{"id":"https://openalex.org/W4411383210","doi":"https://doi.org/10.1007/s40747-025-01965-y","title":"OpenSTARLab: open approach for spatio-temporal agent data analysis in soccer","display_name":"OpenSTARLab: open approach for spatio-temporal agent data analysis in soccer","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411383210","doi":"https://doi.org/10.1007/s40747-025-01965-y"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01965-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01965-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01965-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01965-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034093897","display_name":"Calvin Yeung","orcid":"https://orcid.org/0009-0008-3326-8931"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Calvin Yeung","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113223498","display_name":"Kenjiro Ide","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenjiro Ide","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102620405","display_name":"Taiga Someya","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I165953009","display_name":"Tokyo University of the Arts","ror":"https://ror.org/00y809n33","country_code":"JP","type":"education","lineage":["https://openalex.org/I165953009"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiga Someya","raw_affiliation_strings":["Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I165953009","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025530694","display_name":"Keisuke Fujii","orcid":"https://orcid.org/0000-0001-5487-4297"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keisuke Fujii","raw_affiliation_strings":["Center for Advanced Intelligence Project, RIKEN, Osaka, Japan","Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project, RIKEN, Osaka, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025530694"],"corresponding_institution_ids":["https://openalex.org/I4210126580","https://openalex.org/I60134161"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":9.9591,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97516993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9968000054359436,"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":0.9968000054359436,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11705","display_name":"Gambling Behavior and Treatments","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7509127259254456},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.739334225654602},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6547558903694153},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5024914741516113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4655388593673706},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.43913137912750244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4381723403930664},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42337143421173096},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3449912667274475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3347983956336975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509127259254456},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.739334225654602},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6547558903694153},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5024914741516113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4655388593673706},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.43913137912750244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4381723403930664},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42337143421173096},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3449912667274475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3347983956336975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-01965-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01965-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01965-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:615847e440e948e9a26f8dbe77f56726","is_oa":true,"landing_page_url":"https://doaj.org/article/615847e440e948e9a26f8dbe77f56726","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 8, Pp 1-23 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01965-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01965-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01965-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G490300240","display_name":null,"funder_award_id":"PRESTO JPMJPR20CA","funder_id":"https://openalex.org/F4320320907","funder_display_name":"Japan Science and Technology Corporation"},{"id":"https://openalex.org/G6424305312","display_name":null,"funder_award_id":"Intensive Support Program for Young Promising Researchers 24021654","funder_id":"https://openalex.org/F4320321680","funder_display_name":"New Energy and Industrial Technology Development Organization"}],"funders":[{"id":"https://openalex.org/F4320320907","display_name":"Japan Science and Technology Corporation","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320321680","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411383210.pdf","grobid_xml":"https://content.openalex.org/works/W4411383210.