Home Rethinking the FIFA World Cup™ final draw
Article
Licensed
Unlicensed Requires Authentication

Rethinking the FIFA World Cup™ final draw

  • Julien Guyon EMAIL logo
Published/Copyright: May 22, 2015

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.


Corresponding author: Julien Guyon, Quantitative Research, Bloomberg LP, 731 Lexington Avenue, New York, NY 10022, USA; and Department of Mathematics, Columbia University, 2990 Broadway, New York, NY 10027, USA, e-mail: ; . http://cermics.enpc.fr/guyon/home.html

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 24. 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 (C=c)=1/NI. Besides, each d corresponds to exactly one c, say c(d), and each c allows the same number of d’s, say nd. Indeed, for a given c, the set of d’s is in one-to-one correspondence with the set O4×O5×O8, where Oi denotes the product of the sets of permutations of teams per continent for Pot i. As a consequence, nd=m4m5m8 where mi=j=1Jkij! where J is the number of continents represented at the World Cup and (ki1, …, kiJ) are the numbers of teams per continent for Pot i (ki1+…+kiJ=4). Now, at the second step, Pots 8, 5, and 4 are emptied randomly, uniformly, so that the order of the kij teams from continent j drawn from Pot i is uniform over the kij! possible orders. Moreover, all these orders are independent. This ensures that

(D=d)=(C=c(d))(D=d|C=c(d))=1NI×1nd

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 68; 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.

Table 5

Pots by level for the teams which qualified to the 2010 FIFA World Cup South Africa™.

Pot 1Pot 4Pot 5Pot 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 2Pot 3Pot 6Pot 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.

Table 6

Pots by level for the teams which qualified to the 2006 FIFA World Cup Germany™.

Pot 1Pot 4Pot 5Pot 8
1 Germany16 Czech Rep.17 Portugal32 Togo
2 Brazil15 Paraguay18 Costa Rica31 Angola
3 England14 Croatia19 Saudi Arabia30 Ghana
4 Spain13 Sweden20 Poland29 Trinidad and Tobago
Pot 2Pot 3Pot 6Pot 7
5 Mexico12 Japan21 Iran28 Australia
6 France11 South Korea22 Tunisia27 Côte d’Ivoire
7 Italy10 Netherlands23 Ecuador26 Ukraine
8 Argentina9 USA24 Serbia and Montenegro25 Switzerland

The italicized number indicates the position in the S-curve, from 1 to 32.

Table 7

Pots by level for the teams which qualified to the 2002 FIFA World Cup Korea/Japan™.

Pot 1Pot 4Pot 5Pot 8Pot 8 (rebalanced)
1 South Korea16 Belgium17 Portugal32 Senegal32 Senegal
2 Japan15 USA18 Ireland31 China31 China
3 Brazil14 Sweden19 Russia30 Ecuador27Slovenia
4 Argentina13 Paraguay20 Nigeria29 Costa Rica28Poland
Pot 2Pot 3Pot 6Pot 7Pot 7 (rebalanced)
5 Italy12 Denmark21 Saudi Arabia28 Poland29Costa Rica
6 Germany11 Croatia22 South Africa27 Slovenia30Ecuador
7 France10 England23 Tunisia26 Uruguay26 Uruguay
8 Spain9 Mexico24 Cameroon25 Turkey25 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.

Table 8

Pots by level for the teams which qualified to the 1998 FIFA World Cup France™.

Pot 1Pot 4Pot 5Pot 8Pot 8 (rebalanced)
1 France16 Norway17 Morocco32 Iran32 Iran
2 Germany15 Denmark18 Cameroon31 Jamaica31 Jamaica
3 Brazil14 USA19 Nigeria30 South Africa27Austria
4 Italy13 Colombia20 Saudi Arabia29 Paraguay28Croatia
Pot 2Pot 3Pot 6Pot 7Pot 7 (rebalanced)
5 Spain12 Belgium21 Yugoslavia28 Croatia29Paraguay
6 Argentina11 England22 South Korea27 Austria30South Africa
7 Romania10 Bulgaria23 Scotland26 Chile26 Chile
8 Netherlands9 Mexico24 Japan25 Tunisia25 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.

Table 9

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 groupGroups with no European team are allowed
NINIININII
2014624624
2014 (Elo)6010860108
20102522442824
2006 (OFC)1833818410
2006 (AFC)1811018126
2002320600
2002 (rebalanced)48484848
1998600840
1998 (rebalanced)10891089

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.

