{"id":"https://openalex.org/W4407693597","doi":"https://doi.org/10.1109/iceic64972.2025.10879733","title":"EloMetrics: Advanced Outcome Prediction for Chess Matches with Elo Ratings and Logistic Regression","display_name":"EloMetrics: Advanced Outcome Prediction for Chess Matches with Elo Ratings and Logistic Regression","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4407693597","doi":"https://doi.org/10.1109/iceic64972.2025.10879733"},"language":"en","primary_location":{"id":"doi:10.1109/iceic64972.2025.10879733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048068115","display_name":"Marta Reyes","orcid":"https://orcid.org/0000-0002-7174-1901"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Ma. Julianna Re-an DG. Reyes","raw_affiliation_strings":["College of Computer Studies, De La Salle University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"College of Computer Studies, De La Salle University,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116309712","display_name":"Eirnan Dicreto","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Eirnan Dicreto","raw_affiliation_strings":["College of Computer Studies, De La Salle University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"College of Computer Studies, De La Salle University,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113794027","display_name":"Eder Gustavo Dias dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Emmanuel Gabriel D. Santos","raw_affiliation_strings":["College of Computer Studies, De La Salle University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"College of Computer Studies, De La Salle University,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116309713","display_name":"Daniella Franxene P. Limbag","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Daniella Franxene P. Limbag","raw_affiliation_strings":["College of Computer Studies, De La Salle University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"College of Computer Studies, De La Salle University,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022474498","display_name":"Gabriel Avelino Sampedro","orcid":"https://orcid.org/0000-0003-2354-4409"},"institutions":[{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Gabriel Avelino Sampedro","raw_affiliation_strings":["Networks and Distributed Systems Laboratory, University of the Philippines Diliman,Quezon City,Philippines"],"affiliations":[{"raw_affiliation_string":"Networks and Distributed Systems Laboratory, University of the Philippines Diliman,Quezon City,Philippines","institution_ids":["https://openalex.org/I87074743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048068115"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":2.9105,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89171363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9715999960899353,"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"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.8089241981506348},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6206195950508118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906344056129456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529649019241333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5138571262359619},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4652259051799774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40367981791496277},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17038705945014954}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8089241981506348},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6206195950508118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906344056129456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529649019241333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5138571262359619},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4652259051799774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40367981791496277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17038705945014954},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic64972.2025.10879733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3010897351","https://openalex.org/W3116860964"],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W3141031773","https://openalex.org/W1595686156","https://openalex.org/W2181392282","https://openalex.org/W2119369480","https://openalex.org/W148937441","https://openalex.org/W2048777860","https://openalex.org/W2153369162","https://openalex.org/W4367046737","https://openalex.org/W3211735916"],"abstract_inverted_index":{"Chessis":[0],"a":[1,39,46,108,189],"complex":[2],"game":[3,124],"characterized":[4],"by":[5],"diverse":[6],"strategies":[7],"and":[8,64,80,98,119,131,145],"time":[9],"constraints,":[10],"making":[11],"quick":[12],"decision-making":[13],"essential":[14],"for":[15,48,169,200],"success.":[16],"While":[17],"Elo":[18,61,93,117,143],"ratings":[19,37,94,118,144],"are":[20,148],"widely":[21],"recognized":[22],"as":[23],"indicators":[24],"of":[25,30,53,67,111,116,151,192],"player":[26],"skill,":[27],"the":[28,51,65,114,135],"predictability":[29],"match":[31],"outcomes":[32,85],"based":[33],"solely":[34],"on":[35,60],"these":[36,103],"remains":[38],"challenge.":[40],"The":[41,72,90,105,138,165,181],"study":[42,139],"aims":[43],"to":[44,158,188],"develop":[45],"model":[47,100,106,166],"accurately":[49],"predicting":[50],"outcome":[52],"chess":[54,152],"games":[55,77,82],"using":[56],"logistic":[57],"regression,":[58],"focusing":[59],"rating":[62],"differences":[63],"number":[66],"moves":[68],"in":[69,122,174,195],"each":[70],"game.":[71],"dataset":[73],"includes":[74],"over":[75],"20,000":[76],"from":[78,184],"lichess.org,":[79],"only":[81],"with":[83],"decisive":[84],"(excluding":[86],"draws)":[87],"were":[88],"used.":[89],"research":[91,186],"categorizes":[92],"into":[95,203],"various":[96],"classes":[97],"evaluates":[99],"performance":[101,160],"across":[102],"ranges.":[104],"achieves":[107],"predictive":[109,193],"accuracy":[110,173],"68.18%,":[112],"demonstrating":[113],"significance":[115],"move":[120,146],"counts":[121],"determining":[123],"results.":[125],"Performance":[126],"metrics,":[127],"including":[128],"precision,":[129],"recall,":[130],"Fl-score,":[132],"further":[133,154,201],"validate":[134],"model's":[136],"effectiveness.":[137],"concludes":[140],"that":[141],"while":[142],"count":[147],"strong":[149],"predictors":[150],"outcomes,":[153],"refinement":[155],"is":[156],"needed":[157],"improve":[159],"at":[161],"high-ranking":[162],"skill":[163],"levels.":[164],"performs":[167],"well":[168],"experts":[170],"but":[171],"loses":[172],"master-level":[175],"games,":[176],"reflecting":[177],"higher":[178],"skill-level":[179],"complexities.":[180],"insights":[182],"gained":[183],"this":[185],"contribute":[187],"deeper":[190],"understanding":[191],"modeling":[194],"chess,":[196],"sug-gesting":[197],"potential":[198],"avenues":[199],"investigation":[202],"additional":[204],"Influencing":[205],"factors.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}