A simulation model for football championships

European Journal of Operational Research

Volumn 148, Issue 2, 2003, Pages 268-276

  Koning, Ruud H ^a   Koolhaas, Michael ^a   Renes, Gusta ^a   Ridder, Geert ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Football; Poisson models; Simulation

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; MATHEMATICAL MODELS; POISSON DISTRIBUTION; PROBABILITY;

POISSON MODELS;

OPERATIONS RESEARCH;

EID: 0037449243     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(02)00683-5     Document Type: Article

References (9)

1. Dixon, M.J., Robinson, M.E., 1997. A birth process for association football matches. Manuscript, Lancaster University.
2. Koning, R.H., 2000. An econometric evaluation of the firing of a coach on team performance. Applied Economics, forthcoming.
3. Maher M.J. Modelling association football scores. Statistica Neerlandica. 36:1982;109-118.
4. Ridder G., Cramer J.S., Hopstaken P. Down to ten: Estimating the effect of a red card in soccer. Journal of the American Statistical Association. 89:1994;1124-1127.
5. Stern H. Who's number ones? Rating football teams. Proceedings of the Section on Statistics in Sport. 1992;1-6 American Statistical Association.
6. Van Gelder, R., Hopstaken, P., Koning, R.H., Koolhaas, M.P., Ridder, G., Renes, G., 1994. Toch bestaat de mogelijkheid dat Zuid-Korea wint. Trouw (In the end, it is possible that South-Korea wins).
7. Werkgroep Voetbal Statistiek, 1996. Gokken op goud. Trouw (Gambling on gold).
8. Werkgroep Voetbal Statistiek, 1998. De statistiek spreekt: Engeland is favoriet. Het Parool (Statistics speaks out: England is the favorite).
9. Wilson R.L. Ranking college football teams: A neural network approach. Interfaces. 25:1995;44-59.