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Home Page UTC+8

2019/3/29 0:52:01

UTC

2019/3/28 16:52:01

Authors: Alvin Lam, Ecstrac, Jeremy, Rjbear178 Special Thanks to: ecstrac Verison 2.05NR MacroscopicRating Finished

WELCOME TO THE ENCYCLOPEDIA of AIR TYCOON Here is a spreadsheet program analyzing Air Tycoon

If you want to leave a comment, please leave a comment here by pressing Ctrl+Alt+Shift+A. Thank you.

Please note: 1. This encyclopedia is still incomplete 2. To assure that ratings are fair, every plane is being compared to the planes of the same era and same category (long/short-hauled planes). There will be five evaluating methods, namely capacity, range, fuel efficiency, speed, and deprication per passenger. New planes are not necessarily ranked better than old planes, as they are being compared to planes of the same time. (Although new planes generally have a better chance of surpassing the average of the same category) 3. Profit/Passenger is considered as the most important factor 4. SMS is considered by some more reliable than OMS, but generally it is harder to get a score in OMS than in SMS

What we Have Discovered

Experiment 1

Long-Ranged routes give more profit, already excluding that fact that slot and fuel expenses are higher for short-hauled routes.

Experiment 2

Sub-business are directly related to your routes operating in that city. The occupancy of Economy-class' in a route is related to the price of that of Business-class' and viceversa

Attached Word File

Excel File(Beta)

#ERROR! Then i purchased a new B707-120 upgraded with Super Engine and Fuselage Coatings. (2.15) [[File:2.15.jpg|thumb|220x220px|2.15]] It will be delivered two turns later. [[File:2.16|thumb|220x220px|2.16]]

But then there comes something interesting: the original 707-120 has aged and caused the maintenance expense to rise by 1K: only 8 months into her service. [[File:2.16b|thumb|220x220px|2.16b]] October came and i sold my old B707-120 (2.17,2.18).

Finally, i finished the last turn of this experiment with lowered fuel expense, increased passenger income (The upgraded aircraft can do 1 more flight), and that the sub-business increased for 8.42%! (For just one more flight!) -2.19

[[File:2.16.jpg|thumb|220px|2.17]] [[File:2.17.jpg|thumb|220px|2.18]] [[File:2.18|thumb|220x220px|2.19 ]]




































#ERROR! #ERROR! 'See also: ''[https://docs.google.com/spreadsheets/d/1--n9U06aLQZ5j81C0pDMXTOuSaZAorpO47uE4nisc1g/edit?ts=568327e1#gid=0 Experiment 1] #ERROR! #ERROR! Average Profit made in 12 consecutive months / Cost of Aircraft / Depreciation / Expense
#ERROR!

Aérospatiale-BAC [[Concorde]] is a turbojet-powered supersonic passenger jet airliner that was operated until 2003. It featured a maximum speed over twice the speed of sound at Mach 2.04 (1,354 mph or 2,180 km/h at cruise altitude), with seating

I mention these only because the aircraft is regarded by many as an aviation icon and an engineering marvel, and that over time the aircraft became profitable when it found a customer base willing to pay for flights on what was for most of its career ''''<s>I know what you're saying, okay. Let's get back to our tracks.''''' #ERROR! Small regional aircrafts are usually great for opening routes that are easy to keep as a monopoly and/or from a large city to little cities with a tourism around 120-180 and low business ratings.

Some find that places like the [[Canary Islands]], [[Key West]], the Eastern European cities, the little Indonesian cities around [[Kuala Lumpur]], and [[Singapore]], the small-but-well-rated Korean cities, some of the Appalachian cities in the US, outlie When your passengers have no choice, satisfaction ''may'' not affect the occupancy a lot. You can usually pick up one of these planes with little money after buying big birds for your main routes. Also, the reciprocation rate of these small planes are rather high when compared with other big planes: Suppose you have a concorde and a CRJ-200. Your concorde can make an '''''average''''' of 15,000K every month and throughout 20 years. The cost of buying one concorde is 399,000K. While your CRJ can make 1,800K every month. The cost of it is 24,000K. Excluding all expenses, a concorde can make (15000/399000)*100% of profit. That is about 3.759% of its value. At the same time, 0.0041% of its value vanish every month due to deprecation. (That is about 1635.9 K per month) While your CRJ-200 can make 1800K per month; That is 7.5% of its value and whereas every month you just lose 98K due to depreciation. Therefore it is advisable that long range and routes with huge demands to be operated by large planes and small routes to be operated by small planes.

Did I also say if the concorde isn't being operated in major routes between cities with 300 tourism and 200 business ratings, it is hard to make the price tag in 1.3 and getting 100% occupancy? Any competition can easily destroy your concorde route #ERROR!

* Long-ranged Concorde routes give more profit. A Concorde route at price tag 1.6 between a range of 973 km (Atlanta-Miami) earns less than that of a concorde operated at a range of 3522 km (London-Cairo) given that their occupancy is 100%. I









* #ERROR! So yesterday ''(12/1/2016)'' I occasionally found out that '''''the occupancy of Economy-class' in a route is related to the price of that of Business-class' and vice-versa'''''. Basically the world traveller index was ~3500 at the first part of my experiment. I am using a 737-100 in a route between Luxembourg and Abu Dhabi. The original price tag for both classes are 1.6 until i find business-class isn't full so i lowered the business-class price tag to 1.0

Soon enough, next turn the World Traveller Index rose by 40 something. To my surprise, some passengers have switched from Economy to Business and that the occupancy for economy becomes 98% while vice-versa for Business. I concluded th #ERROR! http://air-tycoon-online.wikia.com/wiki/Tutorial/How_to_play#comm-6865 http://air-tycoon-online.wikia.com/wiki/Free_Talk_Forum#comm-8381

Average / By Capacity Range Fuel Efficiency

1960s 135.96 5143.74

1970s 218.4285714 6299.54

1980s 231.5490196 6574.51

1990s

6895.02 6.977358491

2000s 235.1463415 7416.29

2010s

By Category (6000km+ range= Large Plane) Small | Large

2020s

241.3148148

264.975

7869.87

8673.83

125.7457627 3722.186441

5.888571429

7.395121951

7.792592593

8.1475

6.857627119

0.7705714286

0.7566666667

0.7577358491

0.7775609756

0.7668518519

0.79225

0.7042372881

Class

Maximum Capacity

Range (km)

Fuel Efficiency

Cruise Speed (mach)

Cruise Speed (km/h)

Price (K)

Boeing 707-120

Business/Economy

179

5200

6.2

0.81

992.2743

69,000

Speed

6.470588235

223.6603774

5.62173913 0.6847826087

Plane

337.4 10715.81667 7.325

Overall

Conclusion

*1:"Good" is decipted as "above average"

217.75

Although there is no direct evidence showing that the capacity of planes increase continously and at a same rate in between every decade, the trend of planes' capacities is a constant increase to the end of the game; while short-rangers generally have less capacities than long-rangers do.

7121.2875

Generally Speaking, planes' range increase by every decade. However, the number of short-ranged aircraft : long ranged aircraft throughout the game is almost the same, with a 1:1 ratio. Calculations are available in cell D130 & D131. The average of range by category is much different.

6.8975

0.8096666667

0.7535

Deprication (K)

Max. Number of Passengers Carried when Operated in Maxium Range

*2: When Compared To Planes of the Same Era and Same Category (See J1) # Refer to Cover Page {{Important}} Part bullet point 4 & 5, please note that every category is worth one mark in Overall Macroscopic Rating [EXCEPTION:PROFIT/PASSENGER IS WORTH 3 MARKS]]

IF(C10>=LARGE(C$10:C$128,5),5,0)+IF(D10>=LARGE(D$10:D$128,10),1,0)+IF(E10>=LARGE(E$10:E$128,10),1,0)+IF(F10>=LARGE(F$10:F$128,10),1,0

Needless to say, fuel efficiency increases throughout the game. Generally speaking, large and long-ranged aircraft have better fuel efficiency than short-hauled planes, which the latter is mostly populated at the early years.

*3: If the respective plane is the best among its peers, it will get 2 bonus points: while the remaining top ten will get 1 bonus point. For Overall Macroscopic Rating, one mark has been awarded to a plane that has scored one mark (above average) in between Ref 1 and Ref 4. If a plane gets 0, it is likely that it is not worth purchasing. Top ten planes in any fields (Capacity, Range , Fuel Efficiency and Speed) will get one additional mark per field. TMSR is on a timely basis.

The speed of planes do not seem to be affected by their era, while small planes usually travel slower than juggernauts do.

*4

Deprication/Passenger Charging Price/Passenger

Complete!

