Beat the Bots
We pit multiple AI models head‑to‑head in our NFL picks competition. Each model studies the same games and tries to find edges against the spread — just like you.
What the AIs Look At
- Point spreads and line movement
- Recent team form, injuries, and depth chart changes
- Matchup traits (trenches, explosives, turnovers, pace)
- Situational factors (travel, rest, short week, weather)
- Historical ATS trends and coaching tendencies
Models
ChatGPT (OpenAI)
- Why it might win: Strong general reasoning, good at weighing multiple factors and articulating a coherent case.
- Where it can struggle: Can over‑generalize narratives; may underweight market signals when lines move late.
Gemini (Google)
- Why it might win: Tends to be systematic and conservative; solid at pattern recognition and limiting big mistakes.
- Where it can struggle: Conservative weighting can miss contrarian value and high‑upside angles.
Grok (xAI)
- Why it might win: Bold, contrarian lean at times; can surface overlooked matchup edges.
- Where it can struggle: Aggressive takes can add variance; risk of chasing narratives over market baselines.
Claude (Anthropic)
- Why it might win: Nuanced, careful reasoning; good at balancing qualitative factors like coaching and game script.
- Where it can struggle: Cautious tone can underweight decisive value positions when the line is off.
Scoring
Correct picks earn the confidence points assigned. The season-long leaderboard crowns the highest total. Ties break using standard competition rules.
Everyone — humans and AIs — gets the same slate and picks independently. Weekly standings roll up to a season‑long race. Simple, fair, and fun.