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Total Bollocks if you ask me, Shorey had a very good season but labours in 396th position, meaning in the premiership this season he was the 8th worst player...

 

So here you have it. Every Premiership player’s season, ranked. How did Fink Tank do it? We used a multivariate Poisson log-normal model. I hope you find that information helpful.

 

Dr Ian Graham and Dr Henry Stott used the model to allow us to identify the relationship between goals scored and every kick of the ball made by every player for every club. Once this was done, they simulated the league season over and over again, removing players one by one and replacing them with an average player in his position.

 

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The essential Premiership stats at a glance

This allowed them to see whether a player added or subtracted points from his team compared to an average replacement. The best player this season would be the one who added the most points.

 

But this process did not yield us the player of the year automatically. There were a couple of dilemmas to overcome.

 

The first was whether to take into account periods out with injury or not being played. Robbie Keane, for instance, is a fabulous player, but for one reason or another he spent only 47 per cent of the season’s playing time on the pitch for Tottenham Hotspur. Should we just ignore this?

 

We decided not to. Players were penalised for being out of the team. We multiplied the points added in our simulation by the proportion of time on the pitch. This produces one controversial feature of our ranking. If a player adds points compared to the average, they rise up the table the more they play. But if they subtract points, then the more they play the lower they are in the rankings. We take the view that they are making their team worse the more they play.

 

The other dilemma was more complicated. Gilberto Silva added more points to Arsenal than any player did to any team in England. Should he be the player of the year? The case for him is simply his importance to his team. But the case against him is that he was boosted by the fact that there were fewer impressive Arsenal players during this campaign for him to share the points with. A Manchester United player might have been better but had to split his contribution with four of five other stars.

 

So we hit on another way of calculating the player of the year. We looked at how many points a player would add to an average team, giving us an even playing field. This is not the perfect solution – Wayne Rooney may score more than a Sheffield United player simply because of the quality of Manchester United’s passing – but we thought that it was fair.

 

So what was the outcome? Here are a few headline points. Cristiano Ronaldo deserved to be crowned player of the year. The data confirms that judgment.

 

Also, Frank Lampard is fabulous. The common view is that Steven Gerrard is better than Lampard. Well, we cannot pass comment on basic skills. We are ranking the contributions made by players this season, not ranking abstract talent. Perhaps Liverpool do not let him breathe. Or something. But Fink Tank is absolutely clear that the free-scoring, great-passing Lampard is a towering figure. And Gerrard? He came 80th.

 

Finally, England and Tottenham have a goalkeeping problem. We rank 403 players and Paul Robinson came 402nd.

 

Now feel free to roam our rankings yourself.

 

HOW IT WORKS

 

The Fink Tank Predictor provides forecasts and ranking systems for English and European club football, based on a statistical model of matches based on more than five years of football scores.

 

In looking at player rankings for this season, the phrase “time-adjusted points” means the number of points the player would have added to an average team in the full season, compared with an average replacement. The points are then adjusted to reflect the amount of time spent on the pitch – minimum 400 minutes.

 

THE TOP 10

 

KEY: Player, club, position, pitch time, time-adjusted points

 

1 C Ronaldo Manchester United Midfield 85.12% 19.12

 

Voted player of the year by his fellow professionals and by football writers, the 22-year-old Portugal winger is our man of the season as well

 

2 F Lampard Chelsea M 97.31% 16.24

 

An ordinary season for Lampard? The statistics say otherwise

 

3 Gilberto Arsenal M 88.14% 16.01 P

 

Ten league goals was a remarkable return for the midfield man

 

4 Cech Chelsea G 50.15% 14.41

 

Chelsea missed their ’keeper desperately when he was injured

 

5 J Lehmann Arsenal G 97.30% 13.94

 

He may be 37 but the German is still among the league’s elite

 

6 P Scholes Man Utd M 79.10% 13.50

 

Enjoyed spectacular return to form after last season’s eye injury

 

7 T Howard Everton G 94.59% 12.96

 

Failed to make the grade at Old Trafford but a Goodison star

 

8 N Vidic Man Utd D 66.11% 10.48

 

The centre back was rock-solid in his first full season in England

 

9 B McCarthy Blackburn F 88.98% 9.91

 

Eighteen goals in 36 starts proves McCarthy is a lethal predator

 

10 A Hleb Arsenal M 68.14% 9.87

 

Not as flashy as some of his teammates, but highly effective

 

