{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:15:53Z","timestamp":1760890553321,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031690723"},{"type":"electronic","value":"9783031690730"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-69073-0_21","type":"book-chapter","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T15:03:33Z","timestamp":1727190213000},"page":"235-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Application and Development of the Expected Goals for Hockey Player Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3164-2088","authenticated-orcid":false,"given":"Nikolay","family":"Shmakov","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,25]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Liu, G., Schulte, O.: Deep reinforcement learning in ice hockey for context-aware player evaluation. arXiv preprint arXiv:1805.11088 (2018)","DOI":"10.24963\/ijcai.2018\/478"},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1007\/s10618-017-0496-z","volume":"31","author":"O Schulte","year":"2017","unstructured":"Schulte, O., Khademi, M., Gholami, S., Zhao, Z., Javan, M., Desaulniers, P.: A Markov game model for valuing actions, locations, and team performance in ice hockey. Data Min. Knowl. Disc. 31, 1735\u20131757 (2017). https:\/\/doi.org\/10.1007\/s10618-017-0496-z","journal-title":"Data Min. Knowl. Disc."},{"key":"21_CR3","unstructured":"Schulte, O., Zhao, Z., Javan, M., Desaulnier, P.: Apples-to-Apples: Clustering and Ranking NHL Players Using Location Information and Scoring Impact. In: 2017 Sloan Sports Analytics Conference (2017)"},{"key":"21_CR4","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1146\/annurev-statistics-030718-105202","volume":"6","author":"N Nandakumar","year":"2019","unstructured":"Nandakumar, N., Jensen, S.T.: Historical perspectives and current directions in hockey analytics. Ann. Rev. Stat. Appl. 6, 19\u201336 (2019). https:\/\/doi.org\/10.1146\/annurev-statistics-030718-105202","journal-title":"Ann. Rev. Stat. Appl."},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Johansson, U., Erik, W., Arsalan, S.: How analytics is changing ice hockey. In: Link\u00f6ping Hockey Analytics Conference (2022)","DOI":"10.3384\/ecp191006"},{"key":"21_CR6","unstructured":"Macdonald, B.: An expected goals model for evaluating NHL teams and players. In: Proceedings for MIT Sloan Sports Analytics Conference (2012)"},{"key":"21_CR7","doi-asserted-by":"publisher","unstructured":"Lambrix, P., Carlsson, N.: Performance metrics for ice hockey accounting for goal importance. In: Link\u00f6ping Hockey Analytics Conference, pp. 11\u201325, September 2022. https:\/\/doi.org\/10.3384\/ecp191003","DOI":"10.3384\/ecp191003"},{"key":"21_CR8","unstructured":"Vik, J., Shih, M.C., Jansher, R., Carlsson, N., Lambrix, P.: Not all goals are equally im-portant-a study for the NHL (Extended). In: Presented at 8th MathSport International, p. 1 (2021)"},{"key":"21_CR9","unstructured":"Ryder A.: Shot quality. Work. Pap., Hockey Analytics (2004). http:\/\/hockeyanalytics.com\/Research_files\/Shot_Quality.pdf"},{"key":"21_CR10","unstructured":"Vollman, R.: Hockey Abstract Presents... Stat Shot: The Ultimate Guide to Hockey Analyt-ics. ECW Press (2016)"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Mauboussin, M.J.: The Success Equation: Untangling Skill and Luck in Business, Sports, and Investing. Harvard Business Review Press, Cambridge (2012)","DOI":"10.2469\/cp.v30.n3.1"},{"issue":"1","key":"21_CR12","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1515\/jqas-2012-0001","volume":"9","author":"RB Gramacy","year":"2013","unstructured":"Gramacy, R.B., Jensen, S.T., Taddy, M.: Estimating player contribution in hockey with regularized logistic regression. J. Quant. Anal. Sports 9(1), 97\u2013111 (2013). https:\/\/doi.org\/10.1515\/jqas-2012-0001","journal-title":"J. Quant. Anal. Sports"},{"issue":"2","key":"21_CR13","first-page":"514","volume":"12","author":"A Rathke","year":"2017","unstructured":"Rathke, A.: An examination of expected goals and shot efficiency in soccer. J. Hum. Sport Exercise 12(2), 514\u2013529 (2017)","journal-title":"J. Hum. Sport Exercise"},{"key":"21_CR14","unstructured":"Schuckers, M.E., Lock, D.F., Wells, C., Knickerbocker, C.J., Lock, R.H.: National Hockey League skater ratings based upon all on-ice events: an adjusted minus\/plus probability (AMPP) approach. Unpublished manuscript, vol. 59 (2011)"},{"key":"21_CR15","unstructured":"Tegen E.: The best predictor for future performance is expected goals (2015). http:\/\/11tegen11.net\/2015\/01\/05\/the-best-predictor-for-future-performance-is-expected-goals\/"},{"key":"21_CR16","doi-asserted-by":"publisher","unstructured":"Cavus, M., Biecek, P.: Explainable expected goal models for performance analysis in football analytics. In: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pp. 1\u20139. IEEE, October 2022. https:\/\/doi.org\/10.1109\/DSAA54385.2022.10032440","DOI":"10.1109\/DSAA54385.2022.10032440"},{"key":"21_CR17","unstructured":"Bransen, L., Davis, J.: Women\u2019s football analyzed: Interpretable expected goals models for women. In: Proceedings of the AI for Sports Analytics (AISA) Workshop at IJCAI, vol. 2021, May 2021"},{"key":"21_CR18","unstructured":"Van Haaren, J.: Why would i trust your numbers? On the explainability of expected values in soccer (2021). arXiv preprint arXiv:2105.13778"}],"container-title":["Lecture Notes in Computer Science","Sports Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-69073-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T15:05:42Z","timestamp":1727190342000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-69073-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031690723","9783031690730"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-69073-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"25 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISACE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Sports Analytics Conference and Exhibition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isace2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/formal-analysis.com\/isace\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}