Sports Analytics.

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Presentation transcript:

Sports Analytics

LottoNL-Jumbo Speed Skating Team Skaters: Sven Kramer, Wouter Olde Heuvel, Kjeld Nuis, … Some 16 Olympic medals + numerous championships

Block Periodization Models Issurin

Taper/Peak Superposition of residual training effects - timing competition Meso-blocks most complex phase Accumulation Transmutation Realisation residuals 12-30 days 12-25 days 8-14 days Issurin

Historical Training Data 15 years of data collected Some 40 athletes, currently nine: seven men, two women Daily training details Morning and afternoon training Six days per week Training type, intensity (subjective), duration, load Roughly bi-weekly physical test Aerobic Anaerobic Competition data Corrected for track-differences

Speed Skating Data duration intensity Kjeld Nuis 1000 m

Research Aims Service LottoNL-Jumbo with insights provide dashboard What factors in the training routines affect performance? load, periodization, sickness, atmospheric conditions detailed optimization, tweaking Personalised training advice Male vs. female Discipline-specific Athlete-specific pre-season tests predictiveness?

The Effect of Training test moment tapering windows

Aspects of Periodization Within each window: count How many exercises? sum (duration, load) How many minutes, …? max (duration, intensity, load) Did you recently …? stddev (duration, intensity, load) How varying was …? Determiners of specific activities just in the morning/afternoon certain intensity ranges (zones) Sum of duration over 14-day period Max of intensity over 2-day period Sum of duration over 21-day period, morning sessions Sum of duration over 21-day period, intensities 6, …, 9 Maximum of load over 7-day period, cycling …

Modelling Training/Response Each variable will have a U-shape Neither too little, nor too much In theory non-linear, in practice only a sample linear model threshold model relative time optimum training load available data

Kjeld Nuis 178 races On average 2.89% above track record Specialises on 1000 m (2.1%) 2015-2016 Dutch champion 1000 m, 1500 m WC Distances: bronze 1000 m, silver 1500 m WC Sprint: ‘silver’ ISU World Cup: gold 1000 m, silver 1500 m

Total sum of load over last 5 days, morning sessions undesired result due to over-training advised upper limit

Maximum intensity 8 or higher in the two days prior to the race advised lower limit

Football, PSV Cooperation with Luc van Agt & Ruud van Elk Tactical data derived from video, proprietary event data from Ortec Sports 52 matches

Tactical Data x/y coordinates of all players Apply geometric algorithms to extract features Statistical analysis of extracted features

Visualisation defenders direction of play

Visualisation midfielders

Visualisation attackers

Visualisation loss of ball

Visualisation gain of ball

Snowboarding

lift lunch bending

Activity Recognition sitting lying standing lift skiing ski tow

Olympic Committee NOC*NSF: Funnels Talent tracking and development Large database of sports results visualisation

Funnel 100m sprint Usain Bolt Churandy Martina

Head to head sports: Elo ratings

Funnel tennis (Elo) Roger Federer David Farrer