Interaction between Dutch Soccer Teams and Fans : A Mathematical Analysis through Cooperative Game Theory

Inspired by the first lustrum of the Club Positioning Matrix (CPM) for professional Dutch soccer teams, we model the interaction between soccer teams and their potential fans as a cooperative cost game based on the annual voluntary sponsorships of fans in order to validate their fan registration in a central database. We introduce a natural cost allocation to the soccer teams, based in a natural manner on the sponsorships of fans. The game theoretic approach is twofold. On the one hand, an appropriate cost game called “fan data cost game” is developed and on the other, it is shown that the former natural cost allocation agrees with the solution concept called “nucleolus” of the fan data cost game.

Five years CPM.The first lustrum of the (Dutch) "Eredivisie Effectenbeurs"is a fact.At the initiative of the professional teams in the Dutch soccer league called "Eredivisie", the first CPM research has been carried out October 2006 by one of the German leading research and consultancy companies in international sport business (i.e., marketing and sponsoring) called "Sport + Markt" (www.sportundmarkt.com).October 2009 the fourth CPM research involved 4.500 participants randomly selected from the whole Dutch population (with the common feature to be a fan of soccer).Since these eighteen soccer teams were not satisfied at all by the point of time October, the fifth CPM research edition has been carried out among 4.500 participants in two stages, namely August 2010 at the beginning of the soccer season and January 2011 during the soccer winter break.The end of March 2011, the CPM 2011 scores have been sent to the professional Dutch soccer teams and published exclusively in the weekly Dutch soccer magazine "Voetbal International" (www.vi.nl) [1].
The CPM 2011 scores have direct consequences for the participating soccer teams since the allocation of media (television and broadcast) money among all the soccer teams is based equally on both the annual sport results and the average CPM scores over three years.The more CPM points, the more media money.During one half of a century, the annual sport results were dominated fully by the triple PSV Eindhoven (last Dutch champi-onships in 2000,2001,2003,2005,2006,2007,2008), Ajax Amsterdam (2002, 2004, 2011), and Feyenoord Rotterdam (1974, 1984, 1993, 1999), with exceptions caused by DWS in 1964, AZ'67 Alkmaar in 1981 as well as 2009, and FC Twente Enschede in 2010.The top five of the last three annual sport results are listed in Table 1.
The annual CPM is a marketing instrument that measures the marketing value (through a professional jury of marketing specialists) as well as the imago of every professional soccer team (through the randomly selected soccer fans), which, in turn, is determined on the basis of six parts.Finally, the marketing value, the imago, and the annual sport result are put into some calculation model yielding the annual CPM scores.
The top five of the best marketing is as follows: 1) PSV; 2) SC Heerenveen; 3) FC Twente; 4) Ajax; 5) Feyenoord.Like the fourth edition, the team with the best imago is FC Twente due to its unique national championship, its successful participation in the international Champions League as well as the European League (till the quarter finales), and its new stadium called Grolsch Veste.FC Twente's imago is the best in the subfields attraction (charm), fascination, economical success, and the second best in the subfields emotional involvement and identification.The top six of the best imago is as follows: 1) FC Twente 699; 2) Ajax 641; 3) PSV 624; 4) SC Heerenveen 558; 5) FC Groningen 539; 6) Feyenoord 476.
In summary, the CPM score of FC Twente increased drastic, Feyenoord's score decreased drastic, so that the third ranking in the CPM 2011 scores is occupied by FC

The Fan Database Model
Given the current fan status as the model of the interaction between the professional Dutch soccer teams and their potential fans, our main goal is to apply the solution part of the mathematical field called "cooperative game theory".The so-called "players" are the soccer teams, each of which is endowed with a set of potential fans, each of which is supposed to validate its fan registration in a central database through an annual voluntary sponsorship to be cashed to the national soccer association.This annual sponsorship is said to be voluntary since it varies from fan to fan, each fan decides by him/herself about the contribution to be small or large.No registration if the potential fan is not willing to fulfill this sponsorship.In fact, any commitment to this sponsorship guarantees certain priorities to the fan, such as priority rights to purchase tickets for additional (inter)national soccer matches with or without discount, program booklets free of charge, and so on.Notice that any fan is allowed to be registrated (in a central database run by the national soccer association) for a number of distinct soccer teams (not necessarily one team), while contributing the annual voluntary sponsorship once (at the beginning of the soccer season).Table 3 surveys the essential notions about soccer teams and fans.
In summary, the fan database of professional Dutch soccer teams may be modeled as the triple such that the "player set" consists of the soccer teams, the set i