 

 

The full list follows:-

Manchester United

 

1 Cristiano Ronaldo M 85.12% 19.12

 

6 Paul Scholes M 79.10% 13.50

 

8 Nemanja Vidic D 66.11% 10.48

 

11 Rio Ferdinand D 90.28% 9.37

 

12 Wayne Rooney F 87.13% 9.20

 

29 Louis Saha F 50.31% 6.55

 

30 Edwin van der Sar G 85.99% 6.48

 

53 Michael Carrick M 75.00% 4.63

 

59 Ryan Giggs M 70.37% 4.20

 

63 Darren Fletcher M 38.46% 3.92

 

86 Park Ji Sung M 23.83% 2.85

 

91 Patrice Evra D 55.68% 2.69

 

93 Mikaël Silvestre D 18.70% 2.48

 

102 Ole Gunnar Solskjaer F 22.81% 2.27

 

112 John O’Shea D 47.53% 1.79

 

133 Wes Brown D 43.83% 1.38

 

169 Gary Neville D 61.08% 0.30

 

178 Gabriel Heinze D 41.60% -0.03

 

198 Henrik Larsson F 14.20% -0.49

 

212 Kieran Richardson M 18.43% -0.75

 

 

 

Chelsea

 

2 Frank Lampard M 97.31% 16.24

 

4 Petr Cech G 50.15% 14.41

 

15 Ricardo Carvalho D 81.45% 8.52

 

16 Michael Essien M 88.89% 8.50

 

19 Didier Drogba F 88.09% 8.14

 

23 John Terry D 68.95% 7.78

 

45 Salomon Kalou F 54.41% 5.06

 

65 Michael Ballack M 62.19% 3.84

 

73 Andriy Shevchenko F 55.80% 3.47

 

79 Ashley Cole D 57.07% 3.18

 

100 John Obi Mikel M 25.49% 2.31

 

117 Claude Makelele M 67.62% 1.71

 

127 Arjen Robben F 41.64% 1.51

 

129 Khalid Boulahrouz D 22.47% 1.43

 

142 Carlo Cudicini G 19.26% 1.20

 

149 Shaun Wright-Phillips M 33.40% 0.97

 

188 Wayne Bridge D 42.22% -0.27

 

195 Lassana Diarra M 14.48% -0.45

 

205 Paulo Ferreira D 47.16% -0.62

 

276 Hilário G 30.56% -2.06

 

290 Gérémi M 35.74% -2.47

 

 

 

Liverpool

 

17 José Manuel Reina G 94.56% 8.47

 

31 Dirk Kuyt F 74.74% 6.47

 

41 Sami Hyypia D 61.02% 5.33

 

43 Xabi Alonso M 78.98% 5.11

 

61 Craig Bellamy F 57.57% 4.10

 

67 Jamie Carragher D 86.85% 3.73

 

75 Daniel Agger D 62.22% 3.34

 

80 Steven Gerrard M 89.85% 3.12

 

96 Peter Crouch F 45.44% 2.39

 

103 Luis GarcÍa M 30.03% 2.24

 

113 Steve Finnan D 84.05% 1.77

 

121 Robbie Fowler F 15.29% 1.63

 

138 Boudewijn Zenden M 22.70% 1.28

 

144 Fabio Aurélio D 30.48% 1.16

 

145 John Arne Riise M 74.44% 1.16

 

153 Mohamed Sissoko M 36.79% 0.83

 

166 Stephen Warnock D 31.26% 0.38

 

173 Álvaro Arbeloa D 19.31% 0.17

 

192 Javier Mascherano M 22.88% -0.39

 

193 Jermaine Pennant M 59.10% -0.41

 

249 Mark González D 36.49% -1.52

 

 

 

Arsenal

 

3 Gilberto Silva M 88.14% 16.01

 

5 Jens Lehmann G 97.30% 13.94

 

10 Alexander Hleb M 68.14% 9.87

 

13 Cesc Fábregas M 92.88% 9.19

 

36 Kolo Touré D 91.89% 5.73

 

38 William Gallas D 56.49% 5.63

 

39 Thierry Henry F 44.29% 5.48

 

44 Johan Djourou D 43.51% 5.07

 

47 Robin van Persie F 43.84% 5.01

 

48 Emmanuel Adebayor F 59.64% 4.90

 

51 Júlio Baptista F 31.35% 4.71

 

