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A Decision Support System for Simulating and Predicting the Impacts of Various Tournament Structures on Tournament Outcomes


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Alpaydin, E. (2020). Introduction to Machine Learning. Cambridge: MIT Press Ltd. Search in Google Scholar

Altmann, S., Falk, A., & Wibral, M. (2012). Promotions and incentives: The case of multi stage elimination tournaments. Journal of Labor Economics, 30(1), 149–174. Search in Google Scholar

Appleton, D. R. (1995). May the best man win? The Statistician, 44, 529–538. Search in Google Scholar

Arlegi, R., & Dimitrov, D. (2020). Fair elimination-type competitions. European Journal of Operational Research, 287(2), 528–535. Search in Google Scholar

Aziz, H., Gaspers, S., Mackenzie, S., Mattei, N., Walsh, T., & Stursberg, P. (2014, July). Fixing a balanced knockout tournament. In Proceedings of the National Conference on Artificial Intelligence (pp. 552–558). California: AAAI Press. Search in Google Scholar

Barros, C. P., Peypoch, N., & Tainsky, S. (2014). Cost efficiency of French soccer league teams. Applied Economics, 46(8), 781–789. Search in Google Scholar

Carlsson, M., Johansson, M., & Larson, J. (2017). Scheduling double round-robin tournaments with divisional play using constraint programming. European Journal of Operational Research, 259(3), 1180–1190. Search in Google Scholar

Casanova, L., & Hanley, A. (2019). The influence of tournament format on competitive balance in professional sports. Journal of Sports Economics, 20(3), 297–319. Search in Google Scholar

Connolly, R. A., & Rendleman, R. J. (2011). Tournament qualification, seeding and selection efficiency: An analysis of the PGA TOUR’s FedEx Cup. Retrieved from http://mba.tuck.dartmouth.edu/pages/faculty/richard.rendleman/docs/fedexcup_6272.pdf Search in Google Scholar

Constantinou, A., & Fenton, N. (2017). Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowledge-Based Systems, 124, 93–104. Search in Google Scholar

Cooper, W. W., Seiford L. M., & Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. New York: Springer. Search in Google Scholar

Courneya, K.S., & Carron, A. V. (1992). The home advantage in sport competitions: a literature review. Journal of Sport and Exercise Psychology, 14, 1–27. Search in Google Scholar

Csató, L (2021). A simulation comparison of tournament designs for the World Men’s Handball Championships. International Transactions in Operational Research, 28, 2377–2401. Search in Google Scholar

Csató, L. (2020). Optimal tournament design: lessons from the Men’s Handball Champions League. Journal of Sports Economics, 21(8), 848–868. Search in Google Scholar

Csató, L. (2021). Tournament Design: How Operations Research Can Improve Sports Rules. Cham: Palgrave. Search in Google Scholar

Desa, W. L. H. M., Kamaruddin, S., Nawawi, M. K. M., and Khalid, R. (2013). Evaluating the performance of a multipart production system using discrete event simulation (DES). In International Proceedings of Economics Development & Research, 63(13), 64–67. Search in Google Scholar

Dinh, A. V. N., Bao, N. P. H., Khalid, M. N. A., & Iida, H. (2020). Simulating competitiveness and precision in a tournament structure: A reaper tournament system. International Journal of Information Technology, 12(1), 1–18. Search in Google Scholar

Dowie, J. (1982). Why Spain should win the world cup. New Scientist, 94(1309), 693–695. Search in Google Scholar

D’Souza, C. (2010). Optimising a tournament for use with ranking algorithms. Unpublished master’s thesis, University of Oxford. Search in Google Scholar

Fischer, K., & Haucap, J. (2021). Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic. Journal of Sports Economics, 22(8), 982–1008. Search in Google Scholar

Fun, W. H., Tan, E. H., Khalid, R., Sararaks, S., Tang, K. F., Ab Rahim, I., Md. Sharif, S., Jawahir, S., Sibert, R. M. Y., & Nawawi, M. K. M. (2022). Applying discrete event simulation to reduce patient wait times and crowding: The case of a specialist outpatient clinic with dual practice system. Healthcare, 10(2), 189. Search in Google Scholar

