{"id":"https://openalex.org/W3033418734","doi":"https://doi.org/10.3390/s20113213","title":"Predicting Wins, Losses and Attributes\u2019 Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis","display_name":"Predicting Wins, Losses and Attributes\u2019 Sensitivities in the Soccer World Cup 2018 Using Neural Network Analysis","publication_year":2020,"publication_date":"2020-06-05","ids":{"openalex":"https://openalex.org/W3033418734","doi":"https://doi.org/10.3390/s20113213","mag":"3033418734","pmid":"https://pubmed.ncbi.nlm.nih.gov/32517063"},"language":"en","primary_location":{"id":"doi:10.3390/s20113213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113213","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3213/pdf?version=1591359811","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/20/11/3213/pdf?version=1591359811","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064227340","display_name":"Amr Hassan","orcid":"https://orcid.org/0000-0002-2053-7644"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Amr Hassan","raw_affiliation_strings":["Department of Sports Training, Faculty of Sports Education, Mansoura University, Mansoura 35516, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-2053-7644","affiliations":[{"raw_affiliation_string":"Department of Sports Training, Faculty of Sports Education, Mansoura University, Mansoura 35516, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016290323","display_name":"Abdel-Rahman Akl","orcid":"https://orcid.org/0000-0001-8292-3113"},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abdel-Rahman Akl","raw_affiliation_strings":["Faculty of Physical Education-Abo Qir, Alexandria University, Alexandria 21913, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-8292-3113","affiliations":[{"raw_affiliation_string":"Faculty of Physical Education-Abo Qir, Alexandria University, Alexandria 21913, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072611879","display_name":"Ibrahim Hassan","orcid":"https://orcid.org/0000-0002-7582-5133"},"institutions":[{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim Hassan","raw_affiliation_strings":["Faculty of Physical Education, Zagazig University, Zagazig 44519, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7582-5133","affiliations":[{"raw_affiliation_string":"Faculty of Physical Education, Zagazig University, Zagazig 44519, Egypt","institution_ids":["https://openalex.org/I192398990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001786663","display_name":"Caroline Sunderland","orcid":"https://orcid.org/0000-0001-7484-1345"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Caroline Sunderland","raw_affiliation_strings":["Department of Sport Science, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK"],"raw_orcid":"https://orcid.org/0000-0001-7484-1345","affiliations":[{"raw_affiliation_string":"Department of Sport Science, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064227340"],"corresponding_institution_ids":["https://openalex.org/I159247623"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.9398,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.84184741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"11","first_page":"3213","last_page":"3213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9991000294685364,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9987000226974487,"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/T11246","display_name":"Sports injuries and prevention","score":0.9703999757766724,"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/mean-squared-error","display_name":"Mean squared error","score":0.690281867980957},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6783918738365173},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5848202705383301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5583987236022949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424183011054993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4138856530189514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4126332402229309},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.346602201461792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3351151645183563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2100946307182312}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.690281867980957},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6783918738365173},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5848202705383301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5583987236022949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424183011054993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4138856530189514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4126332402229309},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.346602201461792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3351151645183563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2100946307182312},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s20113213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113213","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3213/pdf?version=1591359811","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:32517063","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32517063","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:irep.ntu.ac.uk:39973","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:24d2a26ea98847908ae7c3d04e31136d","is_oa":true,"landing_page_url":"https://doaj.org/article/24d2a26ea98847908ae7c3d04e31136d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 11, p 3213 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/11/3213/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20113213","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7309167","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7309167","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20113213","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113213","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3213/pdf?version=1591359811","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033418734.pdf","grobid_xml":"https://content.openalex.org/works/W3033418734.