N F S
 N F consists of fans of soccer team and represents the annual voluntary sponsorship of fan In fact, these sponsorships are combined to construct the following cost allocation In the sequel let R X denote the cardinality of any finite set .
X Consider the budget as the sum of sponsorships of fans with a unique (unspecified) favourite soccer team (that is, with Firstly, factorize this budget in accordance with the appearance of the unique soccer team involved, that is , with the understanding that 0 i b  if there are no fans j F  with unique favourite soccer team Secondly, with reference to these factorizations, determine the deviations with respect to their average.In summary, charge to soccer team the cost allocation       For all , , or equivalently, by (3.1) . In order to prov follow j F e (3.4), fix player . By (3.1), we tions: Here the second equality is due to the following equivalences (given i N ): { }

The Nucleolus of the Fan Data Cost Game
Our study of the nucleolus involves the notion of excess , where , , . I that the level of th t turns out e n smallest excesses with respect to our cost allocatio cost games, its nucleolus is fully solved by the -person coalitions have the smallest excess among rivial coalitions with respect to our cost allocation y and according to Kohlberg's criterion [3], this suffices to conclude that our cost allocation y agrees with the nucleolus of the fan data cost game , N c of the form (3.1).Thus, in the setting of fan data explicit form of our cost allocation , and so, numerical methods and computational complexity are replaced by theoretical results due cant property (3.2) of the fan data cost e to the signifigame.Clearly, th Example 5.1.The four soccer teams of Ajax Amsterdam y-number of constraints in (3.2) is the same as the exponential number of non-trivial coalitions.According to the equivalent property (3.3), slight changes in the sponsorships do not affect the strict inequalities and so, stability applies to some extent.

A Four-Person Example of a Fan Data Cost Game
(A), Olympique Lyon (L), Real Madrid (M), and D namo Zagreb (Z) compete against each other within one group during the first round of the Champions League 2011-2012.Suppose that six television stations are appointed to broadcast the mutual matches such that the public Spanish TV station 3 is interested in all the four soccer teams, the public French TV station 2 is interested in every team except Zagreb, the national Dutch and Croatian TV stations 1 and 6 respectively only in their home team, similar to the local French and Spanish TV stations 4 and 5 respectively.That is, the data sets , , , F F F F of fans of these four soccer teams are given by {1, 2, 3}, Based on the existence of the TV stations 1, 4,5, 6 with a unique specified favourite soccer team , , , A L M e sponsorships , , , Z , th  6.Notice that the in fourth column concerning the cost of any coalition is equal to the fifth column concerning the sum of separable benefits of the soccer teams in the complementary coalition, except for coalition { } Z .The dominance of the fourth column to the fifth column is the most significant property (3.2) of the fan data cost game.
The core of the fan data cost game is a quadrilateral with extreme points   to soccer team i the negative amount i b  , and charge N  .I the budget B qually among all the soccer teams.In particular, a soccer team i receives a reward (instead of a cost charge) if and only if the total sponsorship i b exceeds the average e B of the budget.The larger N , from fans who are willing to contribute a large sponsorship.
Note that the soccer team o o sh s are willing to c are the fan data information of the central database in order to solve the minimization problem of shortages of sponsorships in that   0 c N  reflecting the formation Copyright © 2012 SciRes.AM

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Coalitional sponsorship of fans of at least one soccer team of S.Coalitional loss (shortage) of sponsorship of soccer teams of coalition SFan data cost of coalition S.Motivation for cooperation to form the grand coalition N due to minimization of shortages of sponsorship.reports two essential pr ties of the fan data cost game , N c .Lemma 3.2.Let , N c be the fan data cost game of (3.1).
is divided equally among all the four soccer teams resulting in the allocations amounting This final allocation is supported by the gam etic approach as the solution concept called nucleolus of the fan data cost game e theor , N c listed Table

Table 4
surveys the essential notions in the setting of cost allocations.

Table 3 . The essential notions about soccer teams and fans.
j

Table 5 . The essential notions in the setting of fan data cost game.
i t of soccer teams, called coali i S  Soccer team i of coalition S.