Abstract
We critically examine a number of flaws in the current procedure for the final draw of the FIFA World Cup™: imbalance (the eight groups are not of the same competitive level), unfairness (some teams have a greater chance than others of ending up in a tough group), and uneven distribution (all the possible outcomes of the draw are not equally likely). These flaws result from the way FIFA has decided to enforce the geographic constraints that they put on the draw. We explain how, by building eight pots by level organized in an S-curve, and drawing first a continental distribution of the groups and then the teams, we can enforce the geographic constraints without sacrificing balance, fairness, and even distribution. As a result, we describe a new tractable draw procedure that produces eight balanced and geographically diverse groups, is fair to all teams, and gives equally likely outcomes.
Acknowledgments
This article is dedicated to my nephews Ethan, Noam, and Robinson, and particularly to Noam who was always present in my thoughts when I wrote its first version. I thank Xavier Guyon and Julien Sneck for fruitful discussions and for their comments and questions on previous versions of this article. I also thank Sylvain Corlay, Stéphane Crapanzano, Bruno Dupire, Pierre Henry-Labordère, Romain Menegaux, and Sandrine Tobelem for their valuable feedback, and Omar El Euch for Figures 2–4. Finally, I am grateful to the Editor-in-Chief and one Associate Editor of the Journal of Quantitative Analysis of Sports, and two anonymous referees whose comments helped improve the quality of the article.
Appendix A: The suggested method is evenly distributed
Let us prove that our suggested procedure is evenly distributed, i.e., that under this procedure all the admissible outcomes are equally likely. Since Draw I and Draw II are independent, and follow the same rules, it is enough to prove that all the possible outcomes of Draw I are equally likely. Let d be an admissible outcome of Draw I and c denote its continental distribution. Let C denote the random continental distribution drawn at the first step, and D the final result of the random draw.
The first step of the procedure guarantees that
which does not depend on d: The distribution of D is uniform.
For the 2014 World Cup, the number of admissible draws would have been NI×3!×3!×3!=1296 for Draw I, and NII×3!×2!×2!=576 for Draw II, hence a total of 1296×576=746,496 possible outcomes for the entire draw. Each of those would have had probability 1/746,496.
Appendix B: Numbers of admissible continental distributions for previous World Cups
In this section we report the number of admissible continental distributions NI and NII for the 2010, 2006, 2002, and 1998 FIFA World Cups.
For the final draw of the 2010 edition, FIFA used the October 2009 FIFA ranking to seed the teams, so we use this same ranking to define the S-curve, shown in Table 5. However, for the 2006, 2002, and 1998 events, FIFA used their rankings in combination with performances of national teams in the two or three previous World Cups, resulting in the S-curves of Tables 6–8; see Wikipedia websites, and Marcuccitti (2005) for criticism. The corresponding numbers of admissible continental distributions are given in Table 9. We reported the 2014 numbers again for comparison. We consider two cases, depending on whether groups with no European teams are allowed or not. As Australia qualified to the 2006 World Cup as a member of the Oceania Football Confederation (OFC) but became a member of the Asian Football Confederation (AFC) on January 1st, 2006, we consider both possible affiliations for 2006, respectively denoted by 2006 (OFC) and 2006 (AFC). For 2014, we also show the values of NI and NII if we use the Elo ratings as of June 1, 2014 for seeding, instead of the FIFA rankings.
Pots by level for the teams which qualified to the 2010 FIFA World Cup South Africa™.
Pot 1 | Pot 4 | Pot 5 | Pot 8 |
1 South Africa (85) | 16 Mexico (18) | 17 Côte d’Ivoire (19) | 32 North Korea (91) |
2 Brazil (1) | 15 Chile (17) | 18 Serbia (20) | 31 New Zealand (83) |
3 Spain (2) | 14 Greece (16) | 19 Paraguay (21) | 30 Slovenia (49) |
4 Netherlands (3) | 13 Cameroon (14) | 20 Australia (24) | 29 South Korea (48) |
Pot 2 | Pot 3 | Pot 6 | Pot 7 |
5 Italy (4) | 12 Switzerland (13) | 21 Uruguay (25) | 28 Japan (40) |
6 Germany (5) | 11 USA (11) | 22 Denmark (27) | 27 Ghana (38) |
7 Argentina (6) | 10 Portugal (10) | 23 Algeria (29) | 26 Honduras (35) |
8 England (7) | 9 France (9) | 24 Nigeria (32) | 25 Slovakia (33) |
The number in brackets is the October 2009 FIFA ranking. The S-curve follows increasing FIFA rankings, except for the host country, which is protected and put in first position of Pot 1. The italicized number indicates the position in the S-curve, from 1 to 32.
Pots by level for the teams which qualified to the 2006 FIFA World Cup Germany™.