57 Gaël Clichy D 67.84% 4.26

 

97 Tomas Rosicky M 55.20% 2.39

 

104 Abou Diaby M 19.61% 2.15

 

110 Emmanuel Eboué D 59.22% 1.93

 

120 Justin Hoyte D 42.49% 1.66

 

128 Mathieu Flamini M 28.77% 1.44

 

150 Philippe Senderos D 21.50% 0.96

 

203 Theo Walcott F 19.28% -0.58

 

218 Fredrik Ljungberg M 36.07% -0.86

 

 

 

Tottenham Hotspur

 

18 Robbie Keane F 47.53% 8.19

 

22 Dimitar Berbatov F 78.27% 7.97

 

28 Jermaine Jenas M 63.98% 6.63

 

49 Michael Dawson D 95.77% 4.89

 

50 Calum Davenport D 38.24% 4.86

 

54 Jermain Defoe F 56.57% 4.61

 

60 Ledley King D 52.50% 4.13

 

66 Aaron Lennon M 55.93% 3.80

 

92 Hossam Ghaly M 42.19% 2.67

 

106 Ricardo Rocha D 23.64% 2.11

 

114 Danny Murphy M 17.84% 1.76

 

137 Steed Malbranque M 47.78% 1.31

 

148 Teemu Tainio M 40.74% 1.06

 

171 Pascal Chimbonda D 84.85% 0.26

 

189 Edgar Davids M 15.86% -0.28

 

196 Benoît Assou-Ekotto D 43.06% -0.46

 

221 Lee Young Pyo D 54.51% -0.96

 

233 Tom Huddlestone D 46.45% -1.24

 

258 Didier Zokora M 65.62% -1.69

 

292 Mido F 20.06% -2.57

 

402 Paul Robinson G 100% -12.03

 

Everton

 

7 Tim Howard G 94.59% 12.96

 

25 Mikel Arteta M 91.50% 7.08

 

70 Joleon Lescott D 96.91% 3.61

 

72 Alan Stubbs D 57.30% 3.47

 

85 Joseph Yobo D 100% 2.86

 

152 Andrew Johnson F 81.59% 0.89

 

179 Manuel Fernandes M 37.03% -0.04

 

223 James McFadden F 22.88% -1.05

 

230 Gary Naysmith D 28.41% -1.14

 

231 Nuno Valente D 26.88% -1.19

 

238 Simon Davies M 67.78% -1.31

 

244 Victor Anichebe F 18.41% -1.40

 

259 Tim Cahill M 42.34% -1.70

 

269 Leon Osman M 81.65% -1.97

 

295 James Vaughan F 17.45% -2.65

 

300 Tony Hibbert D 27.72% -2.81

 

339 Lee Carsley M 98.74% -4.11

 

369 James Beattie F 43.48% -5.87

 

397 Phil Neville D 90.78% -11.15

 

Bolton Wanderers

 

64 Abdoulaye Meïté D 91.23% 3.92

 

134 Abdoulaye Faye M 73.00% 1.38

 

146 Nicolas Anelka F 89.16% 1.15

 

170 Idan Tal M 14.23% 0.27

 

242 Ricardo Vaz Té F 18.11% -1.38

 

265 David Thompson M 21.74% -1.87

 

267 Andranik Teymourian M 24.62% -1.90

 

283 Henrik Pedersen F 27.60% -2.31

 

288 Gary Speed M 96.40% -2.43

 

301 Stelios Giannakopoulos M 27.93% -2.83

 

348 Iván Campo M 82.52% -4.79

 

355 Ricardo Gardner D 34.32% -5.07

 

366 Tal Ben Haim D 77.96% -5.57

 

375 Kevin Nolan M 78.20% -6.43

 

383 Jussi Jaaskelainen G 100% -7.44

 

398 Nicky Hunt D 78.98% -11.29

 

399 El-Hadji Diouf F 80.72% -11.59

 

403 Kevin Davies F 73.24% -14.08

 

 

 

Reading

 

26 Marcus Hahnemann G 98.65% 7.07

 

34 Ivar Ingimarsson D 100% 6.14

 

68 Ibrahima Sonko D 57.93% 3.69

 

84 Steve Sidwell M 92.91% 2.95

 

151 Michael Duberry D 17.57% 0.95

 

160 Leroy Lita F 59.34% 0.54

 

167 John Oster M 24.53% 0.36

 

