{"id":"https://openalex.org/W4415125233","doi":"https://doi.org/10.1109/icmlt65785.2025.11193322","title":"A Framework for Forecasting Professional Tennis Matches Using ATP Statistics and Betting Odds","display_name":"A Framework for Forecasting Professional Tennis Matches Using ATP Statistics and Betting Odds","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4415125233","doi":"https://doi.org/10.1109/icmlt65785.2025.11193322"},"language":"en","primary_location":{"id":"doi:10.1109/icmlt65785.2025.11193322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlt65785.2025.11193322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Machine Learning Technologies (ICMLT)","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/A5119975649","display_name":"Lorenzo Trucco","orcid":null},"institutions":[{"id":"https://openalex.org/I2799440398","display_name":"Rochester Institute of Technology Croatia","ror":"https://ror.org/03jgxzm03","country_code":"HR","type":"education","lineage":["https://openalex.org/I2799440398"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Lorenzo Trucco","raw_affiliation_strings":["RIT Croatia,Zagreb,Croatia,10000"],"affiliations":[{"raw_affiliation_string":"RIT Croatia,Zagreb,Croatia,10000","institution_ids":["https://openalex.org/I2799440398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013432227","display_name":"Domagoj Toli\u0107","orcid":"https://orcid.org/0000-0002-0988-889X"},"institutions":[{"id":"https://openalex.org/I2799440398","display_name":"Rochester Institute of Technology Croatia","ror":"https://ror.org/03jgxzm03","country_code":"HR","type":"education","lineage":["https://openalex.org/I2799440398"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Domagoj Toli\u0107","raw_affiliation_strings":["RIT Croatia,Dubrovnik,Croatia,20000"],"affiliations":[{"raw_affiliation_string":"RIT Croatia,Dubrovnik,Croatia,20000","institution_ids":["https://openalex.org/I2799440398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119975649"],"corresponding_institution_ids":["https://openalex.org/I2799440398"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38523692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"297"},"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":0.9448000192642212,"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/odds","display_name":"Odds","score":0.6395999789237976},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.3149999976158142},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.30709999799728394},{"id":"https://openalex.org/keywords/summary-statistics","display_name":"Summary statistics","score":0.2770000100135803},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.27630001306533813}],"concepts":[{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.6395999789237976},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.522599995136261},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49230000376701355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4902999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45829999446868896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3774999976158142},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2833999991416931},{"id":"https://openalex.org/C32792767","wikidata":"https://www.wikidata.org/wiki/Q1370484","display_name":"Summary statistics","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlt65785.2025.11193322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlt65785.2025.11193322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 10th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2059420114","https://openalex.org/W2101234009","https://openalex.org/W2148143831","https://openalex.org/W2158698691","https://openalex.org/W2295598076","https://openalex.org/W4226177585","https://openalex.org/W4391224509","https://openalex.org/W4400907013","https://openalex.org/W4402402366","https://openalex.org/W4403920448"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,12],"machine":[3],"learning":[4],"framework":[5],"to":[6],"forecast":[7],"professional":[8],"tennis":[9],"outcomes":[10],"using":[11,65],"57,000-match":[13],"dataset":[14],"(2003\u20132024).":[15],"By":[16],"combining":[17],"engineered":[18],"ATP":[19],"statistics":[20],"with":[21],"pre-match":[22,67],"betting":[23],"odds,":[24],"the":[25,49],"model":[26,57],"captures":[27],"both":[28],"player":[29],"dynamics":[30],"and":[31],"market":[32],"expectations.":[33],"Comparative":[34],"results":[35],"show":[36],"that":[37],"ATP-based":[38],"features":[39],"alone":[40],"achieve":[41],"performance":[42],"within":[43],"1-2%":[44],"of":[45,51],"odds-only":[46],"models,":[47],"confirming":[48],"power":[50],"domain-driven":[52],"engineering.":[53],"Our":[54],"final":[55],"XGBoost":[56],"reaches":[58],"nearly":[59],"70%":[60],"accuracy":[61],"on":[62],"unseen":[63],"matches":[64],"only":[66],"data.":[68]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-14T00:00:00"}