Glickman, M. E. (2008). Bayesian locally optimal design of knockout tournaments. Journal of Statistical Planning and Inference, 138(7), 2117–2127. Search in Google Scholar

Gamble, D., Bradley, J., McCarren, A., & Moyna, N. M. (2019). Team performance indicators which differentiate between winning and losing in elite Gaelic football. International Journal of Performance Analysis in Sport, 19(4), 478–490. Search in Google Scholar

Goossens, D. R., & Spieksma, F. C. (2012). The carryover effect does not influence football results. Journal of Sports Economics, 13(3), 288–305. Search in Google Scholar

Goumas, C. (2015). Modelling home advantage for individual teams in UEFA Champions League football. Journal of Sport and Health Science, 6(3), 321–326. Search in Google Scholar

Groh, C., Moldovanu, B., Sela, A., & Sunde, U. (2012). Optimal seeding in elimination tournaments. Economic Theory, 49(1), 59–80. Search in Google Scholar

Gu, W., & Saaty, T. L. (2019). Predicting the Outcome of a Tennis Tournament: Based on Both Data and Judgments. Journal of Systems Science and Systems Engineering, 28(3), 317–343. Search in Google Scholar

Guyon, J. (2022). Choose your opponent: A new knockout design for hybrid tournaments. Journal of Sports Analytics, 8, 9–29. Search in Google Scholar

Hadi, A. S., & Chatterjee, S. (2013). Regression Analysis by Example. New Jersey: Wiley. Search in Google Scholar

Hameiri, B., & Moore-Berg, S. L. (2022). Intervention tournaments: An overview of concept, design, and implementation. Perspectives on Psychological Science, 17(6), 1525–1540. Search in Google Scholar

Healy, A. F., & Kole, J. A. (2021). Accuracy of predictions in predicting winners of National Football League games. Journal of Psychology: Interdisciplinary and Applied, 155(2), 129–147. Search in Google Scholar

Hof, P. V., Post, G., & Briskorn, D. (2010). Constructing fair round-robin tournaments with a minimum number of breaks. Operations Research Letters, 38(6), 592–596. Search in Google Scholar

Illmer, S., & Daumann, F. (2022). The effects of weather factors and altitude on physical and technical performance in professional soccer: A systematic review. JSAMS Plus, 1, 100002. doi: https://doi.org/10.1016/j.jsampl.2022.100002 Search in Google Scholar

Jemson, T. J. (2013). For the love of money, football, and competition law: An analysis of whether UEFA’s financial fair play regulations breach European competition. Unpublished master’s thesis, University of Otago. Search in Google Scholar

Kashiwabara, K. (2009). Scheduling partial round-robin tournaments subject to home away pattern sets. The Electronic Journal of Combinatorics, 16(55), 1–23. Search in Google Scholar

Kim, T. (2019). Optimal approach to game scheduling of multiple round-robin tournament: Korea professional baseball league in focus. Computers & Industrial Engineering, 136, 95–105. Search in Google Scholar

Kissell, R., & Poserina, J. (2017). Chapter 4 - Advanced Math and Statistics. In R. Kissell & J. Poserina (Eds.), Optimal Sports Math, Statistics, and Fantasy (pp. 103-135): Academic Press. Search in Google Scholar

Koning, R.H., & McHale, I. (2012). Estimating Match and World Cup Winning Probabilities. In W. Maennig & A. S. Zimbalist (Eds.), International Handbook on the Economics of Mega Sporting Events (pp. 177–193). Cheltenham, Northampton: Edward Elgar Publishing. Search in Google Scholar

Krumer, A., Megidish, R., & Sela, A. (2023). Strategic manipulations in round-robin tournaments. Mathematical Social Sciences, 122, 50–57. Search in Google Scholar

Lago-Ballesteros, J., Lago-Peñas, C., & Rey, E. (2018). The effect of playing tactics and situational variables on achieving score-box possessions in a professional soccer team. Journal of Sports Sciences, 36(24), 2782–2789. Search in Google Scholar

Leitner, M. C., Daumann, F., Follert, F., & Richlan, F. (2022). The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective. Management Review Quarterly. doi:10.1007/s11301-021-00254-5 Search in Google Scholar