177 André Bikey D 24.86% -0.01

 

191 Kevin Doyle F 71.41% -0.38

 

237 Ulises De La Cruz D 19.79% -1.31

 

246 Shane Long F 22.52% -1.47

 

254 Glen Little M 47.99% -1.63

 

256 Bobby Convey M 18.53% -1.63

 

270 Dave Kitson F 24.08% -1.97

 

289 Brynjar Gunnarsson M 31.89% -2.46

 

302 Stephen Hunt M 71.02% -2.86

 

365 James Harper M 93.48% -5.53

 

367 Seol Ki Hyeon M 52.07% -5.67

 

390 Graeme Murty D 59.58% -9.68

 

396 Nicky Shorey D 97.30% -11.14

 

 

 

Portsmouth

 

20 Linvoy Primus D 91.74% 8.08

 

24 Kanu F 79.28% 7.67

 

55 Sol Campbell D 86.49% 4.50

 

62 Niko Kranjcar M 35.71% 3.93

 

74 Benjamin Mwaruwari F 59.85% 3.43

 

82 David James G 100% 3.07

 

119 Andrew Cole F 20.09% 1.68

 

122 Lomana LuaLua F 27.03% 1.60

 

176 Noé Pamarot D 51.62% 0.13

 

179 Manuel Fernandes M 37.03% -0.04

 

194 Djimi Traoré D 45.53% -0.42

 

250 Pedro Mendes M 61.86% -1.54

 

265 David Thompson M 21.74% -1.87

 

277 Richard Hughes M 28.83% -2.11

 

284 Lauren D 24.02% -2.31

 

285 Dejan Stefanovic D 51.17% -2.36

 

316 Sean Davis M 73.03% -3.20

 

353 Glen Johnson D 65.05% -4.85

 

362 Matthew Taylor D 80.69% -5.42

 

377 Gary O’Neil M 90.60% -6.61

 

Blackburn Rovers

 

9 Benni McCarthy F 88.98% 9.91

 

14 Brad Friedel G 98.61% 9.06

 

27 Shabani Nonda F 45.93% 6.99

 

81 Ryan Nelsen D 27.78% 3.11

 

95 Christopher Samba D 29.51% 2.44

 

99 Jason Roberts F 28.92% 2.33

 

126 Matt Derbyshire F 22.87% 1.52

 

131 André Ooijer D 52.90% 1.38

 

163 Zurab Khizanishvili D 48.40% 0.48

 

185 Stéphane Henchoz D 25.52% -0.19

 

200 Tugay Kerimoglu M 63.49% -0.53

 

206 Andy Todd D 18.83% -0.64

 

235 Brett Emerton M 84.88% -1.27

 

287 David Dunn M 17.59% -2.37

 

321 Lucas Neill D 80.56% -3.33

 

327 Michael Gray D 26.73% -3.46

 

340 Aaron Mokoena D 46.79% -4.24

 

343 Robbie Savage M 56.82% -4.36

 

368 Morten Gamst Pedersen M 90.37% -5.76

 

401 David Bentley F 89.35% -11.82

 

Aston Villa

 

32 Thomas Sorensen G 75.05% 6.40

 

89 Martin Laursen D 28.92% 2.75

 

90 Gary Cahill D 52.37% 2.70

 

105 Liam Ridgewell D 52.97% 2.13

 

108 Patrik Berger M 14.56% 2.07

 

118 Stiliyan Petrov M 79.10% 1.70

 

123 Gareth Barry D 90.96% 1.60

 

164 Luke Moore F 18.62% 0.39

 

199 John Carew F 24.53% -0.50

 

224 Olof Mellberg D 98.62% -1.06

 

226 Gabriel Agbonlahor F 97.24% -1.11

 

227 Craig Gardner M 26.49% -1.12

 

234 Isaiah Osbourne M 19.37% -1.24

 

268 Chris Sutton F 17.75% -1.91

 

272 Milan Baros F 26.22% -2.02

 

275 Steven Davis M 49.01% -2.05

 

296 Juan Pablo Ángel F 45.02% -2.70

 

310 Gavin McCann M 72.70% -2.99

 

315 Aaron Hughes D 36.07% -3.08

 

333 Phil Bardsley D 34.41% -3.72

 

341 Wilfred Bouma D 57.00% -4.26

 

386 Ashley Young F 80.78% -8.01

 

Middlesbrough

 