TIme Span

275.31

6859.344332

Boeing 707-320

Business/Economy

189

6920

6.3

0.79

967.7737

73,000

1960

1994

291.27

5307.997374

8155.431642

Boeing 717-200

Business/Economy

117

3815

7.9

0.77

943.2731

44,000

1999

2006

175.56

5809.38211

4685.198059

Boeing 727-100

Business/Economy

149

5000

6.5

0.6

735.018

60,000

1960

1963

1994

Cost/ Passenger

1984

239.4

4398.60955

7382.04707

6377.58062

Boeing 727-200

Business/Economy

189

4506

6.7

0.6

735.018

79,000

1963

1984

315.21

6191.12775

7962.657339

Boeing 737-100

Business/Economy

124

2850

6.7

0.74

906.5222

47,000

1968

1973

187.53

7920.570122

4853.841528

Boeing 737-200 Boeing 737-300

Business/Economy Business/Economy

136 146

3500 4200

6.7 7.4

0.74 0.74

906.5222 906.5222

53,000 69,000

1968 1984

1990 1999

211.47 275.31

7073.762626 6328.243525

5421.083666 5932.431311

Boeing 737-400

Business/Economy

168

4204

7.6

0.74

906.5222

80,000

1988

2000

319.2

7274.886005

6827.100611

Boeing 737-500

Business/Economy

132

4444

7.7

0.74

906.5222

56,000

1990

1999

223.44

5407.287971

5399.097225

Boeing 737-600 Boeing 737-700 Boeing 737-800 Boeing 737-900 Boeing 737-7 Boeing 737-8 Boeing 737-9 Boeing 747-100 Boeing 747-200

Business/Economy

130

Business/Economy

148

Business/Economy

189

Business/Economy Business/Economy

215 148

Business/Economy

189

Business/Economy

215

First/Business/Economy First/Business/Economy

550 550

5649 6038 5425 5084 7038

8

0.78

8

0.77

8

0.77

8.1 9.3

0.77 0.79

6704

9.3

0.79

6658

9.4

0.79

9800 12700

6.9 7.1

0.84 0.84

955.5234 943.2731 943.2731 943.2731 967.7737

58,000

1998

2011

70,000

1997

2019

91,000

1998

2020

103,000 74,000

2001 2018

2022 2030

967.7737

99,000

2019

2030

967.7737

116,000

2020

2030

1029.0252 1029.0252

260,000 288,000

1970 1971

1986 1990

231.42

4415.849654

5448.552607

279.3

4643.091371

6275.365084

363.09

6599.342754

7890.986367

410.97 295.26

8010.719806 4086.838185

8898.794839 6404.309472

395.01

5479.018769

8113.248226

462.84

6275.808148

9219.137116

1037.4 1149.12

11597.48443 8949.239955

25037.96696 26587.97759

Boeing 747-300

First/Business/Economy

565

12400

7.5

0.84

1029.0252

308,000

1971

1990

1228.92

9415.728929

27148.38526

Boeing 747-400

First/Business/Economy

580

13450

7.8

0.85

1041.2755

327,000

1989

1998

1304.73

9017.217252

28371.77331

605

14815

8.6

0.86

1053.5258

2030

1444.38

Boeing 757-200

First/Business/Economy

239

7222

7.4

0.7

857.521

107,000

1983

2001

426.93

5698.838573

10616.84633

Boeing 757-300

Boeing 747-8l

First/Business/Economy

289

6287

8.1

0.7

857.521

140,000

1996

2009

558.6

7915.900393

12522.83208

Boeing 767-200 Boeing 767-300

First/Business/Economy

First/Business/Economy

255

11825

7.3

0.8

8.2

0.8

980.024

192,000

2000

2030

8

0.84

1029.0252

249,000

1995

2030

0.84

1029.0252

298,000

1986

2018

10415 14310

8.1

181,000

1982

375 440

14690

980.024

160,000

7.6

First/Business/Economy First/Business/Economy

520

0.8

980.024

11065

Boeing 767-400

First/Business/Economy

350

2012

Boeing 777-200 Boeing 777-300

First/Business/Economy

362,000

1998

2020

2030

638.4

8639.727968

4244.01506

30287.69388

12256.83791

722.19

6225.217239

766.08

7086.142454

17485.23404

6353.89783

21958.80059

993.51 1189.02

7314.905708

16551.68894

26143.33618

Boeing 777-8X

First/Business/Economy

470

17220

9.3

0.84

1029.0252

302,000

2021

2030

1204.98

5640.166117

24785.11351

Boeing 777-9X

First/Business/Economy

550

15185

9.3

0.84

1029.0252

352,000

2021

2030

1404.48

7484.711718

27916.17636

Boeing 787-3

Business/Economy

290

5650

8.5

0.85

1041.2755

160,000

2013

8.5

0.85

1041.2755

166,000

8.5

0.85

1041.2755

190,000

2011

2030

758.1

4395.224992

16855.62845

7560 6035 9620 8950 8950

6

0.73

894.2719

67,000

1960

1978

267.33

4252.085552

7957.231043

Bombardier Dash 8-100 Bombardier Dash 8-200 Bombardier Dash 8-300

Business/Economy

269 189 269 189

Economy

90

Economy

90

Economy

115

Economy Economy

125 135

2946

6.2 6.1

0.76

5397.591375

12376.19015

295.26

3792.359739

8695.538804

0.72 0.76 0.65

6.2

0.67 0.67

882.0216 931.0228 796.2695 820.7701 820.7701

32,000

127.68

5411.157335

35,000

1968

1977

139.65

5658.001208

3527.490274

1966

1982

167.58

5941.53202

4586.990623

47,000

187.53 211.47

7153.856532 6690.124882

3540.604883

4938.612469 5407.059402

380

6116

6.3

0.82

1004.5246

159,000

1971

1989

634.41

12533.65888

15993.61183

380

10622

6.3

0.82

1004.5246

169,000

1971

1989

674.31

7216.706619

17698.17935

360

9254

0.82

1004.5246

175,000

1983

698.25

First/Business/Economy

First/Business/Economy

410

12670

7.2

0.82

1004.5246

215,000

1988

1998

857.85

6527.832356

19931.30193

Business/Economy

172

2910

6.6

0.66

808.5198

70,000

1980

1997

279.3

9596.818732

6811.057196

Business/Economy

139

4390

6.6

7.1

0.76

Business/Economy

172

3860

7.5

0.76

First/Business/Economy

Economy

375 375 280 280 132 156 180 150 220 380 440 380 440 350 380 410 440 440 475 550 700 120

6670 7540 6800 9600 5700 6700 5900 6900 5600 13430 10830 14550 11390 15000 13700 16060 14350 15700 15000 15600 15400 7250

6.6 7.3 7.2 7.4 7.8 7.5 7.4 8.5 7.7 7.8 7.6 9.1 9.1 7.6 7.5 7.9 8 8.3 8.8 8.8 8.7 4.2

0.78 0.78 0.8 0.8 0.78 0.78 0.78 0.78 0.78 0.82 0.82 0.84 0.84 0.82 0.82 0.83 0.83 0.85 0.85 0.85 0.89 2.02

Economy

39

1889

7.7

0.25

First/Business/Economy First/Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy First/Business/Economy

Economy Economy

39 56

1713 1558

7.7 7.8

0.44 0.43

931.0228

60,000

1993

2000

2474.5606 306.2575

15,000

1975 1984 1983 1986 2003 1996 1988 2014 1994 1998 1993 2018 2018 1992 1992 2002 2002 2015 2014 2015 2007 1976 1983 1995 1989 2000 1992 1996 2001 2001 2010 2013 2014 1960 1963 1969 1977 1989 1994 1999 1991 2011 2011 1960 1961 1961 1967 1966 1972 1990 1995 2011 2011 2015 2004 2005 2006 2006 1960 1971 1972 1973

1989 2007 1998 1999 2023 2018 2015 2030 2022 2016 2017 2030 2030 1998 2008 2027 2029 2030 2030 2030 2030 2003 2000 2020 2015 2026 2016 2024 2025 2030 2030 2030 2030 1978 1995 1997 1994 2010 2013 2015 2014 2030 2030 1963 1972 1975 1984 1986 1996 2014 2016 2030 2030 2030 2030 2030 2030 2030 1967 1984 1985 1986

980.024 980.024 955.5234 955.5234 955.5234 955.5234 955.5234 1004.5246 1004.5246 1029.0252 1029.0252 1004.5246 1004.5246 1016.7749 1016.7749 1041.2755 1041.2755 1041.2755 1090.2767

539.0132 526.7629

16,000 24,000

80

2552

8

0.54

661.5162

35,000

2650

7.3

0.78

955.5234

22,000

Economy Business/Economy Business/Economy Business/Economy

50 78 90 104

3045

7.4

3708

7.6

3385

7.7

2843

7.8

0.78

955.5234

0.78

955.5234 955.5234

0.78

24,000 39,000 55,000

5463

8.3

0.78

955.5234

81,000

90 186 186 350 300 420 436 64 83 103 90 180 56 72 84 180 210 164 90 105 168 80 88 114 122 95 256 256 246

6500 7550 10000 4600 11500 12800 10000 1400 4550 4578 2650 9720 2100 3000 3000 2500 4300 5800 3700 3300 4075 3889 3889 4260 3334 8700 7871 9140 11279

4.7 4.8 5 5.4 6 6.2 6.4 6.1 7.5 7.5 4.2 4.3 4.4 4.5 4.5 4.9 5.9 6.3 6.9 7 7.5 7.1 7.1 7.2 7.3 6.1 6.2 6.2 6.4

0.51 0.7 0.73 0.73 0.82 0.78 0.78 0.4 0.78 0.78 0.66 0.63 0.68 0.68 0.68 0.78 0.73 0.73 0.78 0.78 0.68 0.71 0.71 0.71 0.71 0.45 0.79 0.78 0.8

