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Game1, Inc. - Company Overview

Website: https://www.game1.ai/ CEO: Amir Donath | CTO: Yaniv Donath (brothers, co-founders) | Delaware corp

Product

  • AI-driven predictive youth soccer development platform (ages 10 to 16)
  • Models long-term potential, not just current performance
  • ~95% predictive accuracy for pro contracts (top 10 European leagues)
  • No wearables or video: standardized on-field combine + biological age indicators
  • Biological age inputs: height, seated height, weight, chronological age
  • Mental strength assessment (Nik White building it)
  • Algorithm trained on ~decade of European academy data, ages 10 to 16
  • Uses transfer learning for US leagues (MLS, NWSL, NCAA D1/D2/D3)
  • All positions except goalkeepers
  • Started 1.5 yrs ago, algorithm operational ~6 months, expanding to US market
  • No paid US customers yet as of early Feb 2026
  • Outputs: Role-specific interfaces for coaches and parents/players, individualized development pathways and plans based on performance profiles

Testing Format

  • Sprints, agility, dribbling, juggling parkour, small-sided games (2 reps each)

Pricing (Bethesda benchmark)

  • Standard: $150/player/year (2 tests, Game1-supported)
  • Elite: $250/player/year (4 tests, fully Game1-executed)
  • Volume: 200+ players 10% off, 500+ players 25% off

Revenue Channels

  • Self-run camps: Game1 keeps 100%
  • Ambassador camps: fixed fee to ambassador, Game1 keeps rest
  • Private trainers: trainer upcharges clients, Game1 keeps upcharge
  • Colleges: per ID camp fee or yearly access (TBD)
  • Clubs: yearly fee or tack onto existing fees (per club negotiation)
  • No set pricing yet. Free first trial for every new relationship.
  • Discounts for big names (e.g., Earthquakes) for brand leverage

Ambassador Program

  • Fixed fee per event (TBD), potential referral commission for club intros
  • Pilot: 2 to 4 ambassadors in TX, FL, SoCal, 4th TBD

Key Differentiators

  • Biggest objection: how Game1 complements (not replaces) existing tools
  • Mental strength assessment is unique
  • No wearables = lower barrier to adoption
  • Predictive (long-term potential) vs evaluative (current skill)