33 Mark Viduka F 59.85% 6.29

 

56 Yakubu Ayegbeni F 94.50% 4.27

 

71 Emanuel Pogatetz D 87.48% 3.55

 

83 Robert Huth D 23.87% 3.05

 

98 James Morrison M 45.05% 2.37

 

109 Jonathan Woodgate D 75.32% 1.95

 

116 Abel Xavier D 37.75% 1.73

 

147 Julio Arca M 43.54% 1.12

 

157 Mark Schwarzer G 94.56% 0.65

 

158 Fábio Rochemback M 43.60% 0.60

 

190 Chris Riggott D 14.62% -0.31

 

243 Jason Euell F 23.78% -1.39

 

303 George Boateng M 88.83% -2.87

 

317 Stuart Parnaby M 25.62% -3.24

 

346 Lee Cattermole M 59.01% -4.78

 

360 Stewart Downing M 88.53% -5.25

 

363 Andrew Davies D 54.38% -5.45

 

384 Andrew Taylor D 89.07% -7.60

 

 

 

Newcastle United

 

35 Obafemi Martins F 85.14% 6.00

 

46 Kieron Dyer M 48.02% 5.03

 

115 Shola Ameobi F 20.84% 1.73

 

139 Steven Taylor D 68.92% 1.28

 

159 Oguchi Onyewu D 21.38% 0.54

 

168 Antoine Sibierski M 43.57% 0.34

 

175 Damien Duff M 51.95% 0.16

 

183 Craig Moore D 42.28% -0.17

 

197 Emre Belözoglu M 54.77% -0.49

 

208 Peter Ramage D 48.56% -0.68

 

215 Scott Parker M 72.82% -0.79

 

228 James Milner M 77.81% -1.12

 

239 Paul Huntington D 27.06% -1.32

 

248 Charles N’Zogbia M 33.66% -1.50

 

261 Steve Harper G 43.24% -1.73

 

262 Celestine Babayaro D 31.08% -1.73

 

264 Shay Given G 53.96% -1.87

 

297 Titus Bramble D 44.89% -2.73

 

318 Nolberto Solano M 61.80% -3.27

 

352 Stephen Carr D 59.04% -4.84 358

 

Nicky Butt M 67.03% -5.20

 

 

 

Manchester City

 

21 Sylvain Distin D 97.27% 8.03

 

88 Richard Dunne D 99.97% 2.82

 

111 DaMarcus Beasley M 28.47% 1.82

 

156 Georgios Samaras F 50.69% 0.68

 

165 Michael Johnson M 24.32% 0.38

 

201 Claudio Reyna M 28.83% -0.55

 

207 Emile Mpenza F 22.10% -0.66

 

209 Nedum Onuoha D 36.76% -0.72

 

211 Micah Richards D 70.45% -0.74

 

219 Bernardo Corradi F 47.48% -0.92

 

240 Stephen Jordan D 28.53% -1.34

 

252 Michael Ball D 32.28% -1.60

 

274 Dietmar Hamann M 27.66% -2.05

 

278 Paul Dickov F 24.50% -2.14

 

298 Ousmane Dabo M 26.37% -2.78

 

304 Joey Barton M 89.04% -2.87

 

308 Nicky Weaver G 64.59% -2.95

 

311 Sun Jihai D 27.30% -3.01

 

313 Hatem Trabelsi M 41.14% -3.04

 

323 Stephen Ireland M 37.48% -3.36

 

334 Trevor Sinclair M 38.68% -3.73

 

337 Andreas Isaksson G 32.67% -4.05 350

 

Ben Thatcher D 53.42% -4.82

 

356 Darius Vassell F 74.29% -5.10

 

West Ham United

 

42 Bobby Zamora F 63.00% 5.25

 

50 Calum Davenport D 38.24% 4.86

 

77 Anton Ferdinand D 76.97% 3.22

 

87 Carlos Tévez F 48.62% 2.85

 

124 James Collins D 38.20% 1.56

 

135 Daniel Gabbidon D 46.76% 1.36

 

136 Yossi Benayoun M 65.59% 1.35

 

172 Mark Noble M 22.46% 0.24

 

186 Hayden Mullins M 61.86% -0.21

 

187 Teddy Sheringham F 18.20% -0.23

 

217 Christian Dailly D 29.73% -0.84

 

232 Robert Green G 67.57% -1.24

 

247 George McCartney D 42.67% -1.48

 

