How Predictor Network Works

Every prediction starts with Monte Carlo simulation. We run 10,000 bracket or tournament simulations per update, feeding in the ratings that matter for that sport. Each simulation plays out every matchup independently, and the final probabilities reflect how often each outcome occurred across all 10,000 runs.

A probability is only worth anything if it was published before the outcome was known. Every projection here goes up while the event is still undecided and stays up afterwards, so the call and the result can be read side by side. Nothing is revised after the fact.

The third layer is sport-specific analytics. For college basketball, we pull adjusted efficiency ratings from BartTorvik and ESPN BPI. For golf, we use strokes gained data from Data Golf alongside course-fit scoring. For football, we anchor to historical Super Bowl score distributions and current offensive scheme data. Each sport gets a model tuned to the statistics that explain the most variance in that sport.

• BartTorvik/Adjusted efficiency ratings and tempo-free stats for NCAA basketball
• ESPN BPI/Basketball Power Index for team strength comparisons
• Data Golf/Strokes gained metrics, course fit, and historical golf performance
• Expert Sentiment/Podcast and article analysis scored on a bullish/bearish scale with confidence weighting

0 of 5 predictors are live right now. Each entry shows its current status; archived predictors return when their season does.

We track every prediction against actual results. When the tournament ends, the accuracy numbers are final and public. Our goal is to be the most transparent sports prediction platform available: every probability is shown before the event, and every result is measured after.

Predictions are for entertainment purposes only. Past performance does not guarantee future results.