References

Aisch, G. and D. Leonhardt. 2014. “Mexico, the World Cup’s Luckiest Country.” New York Times. Available at: http://www.nytimes.com/2014/06/06/upshot/mexicos-run-of-world-cup-luck-has-continued.html.Search in Google Scholar

ESPN website. “Soccer Power Index: daily update.” Available at: http://www.espnfc.com/fifa-world-cup/story/1865575/soccer-power-index-daily-update.Search in Google Scholar

FIFA. 2005. “Final Draw Procedures, 2006 FIFA World Cup Germany™.” Available at: eur.i1.yimg.com/i/eu/fifa/proce.pdf.Search in Google Scholar

FIFA. 2009. “Final Draw Procedures, 2010 FIFA World Cup South Africa™.” Available at: http://www.fifa.com/mm/document/tournament/finaldraw/01/14/22/91/fwc2010_final_draw_procedure_en_021209.pdf.Search in Google Scholar

FIFA. 2013. “Final Draw Procedures, 2014 FIFA World Cup Brazil™.” Available at: http://www.fifa.com/mm/document/tournament/finaldraw/02/23/84/73/131203_finaldrawprocedures_neutral.pdf.Search in Google Scholar

FIFA rankings. “FIFA/Coca-Cola World Ranking Procedure.” Available at: http://www.fifa.com/worldranking/procedureandschedule/menprocedure/index.html.Search in Google Scholar

Guyon, J. 2014a. “Rethinking the FIFA World Cup final draw.” Available at: ssrn.com/abstract=2424376.10.2139/ssrn.2424376Search in Google Scholar

Guyon, J. 2014b. “A Better Way to Rank Soccer Teams in a Fairer World Cup.” New York Times. Available at: http://www.nytimes.com/2014/06/14/upshot/a-better-way-to-rank-soccer-teams-in-a-fairer-world-cup.html.Search in Google Scholar

Jones, M. C. 1990. “The World Cup Draw’s Flaws.” Mathematical Gazette 74(470):335–338.10.2307/3618128Search in Google Scholar

Kaminski, M. 2012. “How Strong are Soccer Teams? “Host paradox” in FIFA’s ranking.” Preprint. Available at: http://www.scpi.politicaldata.org/SCPiviii/kaminski8.pdf.Search in Google Scholar

Kloessner, S. and M. Becker. 2013. “Odd Odds: The UEFA Champions League Round of Sixteen Draw.” Journal of Quantitative Analysis in Sports 9(3):249–270.Search in Google Scholar

Lasek, J., Z. Szlávik, and S. Bhulai. 2013. “The Predictive Power of Ranking Systems in Association Football.” International Journal of Applied Pattern Recognition 1(1):27–46.10.1504/IJAPR.2013.052339Search in Google Scholar

Marcuccitti, P. “Who will be Seeded at Germany 2006: Final Table.” Available at: http://www.planetworldcup.com/GUESTS/paul20051127.html.Search in Google Scholar

McHale, I. and S. Davies. 2007. “Statistical Analysis of the Effectiveness of the FIFA World Rankings.” in Statistical Thinking in Sports, edited by Jim Albert and Ruud H. Koning. Chapman & Hall/CRC.10.1201/9781584888697.ch5Search in Google Scholar

Pitchside Europe. 2013. “Are Switzerland Really Better than Italy? FIFA’s Insane Ranking System Explained.” Available at: http://uk.eurosport.yahoo.com/blogs/pitchside-europe/switzerland-really-better-italy-fifa-insane-ranking-system-144405289.html.Search in Google Scholar

Rathgeber, A. and H. Rathgeber. 2007. “Why Germany Was Supposed To Be Drawn in the Group of Death and Why It Escaped.” Chance 20(2):22–24.10.1080/09332480.2007.10722842Search in Google Scholar

Wikipedia websites “1998 FIFA World Cup seeding,” (resp. 2002, 2006). Available at: http://en.wikipedia.org/wiki/1998_FIFA_World_Cup_seeding (resp. 2002, 2006).Search in Google Scholar

World Football Elo Ratings. http://www.eloratings.net/world.html.Search in Google Scholar

Published Online: 2015-5-22
Published in Print: 2015-9-1

©2015 by De Gruyter

Downloaded on 28.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/jqas-2014-0030/html
Scroll to top button