257 Carlton Cole F 16.10% -1.67

 

260 Nigel Quashie M 18.32% -1.72

 

293 LuÍs Boa Morte F 53.45% -2.61

 

306 Lee Bowyer M 43.15% -2.90

 

321 Lucas Neill D 80.56% -3.33

 

325 Roy Carroll G 32.43% -3.39

 

326 Marlon Harewood F 51.74% -3.44

 

370 Jonathan Spector D 51.65% -5.92

 

373 Nigel Reo-Coker M 90.06% -6.27

 

379 Paul Konchesky D 59.04% -6.67

 

389 Matthew Etherington M 60.81% -8.64

 

Fulham

 

40 Carlos Bocanegra D 67.18% 5.38

 

76 Ian Pearce D 55.29% 3.25

 

140 Claus Jensen M 27.42% 1.26

 

143 Zat Knight D 58.26% 1.18

 

154 Philippe Christanval D 49.43% 0.74

 

180 Alexei Smertin M 16.01% -0.07

 

184 Papa Bouba Diop M 51.17% -0.18

 

245 Collins John F 26.46% -1.43

 

251 Wayne Routledge M 42.43% -1.55

 

293 LuÍs Boa Morte F 53.45% -2.61

 

328 Heidar Helguson F 42.04% -3.48

 

329 Jan Lastuvka G 19.76% -3.51

 

331 Moritz Volz D 58.56% -3.54

 

238 Simon Davies M 67.78% -1.31

 

344 Antti Niemi G 80.21% -4.42

 

354 Franck Queudrue D 74.32% -5.05

 

372 Tomasz Radzinski M 64.59% -6.09

 

374 Brian McBride F 84.68% -6.33

 

376 Michael Brown M 88.14% -6.44

 

385 Liam Rosenior D 99.31% -7.63

 

Wigan Athletic

 

107 Henri Camara F 48.47% 2.09

 

141 Matt Jackson D 45.89% 1.20

 

155 Arjan de Zeeuw D 52.10% 0.69

 

222 Gary Teale M 16.16% -0.97

 

236 David Wright D 20.30% -1.30

 

281 Caleb Folan F 20.36% -2.30

 

286 Fitz Hall D 54.74% -2.37

 

291 Ryan Taylor D 32.07% -2.56

 

299 Luis Antonio Valencia M 38.53% -2.78

 

305 Denny Landzaat M 73.48% -2.89

 

309 Paul Scharner M 58.89% -2.95

 

312 David Cotterill F 19.25% -3.02

 

320 David Unsworth D 28.83% -3.33

 

322 Emile Heskey F 78.38% -3.33

 

332 Emmerson Boyce D 88.08% -3.65

 

336 Chris Kirkland G 68.92% -4.05

 

338 John Filan G 27.03% -4.06

 

345 Josip Skoko M 62.76% -4.57

 

349 Lee McCulloch F 67.30% -4.81

 

378 Kevin Kilbane M 70.84% -6.67

 

393 Leighton Baines D 90.87% -9.85

 

Sheffield United

 

69 Chris Morgan D 58.29% 3.62

 

78 Claude Davis D 44.56% 3.21

 

101 Colin Kazim-Richards M 43.96% 2.30

 

125 Jonathan Stead F 29.25% 1.54

 

130 Phil Jagielka M 99.97% 1.39

 

132 Chris Lucketti D 19.88% 1.38

 

181 Danny Webber F 33.33% -0.09

 

210 Christian Nadé F 26.01% -0.73

 

214 Steve Kabba F 21.89% -0.77

 

216 Leigh Bromby D 34.14% -0.83

 

229 Alan Quinn M 29.10% -1.13

 

241 Stephen Quinn M 34.65% -1.37

 

266 Robert Hulse F 73.69% -1.89

 

320 David Unsworth D 28.83% -3.33

 

330 Michael Tonge M 57.66% -3.52

 

342 Mikele Leigertwood M 42.40% -4.33

 

351 Robert Kozluk D 44.68% -4.82

 

357 Derek Geary D 63.96% -5.18

 

371 Nick Montgomery M 57.39% -5.93

 

380 Keith Gillespie M 68.83% -6.69

 

381 Paddy Kenny G 88.35% -7.16

 

387 Chris Armstrong D 66.37% -8.25

 

Charlton Athletic

 

37 Souleymane Diawara D 49.52% 5.64

 

