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SUMMARY:TacticAI: an AI assistant for football tactics - Zhe Wang (DeepMin
 d)
DTSTART:20240312T130000Z
DTEND:20240312T140000Z
UID:TALK211192@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:Identifying key patterns of tactics implemented by rival teams
 \, and developing effective responses\, lies at the heart of modern footba
 ll. However\, doing so algorithmically remains an open research challenge.
  To address this unmet need\, we propose TacticAI\, an AI football tactics
  assistant developed and evaluated in close collaboration with domain expe
 rts from Liverpool FC. We focus on analysing corner kicks\, as they offer 
 coaches the most direct opportunities for interventions and improvements. 
 TacticAI incorporates both a predictive and a generative component\, allow
 ing the coaches to effectively sample and explore alternative player setup
 s for each corner kick routine and to select those with the highest predic
 ted likelihood of success. We validate TacticAI on a number of relevant be
 nchmark tasks: predicting receivers and shot attempts and recommending pla
 yer position adjustments. The utility of TacticAI is validated by a qualit
 ative study conducted with football domain experts at Liverpool FC. We sho
 w that TacticAI's model suggestions are not only indistinguishable from re
 al tactics\, but also favoured over existing tactics 90% of the time\, and
  that TacticAI offers an effective corner kick retrieval system. TacticAI 
 achieves these results despite the limited availability of gold-standard d
 ata\, achieving data efficiency through geometric deep learning.\n\n"You c
 an also join us on Zoom":https://cam-ac-uk.zoom.us/j/92041617729
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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