A sports-analytics MCP

A betting model you can interrogate.

good-sport is an analyst for sports betting markets, reachable inside Claude, ChatGPT, or Grok. Ask where the edge is, where the smart money is moving, and the part nobody else will show you: how often the model is actually right.

Early access is hand-picked and invite-only while it's small.

predicted actual
It said 64%. They won 60%. Every graded bet, grouped by confidence and checked against what actually happened. Below the line means overconfident, and it shows you the gap instead of hiding it.

How it works

You ask in plain language. It answers with its reasoning.

  1. You Where's the edge on tonight's slate?

    ↳ prop_slate(min_edge: 0.10)

    good-sport A handful of legs clear the bar. On bets like these, the ones with a 10%+ edge, the model has hit 57% where the market priced 53%. Two books are tight against the strongest one, so treat it as a lean, not a lock.

  2. You Is the model overconfident on pitcher strikeouts?

    ↳ model_performance(prop: "pitcher_strikeouts")

    good-sport Yes, about 10 points overconfident across 517 graded bets, and it's the one prop type running a loss. I'd down-weight it until the re-audit lands.

  3. You Where's the smart money moving?

    ↳ smart_money(sport: "all")

    good-sport One side has steamed four points of implied probability since open across five books. That's a market signal, not my edge. I'm flagging it, not endorsing it.

Why it's different

Built to keep itself honest.

57% hit 53% market

Calibration

It grades itself against what happened. On its strongest leans, those clearing a 10%+ edge, it has hit 57% where the market priced 53%. On thin edges it's noise, and it tells you which is which.

MLB 83% NHL 46%

Closing-line value

Did it beat the closing line? That's the textbook sign an edge is real. On MLB, 83% of the time. On NHL, 46%: at market, and it says so.

Tennis +6.2% MLB −2%

It reports the misses

Over the last 30 days, tennis is up 6.2% across 88 graded bets, while MLB game lines came in about break-even. A good analyst shows the flat stretches and the misses, not just the wins.

No new app

Works where you already think.

It's a connector for the assistants you use. Add the server once; ask it anything, anywhere those models go.

good-sport-mcp

See where the edge is, and where it isn't.

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