52 Darren Bent F 83.36% 4.67

 

58 Talal El Karkouri D 97.27% 4.26

 

174 Hermann Hreidarsson D 75.11% 0.16

 

182 Jonathan Fortune D 19.25% -0.13

 

194 Djimi Traoré D 45.53% -0.42

 

202 Andy Reid M 36.19% -0.58

 

204 Zheng Zhi M 22.49% -0.60

 

213 Jerome Thomas M 40.90% -0.77

 

225 Jimmy Floyd Hasselbaink F 32.85% -1.07

 

253 Amdy Faye M 62.67% -1.62

 

255 Darren Ambrose M 51.05% -1.63

 

273 Bryan Hughes M 43.27% -2.03

 

279 Dennis Rommedahl M 52.73% -2.26

 

280 Osei Sankofa D 22.52% -2.27

 

282 Matt Holland M 70.63% -2.30

 

294 Radostin Kishishev M 19.52% -2.63

 

307 Scott Carson G 97.30% -2.93

 

324 Alexandre Song M 28.62% -3.36

 

350 Ben Thatcher D 53.42% -4.82

 

361 Marcus Bent F 44.53% -5.34

 

382 Luke Young D 75.02% -7.16

 

 

 

Watford

 

94 Danny Shittu D 67.72% 2.45

 

161 Tamas Priskin F 22.70% 0.53

 

162 Marlon King F 30.93% 0.51

 

214 Steve Kabba F 21.89% -0.77

 

220 Malky Mackay D 35.44% -0.93

 

263 Jay DeMerit D 82.76% -1.77

 

271 James Chambers D 20.57% -1.97

 

314 Damien Francis M 73.75% -3.06

 

319 Richard Lee G 25.68% -3.30

 

335 Chris Powell D 25.74% -3.80

 

347 Adrian Mariappa D 44.05% -4.78

 

359 Lloyd Doyley D 45.98% -5.22

 

364 Alhassan Bangura M 29.76% -5.52

 

386 Ashley Young F 80.78% -8.01

 

388 Jordan Stewart M 77.81% -8.46

 

391 Ben Foster G 74.32% -9.77

 

392 Hameur Bouazza F 70.81% -9.81

 

394 Darius Henderson F 64.89% -9.87

 

395 Gavin Mahon M 88.23% -10.58

 

400 Tommy Smith F 75.68% -11.77

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

 

It seems that they've punished the players who have played more, the stats are stacked against them it seems.

Edited by The Fish
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Guest alex

According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Taylor?

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

 

The less grammatically able have found their scapegoat. Philestines. ;)

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Guest alex

Milner giving us - points despite being one of our better players by far this season?

 

's all bollocks

And providing the most assists. And Brock, you can't really use Philestines (sic) as an insult if you're going to spell it like that ;)

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Milner giving us - points despite being one of our better players by far this season?

 

's all bollocks

And providing the most assists. And Brock, you can't really use Philistines (sic) as an insult if you're going to spell it like that ;)

 

I'm a twat, so I'll spell it with an 'e' if I want. :icon_lol:

 

Brock is a twat! ;)

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Guest alex

Milner giving us - points despite being one of our better players by far this season?

 

's all bollocks

And providing the most assists. And Brock, you can't really use Philistines (sic) as an insult if you're going to spell it like that ;)

 

I'm a twat, so I'll spell it with an 'e' if I want. :icon_lol:

 

Brock is a ledge! :icon_lol:

Fixed your post ;)

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Milner giving us - points despite being one of our better players by far this season?

 

's all bollocks

And providing the most assists. And Brock, you can't really use Philistines (sic) as an insult if you're going to spell it like that ;)

 

I'm a twat, so I'll spell it with an 'e' if I want. :icon_lol:

 

Brock is a ledge! :icon_lol:

Fixed your post ;)

 

:icon_lol:

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

 

The less grammatically able have found their scapegoat. Philestines. ;)

 

Being grammatically correct is one thing; constantly pointing out others' errors is quite another.

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

 

The less grammatically able have found their scapegoat. Philestines. ;)

 

Being grammatically correct is one thing; constantly pointing out others' errors is quite another.

 

Tbf we have a few posters who don't so much make gramatical errors as ignore the entire concept of grammar altogether.

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

 

The less grammatically able have found their scapegoat. Philestines. ;)

 

Being grammatically correct is one thing; constantly pointing out others' errors is quite another.

