{"id":"https://openalex.org/W3156546934","doi":"https://doi.org/10.3390/e23040477","title":"Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association","display_name":"Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association","publication_year":2021,"publication_date":"2021-04-17","ids":{"openalex":"https://openalex.org/W3156546934","doi":"https://doi.org/10.3390/e23040477","mag":"3156546934","pmid":"https://pubmed.ncbi.nlm.nih.gov/33920720"},"language":"en","primary_location":{"id":"doi:10.3390/e23040477","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040477","pdf_url":"https://www.mdpi.com/1099-4300/23/4/477/pdf?version=1618885398","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/4/477/pdf?version=1618885398","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100689043","display_name":"Wei J. Chen","orcid":"https://orcid.org/0000-0001-5899-5870"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Jen Chen","raw_affiliation_strings":["Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015771087","display_name":"Mao-Jhen Jhou","orcid":"https://orcid.org/0000-0003-1250-7434"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mao-Jhen Jhou","raw_affiliation_strings":["Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054837076","display_name":"Tian\u2010Shyug Lee","orcid":"https://orcid.org/0000-0001-9280-0643"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tian-Shyug Lee","raw_affiliation_strings":["Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072544119","display_name":"Chi-Jie Lu","orcid":"https://orcid.org/0000-0002-7911-2253"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi-Jie Lu","raw_affiliation_strings":["Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan","Department of Information Management, Fu Jen Catholic University, New Taipei City 242062, Taiwan","Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Information Management, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242062, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072544119"],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":7.0925,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96748174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"4","first_page":"477","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9430999755859375,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/basketball","display_name":"Basketball","score":0.9444981813430786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6214354634284973},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.5456103682518005},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5268574953079224},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4566139876842499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45647484064102173},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.4430873394012451},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43812045454978943},{"id":"https://openalex.org/keywords/team-sport","display_name":"Team sport","score":0.41475021839141846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39223724603652954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3545915186405182},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.24027007818222046},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.22442308068275452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21232372522354126},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10670775175094604}],"concepts":[{"id":"https://openalex.org/C103189561","wikidata":"https://www.wikidata.org/wiki/Q5372","display_name":"Basketball","level":2,"score":0.9444981813430786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214354634284973},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.5456103682518005},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5268574953079224},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4566139876842499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45647484064102173},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.4430873394012451},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43812045454978943},{"id":"https://openalex.org/C2780082397","wikidata":"https://www.wikidata.org/wiki/Q216048","display_name":"Team sport","level":3,"score":0.41475021839141846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39223724603652954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3545915186405182},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.24027007818222046},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.22442308068275452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21232372522354126},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10670775175094604},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e23040477","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040477","pdf_url":"https://www.mdpi.com/1099-4300/23/4/477/pdf?version=1618885398","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33920720","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33920720","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:dbc647d6ee2140479729d0c3fe6b7944","is_oa":true,"landing_page_url":"https://doaj.org/article/dbc647d6ee2140479729d0c3fe6b7944","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 23, Iss 4, p 477 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/4/477/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23040477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 23; Issue 4; Pages: 477","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8073849","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8073849","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23040477","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23040477","pdf_url":"https://www.mdpi.com/1099-4300/23/4/477/pdf?version=1618885398","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6026401049","display_name":null,"funder_award_id":"109-2221-E-030-010-","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7160539585","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8348189570","display_name":null,"funder_award_id":"109-2221-E-030-010","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G978962210","display_name":null,"funder_award_id":"109-2622-E-030-001-CC3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3156546934.pdf","grobid_xml":"https://content.openalex.org/works/W3156546934.