References
- Tippett, J. (2019). The Expected Goals Philosophy: A Game-Changing Way of Analysing Football. Independently published.
- Bertin, M. (2016). Why Soccer’s Most Popular Advanced Stat Kind Of Sucks. Récupéré sur Deadspin: https://deadspin.com/why-soccers-most-popular-advanced-stat-kind-of-sucks-1685563075
- Lucey, P., Bialkowski, A., Monfort, M., Carr, P., & Matthews, I. (2015). “Quality vs Quantity”: Improved Shot Prediction in Soccer using Strategic Features from Spatiotemporal Data. 9th Annual MIT Sloan Sports Analytics Conference.
- Eggels, H., Van Elk, R., & Pechenizkiy, M. (2016). Explaining soccer match outcomes with goal scoring opportunities predictive analytics. Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Riva del Garda, Italy.
- Herbinet, C. (2018). Predicting Football Results UsingMachine Learning Techniques. MEng, Imperial College Of Science, Technology and Medicine.
- Tiippana, T. (2020). How accurately does the expected goals model reflect goalscoring and success in football? Bachelor’s Thesis, Aalto University.
- Pardo, M. (2020). Creating a model for expected goals in football using qualitative player information. Master’s thesis, Universitat Politecnica de Catalunya.
- Bransen, L., & Davis, J. (2021). Women’s football analyzed: interpretable expected goals models for women. AI for Sports Analytics (AISA) Workshop at IJCAI 2021.
- Pickover, C. (2009). The Math Book: From Pythagoras to the 57th Dimension, 250 Milestones in the History of Mathematics. Sterling.
- Cavus, Mustafa; Biecek, Przemyslaw. (2022). Explainable expected goal models for performance analysis in football analytics. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). Shenzhen, China. doi:10.1109/dsaa54385.2022.10032440
- Anzer, G., & Bauer, P. (2021). A Goal Scoring Probability Model for Shots Based on Synchronized Positional and Event Data in Football (Soccer). Frontiers in sports and active living, 3. doi:10.3389/fspor.2021.624475
- Braden, B. (1986, September). The Surveyor’s Area Formula. The College Mathematics Journal, 17(4), 326-337. doi:10.1080/07468342.1986.11972974
- Rathke, A. A. (2017, August 29). An examination of expected goals and shot efficiency in soccer. 12(Proc2). doi:10.14198/jhse.2017.12.proc2.05
- Sandon, F. (1946, July). An experimental introduction to the theory of probability. By J. E. Kerrich Pp. 98. Danish Cr. 8·50. 1946. (Munksgaard, Copenhagen). The Mathematical Gazette, 30(290), 178-179. doi:10.2307/3609116
- Umami, I., Gautama, D. H., & Hatta, H. (2021). implementing the Expected Goal (xG) model to predict scores in soccer matches. IJIIS: International Journal of Informatics and Information Systems, 4(1), 38-54. doi:10.47738/ijiis.v4i1.76