 

Tbf we have a few posters who don't so much make gramatical errors as ignore the entire concept of grammar altogether.

 

Woe betide anyone who highlights the fact 'constantly'.

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According to this, there was a defender who,over the course of the season, played worse than Bramble...

 

 

;)

Steven Carr?

Brock is a twat!

 

The less grammatically able have found their scapegoat. Philestines. ;)

 

Being grammatically correct is one thing; constantly pointing out others' errors is quite another.

 

Tbf we have a few posters who don't so much make gramatical errors as ignore the entire concept of grammar altogether.

 

Woe betide anyone who highlights the fact 'constantly'.

 

fuck off you prick

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  • 4 years later...
No, statistics are not silly, but their users . . .

 

“Dad, when is Mummy’s new baby going to come?”

 

“Nobody knows, my love. We’ll have to see when the baby decides to come out.”

 

“But everybody talks about babies being early or late, like buses.”

 

“Buses are a little different from babies – you wait ages for a bus and then several come along at once, and that’s definitely not the aim here.”

 

“But babies can be late, like buses?”

 

“Yes, they can be late.”

 

“So if they can be late, there must also be a time when they are supposed to arrive.”

 

“That’s right. The new baby is due on the 15th of July – that’s about two weeks away.”

 

“But it might be late.”

 

“It might be late, yes. Or it might be early. But the truth is it will probably be late. You were late and so was your sister.”

 

“How can you say it will probably be late? Aren’t babies, on average, on time?”

 

“I’m not sure how you can make that claim. Buses are certainly not on time, on average. They are systematically prevented from being early but cannot help sometimes being late – so on average, they are late.”

 

“Bus timetables are different. Everybody knows the bus timetable is when the bus is supposed to arrive, not some historical record of when the bus has actually tended to arrive.”

 

“Good point. In fact, that gives me an idea. Maybe we should rewrite bus timetables based on historical data.”

 

“But Dad, don’t people want to know the earliest time at which a bus will arrive, rather than the average time?”

 

“I thought you wanted to talk about babies, my dear. By the way, did I ever tell you that you have more than the average number of arms?”

 

“But I have two arms.”

 

“Precisely. The average number of arms is less than two.”

 

“Don’t you mean fewer?”

 

“No. I don’t.”

 

“But everyone has two arms.”

 

“Not everyone has two arms. Most people do. The most common number of arms is certainly two. And more than 50 per cent of people have two arms, so the median number of arms is also two.

 

“But if you add up all the arms and divide by the number of people – which is what we tend to mean when we say “average” – you’ll find that the result is slightly less than two.”

 

“That’s silly.”

 

“No – that’s statistics.”

 

“Statistics are silly.”

 

“Statistics are not silly. But many people use them in a silly way.”

 

“They seem silly to me. So babies are a bit like arms?”

 

“A little bit. Some babies come months early, but no baby comes months late, and in any case the doctors have a tendency to get twitchy and whip the little tykes out when they’re a couple of weeks overdue.”

 

“But doesn’t that mean babies are likely to be early rather than late?”

 

“No: it means that a few babies are very early but no babies are very late. And this baby is not going to be very early, since it’s almost July and there’s been no sign of it yet.

 

“Anyway – if a few babies are very early and none are very late, then if you are trying to figure out a due date by adding up all the lengths of all these pregnancies, the very early babies will pull the average to the early side.”

 

“Is that what happens?”

 

“Yes. Here – let me consult my copy of The Tiger That Isn’t, by my friends Michael Blastland and Andrew Dilnot.”

 

“Is it a book about a tiger?”

 

“Obviously not – since the tiger isn’t.”

 

“Is it a book about babies?”

 

“No. It is a book about numbers. Due dates in the UK are calculated by adding 280 days to the date of the mother-to-be’s last period.

 

“And Blastland and Dilnot say that 280 days is indeed the average. But in fact 50 per cent of mothers wait at least 282 days. And most commonly, the baby is actually born after 283 days. In other words, the typical baby is born two or three days late.”

 

“But if the typical baby is three days late, is it really late at all?”

 

“You tell me, my love. I’m just an economist. The doctors say that it is.”

 

“Doctors are silly.”

 

“Perhaps they are, my love – at least, sometimes. But I am sure doctors would say that economists are sometimes silly, too.”

 

http://timharford.com/2011/07/no-statistic...ut-their-users/

 

:(

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