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W10698543","https://openalex.org/W140372227","https://openalex.org/W282155574","https://openalex.org/W342873746","https://openalex.org/W1589809771","https://openalex.org/W1979764941","https://openalex.org/W1992278969","https://openalex.org/W1996603099","https://openalex.org/W2001529954","https://openalex.org/W2023062030","https://openalex.org/W2026481905","https://openalex.org/W2032864339","https://openalex.org/W2041574817","https://openalex.org/W2051964834","https://openalex.org/W2079511772","https://openalex.org/W2082037986","https://openalex.org/W2086803478","https://openalex.org/W2097645005","https://openalex.org/W2102819512","https://openalex.org/W2120145728","https://openalex.org/W2131329453","https://openalex.org/W2143232741","https://openalex.org/W2158009168","https://openalex.org/W2161213001","https://openalex.org/W2161388276","https://openalex.org/W2162406678","https://openalex.org/W2176177961","https://openalex.org/W2182294807","https://openalex.org/W2187648190","https://openalex.org/W2201626266","https://openalex.org/W2217881754","https://openalex.org/W2291319964","https://openalex.org/W2408462304","https://openalex.org/W2411086185","https://openalex.org/W2412025148","https://openalex.org/W2471147122","https://openalex.org/W2486315377","https://openalex.org/W2511016831","https://openalex.org/W2514295870","https://openalex.org/W2552378445","https://openalex.org/W2562095660","https://openalex.org/W2588409051","https://openalex.org/W2592501716","https://openalex.org/W2625008310","https://openalex.org/W2691309413","https://openalex.org/W2726687689","https://openalex.org/W2737560842","https://openalex.org/W2749023953","https://openalex.org/W2765675356","https://openalex.org/W2766485183","https://openalex.org/W2768445266","https://openalex.org/W2776027807","https://openalex.org/W2810421121","https://openalex.org/W2899020366","https://openalex.org/W2901315836","https://openalex.org/W2906206195","https://openalex.org/W2911213127","https://openalex.org/W2912883135","https://openalex.org/W2932758451","https://openalex.org/W2944435868","https://openalex.org/W2960685216","https://openalex.org/W2966564146","https://openalex.org/W3003416799","https://openalex.org/W3009593016","https://openalex.org/W4214872888","https://openalex.org/W4404658124","https://openalex.org/W6605673169","https://openalex.org/W6635235259","https://openalex.org/W6683036718","https://openalex.org/W6683548542","https://openalex.org/W6696766238","https://openalex.org/W6714759705","https://openalex.org/W6745549864","https://openalex.org/W6762386439"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Predicting":[0],"the":[1,7,41,73,76,87,110,117,138,146,150,209,217,229,235,239,243,255,265],"results":[2,80,88,114,148],"of":[3,9,40,47,72,112,140,167,171,184,189,192,202,238],"soccer":[4],"competitions":[5],"and":[6,28,52,56,79,81,105,144,169,173,186,254,283],"contributions":[8],"match":[10,77,113,142,194],"attributes,":[11,195],"in":[12,17,222],"particular,":[13],"has":[14,135],"gained":[15],"popularity":[16],"recent":[18],"years.":[19],"Big":[20],"data":[21,48,60],"processing":[22],"obtained":[23],"from":[24],"different":[25,99],"sensors,":[26],"cameras":[27],"analysis":[29,285],"systems":[30],"needs":[31],"modern":[32],"tools":[33,62],"that":[34,121],"can":[35,273],"provide":[36,68],"a":[37,69,98,125,154,164,177],"deep":[38,70],"understanding":[39,71],"relationship":[42,74],"between":[43,75],"this":[44],"huge":[45],"amount":[46],"produced":[49],"by":[50,259,276],"sensors":[51],"cameras,":[53],"both":[54],"linear":[55],"non-linear":[57],"data.":[58],"Using":[59],"mining":[61],"does":[63],"not":[64],"appear":[65],"sufficient":[66],"to":[67,83,96,101,279,286],"attributes":[78,120,143],"how":[82],"predict":[84,102],"or":[85,156],"optimize":[86],"based":[89,115,268],"upon":[90],"performance":[91],"variables.":[92],"This":[93],"study":[94],"aimed":[95],"suggest":[97],"approach":[100],"wins,":[103],"losses":[104],"attributes'":[106],"sensitivities":[107],"which":[108],"enables":[109],"prediction":[111],"on":[116],"most":[118,205],"sensitive":[119],"affect":[122],"it":[123],"as":[124,153,199],"second":[126],"step.":[127],"A":[128],"radial":[129,267],"basis":[130],"function":[131,269],"neural":[132,159,270],"network":[133,160,271],"model":[134,272],"successfully":[136],"weighted":[137],"effectiveness":[139],"all":[141],"classified":[145],"team":[147],"into":[149,234],"target":[151],"groups":[152],"win":[155,168],"loss.":[157],"The":[158,204],"model's":[161],"output":[162],"demonstrated":[163],"correct":[165],"percentage":[166],"loss":[170],"83.3%":[172],"72.7%":[174],"respectively,":[175],"with":[176],"low":[178],"Root":[179],"Mean":[180],"Square":[181],"training":[182],"error":[183,188],"2.9%":[185],"testing":[187],"0.37%.":[190],"Out":[191],"75":[193],"19":[196],"were":[197],"identified":[198],"powerful":[200,206],"predictors":[201],"success.":[203],"respectively":[207],"were:":[208],"Total":[210,244],"Team":[211,220,230,245,260],"Medium":[212],"Pass":[213],"Attempted":[214],"(MBA)":[215],"100%;":[216],"Distance":[218,247,257],"Covered":[219,246,258],"Average":[221,231,256],"zone":[223],"3":[224],"(15-20":[225],"km/h;":[226],"Zone3_TA)":[227],"99%;":[228],"ball":[232],"delivery":[233],"attacking":[236],"third":[237],"field":[240],"(TA_DAT)":[241],"80.9%;":[242],"without":[248],"Ball":[249],"Possession":[250],"(Not":[251],"in_Poss_TT)":[252],"76.8%;":[253],"(Game":[261],"TA)":[262],"75.1%.":[263],"Therefore,":[264],"novel":[266],"be":[274],"employed":[275],"sports":[277],"scientists":[278],"adapt":[280],"training,":[281],"tactics":[282],"opposition":[284],"improve":[287],"performance.":[288]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}