Statsosaurus
Stat research you’d do by hand, run automatically every day.
What it does
Comparing team stats, form, and injuries across a full slate by hand takes hours. This pipeline does the same comparison work automatically — ingesting the data, weighing the factors, and publishing what the model found. Each game gets an assembled brief: injuries with sources, form and streaks, matchup history, line context, and the key statistical narrative. The system re-reads its own graded results on a recurring basis and adjusts factor weights by sport, market type, and confidence band.
AI-driven sports predictions and model picks for NBA, NFL, MLB, NHL, WNBA, college, soccer & tennis. Daily win probabilities, model-detected edges, and research briefs — model outputs, not betting advice.
Statsosaurus ingests team stats, form, injuries, and market prices — weighs the factors, and publishes what the model found as daily research. Every prediction is graded in public. All outputs are model results — not betting advice. Hit rate = wins ÷ (wins + losses), pushes excluded, across 4,739 graded 2★+ model picks (all markets) — a scored subset of the 14000+ games in the dataset , each viewable on the Picks page . Past performance does not guarantee future results. See methodology . How many games the model analyzed, how many predictions it published each day, and how the graded ones resolved. Counts only — the picks themselves are for signed-in members. Win % = wins ÷ (wins +…from statsosaurus.com
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