🇬🇧Stats Perform
Enterprise
Player tracking + AI analytics — what most pro leagues run on.
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AI in Sports
⚽ Sports
Pro sports adopted AI before most other industries — every Premier League and major-league team now uses computer vision for player tracking, AI for opponent scouting, and ML for injury prediction. Saudi Arabia's massive sports investment (LIV, ProLeague, World Cup 2034) is accelerating MENA adoption. Consumer-side, AI coaches like HomeCourt are democratizing pro-level analysis for amateur athletes. The biggest near-term win for clubs: AI video editing reduces a coach's match-prep time from 8 hours to 30 minutes.
Three quick wins this week
- 1Pilot Veo or Hudl Focus for automated match recording + AI tagging — one camera per pitch
- 2Use Stats Perform or StatsBomb data for opponent scouting reports your coaches actually read
- 3For amateur athletes: HomeCourt or AI-Coach apps give pro-level shot analysis from a phone
All curated AI tools
7 tools that work
🇺🇸Hudl
Paid
Video + analytics platform for teams from amateur to pro.
🇦🇺Catapult Sports
Enterprise
Wearable AI for athlete performance + injury risk monitoring.
🇬🇧StatsBomb
Enterprise
Football data + AI metrics — what serious analysts use beyond Opta.
🇩🇰VEO
Paid
AI-powered cameras that record + tag matches automatically — no operator needed.
🇺🇸HomeCourt
Freemium
Phone-based AI basketball coach — shot analysis used by NBA players.
🇮🇹WyScout
Enterprise
Player scouting database — used by 95% of pro football clubs globally.
Other fields
Got a tool we missed in Sports? Tell ASI-99 and we'll review it — /terminal
