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Simulating the progression of a professional snooker frame

Author

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  • Collingwood, James A.P.
  • Wright, Michael
  • Brooks, Roger J.

Abstract

This paper is the first to develop a Monte Carlo simulation model of a snooker frame, using post-match video analysis of over 30,000 shots to inform the probability that a top professional will pot a ball on each shot depending on the number of balls remaining on the table and the status of their current visit to the table. We demonstrate that this accurately reflects the progression of a frame at this level, advocating new approaches in viewing a frame as a succession of scoring visits and in using dynamic measures to evaluate player performance. The simulation model also produces a realistic expectation of the probability that the frame will be won from any given position. The model is then used to analyse the effectiveness of the break-off shot and the influence that this has on the outcome of the frame. We also use simulated outcomes to evaluate the choice between taking on a risky pot or playing safe and the merits of alternative approaches to escaping from a snooker.

Suggested Citation

  • Collingwood, James A.P. & Wright, Michael & Brooks, Roger J., 2023. "Simulating the progression of a professional snooker frame," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1286-1299.
  • Handle: RePEc:eee:ejores:v:309:y:2023:i:3:p:1286-1299
    DOI: 10.1016/j.ejor.2022.11.012
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    References listed on IDEAS

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    1. Scarf, Philip & Yusof, Muhammad Mat & Bilbao, Mark, 2009. "A numerical study of designs for sporting contests," European Journal of Operational Research, Elsevier, vol. 198(1), pages 190-198, October.
    2. Kovalchik, Stephanie & Reid, Machar, 2019. "A calibration method with dynamic updates for within-match forecasting of wins in tennis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 756-766.
    3. Song, Kai & Shi, Jian, 2020. "A gamma process based in-play prediction model for National Basketball Association games," European Journal of Operational Research, Elsevier, vol. 283(2), pages 706-713.
    4. Corona, Francisco & Forrest, David & Tena, J.D. & Wiper, Michael, 2019. "Bayesian forecasting of UEFA Champions League under alternative seeding regimes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 722-732.
    5. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta & Ridder, Geert, 2003. "A simulation model for football championships," European Journal of Operational Research, Elsevier, vol. 148(2), pages 268-276, July.
    6. Chater, Mario & Arrondel, Luc & Gayant, Jean-Pascal & Laslier, Jean-François, 2021. "Fixing match-fixing: Optimal schedules to promote competitiveness," European Journal of Operational Research, Elsevier, vol. 294(2), pages 673-683.
    7. R. Allan Freeze, 1974. "An Analysis of Baseball Batting Order by Monte Carlo Simulation," Operations Research, INFORMS, vol. 22(4), pages 728-735, August.
    8. 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.
    9. John M Norman, 2015. "Is the World Professional Snooker Championship fair?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(4), pages 705-706, April.
    10. Jan Lasek & Zoltán Szlávik & Marek Gagolewski & Sandjai Bhulai, 2016. "How to improve a team's position in the FIFA ranking? A simulation study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(7), pages 1349-1368, July.
    11. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
    12. David Frank Percy, 2015. "Strategy selection and outcome prediction in sport using dynamic learning for stochastic processes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1840-1849, November.
    13. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
    14. S R Clarke & J M Norman & C B Stride, 2009. "Criteria for a tournament: the World Professional Snooker Championship," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1670-1673, December.
    15. Collingwood, James A.P. & Wright, Michael & Brooks, Roger J, 2022. "Evaluating the effectiveness of different player rating systems in predicting the results of professional snooker matches," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1025-1035.
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