Average Points per Game

Do you love statistics? I do. Here is a list of matches completed thus far and how many points, on average, the games yielded for the contestants. In theory the more points gained the more predictable the match outcome. Check further below for a statistical analysis of the final round predictions.

If you wish here are these stats from the 2002 World Cup.



Brazil           v Australia         2-0    4.09
England          v Trinidad&Tobago   2-0    4.09
Togo             v France            0-2    3.88
Spain            v Tunisia           3-1    3.76
Portugal         v Iran              2-0    3.71
Paraguay         v Trinidad&Tobago   2-0    3.69
Saudi Arabia     v Spain             0-1    3.65
Angola           v Portugal          0-1    3.63
Argentina        v Ivory Coast       2-1    3.52
Togo             v Switzerland       0-2    3.48
Saudi Arabia     v Ukraine           0-4    3.46
Japan            v Brazil            1-4    3.43
Brazil           v Croatia           1-0    3.42
England          v Paraguay          1-0    3.38
Ecuador          v Germany           0-3    3.36
Netherlands      v Ivory Coast       2-1    3.34
Serbia&Montenegrov Netherlands       0-1    3.30
Italy            v Ghana             2-0    3.28
Germany          v Costa Rica        4-2    3.27
South Korea      v Togo              2-1    3.10
Sweden           v England           2-2    2.99
Ukraine          v Tunisia           1-0    2.91
Mexico           v Iran              3-1    2.88
Argentina        v Serbia&Montenegro 6-0    2.72
Germany          v Poland            1-0    2.66
Costa Rica       v Poland            1-2    2.64
United States    v Czech Republic    0-3    2.62
Sweden           v Paraguay          1-0    2.47
Netherlands      v Argentina         0-0    2.40
Portugal         v Mexico            2-1    2.22
Japan            v Croatia           0-0    1.94
Croatia          v Australia         2-2    1.90
Spain            v Ukraine           4-0    1.89
Australia        v Japan             3-1    1.89
Switzerland      v South Korea       2-0    1.71
Iran             v Angola            1-1    1.66
Italy            v United States     1-1    1.66
Ivory Coast      v Serbia&Montenegro 3-2    1.65
Ecuador          v Costa Rica        3-0    1.57
Tunisia          v Saudi Arabia      2-2    1.54
Czech Republic   v Italy             0-2    1.51
France           v Switzerland       0-0    1.48
Ghana            v United States     2-1    1.27
France           v South Korea       1-1    1.24
Mexico           v Angola            0-0    0.94
Trinidad&Tobago  v Sweden            0-0    0.83
Czech Republic   v Ghana             0-2    0.36


Variation in Final Round placings

The Spearman Formula looks a little like this 6 * sum (differences)^2 x = 1 - ------------------------ n x [n x n - 1] n is the number of teams in this instance, ie 32, so the denominator in this case is 32736. differences refers to the difference in your predictions for a particular team to the actual outcome. (ie You say Brazil finish 5th, they finished 1st, difference is 4) The maximum value of this is 1 (you were exactly right in each instance) and the theoretical minimum value is -1. I say theoretical because I can't quite see how you might achieve it, suffice to say you'd have to suck to get that low. Infact any value under zero suggests you'd have been better off picking randomly. Sorry to those in that category. Philipp Lucas 0.460411 Thomas Esamie 0.446847 John Blakeley 0.438050 Chookmeister 0.411657 Anders Carlsson 0.386730 Jussi Uosukainen 0.385997 Luiz Mello 0.381965 Nick G 0.379765 Adrian Kelly 0.359238 Ruud 0.358871 Scott Bodiker 0.354839 7h@ch 0.342009 Jimmy Trajcevski 0.338343 Michael Botzet 0.337610 Brian Dixon 0.337243 Daniele Paserman 0.337243 Victoria Barrett 0.336144 Karel Stokkermans 0.335411 Paul Valin 0.329545 Lleo 0.325513 GustavMarie Jahoda 0.321114 Shaun Traves 0.320748 Fruitloops 0709 0.315616 Tom Wilson 0.313416 Eirran 0.311950 Galeno 0.310484 Jim Riley 0.305718 Filip Kosjenac 0.303886 Canada 83 0.296554 Damien Dubrowin 0.290689 Asterix 0.283724 Peter Boone 0.283724 Miguel Tel 0.278959 Alex Mangovsky 0.271628 Andrew Phillips 0.271261 pasoccerdave 0.259897 Simone Fankhauser 0.256598 Bratwurst FC 0.255865 JP Caillault 0.251466 Stephen Halchuk 0.251466 Ariel Mazzarelli 0.250733 Jezzalankavic 0.247067 Anthony Waller 0.241935 Colin MacKinnon 0.238270 Gustaaf vanMoorsel 0.229472 SHUSSBAR 0.226540 Dat 0.219208 Glen Thompson 0.215176 Peter Kundmueller 0.215176 Renato Guadagnolo 0.211144 Katie Collins 0.210777 Gary Semple 0.208944 Uwe Schiereck 0.203079 Stefan Kahrs 0.201246 Jims NotSoHotspurs 0.200880 OBELIX 0.195015 Hannes Botzet 0.194648 Vardan Harouthunian 0.192082 Simon Templar 0.190616 Stephen Davies 0.184018 Jesus Petry 0.175953 Ulrich Preuss 0.171554 Juergen Bethke 0.168622 Bogongs 0.167889 Jman 0.161657 Marco Munnink 0.158358 Michael Hill 0.157625 Stoffer 0.154692 VB06 GN 0.152126 HAG 0.146994 Chris Horymski 0.138930 Junior Barranquilla 0.126466 juan vazquez 0.122801 John Knapp 0.119501 Poa Trivialis 0.117302 Janne Haikonen 0.109237 Andreas Botzet 0.095308 Andy Bob 0.089809 hanselmann 0.083944 Ralf Minkenberg 0.076979 Brad Paden 0.066349 Michael Hynes 0.046188 Brasilfan inDallas 0.016862 Walter GarciaFontes 0.007698 Iris Foerster -0.000367 john binder -0.002199 Keith Bundy -0.066715 Annika Foerster -0.081012 Schrecky Steve -0.347874