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Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

-team activity in attacking phases of professional football. International Journal of Performance Analysis in Sport , 14, 692–708. Gonçalves, B., Coutinho, D., Santos, S., Lago-Penas, C., Jiménez, S., & Sampaio, J. (2017). Exploring team passing networks and player movement dynamics in youth association football. PloS One , 12, e0171156. Håland, E., Wiig, A., Stålhane, M., & Hvattum, L. (2019). Evaluating passing ability in association football. IMA Journal of Management Mathematics , forthcoming. Kang, B., Huh, M., & Choi, S. (2015). Performance analysis

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Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer

References Audas, R., Dobson, S., & Goddard, J. (2002). The impact of managerial change on team performance in professional sports. Journal of Economics and Business , 54 , 633–650. Cain, M., Law, D., & Peel, D. (2000). The favourite–longshot bias and market efficiency in UK football betting. Scottish Journal of Political Economy , 47 , 25–36. Dixon, M. & Pope, P. (2004). The value of statistical forecasts in the UK association football betting market. International Journal of Forecasting , 20 , 697–711. Dobson, S. & Goddard, J

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Multifactorial analysis of factors influencing elite Australian football match outcomes: a machine learning approach

elite Australian football. Journal of Strength and Conditioning Research, 27 (5), 1272-1279. doi:10.1519/JSC.0b013e318267925f Hagglund, M., Walden, M., Magnusson, H., Kristenson, K., Bengtsson, H., & Ekstrand, J. (2013). Injuries affect team performance negatively in professional football: An 11-year follow-up of the UEFA Champions League injury study. British Journal of Sports Medicine, 47 (12), 738-742. doi:10.1136/bjsports-2013-092215 Hvattum, L. M., & Arntzen, H. (2010). Using ELO ratings for match result prediction in association football

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The training of soccer assistant referees beyond on-field experience: the use of the Interactive Video Test

., & Morya, E. (2002). Flag errors in soccer games: The flash-lag effect brought to real life. Perception, 31, 1205–1210. Catteeuw, P., Helsen, W., Gilis, B., & Wagemans, J. (2009). Decision-making skills, role specificity, and deliberate practice in association football refereeing. Journal of Sports Sciences, 27 (11), 1125-1136. Catteeuw, P., Gilis, B., García-Aranda, J. M., Tresaco, F., Wagemans, J., & Helsen, W. (2010). Offside decision making in the 2002 and 2006 FIFA World Cups. Journal of Sports Sciences, 28 (10), 1027-1032. Ericsson, K. A

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A Rating System For Gaelic Football Teams: Factors That Influence Success

://www.ucc.ie/en/economics/research/workingpaperseries/economicsworkingpaperseries/ Donnegan, D. (2015). The Complete Handbook of Gaelic Games. Dublin: DBA Publications. Elo, A. E. (1978). The Rating of Chess Players, Past and Present. New York: Arco. Gaelic Athletic Association. (2014). GAA Annual Congress Reports (2010-2014). Retrieved December 6, 2015, from http://www.gaa.ie/news/gaa-annual-accounts/ Hvattum, L. M., & Arntzen, H. (2010). Using ELO ratings for match result prediction in association football. International Journal of Forecasting, 26(3), 460-470. http://doi.org/10.1016/j.ijforecast.2009

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Geometric simplification of a new penalty area for football

.A. (2016) A mathematics-based new penalty area in football: tackling diving. Journal of Sports Sciences , 34 (24), 2233-2237. Morris, P.H., & Lewis, D. (2010) Tackling diving: The perception of deceptive intentions in association football (soccer). Journal of Nonverbal Behavior, 34 , 1–13. Scisports (2016) Expected goals model: an alternative approach. http://www.scisports.com/news/2016/expected-goals-model-an-alternative-approach (retrieved August 2018). Sumpter, D. (2017a) The geometry of shooting. https

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Forecasting Soccer Outcome Using Cost-Sensitive Models Oriented to Investment Opportunities

-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge-Based Systems , 36 , 322-339. doi: 10.1016/j.knosys.2012.07.008. Crowder, M., Dixon, M., Ledford, A., & Robinson, M. (2002). Dynamic modelling and prediction of English Football League matches for betting. J ournal Of The Royal Statistical Society: Series D (The Statistician) , 51 (2), 157-168. doi: 10.1111/1467-9884.00308. Dixon, M., & Pope, P. (2004). The value of statistical forecasts in the UK association football betting market. International Journal Of

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Test of a non-rectangular penalty area in the Euro 2016, Copa América 2016 and 2018 World Cup

of deceptive intentions in association football (soccer). Journal of Nonverbal Behavior 34 (1), 1–13. Rogers, S. (2016). Insights into the #WorldCup conversation on Twitter. Retrieved July 2019, from https://blog.twitter.com/2014/insights-into-the-worldcup-conversation-on-twitter Sky Sports (2018). Colombia-England. Retrieved July 2019, from https://www.skysports.com/football/colombia-vs-england/live/385224 The Guardian (2018). Retrieved July 2019, from https://www.theguardian.com/football/live/2018/jul/03/world-cup-2018-colombia

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A comprehensive review of plus-minus ratings for evaluating individual players in team sports

’s probably useless. http://www.soccermetrics.net/player-performance/adjusted-plusminus-deep-analysis , accessed 2018-09-13. Hass, Z. (2017). Division of credit modeling for team sports with an emphasis on NCAA volleyball. Ph.D. thesis, Purdue University. Hass, Z. & Craig, B. (2018). Exploring the potential of the plus/minus in NCAA women’s volleyball via the recovery of court presence information. Journal of Sports Analytics , 4, 285–295. Hvattum, L. & Arntzen, H. (2010). Using ELO ratings for match result prediction in association football

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Network structure of UEFA Champions League teams: association with classical notational variables and variance between different levels of success

-scoring possessions in open play: Comparing the top, in-between and bottom teams from professional soccer league. International Journal of Performance Analysis in Sport , 11 (3), 545–552. Travassos, B., Davids, K., Araújo, D., & Esteves, P. T. (2013). Performance analysis in team sports : Advances from an Ecological Dynamics approach. International Journal of Performance Analysis in Sport , 13 (1), 83–95. Vilar, L., Araújo, D., Davids, K., & Bar-Yam, Y. (2013). Science of winning football: emergent pattern-forming dynamics in association football. Journal of

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