624.7653

29,000 63,000 69,000 136,000 117,000 170,000 190,000 28,000 35,000 47,000 28,000 64,000 16,000 21,000 25,000 59,000 89,000 81,000 41,000 50,000 82,000 39,000 43,000 57,000 62,000 32,000 110,000 119,000 129000

Business/Economy

First/Business/Economy First/Business/Economy Economy Business/Economy Business/Economy Economy Business/Economy Economy Economy Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Business/Economy Economy Business/Economy Business/Economy Business/Economy

955.5234

46,000

145

Business/Economy Business/Economy

0.78

955.5234

125

Business/Economy

Ilyushin IL-18D Ilyushin IL-62 Ilyushin IL-62M Ilyushin IL-86 Ilyushin IL-96-300 Ilyushin IL-96M Ilyushin IL-96-400 Ilyushin IL-114 Sukhoi Superjet 100-75 Sukhoi Superjet 100-95 Tupolev Tu-104 Tupolev Tu-114 Tupolev Tu-124 Tupolev Tu-134 Tupolev Tu-134A Tupolev Tu-154 Tupolev Tu-204-100 Tupolev Tu-204-300 Comac ARJ21-700 Comac ARJ21-900 Comac C919 Embraer E-170 Embraer E-175 Embraer E-190 Embraer E-195 Lockheed Martin L-1049G Lockheed Martin L-1011-100 Lockheed Martin L-1011-200 Lockheed Martin L-1011-500 British Aerisoace BAe14

First/Business/Economy

8.2

0.78

Business/Economy

Bombardier CS 300

First/Business/Economy

5463

1999

77,000

165,000 177,000 116,000 126,000 64,000 77,000 89,000 73,000 109,000 194,000 228,000 223,000 251,000 185,000 203,000 221,000 240,000 245,000 270,000 317,000 400,000 399,000

50

Bombardier CRJ 900

1987

931.0228

Economy

Boombardier CRJ 700

1973

955.5234 955.5234

Economy

Bombardier CS 100

1982 1982

First/Business/Economy First/Business/Economy

Bombardier CRJ 100 Bombardier CRJ 200

1969 1975

1982

8756.884505

42,000 53,000

1965

3673.230847

11427.68984

430.92

2000

6.5

287.28

8333.673782

1999

1983

6.3

1987

434.91

1982

74,000

6.2

1965

1986

108,000

894.2719

Bombardier Dash 8-400

Bombardier CRJ 1000

1968

72,000

894.2719

0.73

2974 2880

109,000

931.0228

0.73

7

3095 3326

931.0228

14673.26968

7.1 6.1

0.76

3989.525396

12013.5509

15200 15700

179

Business/Economy

662.34

10732.88248

290 330

Business/Economy

Business/Economy

2030

638.4

First/Business/Economy First/Business/Economy

DC-8-11 DC-8-61 DC-8-62 DC-8-71 DC-8-72 DC-9-10 DC-9-21 DC-9-30 DC-9-40 DC-9-50 DC-10-10 DC-10-30 DC-10-40 MD-11 MD-81 MD-87 MD-90-30 Airbus A300B4 Airbus A300-600 Airbus A310-200 Airbus A310-300 Airbus A318-100 Airbus A319-100 Airbus A320-200 Airbus A320neo Airbus A321-200 Airbus A330-200 Airbus A330-300 Airbus A330-800 Airbus A330-900 Airbus A340-200 Airbus A340-300 Airbus A340-500 Airbus A340-600 Airbus A350-800 Airbus A350-900 Airbus A350-1000 Airbus A380-800 Concorde

Business/Economy

2011

2030

Boeing 787-8 Boeing 787-9

857.521 894.2719 894.2719 1004.5246 955.5234 955.5234 490.012 955.5234 955.5234 808.5198 771.7689 833.0204 833.0204 833.0204 955.5234 894.2719 894.2719 955.5234 955.5234 833.0204 869.7713 869.7713 869.7713 869.7713 551.2635 967.7737 955.5234 980.024

69,000

239.4 307.23

7847.562014

5919.86456 8331.105475

16276.43446

5659.418965 6905.108207

658.35

10788.17381

16117.6753

706.23

9543.384525

16459.11121

462.84

8103.768088

12022.80956

502.74

5740.169062

12822.78997

255.36

4443.667719

5539.421846

307.23 355.11

4467.785319 5854.138521

6709.850763 7591.43275

291.27

4171.427207

6483.175985

434.91

7538.364881

9209.345714

774.06 909.72

5707.807722

18760.41316

8195.698447

20583.73649

889.77

5396.942458

19053.04626

1001.49

7982.816325

20710.2403

738.15

4706.938631

17826.35284

809.97

5595.318081

18862.55103

881.79

5212.718907

21235.96631

957.6 977.55

6260.755823 5860.299989

22049.83071 22474.17126

1077.3

6621.695025

23942.56952

1264.83

7372.332518

28039.89425

1596

9952.111296

35087.39831

1592.01

8225.125009

4671.577569

59.85

1269.756826

1644.552476

63.84 95.76

2464.380813 3802.217248

1527.943161 2181.630495

139.65

4164.385974

3188.624339

87.78

3620.483991

1938.667457

95.76

3150.831716

1959.336757

155.61

4036.429562

3110.686465

183.54

5101.834161

3558.830496

219.45 275.31

7019.383664 4390.574124

4053.434599 5214.660677

323.19

5093.065984

6049.006385

115.71

1737.189626

4176.351619

251.37 275.31

4242.403095 3340.28638

8333.627533 8775.904333

542.64

13664.09809

14400.3473

466.83

5262.415861

14234.46044

678.3

6296.24794

20746.23584

758.1

8366.214406

20258.94425

111.72

4498.418204

2486.852665

139.65 187.53

3500.331665 4317.217585

3383.228416 4201.48242

111.72

5514.275617

3534.983499

255.36

2870.084531

8746.999875

4460.931385

2157.173013

83.79

4014.838247

2851.297371

99.75

63.84

4683.977955

3326.5136

235.41

13815.76691

6950.94608

355.11

8770.444358

8569.760007

323.19

5077.928868

6967.658603

163.59

4667.48882

3588.5001

199.5 327.18

6105.452548 6896.654657

4142.628482 6869.828613

155.61

3593.008883

3237.703226

171.57

3952.309771

3561.473549

227.43

4674.137665

4662.353673

247.38

6391.465989

4859.649369

127.68

1208.828706

4919.283011

438.9

6320.989116

11298.07353

474.81

5374.477766

11664.75217

514.71

4292.421839

11687.18985

Cost/kM

Deprication/Passenger

0.04013648924 0.05487380258 0.03022008136 0.05442629024 0.05091317975 0.02367632596 0.0298949811 0.04350496293 0.04387697619 0.04132200859 0.05240667553 0.06015388836 0.05501911532 0.05130250588 0.07224655996 0.07209502589 0.07374986441 0.08945043264 0.1284042003 0.1305177761 0.1446931979 0.1671788748 0.07491526467 0.07056683034 0.1504235944 0.1160104093 0.1081095963 0.1563622876 0.1625475498 0.2136426437 0.1876465057 0.05948075935 0.1660197478 0.1724826377 0.06287032486 0.05218706796 0.0782090786 0.07983561001 0.07785653796 0.02359569166 0.02468186111 0.02820484673 0.02621383294 0.03160927542 0.05061650442 0.09343735801 0.0889766782 0.1314142204 0.02910339434 0.0404401144 0.03687745893 0.06102515695 0.07400204803 0.05711417146 0.08758278625 0.05746604295 0.06876561385 0.06065965107 0.06982502284 0.05769288259 0.1356142389 0.1109996916 0.164865571 0.1254557238 0.156821675 0.1447585264 0.1691612411 0.1529527787 0.1668088668 0.1626924822 0.1715644264 0.1603679815 0.193554505 0.04713500947 0.02590508726 0.02518530472 0.03353435557 0.0242453772 0.0303919754 0.03855139737 0.03597529716 0.0312634286 0.06270478353 0.06345686489 0.06660758173 0.05925179536 0.08242107673 0.03971282966 0.08871020694 0.1077308274 0.09061445993 0.02483539656 0.03989621938 0.04343769947 0.02026014073 0.0889729892 0.01431091279 0.02087008115 0.02129600117 0.01703922783 0.0404893966 0.06364602743 0.03504882524 0.03267571051 0.04744039194 0.04330910529 0.04341005891 0.04865710347 0.03870473541 0.1056229053 0.0694353355 0.08834532779 0.1199113273

Maxium Profit

Profit/Passenger

Average Necessary Profit*

Ref1 (Score a Mark = Good* Capacity*) [See AO1] 1960s|1970s|1980s|1990s|2000s|2010s|2020s|Bonus* 1

0

0

0

0

0

0

Ref2 (Score a Mark = Good Range) 1960s|1970s|1980s|1990s|2000s|2010s|2020s|Bonus 0

1

0

0

0

0

0

0

Ref3 (Score a Mark= Good Fuel Efficiency) 1960s|1970s|1980s|1990s|2000s|2010s|2020s 0

