46
The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion World Cup draw: quantifying (un)fairness and (im)balance Julien Guyon Bloomberg L.P., Quantitative Research Columbia University, Department of Mathematics NYU, Courant Institute of Mathematical Sciences Workshop on Fairness in Sports Ghent University, April 12, 2018 [email protected], [email protected], [email protected] Julien Guyon Bloomberg L.P., Columbia University, and NYU World Cup draw: quantifying (un)fairness and (im)balance

World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Page 1: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

World Cup draw: quantifying (un)fairness and (im)balance

Julien Guyon

Bloomberg L.P., Quantitative Research

Columbia University, Department of Mathematics

NYU, Courant Institute of Mathematical Sciences

Workshop on Fairness in SportsGhent University, April 12, 2018

[email protected], [email protected], [email protected]

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 2: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

The FIFA World CupTM: Basic facts

The most popular sporting event in the world.

32 senior men’s national soccer teams (48 from 2026... another story).

5 continents represented: Europe (UEFA, 13 teams), South America(CONMEBOL, 5 teams), Africa (CAF, 5 teams), North and CentralAmerica (CONCACAF, 4 teams), and Asia (AFC, 4 teams) + hostcountry.

Group stage: the 32 finalists are divided into 8 groups of 4, labeled Athrough H. Each group plays a round-robin tournament, and the winnerand runner-up advance to the knockout stage:

This talk is about how the 8 groups used to be built until 2014,what we suggested back in 2014 to improve fairness and balance,

and how FIFA reacted.Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 3: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Principles guiding the draw rules

Draw procedure indicates that FIFA is guided by 4 legitimate principles:

Randomness: Teams placed into groups randomly.

Tractability: Small number of bowls and balls + TV show of about onehour.

Balance: Procedure should produce eight balanced groups.

Geographic separation: Teams from the same continent cannot be drawninto the same group. Exception: European teams, since there are morethan 8 of them—a maximum of 2 European teams per group is allowed.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 4: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

The 4 pots of the final draw of the 2014 FIFA World Cup

Pot 1: seeded teams Pot 2: S.A. & Africa Pot 3: N.A. & Asia Pot 4: Europe

11 Brazil (11) 12 Chile (12) 13 USA (13) 8 Netherlands (8)1 Spain (1) 17 Cote d’Iv. (17) 23 Mexico (24) 9 Italy (9)2 Germany (2) 21 Ecuador (22) 24 Costa Rica (31) 10 England (10)3 Argentina (3) 22 Ghana (23) 27 Honduras (34) 14 Portugal (14)4 Colombia (4) 25 Algeria (32) 28 Japan (44) 15 Greece (15)5 Belgium (5) 26 Nigeria (33) 29 Iran (49) 16 Bosnia (16)6 Uruguay (6) 32 Cameroon (59) 30 Korea Rep. (56) 18 Croatia (18)7 Switzerland (7) 1 team drawn from Pot 4 31 Australia (57) 19 Russia (19)

20 France (21)

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 5: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Lack of balance

Gr. A 11 Brazil (11) 32 Cameroon (59) 23 Mexico (24) 18 Croatia (18)Gr. B 1 Spain (1) 12 Chile (12) 31 Australia (57) 8 Netherlands (8)Gr. C 4 Colombia (4) 17 Cote d’Iv. (17) 28 Japan (44) 15 Greece (15)Gr. D 6 Uruguay (6) 9 Italy (9) 24 Costa Rica (31) 10 England (10)Gr. E 7 Switzerland (7) 21 Ecuador (22) 27 Honduras (34) 20 France (21)Gr. F 3 Argentina (3) 26 Nigeria (33) 29 Iran (49) 16 Bosnia(16)Gr. G 2 Germany (2) 22 Ghana (23) 13 USA (13) 14 Portugal (14)Gr. H 5 Belgium (5) 25 Algeria (32) 30 Korea Rep. (56) 19 Russia (19)

Group A B C D E F G H Range Std dev

Sum of relative ranks 1–32 84 52 64 49 75 74 51 79 35 13.0Sum of FIFA rankings 112 78 80 56 84 101 52 112 60 21.6

Sum of 3 best relative ranks 1–32 52 21 36 25 48 47 29 49 31 11.4Sum of 3 best FIFA rankings 53 21 36 25 50 52 29 56 35 13.2

weak strong

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 6: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Other flaws of the 2014 draw system

Lack of fairness: Some teams have a greater chance of ending up in a toughgroup than the rest.