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1482021765","https://openalex.org/W1554944419","https://openalex.org/W1678356000","https://openalex.org/W1964480724","https://openalex.org/W1977817761","https://openalex.org/W1984500452","https://openalex.org/W2024594469","https://openalex.org/W2042543992","https://openalex.org/W2056168656","https://openalex.org/W2057997183","https://openalex.org/W2070493638","https://openalex.org/W2070638918","https://openalex.org/W2088794999","https://openalex.org/W2102201073","https://openalex.org/W2104684479","https://openalex.org/W2111072639","https://openalex.org/W2126279216","https://openalex.org/W2139525108","https://openalex.org/W2142827986","https://openalex.org/W2158770403","https://openalex.org/W2166096494","https://openalex.org/W2295598076","https://openalex.org/W2338178179","https://openalex.org/W2488884246","https://openalex.org/W2533151390","https://openalex.org/W2582743722","https://openalex.org/W2606436201","https://openalex.org/W2606665849","https://openalex.org/W2623169439","https://openalex.org/W2767911576","https://openalex.org/W2774210733","https://openalex.org/W2784056902","https://openalex.org/W2790823697","https://openalex.org/W2795003709","https://openalex.org/W2801751024","https://openalex.org/W2900629687","https://openalex.org/W2906865128","https://openalex.org/W2908176506","https://openalex.org/W2908448204","https://openalex.org/W2914888512","https://openalex.org/W2915329514","https://openalex.org/W2963551967","https://openalex.org/W2968473560","https://openalex.org/W2974966258","https://openalex.org/W2978381927","https://openalex.org/W2991307550","https://openalex.org/W2993891764","https://openalex.org/W2995331640","https://openalex.org/W3005160853","https://openalex.org/W3005870519","https://openalex.org/W3007744385","https://openalex.org/W3009487115","https://openalex.org/W3013908145","https://openalex.org/W3016536355","https://openalex.org/W3019986960","https://openalex.org/W3027038927","https://openalex.org/W3028386872","https://openalex.org/W3081231874","https://openalex.org/W3081238306","https://openalex.org/W3102476541","https://openalex.org/W3124990352","https://openalex.org/W3133334320","https://openalex.org/W3215186461","https://openalex.org/W4292671038","https://openalex.org/W4399650065","https://openalex.org/W4399650468","https://openalex.org/W6695356732","https://openalex.org/W6769764061","https://openalex.org/W6771597246","https://openalex.org/W6869374423","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W1568520348","https://openalex.org/W3214407891","https://openalex.org/W3194113117","https://openalex.org/W4287020359","https://openalex.org/W3213194066","https://openalex.org/W268355439","https://openalex.org/W2379570247","https://openalex.org/W2348442067","https://openalex.org/W2357844920","https://openalex.org/W4225966085"],"abstract_inverted_index":{"The":[0,184,231],"sports":[1,17,29,246],"market":[2],"has":[3],"grown":[4],"rapidly":[5],"over":[6],"the":[7,28,45,49,95,104,107,116,140,176,220],"last":[8],"several":[9],"decades.":[10],"Sports":[11],"outcomes":[12,38,247],"prediction":[13,39,145,149,178,221,248],"is":[14,41],"an":[15],"attractive":[16],"analytic":[18],"challenge":[19],"as":[20],"it":[21],"provides":[22],"useful":[23],"information":[24,87,155,174],"for":[25,43,241],"operations":[26],"in":[27,94,115],"market.":[30],"In":[31],"this":[32,234],"study,":[33],"a":[34,165,216],"hybrid":[35,142],"basketball":[36,90,143],"game":[37,131,144,158],"scheme":[40,146],"developed":[42],"predicting":[44],"final":[46,223],"score":[47],"of":[48,106,128,172,222,225,233],"National":[50],"Basketball":[51],"Association":[52],"(NBA)":[53],"games":[54,105,123,227],"by":[55,83],"integrating":[56],"five":[57],"data":[58,101,132],"mining":[59],"techniques,":[60],"including":[61,188],"extreme":[62],"learning":[63],"machine,":[64],"multivariate":[65],"adaptive":[66],"regression":[67],"splines,":[68],"k-nearest":[69],"neighbors,":[70],"eXtreme":[71],"gradient":[72,77],"boosting":[73],"(XGBoost),":[74],"and":[75,92,118,151,156,206,239],"stochastic":[76],"boosting.":[78],"Designed":[79],"features":[80,159],"are":[81,112],"generated":[82],"merging":[84],"different":[85],"game-lags":[86,173,214],"from":[88,102,212],"fundamental":[89],"statistics":[91],"used":[93],"proposed":[96,141],"scheme.":[97],"This":[98],"study":[99,235],"collected":[100],"all":[103,181],"NBA":[108,117,130,226],"2018-2019":[109],"seasons.":[110],"There":[111],"30":[113],"teams":[114],"each":[119],"team":[120,243],"play":[121],"82":[122],"per":[124],"season.":[125],"A":[126],"total":[127],"2460":[129],"points":[133],"were":[134],"collected.":[135],"Empirical":[136],"results":[137],"illustrated":[138],"that":[139,164],"achieves":[147,175],"high":[148],"performance":[150,179],"identifies":[152],"suitable":[153],"game-lag":[154],"relevant":[157,237],"(statistics).":[160],"Our":[161],"findings":[162,232],"suggested":[163],"two-stage":[166],"XGBoost":[167],"model":[168],"using":[169],"four":[170,213],"pieces":[171],"best":[177],"among":[180],"competing":[182],"models.":[183],"six":[185],"designed":[186],"features,":[187],"averaged":[189,192,197,201,204,207],"defensive":[190],"rebounds,":[191,203],"two-point":[193],"field":[194,209],"goal":[195,210],"percentage,":[196,200],"free":[198],"throw":[199],"offensive":[202],"assists,":[205],"three-point":[208],"attempts,":[211],"have":[215],"greater":[217],"effect":[218],"on":[219],"scores":[224],"than":[228],"other":[229,242],"game-lags.":[230],"provide":[236],"insights":[238],"guidance":[240],"or":[244],"individual":[245],"research.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
