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Comparing league formats with respect to match importance in Belgian football

Citations

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Cited by:

  1. László Csató, 2025. "Mitigating the risk of tanking in multi-stage tournaments," Annals of Operations Research, Springer, vol. 344(1), pages 135-151, January.
  2. László Csató, 2020. "Optimal Tournament Design: Lessons From the Men’s Handball Champions League," Journal of Sports Economics, , vol. 21(8), pages 848-868, December.
  3. Praveen Ranjan Srivastava & Prajwal Eachempati & Ajay Kumar & Ashish Kumar Jha & Lalitha Dhamotharan, 2023. "Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework," Annals of Operations Research, Springer, vol. 325(1), pages 319-361, June.
  4. Corona Francisco & Horrillo Juan de Dios Tena & Wiper Michael Peter, 2017. "On the importance of the probabilistic model in identifying the most decisive games in a tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(1), pages 11-23, March.
  5. Daniel Goller & Sandro Heiniger, 2024. "A general framework to quantify the event importance in multi-event contests," Annals of Operations Research, Springer, vol. 341(1), pages 71-93, October.
  6. Valerio Ficcadenti & Roy Cerqueti & Ciro Hosseini Varde’i, 2023. "A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league “Serie A"," Annals of Operations Research, Springer, vol. 325(1), pages 85-113, June.
  7. Csató, László, 2023. "How to avoid uncompetitive games? The importance of tie-breaking rules," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1260-1269.
  8. Jarrod Olson & Daniel F. Stone, 2014. "Suspense-Optimal College Football Play-Offs," Journal of Sports Economics, , vol. 15(5), pages 519-540, October.
  9. László Csató, 2022. "How to design a multi-stage tournament when some results are carried over?," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 683-707, September.
  10. Scarf, Phil & Parma, Rishikesh & McHale, Ian, 2019. "On outcome uncertainty and scoring rates in sport: The case of international rugby union," European Journal of Operational Research, Elsevier, vol. 273(2), pages 721-730.
  11. Antonio Avila-Cano & Amparo Ruiz-Sepulveda & Francisco Triguero-Ruiz, 2021. "Identifying the Maximum Concentration of Results in Bilateral Sports Competitions," Mathematics, MDPI, vol. 9(11), pages 1-19, June.
  12. Raffaele Mattera, 2023. "Forecasting binary outcomes in soccer," Annals of Operations Research, Springer, vol. 325(1), pages 115-134, June.
  13. Michal Friesl & Jan Libich & Petr Stehlík, 2020. "Fixing ice hockey’s low scoring flip side? Just flip the sides," Annals of Operations Research, Springer, vol. 292(1), pages 27-45, September.
  14. Dmitry Dagaev & Alex Suzdaltsev, 2015. "Seeding, Competitive Intensity and Quality in Knock-Out Tournaments," HSE Working papers WP BRP 91/EC/2015, National Research University Higher School of Economics.
  15. Dagaev Dmitry & Rudyak Vladimir Yu., 2019. "Seeding the UEFA Champions League participants: evaluation of the reforms," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(2), pages 129-140, June.
  16. John Considine & Liam Gallagher, 2018. "Competitive balance in a quasi-double knockout tournament," Applied Economics, Taylor & Francis Journals, vol. 50(18), pages 2048-2055, April.
  17. Csató László, 2022. "The effects of draw restrictions on knockout tournaments," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 18(4), pages 227-239, December.
  18. Pierpaolo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A robust method for clustering football players with mixed attributes," Annals of Operations Research, Springer, vol. 325(1), pages 9-36, June.
  19. Jiří LahviÄ ka, 2015. "Using Monte Carlo Simulation to Calculate Match Importance," Journal of Sports Economics, , vol. 16(4), pages 390-409, May.
  20. Guillermo Durán & Mario Guajardo & Rodrigo Wolf-Yadlin, 2012. "Operations Research Techniques for Scheduling Chile's Second Division Soccer League," Interfaces, INFORMS, vol. 42(3), pages 273-285, June.
  21. Emilios Galariotis & Christophe Germain & Constantin Zopounidis, 2018. "A combined methodology for the concurrent evaluation of the business, financial and sports performance of football clubs: the case of France," Annals of Operations Research, Springer, vol. 266(1), pages 589-612, July.
  22. Geenens, Gery, 2014. "On the decisiveness of a game in a tournament," European Journal of Operational Research, Elsevier, vol. 232(1), pages 156-168.
  23. Tim Pawlowski & Georgios Nalbantis, 2015. "Competition format, championship uncertainty and stadium attendance in European football - a small league perspective," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4128-4139, August.
  24. Csató, László, 2022. "Quantifying incentive (in)compatibility: A case study from sports," European Journal of Operational Research, Elsevier, vol. 302(2), pages 717-726.
  25. Csató, László & Petróczy, Dóra Gréta, 2020. "Miért igazságtalan a 2020-as labdarúgó-Európa-bajnokság kvalifikációja? [Why is qualification for the 2020 European association football championship unfair?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 734-747.
  26. Wright, Mike, 2014. "OR analysis of sporting rules – A survey," European Journal of Operational Research, Elsevier, vol. 232(1), pages 1-8.
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