The high-ranked teams that are placed in pots together with low-rankedones are more likely to end up in tough groups than they should.

2 teams particularly aggrieved in 2014: Chile and the United States.

Uneven distribution: All possible outcomes of the draw are not equally likely.

Much better than in the past, see Jones (1990) and Rathgeber andRathgeber (2007).

But still imperfect: P(Chile or Ecuador are placed into Group B) shouldhave been 2/7 = 14/49. It was actually 13/49 (or 24/49, depending oninterpretation of draw rules)

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 7: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Our first suggestion: mimic UEFA Champions League group stage drawprocedure

First, pots are built by level, with the best 8 qualified teams in Pot 1, thefollowing 8 in Pot 2, etc.

The host country is placed automatically in Group A—a tradition that wedo not question—and the seven other teams of Pot 1 are allocated to theseven remaining groups (B to H) randomly.

Then Pot 2 is emptied sequentially, randomly, and each time a team isdrawn from Pot 2, a computer gives the list of the acceptable groups forthis team. Not as easy as it seems: needs backtracking algorithm toprevent dead ends. Then an acceptable group is randomly drawn.

This procedure is repeated for Pots 3 and 4.

Greatly improves fairness and balance.

However, such a procedure is not evenly distributed: Some acceptabledraws are more likely than others.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 8: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Pots by level

Pot 1 Pot 2 Pot 3 Pot 4

11 Brazil (11) 8 Netherlands (8) 17 Cote d’Ivoire (17) 25 Algeria (32)1 Spain (1) 9 Italy (9) 18 Croatia (18) 26 Nigeria (33)

2 Germany (2) 10 England (10) 19 Russia (19) 27 Honduras (34)3 Argentina (3) 12 Chile (12) 20 France (21) 28 Japan (44)4 Colombia (4) 13 USA (13) 21 Ecuador (22) 29 Iran (49)5 Belgium (5) 14 Portugal (14) 22 Ghana (23) 30 Korea Rep. (56)6 Uruguay (6) 15 Greece (15) 23 Mexico (24) 31 Australia (57)

7 Switzerland (7) 16 Bosnia (16) 24 Costa Rica (31) 32 Cameroon (59)

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 9: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

The crucial question

When we use pots by level, how can we ensurethat the geographic constraint is satisfied, in a

tractable, evenly distributed way?

The obvious evenly distributed rules are not tractable:list all admissible outcomes and draw one uniformlyrejection method

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 10: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Our second suggestion: draw continents first, then teams

1 Build pots by level

2 Draw the continents first, then the teams

Based on the concept of admissible continental distribution:

Pot 1 Pot 2 Pot 3 Pot 4

Brazil (11) Europe North America AfricaSpain (1) North America Europe Asia

Germany (2) Europe Africa North AmericaArgentina (3) Europe Europe AfricaColombia (4) Europe North America AsiaBelgium (5) South America Africa AsiaUruguay (6) Europe Europe Asia

Switzerland (7) Europe South America Africa

Table: An example of an admissible continental distribution for the 2014 FIFA WorldCup BrazilTM.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 11: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Our second suggestion: draw continents first, then teams

Pots built by level.

Before the draw, the list of the N admissible continental distributions isestablished. In 2014, N = 315, 360.1

The day of the draw, an admissible continental distribution is drawn.

Then teams are drawn: Pot 4 is emptied sequentially, randomly, and whena team is drawn, it goes to the first available position for its continent,from Row 1 to Row 8.

The same procedure is repeated for Pots 3 and 2.

Eventually, the host country is allocated to group A, while the sevenremaining seeded teams are allocated randomly to groups B to H, whichwill determine the matches for the knockout stage.

Greatly improves fairness and balance. And all acceptable outcomes areequally likely.

However, such a procedure is not tractable: N is too large!

