Open Dataset: Every AI Prediction We've Graded, Downloadable | Predicted Sports
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Open data

Every prediction we grade, downloadable

The whole AI leaderboard is built from predictions we publish before the games and grade after them. Now the raw rows are an open dataset: every line-blind forecast, the final score, the closing market it was graded against, and how far the line moved after each pick. Free, CC BY 4.0, refreshed weekly.

3,015
graded predictions
317
MLB games
38
UFC fights
14
AI models

Get it

Hugging Face

The primary home: dataset viewer, versioned files, one-line load in Python.

Open on Hugging Face โ†’
GitHub

The repo: CSVs plus the grading script that reproduces our leaderboard.

Open on GitHub โ†’
These files refresh weekly. Building something that needs the picks as they happen? We have a live prediction API covering every sport on the site: hello@predictedsports.com

This is a contamination-impossible LLM benchmark. Every event happened after every model's training cutoff. Every prediction carries a timestamp from before first pitch. The models never see a betting line: each one gets the identical stats-only packet and returns probabilities, then the games are played. None of it can leak into training data before the forecast exists, which makes this one of the few time-stamped, leakage-free, real-world forecasting benchmarks anywhere. It grows every day.

And you can check our math. The GitHub repo includes a dependency-free Python script that recomputes the entire leaderboard, record, accuracy, Brier, ROI at the closing price, from the CSVs. Run it and you get the same numbers the board shows. That is the whole idea of this site: graded in public, receipts included.

What's inside

File One row per
mlb_predictions.csv model x graded game
ufc_predictions.csv model x resolved fight
models.csv model

Not included, on purpose: the input packet the models receive, pick-time price series (the published closing-line value is computed from them), scraped expert picks, and anything user-related. Grading conventions are documented on the methodology page and in the dataset card.

Use it, cite it

CC BY 4.0: build anything, link back. If you publish something with it, we will probably link you back.

PredictedSports AI Sports Prediction Index
https://predictedsports.com/open-data

Related: the leaderboard, head-to-heads, and Can AI beat Vegas?.