Lepschy, H., Wäsche, H., & Woll, A. (2020). Success factors in football: an analysis of the German Bundesliga. International Journal of Performance Analysis in Sport, 20(2), 150–164. Search in Google Scholar

Liu, T., García-De-Alcaraz, A., Zhang, L., & Zhang, Y. (2019). Exploring home advantage and quality of opposition interactions in the Chinese Football Super League. International Journal of Performance Analysis in Sport, 19(3), 289–301. Search in Google Scholar

Marchand, É. (2002). On the comparison between standard and random knockout tournaments. Journal of the Royal Statistical Society: Series D (The Statistician), 51(2), 169–178. Search in Google Scholar

McCarrick, D., Bilalic, M., Neave, N., & Wolfson, S. (2021). Home advantage during the COVID-19 pandemic: Analyses of European football leagues. Psychology of Sport and Exercise, 56, 102013. Search in Google Scholar

McGarry, T., & Schutz, R. W. (1997). Efficacy of traditional sport tournament structures. Journal of the Operational Research Society, 48(1), 65–74. Search in Google Scholar

Noll, R. G. (2003). The organization of sports leagues. Oxford Review of Economic Policy, 19(4), 530–551. Search in Google Scholar

Parent, M. &, Chappelet, J. (2015). Routledge Handbook of Sports Event Management. New York: Routledge. Search in Google Scholar

Peeters, T., & van Ours, J. C. (2021). Seasonal Home Advantage in English Professional Football; 1974–2018. De Economist, 169(1), 107–126. Search in Google Scholar

Placek, P. C. (2023). The impossibility of a perfect tournament. Entertainment Computing, 45, 100540. Search in Google Scholar

Pollard, R. (1986). Home advantage in soccer: A retrospective analysis. Journal of Sports Sciences, 4(3), 237–248. Search in Google Scholar

Pollard, R., & Armatas, V. (2017). Factors affecting home advantage in football World Cup qualification. International Journal of Performance Analysis in Sport, 17(1–2), 121–135. Search in Google Scholar

Pollard, R., Da Silva, C. D., & Nísio, C. M. (2008). Home advantage in football in Brazil: differences between teams and the effects of distance travelled. The Brazilian Journal of Soccer Science, 1(1), 3–10. Search in Google Scholar

Pollard, R., & Gómez, M. Á. (2015). Validity of the established method of quantifying home advantage in soccer. Journal of Human Kinetics, 45(1), 7–8. Search in Google Scholar

Pudovkin, D., & Zenkova, E. (2021). Influence of tournament design on the competitive balance of professional sports leagues: Evidence from the Russian Premier League. International Journal of Sport Finance, 16(1), 1–21. Search in Google Scholar

Rasmussen, R. V., & Trick, M. A. (2008). Round-robin scheduling–a survey. European Journal of Operational Research, 188(3), 617–636. Search in Google Scholar

Ricciardi, F., De Bernardi, P., & Cantino, V. (2020). System dynamics modeling as a circular process: The smart commons approach to impact management. Technological Forecasting and Social Change, 151, 119799. Search in Google Scholar

Robles-Palazón, F. J., López-Valenciano, A., De Ste Croix, M., Oliver, J. L., García-Gómez, A., Sainz de Baranda, P., & Ayala, F. (2022). Epidemiology of injuries in male and female youth football players: A systematic review and meta-analysis. Journal of Sport and Health Science, 11(6), 681–695. Search in Google Scholar

Rodríguez, M. S., Ortega Alvarez, A. M., & Arango-Vasquez, L. (2022). Worldwide trends in the scientific production on soccer players market value, a bibliometric analysis using bibliometrix R-tool. Team Performance Management: An International Journal, 28(5/6), 415–440. Search in Google Scholar

Ryvkin, D., & Ortmann, A. (2008). The predictive power of three prominent tournament formats. Management Science, 54(3), 492–504. Search in Google Scholar

Sarlis, V., & Tjortjis, C. (2020). Sports analytics—Evaluation of basketball players and team performance. Information Systems, 93, 101562. Search in Google Scholar

Scarf, P. A., & Bilbao, M. (2006). The optimal design of sporting contests. Salford Business School Technical Report, 320(06). Search in Google Scholar