1349,920 if FIFA allows groups with no European teams

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 12: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Our third suggestion

Add an S-curve constraint

Draw I

Pot 1 Pot 4 Pot 5 Pot 81 Brazil (11) 16 Bosnia (16) 17 Cote d’Iv. (17) 32 Cameroon (59)2 Spain (1) 15 Greece (15) 18 Croatia (18) 31 Australia (57)3 Germany (2) 14 Portugal (14) 19 Russia (19) 30 Korea Rep. (56)4 Argentina (3) 13 USA (13) 20 France (21) 29 Iran (49)

Draw II

Pot 2 Pot 3 Pot 6 Pot 75 Colombia (4) 12 Chile (12) 21 Ecuador (22) 28 Japan (44)6 Belgium (5) 11 England (10) 22 Ghana (23) 27 Honduras (34)7 Uruguay (6) 10 Italy (9) 23 Mexico (24) 26 Nigeria (33)8 Switzerland (7) 9 Netherlands (8) 24 Costa Rica (31) 25 Algeria (32)

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 13: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Admissible continental distributions

Draw I

Pot 1 Pot 4 Pot 5 Pot 8Brazil (11) Europe Europe AsiaSpain (1) Europe Africa Asia

Germany (2) North America Europe AfricaArgentina (3) Europe Europe Asia

Draw II

Pot 2 Pot 3 Pot 6 Pot 7Colombia (4) Europe North America AfricaBelgium (5) South America Africa AsiaUruguay (6) Europe North America Africa

Switzerland (7) Europe South America North America

In 2014: Only NI = 6 admissible continental distributions for Draw I, andNII = 24 for Draw II.In 2018: NI = 72 and NII = 18.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 14: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

The procedure

1 Before the draw, the exhaustive list of admissible continental distributionsis established for both Draw I and Draw II, and numbered from 0 toNI − 1 and 0 to NII − 1 respectively.

2 The day of the draw, two numbers are drawn independently that followthe uniform distribution on the integers from 0 to NI − 1, and 0 toNII − 1 respectively, defining the admissible continental distributions

3 Then Pot 8 is emptied sequentially, randomly, and each team drawn goesto the first available position for its continent, from Row 1 to Row 4.

4 The same procedure is repeated for Pots 7, 6, 5, 4 and 3.

5 Eventually, in order to determine the matches for the knockout stage, thehost country is allocated to group A—a tradition that we do notquestion—while the seven remaining seeded teams are allocated randomlyto groups B to H in a way that is consistent with the S-curve constraint.

First time that a random procedure is suggested for the final draw of the FIFAWorld Cup that is tractable, produces balanced groups, and satisfies thegeographic constraint. Moreover, it is fair to all teams, and evenly distributed.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 15: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 16: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 17: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 18: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 19: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 20: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 21: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Figure: Distribution of the range (left) and standard deviation (right) of the eightsums of relative ranks, using FIFA rankings for seeding

Figure: Using Elo ratings as of June 1, 2014 for seeding in our suggested procedureJulien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 22: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Lucky/unlucky teams

From our analysis, one can also quantify how lucky/unlucky a team wasduring the day of the draw.

Luckiest team: Mexico. Unluckiest: Australia.

Lucky teams: Algeria, Argentina, Belgium, Croatia, Ecuador, Russia,South Korea...

Unlucky teams: Costa Rica, England, Germany, Ghana, Netherlands,Portugal, Uruguay...

By looking at the p-value of their draw, one can rank teams from theluckiest to the unluckiest; see Aisch and Leonhardt (2014).

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 23: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Number of admissible continental distributions since 1998

1, 2 Europ. team per group 0, 1, 2 Europ. team per groupNI NII NI NII

2014 6 24 6 242014 (Elo) 60 108 60 108

2010 252 24 428 242006 (OFC) 18 338 18 4102006 (AFC) 18 110 18 126

2002 32 0 60 02002 (rebalanced) 48 48 48 48

1998 60 0 84 01998 (rebalanced) 108 9 108 9

Benefits of imposing the S-curve constraint:

1 From 315,360 admissible continental distributions to only 6 and 24!

2 Even more balanced groups

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 24: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 25: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 26: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 27: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 28: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 29: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

...FIFA has finally adopted fairer rules!

New procedure = Suggestion 1, with a slight (wrong) twist

Each time a team is drawn from Pot 2, a computer gives the list ofacceptable groups, and the team goes to the first acceptable group inalphabetical order (instead of randomly to one of the acceptable groups).Same for Pots 3 and 4.