1

1

0

0

0

0

Ref4 (Score a Mark= Good Speed) 1960s|1970s|1980s|1990s|2000s|2010s|2020s 0

1

1

1

1

0

0

0

1

0

0

0

0

0

0

0

1

1

1

1

0

0

0

0

1

1

0

0

0

0

0

1

1

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

1 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 0

1 0

1 1

0 1

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

1

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

1

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

1

1

1

0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 0

1 1

0 1

0 0

0 0

0 0

0 0

1 0

1 1

1 1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

1

0 0

1 1

1 1

0 0

0 0

0 0

0 0

1 1

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0

1

1

0

0

0

0

1

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

1

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

1

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

1

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

1

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0 0

0 0

1 1

1 1

1 1

1 1

0 0

0 0

0 0

0 0

1 1

1 1

1 1

1 1

0 0

0 0

0 0

0 0

1 1

1 1

0 1

0 0

0 0

0 0

0 0

1 1

1 1

1 1

1 1

0 0

0

0

0

0

1

1

1

0

0

0

0

0

1

1

1

0

0

0

0

0

1

1

1

0

0

0

0

1

1

1

0

0

0

1

1

1

1

0

0

0

0

1

1

1

1

0

0

0

0

1

1

1

0

0

0

0

1

1

1

1

0

0

0

1

1

1

1

0

0

0

0

1

1

1

1

0

0

0

0

1

1

1

0

0

0

0

1

1

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

0

1

6

0

0

0

0

0

0

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

0

1

0

0

0

0

0

0

1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

0 0

0 1

0 1

0 0

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

5

0

0

0

0

0

1

1

0

0

0

0

0

1

1

1

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

1 1

1 0

1 0

0 0

0 0

0 0

0 0

0 0

1 1

0 1

0 1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

1 1

0 0

0 0

0 0

0 0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

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1 0

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0 1

0 0

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0 0

0 0

0 0

0 0

0 0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0 0

0 0

0 0

0 0

0 0

0 0

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0 0

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1 1

0 0

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0 0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

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1

1

0

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1

1

1

0

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1

1

0

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1

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1

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1

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1

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0

0

0

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0

0

0

0

0

0

0

0

0

0

0

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0

0

0

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1

0

0

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1

1

1

0 0

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0 0

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0 0

0

0

0

0

0

0

0

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0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

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0

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0

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0

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0

0

0

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0

0

0

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1

1

0

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1

1

1

1

0 0

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1 1

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0 0

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1 1

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0 0

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1 1

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1 0

0 0

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0 0

1 1

1 1

1 1

0 0

0

0

0

0

0

1

1

0

0

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1

1

0

0

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1

1

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

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1

1

0

0

0

0

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1

1

0

0

0

1

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

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0

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1

1

0

0

0

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1

1

0

0

0

0

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0

1

1

1

0

0

0

0

0

1

1

1

5

0

0

0

0

1

1

0

0

0

0

0

1

1

1

0 0

0 0

0 0

0 0

1 0

1 1

1 1

0 0

0 0

0 0

0 0

0 0

1 0

1 1

1 1

0 5

0 0

0 0

0 0

0 0

1 0

1 1

0 1

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1 0

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0

0

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1

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1

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1

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1

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0

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1

1

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0

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1

1

0

0

0

0

1

1

1

2

0

0

0

0

1

1

1

0

0

0

0

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1

1

1

0

0

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1

1

1

0

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0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

1

0

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0

0

0

0

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0

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0

0

0

0

0

0

0

0

0

1

1

0

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0

1

1

1

1

0

0

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0

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0

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0

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0

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1

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1

1

1

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1

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0

1

1

1

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 1

0 1

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0

0

0

0

0

0

0

0

0

0

0

0

0

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0

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0

0

0

0

0

1

1

0

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1

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1

1

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0

0

0

0

0

0

1 1

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 1

1 1

1 1

1 1

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0

1

1

1

0

0

0

0

0

0

0

0

0

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0

0

0

0

0

0

0

0

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0

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0

0

0

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0

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1

1

1

0

0

0

0

0

1

1

1

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0

0

0

0

0

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0

0

0

0

1

1

1

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0

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1

1

1

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1

1

1

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1

1

1

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1

1

1

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0

1

1

1

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1

1

1

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0 0

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0 0

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0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 1

1 1

0

0

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0

0

0

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0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 0

1 0

1 0

0 0

0 0

0 0

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0

0

0

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0

0

0

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0

0

0

0

1

1

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

0 0

1 0

1 0

0

0

0

0

0

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0

0

0

0

0

0

0

0

0

0

0

0

0

0

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0

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0

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0

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0

0

0

0

0

0

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

0

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

Complete!

Complete!

Beta

Macroscopic Rating # Capacity | Range | Fuel Efficiency | Speed | Deprication/Passenger | Maxium Profit/Passenger | (Maxium Profit-Deprication)/Passenger

0 1

Complete!

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

0

1

1

0

0

0

0

0

0

1

1

0

0

0

0

0

0

1

0

0

0

0

0

0

1

1

0

0

0

0

Average Average Below Average Average Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Good Good Excellent Good Excellent Excellent Excellent Excellent Excellent Average Average Good Good Good Average Excellent Average Good Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Good Below Average Below Average Below Average Good Excellent Good Good Below Average Below Average Below Average Below Average Below Average Excellent Excellent Good Good Average Good Excellent Excellent Good Good Good Excellent Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Average Average Excellent Excellent Excellent Excellent Below Average Below Average Below Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good

Average Excellent Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Good Good Good Below Average Excellent Excellent Excellent Excellent Excellent Average Average Below Average Good Good Good Average Excellent Good Good Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Below Average Below Average Below Average Good Excellent Average Good Below Average Below Average Below Average Below Average Below Average Excellent Excellent Good Good Average Good Excellent Excellent Good Good Good Excellent Excellent Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Excellent Excellent Below Average Excellent Excellent Excellent Below Average Below Average Below Average Below Average Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Average Good Good Good

Average Average Average Good Good Average Good Average Average Below Average Good Good Good Average Average Average Below Average Average Average Average Average Average Good Average Average Good Good Good Good Below Average Below Average Average Average Average Average Average Average Average Average Average Average Average Average Average Below Average Below Average Average Average Below Average Average Below Average Average Average Average Average Average Average Good Average Average Good Average Average Average Below Average Average Average Average Average Average Average Good Below Average Average Average Excellent Average Below Average Average Below Average Below Average Below Average Average Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average

Excellent Excellent Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Excellent Excellent Good Excellent Excellent Below Average Below Average Below Average Below Average Below Average Below Average Good Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Below Average Below Average Good Good Excellent Below Average Excellent Good Good Below Average Below Average Below Average Below Average Good Good Below Average Below Average Below Average Good Excellent Below Average Below Average Below Average Below Average Good Excellent Good Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average

Below Average

Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Good Good Good Below Average Good Good Good Good Good Good Good Below Average Good Good Below Average Below Average Good Good Good Below Average Below Average Below Average Below Average Below Average Below Average Good Good Good Below Average Below Average Below Average Below Average Below Average Below Average Good Below Average Below Average Below Average Below Average Below Average Good Good Good Good Good Good Good Good Good Good Good Good Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Below Average Good Good Good Below Average Below Average Below Average Below Average Good Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Below Average Good Good Below Average

*3

Beta

Beta

Beta

Beta

Incomplete

Incomplete

OMSR

Overall Macroscopic Rating (OMS)

SMSR

Simplified Macroscopic Rating (SMS)

TMSR

Timed Marcoscopic Rating (TMS)

7 9 2 4 4 2 4 2 2 1 5 5 5 4 3 3 4 9 9 9 10 10 8 6 13 14 13 14 15 7 6 7 10 8 5 10 10 8 4 2 2 2 2 2 5 7 8 6 1 2 1 6 10 7 6 4 4 6 2 7 13 12 9 9 6 8 13 12 10 12 12 17 8 2 2 4 2 3 5 3 3 1 2 2 3 7 5 6 11 11 9 0 1 1 2 4 0 0 0 3 0 0 1 1 0 0 0 0 2 2 7 7 5

Good Good Below Average Average Average Below Average Average Below Average Below Average Below Average Average Average Average Average Below Average Below Average Average Good Good Good Excellent Excellent Good Average Excellent Excellent Excellent Excellent Excellent Good Average Good Excellent Good Average Excellent Excellent Good Average Below Average Below Average Below Average Below Average Below Average Average Good Good Average Below Average Below Average Below Average Average Excellent Good Average Average Average Average Below Average Good Excellent Excellent Good Good Average Good Excellent Excellent Excellent Excellent Excellent Excellent Good Below Average Below Average Average Below Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Good Average Average Excellent Excellent Good Below Average Below Average Below Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Average

8 11 4 4 4 2 4 2 2 1 6 6 6 5 4 4 2 9 9 9 9 9 8 4 14 15 12 15 15 10 5 6 8 13 5 9 9 6 4 2 4 2 2 2 5 7 8 8 1 4 2 8 11 7 8 5 5 7 4 6 12 11 8 8 4 8 16 11 13 8 14 14 7 2 2 4 2 4 6 4 4 3 4 4 2 5 5 3 9 9 9 0 2 2 0 3 0 0 0 3 0 0 2 2 0 0 0 0 0 2 7 7 7

Good Good Below Average Average Average Below Average Average Below Average Below Average Below Average Average Average Average Average Below Average Below Average Average Good Good Good Excellent Excellent Good Average Excellent Excellent Excellent Excellent Excellent Good Average Good Excellent Good Average Excellent Excellent Good Average Below Average Below Average Below Average Below Average Below Average Average Good Good Average Below Average Below Average Below Average Average Excellent Good Average Average Average Average Below Average Good Excellent Excellent Good Good Average Good Excellent Excellent Excellent Excellent Excellent Excellent Good Below Average Below Average Average Below Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Good Average Average Excellent Excellent Good Below Average Below Average Below Average Below Average Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Below Average Good Good Average