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2062424180","https://openalex.org/W2101006788","https://openalex.org/W2134214209","https://openalex.org/W2141532373","https://openalex.org/W2342538221","https://openalex.org/W2524925309","https://openalex.org/W2603804919","https://openalex.org/W2797664359","https://openalex.org/W2806905225","https://openalex.org/W2949269657","https://openalex.org/W2949676527","https://openalex.org/W2967775316","https://openalex.org/W2981841290","https://openalex.org/W2997502221","https://openalex.org/W3010426832","https://openalex.org/W3013975953","https://openalex.org/W3035401278","https://openalex.org/W3035679825","https://openalex.org/W3041944957","https://openalex.org/W3043874967","https://openalex.org/W3095799037","https://openalex.org/W3098369568","https://openalex.org/W3114820637","https://openalex.org/W3131373682","https://openalex.org/W3132362810","https://openalex.org/W3133659836","https://openalex.org/W3134260163","https://openalex.org/W3186413649","https://openalex.org/W3187289530","https://openalex.org/W3208895287","https://openalex.org/W4210589168","https://openalex.org/W4283799824","https://openalex.org/W4285202401","https://openalex.org/W4285256271","https://openalex.org/W4288278931","https://openalex.org/W4290945657","https://openalex.org/W4292787481","https://openalex.org/W4292793888","https://openalex.org/W4306317350","https://openalex.org/W4319301225","https://openalex.org/W4321498077","https://openalex.org/W4381249209","https://openalex.org/W4388936656","https://openalex.org/W4389248327","https://openalex.org/W4390874237","https://openalex.org/W4392157641","https://openalex.org/W4392181096","https://openalex.org/W4392305460","https://openalex.org/W4399830151","https://openalex.org/W4400490710","https://openalex.org/W4401805975","https://openalex.org/W4402514602","https://openalex.org/W4402753598","https://openalex.org/W4402760392","https://openalex.org/W4402904054","https://openalex.org/W4402916111","https://openalex.org/W4402916245","https://openalex.org/W4409289950"],"related_works":["https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4299701476","https://openalex.org/W2904574413","https://openalex.org/W2462007151"],"abstract_inverted_index":{"Abstract":[0],"Sports":[1],"analytics":[2],"has":[3],"become":[4],"both":[5],"more":[6],"professional":[7],"and":[8,30,40,47,71,73,76,126,131,135,166,176,205,209,226,230,243,247],"sophisticated,":[9],"driven":[10],"by":[11,113],"the":[12,35,49,52,60,74,120,138,149,160,173,179,192,196,250],"growing":[13],"availability":[14,62],"of":[15,38,51,63,79,162,178,195,203,252],"detailed":[16],"performance":[17,194],"data.":[18],"This":[19],"progress":[20],"enables":[21],"applications":[22],"such":[23],"as":[24,237],"match":[25],"outcome":[26],"prediction,":[27,147],"player":[28],"scouting,":[29],"tactical":[31],"analysis.":[32,91],"In":[33],"soccer,":[34],"effective":[36],"utilization":[37],"event":[39,64,87,125,146,198,213],"tracking":[41,80,127],"data":[42,65,88,109,128,164,254],"is":[43],"fundamental":[44],"for":[45,89,152,241],"capturing":[46],"analyzing":[48],"dynamics":[50],"game.":[53],"However,":[54],"there":[55],"are":[56],"two":[57],"primary":[58],"challenges:":[59],"limited":[61],"primarily":[66],"restricted":[67],"to":[68,105],"top-tier":[69],"teams":[70],"leagues,":[72],"scarcity":[75],"high":[77],"cost":[78],"data,":[81],"which":[82],"complicates":[83],"its":[84,211],"integration":[85],"with":[86],"comprehensive":[90,232],"Here":[92],"we":[93,185],"propose":[94],"OpenSTARLab":[95,118,235],"(Open":[96],"Spatio-Temporal":[97],"Agent":[98],"Research":[99],"Lab),":[100],"an":[101],"open-source":[102],"framework":[103],"designed":[104],"democratize":[106],"spatio-temporal":[107],"agent":[108],"analysis":[110],"in":[111,201,249],"sports":[112],"addressing":[114],"these":[115],"key":[116],"challenges.":[117],"includes":[119],"Pre-processing":[121],"Package":[122,141,151],"that":[123,142],"standardizes":[124],"through":[129],"Unified":[130],"Integrated":[132],"Event":[133,139],"Data":[134],"State-Action-Reward":[136],"formats,":[137],"Modeling":[140],"implements":[143],"deep":[144],"learning-based":[145],"alongside":[148],"RLearn":[150],"reinforcement":[153,217],"learning":[154,218],"tasks.":[155],"These":[156,190],"technical":[157],"components":[158],"facilitate":[159],"handling":[161],"diverse":[163],"sources":[165],"support":[167],"advanced":[168],"analytical":[169],"tasks,":[170],"thereby":[171],"enhancing":[172,245],"overall":[174],"functionality":[175],"usability":[177],"framework.":[180],"To":[181],"assess":[182],"OpenSTARLab\u2019s":[183],"effectiveness,":[184],"conducted":[186],"several":[187],"experimental":[188],"evaluations.":[189],"demonstrate":[191],"superior":[193],"specific":[197],"prediction":[199,207],"model":[200],"terms":[202],"action":[204,224],"time":[206],"accuracies":[208],"maintained":[210],"robust":[212,239],"simulation":[214],"performance.":[215],"Furthermore,":[216],"experiments":[219],"reveal":[220],"a":[221,238],"trade-off":[222],"between":[223],"accuracy":[225],"temporal":[227],"difference":[228],"loss":[229],"show":[231],"visualization.":[233],"Overall,":[234],"serves":[236],"platform":[240],"researchers":[242],"practitioners,":[244],"innovation":[246],"collaboration":[248],"field":[251],"soccer":[253],"analytics.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}