However, Russia, the host country, was automatically placed into Group A!

=⇒ Russia has more chances of drawing a European team from Pot 2than it should have.

Pot 1 Pot 2 Pot 3 Pot 4

32 Russia (65) 8 Spain (8) 16 Denmark (19) 24 Serbia (38)1 Germany (1) 9 Peru (10) 17 Iceland (21) 25 Nigeria (41)

2 Brazil (2) 10 Switzerland (11) 18 Costa Rica (22) 26 Australia (43)3 Portugal (3) 11 England (12) 19 Sweden (25) 27 Japan (44)

4 Argentina (4) 12 Colombia (13) 20 Tunisia (28) 28 Morocco (48)5 Belgium (5) 13 Mexico (16) 22 Egypt (30) 29 Panama (49)6 Poland (6) 14 Uruguay (17) 23 Senegal (32) 30 Korea Rep. (62)7 France (7) 15 Croatia (18) 24 Iran (34) 31 Saudi Arabia (63)

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 30: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2018 World Cup draw probabilities for Russia

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 31: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2018 World Cup draw probabilities for Germany

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 32: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2018 World Cup draw probabilities for Russia without FIFA’s mistake

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 33: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2018 World Cup draw probabilities for Germany without FIFA’s mistake

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 34: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2018 World Cup draw probabilities for Serbia

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 35: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Greater group balance in 2018... but the S-curve does better

Figure: Distribution of the range of the eight sums of relative ranks in 2014 (left) and2018 (right), treating host as nb 1

Figure: Distribution of the standard deviation of the eight sums of relative ranks in2014 (left) and 2018 (right), treating host as nb 1

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 36: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

If Russia is treated as nb 1

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 37: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

If Russia is treated as nb 1

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 38: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

But Russia is actually nb 32, according to (flawed) FIFA rankings

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 39: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

But Russia is actually nb 32, according to (flawed) FIFA rankings

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 40: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

But Russia is actually nb 32, according to (flawed) FIFA rankings

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 41: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Conclusion

Devising fair rules guarantees a fair competition, in which no team feelsaggrieved.Group balance ensures that the teams that advance to the round of 16owe it to their sporting merit, not to a lucky draw, and that the ones thatfail to advance must blame themselves, not an unlucky draw =⇒ Betterknockout stage, better tournament.FIFA, alerted of the flaws of the draw procedure of the World Cup, hasfinally adopter fairer rules.FIFA mimicked the UEFA CL group stage draw procedure (our Suggestion1), but with a slight (wrong) twist that affected Russia’s probabilities.Mathematically, this not neat as all admissible outcomes of the draw arenot equally likely.Our Suggestion 3 is a tractable procedure that produces eight random,balanced, and geographically diverse groups, is fair to all teams, andproduces equally likely outcomes. Even more balanced and fair than the2018 official procedure!The biggest remaining fairness issue is the protection of the host country,which is seeded whatever its actual strength (South Africa, Russia,Qatar...).

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 42: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

Selected references

Aisch, G. and D. Leonhardt. June 5, 2014. “Mexico, the World Cup’s Luckiest Country.”

The New York Times. nytimes.com/2014/06/06/upshot/mexicos-run-of-world-cup-luck-has-continued.html.

Guyon, J. 2014. “Rethinking the FIFA World Cup final draw.” To appear in Journ. Quant.

Anal. Sports. Long version: ssrn.com/abstract=2424376.

Guyon, J. June 4, 2014. “The World Cup Is Unfair. Here’s A Better Way” The New York

Times. nytimes.com/2014/06/05/upshot/the-world-cup-draw-is-unfair-heres-a-better-way.html.

Guyon, J. June 13, 2014. “A Better Way to Rank Soccer Teams in a Fairer World Cup.” The

New York Times. nytimes.com/2014/06/14/upshot/a-better-way-to-rank-soccer-teams-in-a-fairer-world-cup.html.

Jones, M.C. 1990. “The World Cup draw’s flaws.” Mathematical Gazette. 74(470):335–338.

Kloessner, S., and M. Becker. 2013. “Odd Odds: The UEFA Champions LeagueTM Round of

Sixteen Draw.” Journ. Quant. Anal. Sports. 9(3):249–270.