1 1 2 1 1 1 1 2 2 2 2 2 2 2 2 2 2 4 5 5 5 5 3 3 4 4 4 5 5 5 5 4 5 5 2 2 2 4 2 1 1 1 1 1 2 3 3 4 1 2 2 2 4 3 4 2 2 2 2 2 4 4 5 5 4 4 4 4 5 5 5 5 3 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 3 3 3 0 2 2 0 2 0 0 0 1 0 0 1 1 1 1 1 1 1 2 3 3 3

Ref4

Ref5

Ref6

179 179 179 189 189 189 FALSE FALSE FALSE 149 149 149 189 189 189 124 124 FALSE 136 136 136 FALSE FALSE 146 FALSE FALSE 168 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 550 550 FALSE 550 550 FALSE 565 565 FALSE FALSE 580 FALSE FALSE FALSE FALSE FALSE 239 FALSE FALSE FALSE FALSE FALSE 255 FALSE FALSE 350 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 179 179 FALSE 269 269 269 189 189 189 FALSE FALSE 269 FALSE FALSE 189 90 90 90 90 90 FALSE 115 115 115 125 125 125 FALSE 135 135 FALSE 380 380 FALSE 380 380 FALSE 360 360 FALSE FALSE 410 FALSE FALSE 172 FALSE FALSE 139 FALSE FALSE FALSE FALSE 375 375 FALSE FALSE 375 FALSE FALSE 280 FALSE FALSE 280 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 180 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 120 120 FALSE FALSE 39 FALSE FALSE FALSE FALSE FALSE 56 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 90 90 FALSE 186 186 186 186 186 186 FALSE 350 350 FALSE FALSE 300 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 90 FALSE FALSE 180 180 FALSE 56 56 FALSE 72 72 72 84 84 84 FALSE 180 180 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 95 FALSE FALSE FALSE 256 256 FALSE 256 256 FALSE 246 246

Ref7

Ref8

Ref9

Ref11 Ref12 Ref13

179 FALSEFALSEFALSE 179 FALSE 189 FALSEFALSEFALSE FALSE 189 117 117 FALSEFALSE 117 FALSE FALSEFALSEFALSEFALSE 149 FALSE FALSEFALSEFALSEFALSE 189 FALSE FALSEFALSEFALSEFALSE 124 FALSE FALSEFALSEFALSEFALSE 136 FALSE 146 FALSEFALSEFALSE 146 FALSE 168 FALSEFALSEFALSE 168 FALSE 132 FALSEFALSEFALSE 132 FALSE 130 130 130 FALSE 130 FALSE 148 148 148 FALSE FALSE 148 189 189 189 FALSE 189 FALSE FALSE 215 215 215 215 FALSE FALSEFALSE 148 148 FALSE 148 FALSEFALSE 189 189 FALSE 189 FALSEFALSEFALSE 215 FALSE 215 FALSEFALSEFALSEFALSE FALSE 550 FALSEFALSEFALSEFALSE FALSE 550 FALSEFALSEFALSEFALSE FALSE 565 580 FALSEFALSEFALSE FALSE 580 FALSEFALSE 605 605 FALSE 605 239 239 FALSEFALSE FALSE 239 289 289 FALSEFALSE FALSE 289 255 255 255 FALSE FALSE 255 350 350 350 FALSE FALSE 350 FALSE 375 375 375 FALSE 375 440 440 440 440 FALSE 440 520 520 520 520 FALSE 520 FALSEFALSEFALSE 470 FALSE 470 FALSEFALSEFALSE 550 FALSE 550 FALSEFALSE 290 290 290 FALSE FALSEFALSE 290 290 FALSE 290 FALSEFALSE 330 330 FALSE 330 FALSEFALSEFALSEFALSE FALSE 179 FALSEFALSEFALSEFALSE FALSE 269 FALSEFALSEFALSEFALSE FALSE 189 269 FALSEFALSEFALSE FALSE 269 189 FALSEFALSEFALSE FALSE 189 FALSEFALSEFALSEFALSE 90 FALSE FALSEFALSEFALSEFALSE 90 FALSE FALSEFALSEFALSEFALSE 115 FALSE FALSEFALSEFALSEFALSE 125 FALSE FALSEFALSEFALSEFALSE 135 FALSE FALSEFALSEFALSEFALSE FALSE 380 FALSEFALSEFALSEFALSE FALSE 380 FALSEFALSEFALSEFALSE FALSE 360 410 FALSEFALSEFALSE FALSE 410 172 FALSEFALSEFALSE 172 FALSE 139 FALSEFALSEFALSE 139 FALSE 172 FALSEFALSEFALSE 172 FALSE FALSEFALSEFALSEFALSE FALSE 375 375 375 FALSEFALSE FALSE 375 280 FALSEFALSEFALSE FALSE 280 280 FALSEFALSEFALSE FALSE 280 FALSE 132 132 132 132 FALSE 156 156 156 FALSE FALSE 156 180 180 180 FALSE 180 FALSE FALSEFALSE 150 150 FALSE 150 220 220 220 220 220 FALSE 380 380 380 FALSE FALSE 380 440 440 440 FALSE FALSE 440 FALSEFALSE 380 380 FALSE 380 FALSEFALSE 440 440 FALSE 440 350 FALSEFALSEFALSE FALSE 350 380 380 FALSEFALSE FALSE 380 FALSE 410 410 410 FALSE 410 FALSE 440 440 440 FALSE 440 FALSEFALSE 440 440 FALSE 440 FALSEFALSE 475 475 FALSE 475 FALSEFALSE 550 550 FALSE 550 FALSE 700 700 700 FALSE 700 120 120 FALSEFALSE FALSE 120 39 FALSEFALSEFALSE 39 FALSE 39 39 39 FALSE 39 FALSE 56 56 56 FALSE 56 FALSE FALSE 80 80 80 80 FALSE 50 50 50 FALSE 50 FALSE 50 50 50 50 50 FALSE FALSE 78 78 78 78 FALSE FALSE 90 90 90 90 FALSE FALSEFALSE 104 104 104 FALSE FALSEFALSE 125 125 125 FALSE FALSEFALSE 145 145 145 FALSE FALSEFALSEFALSEFALSE FALSE 90 186 FALSEFALSEFALSE FALSE 186 186 FALSEFALSEFALSE FALSE 186 350 FALSEFALSEFALSE 350 FALSE 300 300 FALSEFALSE FALSE 300 420 420 420 FALSE FALSE 420 436 436 436 FALSE FALSE 436 64 64 64 FALSE 64 FALSE FALSEFALSE 83 83 83 FALSE FALSEFALSE 103 103 103 FALSE FALSEFALSEFALSEFALSE 90 FALSE FALSEFALSEFALSEFALSE FALSE 180 FALSEFALSEFALSEFALSE 56 FALSE FALSEFALSEFALSEFALSE 72 FALSE FALSEFALSEFALSEFALSE 84 FALSE 180 FALSEFALSEFALSE 180 FALSE 210 210 210 FALSE 210 FALSE 164 164 164 FALSE 164 FALSE FALSEFALSE 90 90 90 FALSE FALSEFALSE 105 105 105 FALSE FALSEFALSE 168 168 168 FALSE FALSE 80 80 80 80 FALSE FALSE 88 88 88 88 FALSE FALSE 114 114 114 114 FALSE FALSE 122 122 122 122 FALSE FALSEFALSEFALSEFALSE FALSE 95 FALSEFALSEFALSEFALSE FALSE 256 FALSEFALSEFALSEFALSE FALSE 256 FALSEFALSEFALSEFALSE FALSE 246

Ref14

Ref15 Ref16 Ref17

Ref18

Ref19

Ref20

Ref21

Ref22

5200 6920 FALSE 5000 4506 2850 3500 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7560 6035 9620 FALSE FALSE 2946 2974 3095 2880 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6500 7550 10000 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 2650 9720 2100 3000 3000 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8700 FALSE FALSE FALSE

