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DataMinKnowlDisc(2017)31:1577–1579DOI10.
1007/s10618-017-0530-1Guesteditorial:SpecialissueonsportsanalyticsUlfBrefeld1·AlbrechtZimmermann2Received:29June2017/Accepted:7July2017/Publishedonline:25July2017TheAuthor(s)2017Thisspecialissueisdedicatedtorecentadvancesinsportsanalytics.
Theeldgotitsstartasasomewhatexoticareainthestatisticscommunity(MathSportInternational2017)andeventuallyattractedinterestfromsportsmanagementprofessionals(asimmortalizedbythebook"Moneyball";Lewis2004),culminatinginthe"MITSloanSportsConference"(MITSloanSchoolofManagement2017).
Asinmostotherareasofsociety,increasingamountsofdataarebeingcollectedinallkindsofsports,andautomateddataanalysishasbecomeanimportantandrapidlydevelopingeld.
Hence,moreandmoreresearchersfromdatamining(andmachinelearning)communitieshavejoinedthefrayandspecialisedworkshopseriessuchas"MachineLearningandDataMiningforSportsAnalytics"atECML/PKDD(Davisetal.
2013)or"Large-ScaleSportsAnalytics"atKDD(Luceyetal.
2016)attesttheincreasingpopularityofintelligentdataanalysisforsportsanalytics.
Sportsanalyticsresidesataveryattractiveintersectionofconcreteapplicationproblems(bothinhealthcare/medical/sportsresearchandthevariousindustriescon-nectedtoprofessionalsports),signicantcommercialinterest,largedatacollections,andwide-spreadinterestbythegeneralpublic.
Similartoearlyarticialintelligenceresearchongames,sportsdataofferthemselvesasaninterestingtestbedfordatamin-ingresearchers.
Incontrasttogames—mostofwhichhavebynowbeensolved—theResponsibleeditor:UlfBrefeldandAlbrechtZimmermann.
BAlbrechtZimmermannalbrecht.
zimmermann@unicaen.
frUlfBrefeldbrefeld@leuphana.
de1MachineLearning,LeuphanaUniversity,Lüneburg,Germany2UNICAEN,ENSICAEN,CNRS,GREYC,NormandieUniv,14000Caen,France1231578U.
Brefeld,A.
Zimmermannuniverseofsportsdataisnotdiscrete,andtheelementsofhumanindividualityandhumanerrorhavemoreinuence,increasingthechallenge.
Yetatthesametimemanysportsareconstrainedbyrulesandtheplace(track,eld,climbingwalletc.
)wheretheactiontakesplace,offeringrepeatabilitythatotherreal-lifesettingslack.
Finally,sportsdataarebeingsystematicallycollected,withoutthegaps(ormis-assignedvalues)thatoccurinsensororadministrativedata.
Today,manydifferentstrategies,methods,andtechniqueshavebeenstudiedinthecontextofsportsanalytics,dependingonthetypeofsports,thedata,andthegoalsoftheanalysis.
Consequently,despitesportsanalyticsbeingarathernoveleld,therealreadyexistsaverydiversesetofresearchquestions,approaches,anddatasourcesintheliterature.
Hence,thecollectionofpaperspresentedinthisspecialissueisneithercomprehensivenoranticipatesallfuturetrends,butwehopeitwillprovideastartingpointforenteringthisexcitingarea.
Asweexpected,thespecialissuereceivedmuchinterest,attractingtwentyeightsubmissions,ofwhichtenmadethenalcut.
Thematerialincludedinthiscollectioncoverssportsasdiverseasbaseball(Bendtsenetal.
),basketball(vanBommeletal.
,Vinueetal.
),beachvolleyball(Kautzetal.
),cricket(Salmanetal.
),icehockey(Schulteetal.
),rockclimbing(Heraultetal.
),soccer(Andrienkoetal.
,Kostakisetal.
),andspeedskating(Knobbeetal.
).
Thereportedanalysesareperformedbothonanaggregated(matchactions,refereebiasetc)andonindividuallevels(playermovements,playerdietsetc).
Thecontributionsinthisspecialissuechallengethestandardcomputationmodeloflearningfromindependentlydrawninstancesbyfocusingonspatio-temporalplayertrajectories,regularlyconductedphysiologicalmeasurements,orplayercareerdata.
Technically,theanalysesarecarriedoutusingavarietyofapproaches,suchasdeeplearning,Bayesiannetworks,orarchetypalanalysis.
Incontrasttotypicaldataminingpapers,inmanycasesthedescribedworkisnotlimitedtothedataanalysistechniquebutinvolvestheentireKDDpipelinefromdatapreparation(orevendataacquisition)viatransformation,analysis,uptotheinterpretationofderivedresults.
Somearticlesextendcontributedpapersoftheafore-mentionedworkshops,andtheSloanSportsAnalyticsConference,butthisspecialissuealsocontainsnovelcontributions.
Wethusbelievethatitprovidesatimelysnap-shotofthestate-of-the-artinthisexcitingeld,coveringawiderangeofmethodsandsports.
Wewouldliketothankeverybodywhocontributedtothespecialissue,theauthorsfortheirvaluablecontributions,theguesteditorialboardfordeliveringhigh-qualityreviews,MelissaFearonandtheSpringerteamformakingithappenand,lastbutnotleast,JufFürnkranzforpushingtheideaofaspecialissueforward.
Enjoyreading,UlfBrefeldandAlbrechtZimmermann,29/06/2017123Guesteditorial:Specialissueonsportsanalytics1579ReferencesDavisJ,vanHaarenJ,KaytoueM,ZimmermannA(2013)Machinelearninganddataminingforsportsanalytics.
https://dtai.
cs.
kuleuven.
be/events/MLSA17/LewisM(2004)Moneyball:theartofwinninganunfairgame.
WWNorton&Company,NewYorkLuceyP,MorganS,WiensJ,YueY(2016)KDDworkshoponlarge-scalesportsanalytics.
http://www.
large-scale-sports-analytics.
org/MathSportInternational(2017).
http://www.
mathsportinternational.
comMITSloanSchoolofManagement(2017)MITsloansportsanalyticsconference.
http://www.
sloansportsconference.
com123