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.

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 43: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2010

Pot 1 Pot 4 Pot 5 Pot 8

1 South Africa (85) 16 Mexico (18) 17 Cote 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)

Table: Pots by level for the teams which qualified to the 2010 FIFA World Cup SouthAfricaTM. The number in brackets is the October 2009 FIFA ranking. The S-curvefollows increasing FIFA rankings, except for the host country, which is protected andput in first position of Pot 1. The italicized number indicates the position in theS-curve, from 1 to 32

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 44: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2006

Pot 1 Pot 4 Pot 5 Pot 8

1 Germany 16 Czech Rep. 17 Portugal 32 Togo2 Brazil 15 Paraguay 18 Costa Rica 31 Angola3 England 14 Croatia 19 Saudi Arabia 30 Ghana4 Spain 13 Sweden 20 Poland 29 Trinidad and Tobago

Pot 2 Pot 3 Pot 6 Pot 7

5 Mexico 12 Japan 21 Iran 28 Australia6 France 11 South Korea 22 Tunisia 27 Cote d’Ivoire7 Italy 10 Netherlands 23 Ecuador 26 Ukraine8 Argentina 9 USA 24 Serbia & Montenegro 25 Switzerland

Table: Pots by level for the teams which qualified to the 2006 FIFA World CupGermanyTM. The italicized number indicates the position in the S-curve, from 1 to 32

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 45: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

2002

Pot 1 Pot 4 Pot 5 Pot 8 Pot 8 (rebalanced)

1 South Korea 16 Belgium 17 Portugal 32 Senegal 32 Senegal2 Japan 15 USA 18 Ireland 31 China 31 China3 Brazil 14 Sweden 19 Russia 30 Ecuador 27 Slovenia4 Argentina 13 Paraguay 20 Nigeria 29 Costa Rica 28 Poland

Pot 2 Pot 3 Pot 6 Pot 7 Pot 7 (rebalanced)

5 Italy 12 Denmark 21 Saudi Arabia 28 Poland 29 Costa Rica6 Germany 11 Croatia 22 South Africa 27 Slovenia 30 Ecuador7 France 10 England 23 Tunisia 26 Uruguay 26 Uruguay8 Spain 9 Mexico 24 Cameroon 25 Turkey 25 Turkey

Table: Pots by level for the teams which qualified to the 2002 FIFA World CupKorea/JapanTM. Note that the lower part of the S-curve has 10 European teams (outof 15). Right: Pots 7 and 8 after using the S-curve rebalancing algorithm. Theitalicized number indicates the initial position in the S-curve, from 1 to 32

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance

Page 46: World Cup draw: quantifying (un)fairness and (im)balance · 2018-04-18 · The Problem20141st suggestion2nd suggestion3rd suggestionComparing balance and fairness2018Conclusion The

The Problem 2014 1st suggestion 2nd suggestion 3rd suggestion Comparing balance and fairness 2018 Conclusion

1998

Pot 1 Pot 4 Pot 5 Pot 8 Pot 8 (rebalanced)

1 France 16 Norway 17 Morocco 32 Iran 32 Iran2 Germany 15 Denmark 18 Cameroon 31 Jamaica 31 Jamaica3 Brazil 14 USA 19 Nigeria 30 South Afr. 27 Austria4 Italy 13 Colombia 20 Saudi Arabia 29 Paraguay 28 Croatia

Pot 2 Pot 3 Pot 6 Pot 7 Pot 7 (rebalanced)

5 Spain 12 Belgium 21 Yugoslavia 28 Croatia 29 Paraguay6 Argentina 11 England 22 South Korea 27 Austria 30 South Afr.7 Romania 10 Bulgaria 23 Scotland 26 Chile 26 Chile8 Netherlands 9 Mexico 24 Japan 25 Tunisia 25 Tunisia

Table: Pots by level for the teams which qualified to the 1998 FIFA World CupFranceTM. Note that the lower part of the S-curve has 10 European teams (out of15). Right: Pots 7 and 8 after using the S-curve rebalancing algorithm. The italicizednumber indicates the initial position in the S-curve, from 1 to 32

Julien Guyon Bloomberg L.P., Columbia University, and NYU

World Cup draw: quantifying (un)fairness and (im)balance