5200 5200 5200 6920 6920 6920 FALSE FALSE 3815 5000 5000 FALSE 4506 4506 FALSE 2850 FALSE FALSE 3500 3500 FALSE FALSE 4200 4200 FALSE 4204 4204 FALSE FALSE 4444 FALSE FALSE 5649 FALSE FALSE 6038 FALSE FALSE 5425 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 9800 9800 FALSE 12700 12700 FALSE 12400 12400 FALSE FALSE 13450 13450 FALSE FALSE FALSE FALSE 7222 7222 FALSE FALSE 6287 FALSE 11825 11825 FALSE 11065 11065 FALSE FALSE FALSE FALSE FALSE 14310 FALSE FALSE 14690 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7560 FALSE FALSE 6035 6035 FALSE 9620 9620 FALSE FALSE 8950 8950 FALSE 8950 8950 2946 2946 FALSE 2974 FALSE FALSE 3095 3095 FALSE 2880 2880 FALSE 3326 3326 FALSE 6116 6116 FALSE 10622 10622 FALSE 9254 9254 FALSE FALSE 12670 12670 FALSE 2910 2910 FALSE 4390 4390 FALSE FALSE 3860 6670 6670 FALSE FALSE 7540 7540 FALSE 6800 6800 FALSE 9600 9600 FALSE FALSE FALSE FALSE FALSE 6700 FALSE 5900 5900 FALSE FALSE FALSE FALSE FALSE 5600 FALSE FALSE 13430 FALSE FALSE 10830 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 15000 FALSE FALSE 13700 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7250 7250 7250 FALSE 1889 1889 FALSE FALSE 1713 FALSE 1558 1558 FALSE FALSE FALSE FALSE FALSE 2650 FALSE FALSE 3045 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6500 FALSE FALSE 7550 7550 7550 10000 10000 10000 4600 4600 4600 FALSE 11500 11500 FALSE FALSE 12800 FALSE FALSE 10000 FALSE FALSE 1400 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 9720 FALSE FALSE 2100 FALSE FALSE 3000 3000 FALSE 3000 3000 FALSE 2500 2500 2500 FALSE FALSE 4300 FALSE FALSE 5800 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7871 7871 FALSE 9140 9140 FALSE 11279 11279 FALSE

FALSE FALSE 3815 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5649 6038 5425 5084 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7222 6287 11825 11065 10415 14310 14690 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7540 FALSE FALSE 5700 6700 5900 FALSE 5600 13430 10830 FALSE FALSE FALSE 13700 16060 14350 FALSE FALSE FALSE 15400 7250 FALSE 1713 1558 2552 2650 3045 3708 3385 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 11500 12800 10000 1400 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4300 5800 FALSE FALSE FALSE 3889 3889 4260 3334 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5649 6038 5425 5084 7038 6704 FALSE FALSE FALSE FALSE FALSE 14815 FALSE FALSE 11825 11065 10415 14310 14690 FALSE FALSE 5650 15200 15700 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5700 6700 5900 6900 5600 13430 10830 14550 11390 FALSE FALSE 16060 14350 15700 15000 15600 15400 FALSE FALSE 1713 1558 2552 2650 3045 3708 3385 2843 5463 5463 FALSE FALSE FALSE FALSE FALSE 12800 10000 1400 4550 4578 FALSE FALSE FALSE FALSE FALSE FALSE 4300 5800 3700 3300 4075 3889 3889 4260 3334 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5084 7038 6704 6658 FALSE FALSE FALSE FALSE 14815 FALSE FALSE FALSE FALSE 10415 14310 14690 17220 15185 5650 15200 15700 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5700 FALSE FALSE 6900 5600 FALSE FALSE 14550 11390 FALSE FALSE 16060 14350 15700 15000 15600 15400 FALSE FALSE FALSE FALSE 2552 FALSE 3045 3708 3385 2843 5463 5463 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4550 4578 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 3700 3300 4075 3889 3889 4260 3334 FALSE FALSE FALSE FALSE

5200 FALSE 3815 5000 4506 2850 3500 4200 4204 4444 5649 FALSE 5425 5084 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5650 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 2946 2974 3095 2880 3326 FALSE FALSE FALSE FALSE 2910 4390 3860 FALSE FALSE FALSE FALSE 5700 FALSE 5900 FALSE 5600 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 1889 1713 1558 2552 2650 3045 3708 3385 2843 5463 5463 FALSE FALSE FALSE 4600 FALSE FALSE FALSE 1400 4550 4578 2650 FALSE 2100 3000 3000 2500 4300 5800 3700 3300 4075 3889 3889 4260 3334 FALSE FALSE FALSE FALSE

FALSE 6920 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6038 FALSE FALSE 7038 6704 6658 9800 12700 12400 13450 14815 7222 6287 11825 11065 10415 14310 14690 17220 15185 FALSE 15200 15700 7560 6035 9620 8950 8950 FALSE FALSE FALSE FALSE FALSE 6116 10622 9254 12670 FALSE FALSE FALSE 6670 7540 6800 9600 FALSE 6700 FALSE 6900 FALSE 13430 10830 14550 11390 15000 13700 16060 14350 15700 15000 15600 15400 7250 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6500 7550 10000 FALSE 11500 12800 10000 FALSE FALSE FALSE FALSE 9720 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8700 7871 9140 11279

IPT Ref 1

IPT Ref 2

IPT Ref 3

IPT Ref 4

Present

Absent

Absent

Absent

Absent

Present

Present

Absent

Absent

Absent Present

Present

Present

Present

Present

Present

Present

Absent

Absent Present

Absent

Absent

Absent

IPT Ref 7

Present Present

Present

Absent

IPT Ref 6

Present Present

Absent

Present Present

Present

IPT Ref 5

Present Present

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Absent

Present

Absent

Absent

Absent

Absent

Present

Absent

Absent

Absent

Absent

Absent Absent Absent Absent Absent

Absent Absent Absent Absent Absent Absent Absent Present

Absent

Present

Present

Present

Absent

Present

Present

Present

Absent

Present

Present

Present

Absent

Present

Absent Absent Absent Absent Present Present

Absent Absent Absent Absent

Absent

Present

Absent

Present

Present

Absent

Absent

Absent

Present

Present

Absent

Absent

Absent

Present

Absent

Absent

Absent

Present

Absent Absent

Absent

Present

Absent

Absent

Absent Absent

Absent

Present Present Present

Present

Absent

Present

Absent Absent Absent

Absent Absent Absent

Absent

Present

Absent

Present

Present Present

Absent

Present

Present

Present

Present

Absent

Absent

Present

Present

Absent

Absent

Absent

Absent

Absent

Present

Absent

Present

Absent

Absent

Absent Absent

Absent

Absent Absent Absent Present

Absent Absent Absent

Absent

Absent Absent

Absent

Absent

Absent

Present Present

Present Present

Absent Absent Absent Absent

Absent

Absent

Absent

Absent

Present

Present

Present

Absent

Absent

Absent

Present

Present

Present

Present

Absent

Present

Present

Present

Absent

Absent

Present

Absent

Absent

Absent

Absent

Absent

Absent

Present

Absent

Absent

Absent

Absent

Absent

Absent

Present

Absent Absent

Absent Absent

Absent Absent

Absent

Present

Present

Present

Present

Absent

Absent

Absent

Absent

Present

Present

Present

Absent

Absent

Absent

Absent

Absent

Present

Present

Present

Present

Present

Absent

Absent

Absent

Absent

Absent

Absent

Present

Present

Absent

Absent

Absent

Present

Present

Absent Present

Absent Present

Present

Absent

Absent Absent

Absent Present

Present

Absent

Absent

Absent

Absent Absent

Absent

Absent Absent

Absent

Absent Absent

Present

Present

Absent

Absent

Absent

Absent

Absent

Present

Present

Present

Absent

Absent

Absent

Absent

Present Absent

Present Present

Present Present

Absent Absent

Absent Absent

Absent Absent

Absent

Present

Present

Absent

Absent

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Absent Absent

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Present

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Present Present

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Absent

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Present Present

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Present

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Absent

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Absent

Present

Present

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Present

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Absent

Absent

Present

Absent

Present

Present

Present

Present

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Absent

Absent

Present

Present

Absent

Absent

Absent Absent

Absent

Absent

Absent

Absent

Present

Present

Absent Absent Absent Absent

Absent

Absent

Present

Present

Present

Absent

Present

Present

Present

Absent

Present

Absent Absent

Absent Absent

Absent

Present

Present Present

Absent Absent

Absent

Present

Present

Absent Absent

Present

Present

Absent Present

Absent

Absent

Absent

Present

Present

Present

Absent

Absent

Absent

Present

Present

Present

Absent

Present

Present

Present

Present

Absent

Absent

Present

Present

Absent

Absent

Absent

Present

Present

Present

Present

Present

Absent

Absent

Absent

Present

Present

Present

Absent

Absent

Absent Absent

Absent

Absent

Present

Absent

Absent

Present

Absent Absent

Absent

Present

Absent

Present

Absent

Present

Absent

Absent Absent

Absent Absent

Present

Absent

Absent

Absent Present

Present

Absent

Absent

Absent Present

Present

Absent

Present

Absent

Absent

Present

Present

Present

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Absent

Present

Present

Present

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Absent Absent

Absent Absent Absent

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Absent

Present

Present

Present

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Absent

Absent

Present

Present

Present

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Absent

Present

Present

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Present

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Absent Absent Absent

Absent

Absent Absent Absent Absent

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Present

Present

Present

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Absent

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Present

Present

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Absent

Absent

Absent

Present

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Absent

Absent Absent Absent

Absent

Absent Absent Absent

Present Present

Absent Absent

Present

Absent

Present Present

Absent Present

Present

Absent

Absent Absent

Present Present

Present

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Present

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Absent

Absent

Present

Present

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Absent

Absent

Absent

Present

Present

Present

Absent Absent

Absent

Present

Present

Present

Present

Present

Present

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Absent

Present

Present

Present

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Absent

Absent

Present

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Absent Absent

Absent Absent

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Absent

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Absent Present

Present

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Ref 23

Ref 24

Ref 25

Ref 26

Ref 27

Ref 28

Ref 29 Ref 30

Ref 31

Ref 32

Ref 33

Ref 34

Ref 35

Ref 36

Ref 37

Ref 38

Ref 39

Ref 40

6.2 6.3 FALSE 6.5 6.7 6.7 6.7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6 6.2 6.1 FALSE FALSE 6.1 6.3 6.2 6.2 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.7 4.8 5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.2 4.3 4.4 4.5 4.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.1 FALSE FALSE FALSE

