Subscribe

See the Edge in Action

GameDay Labs uses cutting edge data science and AI technology to aggregate unstructured data — Media & Analyst Coverage, Fan/Community Chatter, Betting Market Tone, Recent Performance & Form and Other Intangibles — and transform it into clear, actionable signals.

What You Get

    • Access to Members Only league Labs dashboards (sample below): We currently cover 7 leagues: MLB, MLS, NBA, NCAAF, NFL, NHL, UFC.
    • Daily comprehensive updates: We cover every game, every day across all leagues that are in-season. Updates are usually every morning with email notifications sent out following the updates.
    • Recommended plays: We follow the data and highlight recommended plays based on our models decision when assessing the AI driven sentiment analysis versus the odds.
    • Daily consolidated recommended plays: Summarizing all recommended plays for the day across all leagues.
    • Drill down insights and charts: Providing insights into the sentiment, commentary, the sentiment gaps for each game/match and a visual of what the sentiment looks like for each side of a game/match relative to the odds.
    • Information that helps you make decisions: Follow some/all/none of our recommended plays or simply look at the data and make your own decisions.

How It Works

  • Ingest the right data

    We continuously aggregate both structured (player/team stats, historical lines) and unstructured (news, podcasts/transcripts, social, video, injury reports) sources across major leagues.

  • Transform with AI

    Our NLP/ML stack does the heavy lifting:

    • Sentiment extraction at team/player/matchup level
    • Topic/event detection (injuries, coaching changes, lineup shifts)
    • Mapping sentiment to market (predictive relationship to spreads/totals/odds)
    • Noise & bias control to reduce overreaction to hype

  • Output clear signals

    We publish digestible, decision-ready outputs:

    • Sentiment Score (0–100)
    • Value Signal (our take on relative mispricing vs. current line)
    • Confidence (strength + stability of the signal)
    • Explanations & alerts so you can act quickly with context.
Sample Dashboard