Pot 1 | Pot 4 | Pot 5 | Pot 8 |
1 Germany | 16 Czech Rep. | 17 Portugal | 32 Togo |
2 Brazil | 15 Paraguay | 18 Costa Rica | 31 Angola |
3 England | 14 Croatia | 19 Saudi Arabia | 30 Ghana |
4 Spain | 13 Sweden | 20 Poland | 29 Trinidad and Tobago |
Pot 2 | Pot 3 | Pot 6 | Pot 7 |
5 Mexico | 12 Japan | 21 Iran | 28 Australia |
6 France | 11 South Korea | 22 Tunisia | 27 Côte d’Ivoire |
7 Italy | 10 Netherlands | 23 Ecuador | 26 Ukraine |
8 Argentina | 9 USA | 24 Serbia and Montenegro | 25 Switzerland |
The italicized number indicates the position in the S-curve, from 1 to 32.
Pots by level for the teams which qualified to the 2002 FIFA World Cup Korea/Japan™.
Pot 1 | Pot 4 | Pot 5 | Pot 8 | Pot 8 (rebalanced) |
1 South Korea | 16 Belgium | 17 Portugal | 32 Senegal | 32 Senegal |
2 Japan | 15 USA | 18 Ireland | 31 China | 31 China |
3 Brazil | 14 Sweden | 19 Russia | 30 Ecuador | 27Slovenia |
4 Argentina | 13 Paraguay | 20 Nigeria | 29 Costa Rica | 28Poland |
Pot 2 | Pot 3 | Pot 6 | Pot 7 | Pot 7 (rebalanced) |
5 Italy | 12 Denmark | 21 Saudi Arabia | 28 Poland | 29Costa Rica |
6 Germany | 11 Croatia | 22 South Africa | 27 Slovenia | 30Ecuador |
7 France | 10 England | 23 Tunisia | 26 Uruguay | 26 Uruguay |
8 Spain | 9 Mexico | 24 Cameroon | 25 Turkey | 25 Turkey |
Note that the lower part of the S-curve has 10 European teams (out of 15). Right: Pots 7 and 8 after using the S-curve rebalancing algorithm of Section 3.4. The italicized number indicates the initial position in the S-curve, from 1 to 32.
Pots by level for the teams which qualified to the 1998 FIFA World Cup France™.
Pot 1 | Pot 4 | Pot 5 | Pot 8 | Pot 8 (rebalanced) |
1 France | 16 Norway | 17 Morocco | 32 Iran | 32 Iran |
2 Germany | 15 Denmark | 18 Cameroon | 31 Jamaica | 31 Jamaica |
3 Brazil | 14 USA | 19 Nigeria | 30 South Africa | 27Austria |
4 Italy | 13 Colombia | 20 Saudi Arabia | 29 Paraguay | 28Croatia |
Pot 2 | Pot 3 | Pot 6 | Pot 7 | Pot 7 (rebalanced) |
5 Spain | 12 Belgium | 21 Yugoslavia | 28 Croatia | 29Paraguay |
6 Argentina | 11 England | 22 South Korea | 27 Austria | 30South Africa |
7 Romania | 10 Bulgaria | 23 Scotland | 26 Chile | 26 Chile |
8 Netherlands | 9 Mexico | 24 Japan | 25 Tunisia | 25 Tunisia |
Note that the lower part of the S-curve has 10 European teams (out of 15). Right: Pots 7 and 8 after using the S-curve rebalancing algorithm of Section 3.4. The italicized number indicates the initial position in the S-curve, from 1 to 32.
Numbers of admissible continental distributions (NI and NII) for the 2014, 2010, 2006, 2002 and 1998 FIFA World Cups.
At least one European team per group | Groups with no European team are allowed | |||
---|---|---|---|---|
NI | NII | NI | NII | |
2014 | 6 | 24 | 6 | 24 |
2014 (Elo) | 60 | 108 | 60 | 108 |
2010 | 252 | 24 | 428 | 24 |
2006 (OFC) | 18 | 338 | 18 | 410 |
2006 (AFC) | 18 | 110 | 18 | 126 |
2002 | 32 | 0 | 60 | 0 |
2002 (rebalanced) | 48 | 48 | 48 | 48 |
1998 | 60 | 0 | 84 | 0 |
1998 (rebalanced) | 108 | 9 | 108 | 9 |
Our suggested procedure proves to be always tractable: The numbers of admissible continental distributions NI and NII are small, from six to a few tens or hundreds. For the 2002 and 1998 World Cups, 15 European teams were qualified, and the lower part of the S-curve was crowded by two many European teams so NII=0. Using the S-curve rebalancing algorithm described in Section 3.4 solves the problem.
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©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Research Articles
- A stochastic rank ordered logit model for rating multi-competitor games and sports
- The implied volatility of a sports game
- Modeling spatial batting ability using a known covariance matrix
- Rethinking the FIFA World Cup™ final draw
- Playing on artificial turf may be an advantage for Norwegian soccer teams
Articles in the same Issue
- Frontmatter
- Research Articles
- A stochastic rank ordered logit model for rating multi-competitor games and sports
- The implied volatility of a sports game
- Modeling spatial batting ability using a known covariance matrix
- Rethinking the FIFA World Cup™ final draw
- Playing on artificial turf may be an advantage for Norwegian soccer teams