6.2 6.3 FALSE 6.5 6.7 6.7 6.7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.9 7.1 7.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6 6.2 6.1 FALSE FALSE 6.1 6.3 6.2 6.2 6.5 6.3 6.3 6.6 FALSE FALSE FALSE FALSE 6.6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.2 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.7 4.8 5 5.4 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.3 4.4 4.5 4.5 4.9 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.2 6.2 6.4

6.2 6.3 FALSE 6.5 6.7 FALSE 6.7 7.4 7.6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.9 7.1 7.5 7.8 FALSE 7.4 FALSE 7.3 7.6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.2 6.1 7.1 7 6.1 FALSE 6.2 6.2 6.5 6.3 6.3 6.6 7.2 6.6 7.1 FALSE 6.6 7.3 7.2 7.4 FALSE FALSE 7.4 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.2 7.7 FALSE 7.8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.8 5 5.4 6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.5 4.5 4.9 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.2 6.2 6.4

6.2 6.3 7.9 FALSE FALSE FALSE FALSE 7.4 7.6 7.7 8 8 8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.8 FALSE 7.4 8.1 7.3 7.6 FALSE 8 8.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.1 7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.2 6.6 7.1 7.5 FALSE 7.3 7.2 7.4 FALSE 7.5 7.4 FALSE 7.7 7.8 7.6 FALSE FALSE 7.6 7.5 FALSE FALSE FALSE FALSE FALSE FALSE 4.2 7.7 7.7 7.8 FALSE 7.3 7.4 FALSE FALSE FALSE FALSE FALSE FALSE 4.8 5 5.4 6 6.2 6.4 6.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.9 5.9 6.3 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE

FALSE FALSE 7.9 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8 8 8 8.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.4 8.1 7.3 7.6 8.2 8 8.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.3 FALSE FALSE 7.8 7.5 7.4 FALSE 7.7 7.8 7.6 FALSE FALSE FALSE 7.5 7.9 8 FALSE FALSE FALSE 8.7 4.2 FALSE 7.7 7.8 8 7.3 7.4 7.6 7.7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6 6.2 6.4 6.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 5.9 6.3 FALSE FALSE FALSE 7.1 7.1 7.2 7.3 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8 8 8 8.1 9.3 9.3 FALSE FALSE FALSE FALSE FALSE 8.6 FALSE FALSE 7.3 7.6 8.2 8 8.1 FALSE FALSE 8.5 8.5 8.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.8 7.5 7.4 8.5 7.7 7.8 7.6 9.1 9.1 FALSE FALSE 7.9 8 8.3 8.8 8.8 8.7 FALSE FALSE 7.7 7.8 8 7.3 7.4 7.6 7.7 7.8 8.2 8.3 FALSE FALSE FALSE FALSE FALSE 6.2 6.4 6.1 7.5 7.5 FALSE FALSE FALSE FALSE FALSE FALSE 5.9 6.3 6.9 7 7.5 7.1 7.1 7.2 7.3 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8.1 9.3 9.3 9.4 FALSE FALSE FALSE FALSE 8.6 FALSE FALSE FALSE FALSE 8.2 8 8.1 9.3 9.3 8.5 8.5 8.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.8 FALSE FALSE 8.5 7.7 FALSE FALSE 9.1 9.1 FALSE FALSE 7.9 8 8.3 8.8 8.8 8.7 FALSE FALSE FALSE FALSE 8 FALSE 7.4 7.6 7.7 7.8 8.2 8.3 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.5 7.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.9 7 7.5 7.1 7.1 7.2 7.3 FALSE FALSE FALSE FALSE

FALSE 6.3 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8 FALSE FALSE 9.3 9.3 9.4 6.9 7.1 7.5 7.8 8.6 7.4 8.1 7.3 7.6 8.2 8 8.1 9.3 9.3 FALSE 8.5 8.5 6 6.2 6.1 7.1 7 FALSE FALSE FALSE FALSE FALSE 6.3 6.3 6.6 7.2 FALSE FALSE FALSE 6.6 7.3 7.2 7.4 FALSE 7.5 FALSE 8.5 FALSE 7.8 7.6 9.1 9.1 7.6 7.5 7.9 8 8.3 8.8 8.8 8.7 4.2 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 4.7 4.8 5 FALSE 6 6.2 6.4 FALSE FALSE FALSE FALSE 4.3 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.1 6.2 6.2 6.4

0.81 0.79 FALSE 0.6 0.6 0.74 0.74 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.73 0.76 0.76 FALSE FALSE 0.72 0.76 0.65 0.67 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.51 0.7 0.73 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.66 0.63 0.68 0.68 0.68 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.45 FALSE FALSE FALSE

0.81 0.79 FALSE 0.6 0.6 0.74 0.74 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.84 0.84 0.84 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.73 0.76 0.76 FALSE FALSE 0.72 0.76 0.65 0.67 0.67 0.82 0.82 0.82 FALSE FALSE FALSE FALSE 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 2.02 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.51 0.7 0.73 0.73 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.63 0.68 0.68 0.68 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.79 0.78 0.8

0.81 0.79 FALSE 0.6 0.6 FALSE 0.74 0.74 0.74 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.84 0.84 0.84 0.85 FALSE 0.7 FALSE 0.8 0.8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.76 0.76 0.73 0.73 0.72 FALSE 0.65 0.67 0.67 0.82 0.82 0.82 0.82 0.66 0.76 FALSE 0.78 0.78 0.8 0.8 FALSE FALSE 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 2.02 0.25 FALSE 0.43 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.7 0.73 0.73 0.82 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.68 0.68 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.79 0.78 0.8

0.81 0.79 0.77 FALSE FALSE FALSE FALSE 0.74 0.74 0.74 0.78 0.77 0.77 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.85 FALSE 0.7 0.7 0.8 0.8 FALSE 0.84 0.84 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.73 0.73 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.82 0.66 0.76 0.76 FALSE 0.78 0.8 0.8 FALSE 0.78 0.78 FALSE 0.78 0.82 0.82 FALSE FALSE 0.82 0.82 FALSE FALSE FALSE FALSE FALSE FALSE 2.02 0.25 0.44 0.43 FALSE 0.78 0.78 FALSE FALSE FALSE FALSE FALSE FALSE 0.7 0.73 0.73 0.82 0.78 0.78 0.4 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.73 0.73 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE

FALSE FALSE 0.77 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.77 0.77 0.77 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.7 0.7 0.8 0.8 0.8 0.84 0.84 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 FALSE FALSE 0.78 0.78 0.78 FALSE 0.78 0.82 0.82 FALSE FALSE FALSE 0.82 0.83 0.83 FALSE FALSE FALSE 0.89 2.02 FALSE 0.44 0.43 0.54 0.78 0.78 0.78 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.82 0.78 0.78 0.4 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.73 0.73 FALSE FALSE FALSE 0.71 0.71 0.71 0.71 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.77 0.77 0.77 0.79 0.79 FALSE FALSE FALSE FALSE FALSE 0.86 FALSE FALSE 0.8 0.8 0.8 0.84 0.84 FALSE FALSE 0.85 0.85 0.85 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.78 0.78 0.78 0.78 0.82 0.82 0.84 0.84 FALSE FALSE 0.83 0.83 0.85 0.85 0.85 0.89 FALSE FALSE 0.44 0.43 0.54 0.78 0.78 0.78 0.78 0.78 0.78 0.78 FALSE FALSE FALSE FALSE FALSE 0.78 0.78 0.4 0.78 0.78 FALSE FALSE FALSE FALSE FALSE FALSE 0.73 0.73 0.78 0.78 0.68 0.71 0.71 0.71 0.71 FALSE FALSE FALSE FALSE

FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.77 0.79 0.79 0.79 FALSE FALSE FALSE FALSE 0.86 FALSE FALSE FALSE FALSE 0.8 0.84 0.84 0.84 0.84 0.85 0.85 0.85 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 FALSE FALSE 0.78 0.78 FALSE FALSE 0.84 0.84 FALSE FALSE 0.83 0.83 0.85 0.85 0.85 0.89 FALSE FALSE FALSE FALSE 0.54 FALSE 0.78 0.78 0.78 0.78 0.78 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.78 0.78 0.68 0.71 0.71 0.71 0.71 FALSE FALSE FALSE FALSE

0.81 FALSE 0.77 0.6 0.6 0.74 0.74 0.74 0.74 0.74 0.78 FALSE 0.77 0.77 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.85 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.72 0.76 0.65 0.67 0.67 FALSE FALSE FALSE FALSE 0.66 0.76 0.76 FALSE FALSE FALSE FALSE 0.78 FALSE 0.78 FALSE 0.78 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.25 0.44 0.43 0.54 0.78 0.78 0.78 0.78 0.78 0.78 0.78 FALSE FALSE FALSE 0.73 FALSE FALSE FALSE 0.4 0.78 0.78 0.66 FALSE 0.68 0.68 0.68 0.78 0.73 0.73 0.78 0.78 0.68 0.71 0.71 0.71 0.71 FALSE FALSE FALSE FALSE

