{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T17:03:25Z","timestamp":1793639005003,"version":"4.5.1"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T00:00:00Z","timestamp":1745798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Sports Act. Living"],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>This study provides essential information for wheelchair basketball coaches and players to enhance tactical applications and training for improved performance. By examining the latest trends in sports classification and performance factors influencing game outcomes, this study presents a comparative analysis across different levels of international wheelchair basketball play.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>To achieve this objective, major game factors were examined by analyzing descriptive statistics from each year regarding recent trends in sports class composition and the playing time of each class, followed by group difference tests. A total of 209 official game records from 24 teams participating in major international wheelchair basketball tournaments were analyzed. Group differences were tested in terms of sports class composition, playing time, and performance metrics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>First, scoring factors directly affecting game results were compared between groups. The difference test showed that the success rates of 2-point (50.73%) and 3-point (31.41%) shots differed significantly, while the free throw success rate did not. Significant differences were also found in the number of assists (22.94), defensive rebounds (27.38), and steals (5.95). Second, the medal group was compared with the non-medal group. The average sports class composition per quarter was significantly higher in the medal group (1QSC: 14.00, 2QSC: 13.96, 3QSC: 13.98, 4QSC: 13.96) than in the other group (1QSC: 13.89, 2QSC: 13.89, 3QSC: 13.85, 4QSC: 13.88). In terms of playing time differences by class, medal group players showed longer participation: 2.5-point (22:21), 4.0-point (14:46), 3.0-point (19:05), and 1.5-point (16:15). Third, from 2012 to 2022, trends in sports class composition and quarterly playing time have evolved. In 2022, the average playing time of 1.5-point and 4.0-point athletes decreased by about 4 min compared to 2012, while the playing time of 4.5-point athletes increased by approximately 5 min and that of 3.0-point athletes increased by about 2 min.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fspor.2025.1542023","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T05:33:21Z","timestamp":1745818401000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Performance analysis using the classification composition and match records in wheelchair basketball matches"],"prefix":"10.3389","volume":"7","author":[{"given":"Seunghun","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Chang","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"key":"B1","article-title":"International Wheelchair Basketball Federation","year":"2024"},{"key":"B2","first-page":"122","volume-title":"The Global Sporting Arms Race: An International Comparative Study on Sports Policy Factors Leading to International Sporting Success","author":"De Bosscher","year":"2008"},{"key":"B3","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1093\/imaman\/dpaa022","article-title":"An extended regularized adjusted plus-minus analysis for lineup management in basketball using play-by-play data","volume":"32","author":"Grassetti","year":"2021","journal-title":"IMA J Manag Math"},{"key":"B4","first-page":"2898","article-title":"Determination of basketball types with grey analysis","author":"Lin","year":"2010"},{"key":"B5","first-page":"338","article-title":"The study on the construction of WeChat public platform based on basketball teaching","author":"Liu","year":"2016"},{"key":"B6","doi-asserted-by":"publisher","first-page":"225","DOI":"10.2478\/hukin-2018-0030","article-title":"Basketball game-related statistics that discriminate between European players competing in the NBA and in the Euroleague","volume":"65","author":"Paulauskas","year":"2018","journal-title":"J Hum Kinet"},{"key":"B7","doi-asserted-by":"publisher","first-page":"2021","DOI":"10.1519\/JSC.0000000000001964","article-title":"A review of player monitoring approaches in basketball: current trends and future directions","volume":"31","author":"Fox","year":"2017","journal-title":"J Strength Cond Res"},{"key":"B8","doi-asserted-by":"publisher","first-page":"183","DOI":"10.2478\/hukin-2013-0058","article-title":"A decade of euroleague basketball: an analysis of trends and recent rule change effects","volume":"38","author":"\u0160trumbelj","year":"2013","journal-title":"J Hum Kinet"},{"key":"B9","article-title":"National Basketball Association","year":"2021"},{"key":"B10","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1080\/24748668.2015.11868792","article-title":"Performance analysis of elite women\u2019s wheelchair basketball players according to team-strength, playing-time and players\u2019 classification","volume":"15","author":"G\u00f3mez","year":"2015","journal-title":"Int J Perform Anal Sport"},{"key":"B11","volume-title":"The Body Composition of Elite Wheelchair Basketball Players. 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