CS2 match analytics

Model predictions, probabilities and accuracy on real matches

Prediction accuracy

66%

199 of 303 matches

Calibration (Brier)

0.218

the lower, the more honest the probability

Accuracy on favorites

74%

105 of 142 confident

Average favorite odds

1.60

fair, without margin

How we calculate. For each match the model estimates the win probability from map winrate over 3 months, form, head-to-head and rating — using data before the match starts. From the probability we get the "fair odds" (1 / probability): the break-even threshold for a bet. Accuracy and calibration (Brier) are computed on real finished matches. Matches marked value are those where the market odds are above fair, i.e. the bet has positive expected value (edge = odds × probability − 1).

Betting strategies: historical backtest → arrow_forward

Your strategy: Value: edge ≥ 5% · Flat (10 units)its recommendations show up on match pages

All Live · 5 Upcoming Past Prediction hit

Upcoming and live

5

CCT 2026 Europe Series 12 Closed Qualifier

odds 1.90fair

odds 2.11fair

favorite · Enjoyconfidence 53% · fair odds 1.90updating live

NODWIN Clutch Series 13

odds 1.74fair

odds 2.35fair

favorite · GenOneconfidence 58% · fair odds 1.74updating live

Thunderpick World Championship 2026

odds 3.42fair

odds 1.41fair

favorite · Auroraconfidence 71% · fair odds 1.41updating live

ESL Challenger League Season 52 Oceania Cup 3

odds 2.73fair

odds 1.58fair

favorite · Roosterconfidence 63% · fair odds 1.58updating live

Stake Pulse Beat III

odds 2.40fair

odds 1.72fair

favorite · fnaticconfidence 58% · fair odds 1.72updating live

CS2 match analytics and predictions

This section gathers our model's predictions for Counter-Strike 2 matches: each team's chance to win the series, the fair odds and a breakdown of the likely map veto. The prediction is built from pre-match statistics — team winrate on maps over three months, current form, head-to-head and world ranking position.

For finished matches we show the original probability and the actual result, and above it — honest quality metrics: prediction accuracy and calibration (Brier). This shows how much the model can be trusted. "Fair odds" equal one divided by the probability and mean the threshold above which a bet has positive expected value.