FALSE 0.79 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.77 FALSE FALSE 0.79 0.79 0.79 0.84 0.84 0.84 0.85 0.86 0.7 0.7 0.8 0.8 0.8 0.84 0.84 0.84 0.84 FALSE 0.85 0.85 0.73 0.76 0.76 0.73 0.73 FALSE FALSE FALSE FALSE FALSE 0.82 0.82 0.82 0.82 FALSE FALSE FALSE 0.78 0.78 0.8 0.8 FALSE 0.78 FALSE 0.78 FALSE 0.82 0.82 0.84 0.84 0.82 0.82 0.83 0.83 0.85 0.85 0.85 0.89 2.02 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.51 0.7 0.73 FALSE 0.82 0.78 0.78 FALSE FALSE FALSE FALSE 0.63 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 0.45 0.79 0.78 0.8

6.2 FALSE 7.9 6.5 6.7 6.7 6.7 7.4 7.6 7.7 8 FALSE 8 8.1 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 8.5 FALSE FALSE FALSE FALSE FALSE FALSE FALSE 6.1 6.3 6.2 6.2 6.5 FALSE FALSE FALSE FALSE 6.6 7.1 7.5 FALSE FALSE FALSE FALSE 7.8 FALSE 7.4 FALSE 7.7 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE 7.7 7.7 7.8 8 7.3 7.4 7.6 7.7 7.8 8.2 8.3 FALSE FALSE FALSE 5.4 FALSE FALSE FALSE 6.1 7.5 7.5 4.2 FALSE 4.4 4.5 4.5 4.9 5.9 6.3 6.9 7 7.5 7.1 7.1 7.2 7.3 FALSE FALSE FALSE FALSE

時間戳記

未命名的問題

Plane

Class

Maximum Capacity

Range (km)

Boeing 707-320F

Freighter

42

4800

Fuel Cruise Speed Cruise Speed Efficiency (mach) (km/h)

Number of Cargo Carried in a turn 42

6.5

0.60

735.018

53,000

1964

1984

211.47

27

3612

6.7

0.60

735.018

77,000

1970

307.23

35

Boeing 737-200F

Freighter

25

2733

6.7

0.74

906.5222

50,000

1972

199.50

25

Freighter Freighter Freighter

Boeing 737-7F

Freighter

Boeing 737-9F

Freighter

31

3360

7.4

0.74

27

5234

8.0

0.77

42

3900

8.1

0.77

28

4925

9.1

0.78

40

4640

9.1

0.78

906.5222 943.2731 943.2731 955.5234 955.5234

70,000

279.30

4040

35

Boeing 737-900F

967.7737

Deprication (K) 1994

27

Freighter

Boeing 737-300F

0.79

Time Span 1960

Freighter

Boeing 727-200F

Boeing 737-700F

6.3

Price (K)

Boeing 727-100QF

75,000

1984

62,000

1997

94,000

2001

71,000

2019

94,000

2019

299.25 247.38 375.06 283.29 375.06

31 27 42 28 40

Boeing 747-100F

Freighter

96

5427

6.9

0.84

1029.0252

253,000

1970

1009.47

96

Boeing 747-200F

Freighter

110

7300

7.1

0.84

1029.0252

271,000

1972

1081.29

110

Boeing 747-400F

Freighter

113

8230

7.8

0.85

1041.2755

309,000

1993

1232.91

113

Boeing 747-8F

Freighter

118

8130

8.6

0.86

1053.5258

341,000

2012

1360.59

118

Boeing 757-200F

Freighter

42

5834

7.4

0.70

857.521

99,000

1984

395.01

42

Boeing 757-300F

Freighter

50

5000

8.0

0.70

857.521

134,000

1999

534.66

Boeing 767-300F

Freighter

54

6025

7.6

0.80

980.024

175,000

1988

698.25

54

50

Boeing 777-F

Freighter

102

9070

8.1

0.84

1029.0252

290,000

2009

1157.10

102

Boeing 787-3F

Freighter

56

4750

8.4

0.84

1029.0252

150,000

2013

598.50

56

Airbus A300-600F

Freighter

64

4850

7.2

0.78

955.5234

169,000

1985

674.31

64

Airbus A300-600ST

Freighter

64

5050

7.3

0.80

980.024

190,000

1995

758.10

Airbus A310-200F

Freighter

42

5550

7.2

0.80

980.024

110,000

1983

438.90

Airbus A310-300F

Freighter

42

7330

7.4

0.80

980.024

120,000

1987

478.80

64 42 42

Airbus A330-200F

Freighter

70

7400

8.4

0.82

1004.5246

192,000

2009

766.08

Airbus A350-900F

Freighter

78

9250

9.1

0.85

1041.2755

259,000

2014

1033.41

78

Airbus A380F

Freighter

140

10400

8.8

0.89

1090.2767

382,000

2008

1524.18

140

DC-8-70F

Freighter

35

5820

7.0

0.73

894.2719

96,000

1977

383.04

35

DC-9-32F

Freighter

17

2475

6.2

0.65

796.2695

39,000

1967

155.61

DC-10-30F

Freighter

69

7435

6.3

0.82

1004.5246

160,000

1971

638.40

MD-11-11F

Freighter

71

7320

7.2

0.82

1004.5246

201,000

1990

801.99

70

17 69 71

Antonov AN-24

Freighter

10

2761

4.3

0.37

453.2611

20,000

1962

79.80

Antonov AN-70

Freighter

34

5000

5.8

0.61

747.2683

71,000

1994

283.29

34

Antonov AN-225

Freighter

230

4000

5.9

0.65

796.2695

420,000

1989

1675.80

230

10

Ilyushin il-76

Freighter

40

4300

5.2

0.65

796.2695

125,000

1974

498.75

40

Ilyushin il-96T

Freighter

71

5000

6.4

0.78

955.5234

184,000

1998

734.16

71

Tupolev Tu-204-100C

Freighter

1990

207.48

27

Average

27

3300

5.9

0.73

894.2719

52,000

61.2

5550.03

7.24

0.75

923.67

155942.86

622.21

Deprication/Ton of Cargo Carried in a Turn

Maxium Profit

Profit/Tons

Ref1 (Score a Mark = Good* Capacity*) [See AO1] 1960s|1970s|1980s|1990s|2000s|2010s|2020s

Ref2 (score a mark = good range) 1960s|1970s|1980s|1990s|2000s|2010s|2020s

Ref3

Macroscopic Rating

Mean Macroscopic Rating (MMS)

SIN-HKG

First Class Seat

Start date

1961.01

Distance

2594Km 1611Mi

Business Class Seat 12 Seats 55"

End date

A/C

Boeing 707-120 1963.01

Schedule

Routes

15/Week

Economy Class Seat 120 Seats 33"

Duration

24 Months (2 Years)

Upgraded

No

Total Seats

Speed

992.2743 km/h

Date

Profit/Loss

No Seat

132 Seats

Fuel

Passengers

Year

Month

Net Profit

Route Profit

Expense

Price/Barrel

Expense

1961

1

1308

2495

1187

257.4

196

100

7920

1961

2

1309

2495

1186

255.7

195

100

7920

1961

3

1316

2495

1179

246.3

188

100

7920

1961

4

1317

2495

1178

245.1

187

100

7920

1961

5

1167

2495

1328

261.0

199

100

7920

1961

6

1166

2495

1329

272.3

200

100

7920

1961

7

1169

2495

1326

258.4

197

100

7920

1961

8

1166

2495

1329

262.2

200

100

7920

1961

9

1161

2495

1334

268.8

205

100

7920

1961

10

1162

2495

1333

267.5

204

100

7920

1961

11

1165

2495

1330

263.4

201

100

7920

1961

12

1176

2495

1319

249.5

190

100

7920

1962

1

2397

2764.8

367.8

368.1

?

100

5400

1962

2

2397

2764.8

367.8

316.0

?

100

5400

1962

3

1962

4

1962

5

1962

6

1962

7

Schedules of flights more than 10000km or less than 4000

1962

8

I think i will just manually figure out schedules by opening routes

1962

9

1962

10

1962

11

1962

12

Occupancy

0

I cant seem to figure out formulas for

yes, if you are free you can check our AT Experiment wikia. Thanks a lot. Btw you seemed to have left AT wiki? in fact i too left but i remained in Air Tycoon Experiment Wiki

Tu-104

Routes

1974.1

Distance

2105km

Business Class Seat

-

End date

-

Schedule

15/Week

Economy Class Seat

90

Duration

-

Upgraded

No

Total Seats

90

Speed Date

2 3 4 5 1960

6 7 8 9 10 11 12 1 2 3 4 5

1961

VCE-DME

First Class Seat

6 7 8 9 10 11 12

Net Profit

Route Profit

-

814.968km/h

Profit/Loss 1

I dont know how to calculate Fuel expense Revenue stays same regardless of the expense

Start date

Month

i belive expeses which are not constant arent included into revenue

Also, it seems fuel is not included into the revenue from flight

A/C

Year

Total

Fuel Expense

Price/Barrel

Passengers Expense

Occupancy

Total

Fuel Expense

Rate of AIrcraft Crashing

Leasing Example

Maximum Capacity

Range (km)

Fuel Efficiency

Cruise Speed (mach)

Price (K)

B707-120

179

5200

6.2

0.81

69000

TIme Span 1960

Deprication (K) 1994

275.31

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