Scarf, P. A., Yusof, M. M., & Bilbao, M. (2009). A numerical study of designs for sporting contests. European Journal of Operational Research, 198(1), 190–198. Search in Google Scholar

Scarf, P. A., & Yusof, M. M. (2011). A numerical study of tournament structure and seeding policy for the soccer World Cup Finals. Statistica Neerlandica, 65(1), 43–57. Search in Google Scholar

Schokkaert, J., Swinnen, J. (2013). It is harder, not easier to predict the winner of the Champions League. doi: http://dx.doi.org/10.2139/ssrn.2280282 Search in Google Scholar

Siegal, A., & Wagner, M. R. (2021). Practical Business Statistics. London: Academic Press. Search in Google Scholar

Smith, A. C., & Widdop, P. (2020). The impact of competition structure and format on player welfare: A case study of the professional rugby league competition in England. Journal of Sport and Social Issues, 44(3), 205–222. Search in Google Scholar

Sors, F., Grassi, M., Agostini, T., & Murgia, M. (2021). The sound of silence in association football: Home advantage and referee bias decrease in matches played without spectators. European Journal of Sport Science, 21(12), 1597–1605. Search in Google Scholar

Sziklai, B. R., Biró, P., & Csató, L. (2022). The efficacy of tournament designs. Computers & Operations Research, 144, 10582. Search in Google Scholar

Taleb, M., Khalid, R., Ramli, R., Ghasemi, M. R., & Ignatius, J. (2022). An integrated biobjective data envelopment analysis model for measuring returns to scale. European Journal of Operational Research, 296(3), 967–979. Search in Google Scholar

Taleb, M., Khalid, R., Ramli, R., & Nawawi, M. K. M. (2023). An integrated approach of discrete event simulation and a non-radial super efficiency data envelopment analysis for performance evaluation of an emergency department. Expert Systems with Applications, 220, 119653. Search in Google Scholar

van Doornmalen, J., Hojny, C., Lambers, R., & Spieksma, F. C. R. (2023). Integer programming models for round robin tournaments. European Journal of Operational Research. doi: https://doi.org/10.1016/j.ejor.2023.02.017 Search in Google Scholar

Vu, T., Altman, A., & Shoham, Y. (2009, May). On the complexity of schedule control problems for knockout tournaments. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (pp. 225–232). Hungary: International Foundation for Autonomous Agents and Multiagent Systems. Search in Google Scholar

Wallace, J. L., & Norton, K. I. (2014). Evolution of World Cup soccer final games 1966–2010: Game structure, speed and play patterns. Journal of Science and Medicine in Sport, 17 (2), 223–228. Search in Google Scholar

Wright, M. (2014). OR analysis of sporting rules–A survey. European Journal of Operational Research, 232(1), 1–8. Search in Google Scholar

Yusof, M. M., Fauzee, M. S. O., & Latif, R. A. (2014, July). Forecasting a winner for Malaysian Cup 2013 using soccer simulation model. In Proceedings of the 21st National Symposium on Mathematical Sciences (SKSM21): Germination of Mathematical Sciences Education and Research towards Global Sustainability (pp. 1153–1159). AIP Publishing. Search in Google Scholar

Yusof, M. M., Sulaiman, T., Khalid, R., Hamid, M. S. A., & Mansor, R. (2014, December). Rating competitors before tournament starts: How it’s affecting team progression in a soccer tournament. In International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014): Proceedings of the 3rd International Conference on Quantitative Sciences and Its Applications (Vol. 1635, pp. 665–670). AIP Publishing. Search in Google Scholar

Yusof, M.M., Khalid, R., Sulaiman, T., Hamid, M.S.A., Mansor, R., & Rosli, N.C (2016). Ecompare of soccer tournament structures. International Review of Management and Marketing, 6(8), 294–298. Search in Google Scholar

Zeigler, B. P., Muzy, A., & Kofman, E. (2019). Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations. London: Academic Press. Search in Google Scholar

Zhong, Y., & Hong, L. J. (2022). Knockout-tournament procedures for large-scale ranking and selection in parallel computing environments. Operations Research, 70(1), 432–453. Search in Google Scholar

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