Gambeta AI released its updated public tracking figures showing a 57 percent success rate across 125 decided tennis picks for ATP and WTA matches.
The platform evaluates daily tennis fixtures by matching bookmaker odds against statistical variables including recent player form, surface conditions, fatigue levels, and head-to-head records. Public records indicate that out of 125 finalized selections published by the model, 71 succeeded while 54 failed.
Model identifies statistical edge using specific filters
Selections are restricted to matches where the AI model identifies a statistical edge over market pricing. The system enforces a minimum odds threshold of 1.50 for any published pick.
Evaluations factor in specific tournament surfaces such as hard courts, clay, and grass, alongside player scheduling and physical wear from preceding rounds. The platform notes that its models do not guarantee outcomes, functioning instead to isolate value relative to implied probabilities.
Recent Match Results and Performance Tracking
The published tracking log includes a series of recent ATP and WTA outcomes recorded through mid-November 2026. On November 12, the model successfully picked Agustin Tirante to defeat Shevchenko 2-1, alongside Elina Svitolina’s 2-1 victory over Karolina Muchova.
Earlier results logged in the public dataset feature Mannarino’s straight-sets loss to Shevchenko on November 10, and Learner Tien’s three-set win over Jiri Lehecka on November 3. The dataset also captures an incorrect prediction from October 30, when Alexandra Eala fell 1-2 to Diana Shnaider.
Frequently Asked Questions
Where can users view daily tennis predictions?
Predictions appear directly on the platform on match days alongside odds, probabilities, and statistical breakdowns. Access requires no registration or payment.
How reliable are the tennis selections?
The publicly audited record lists 71 correct outcomes out of 125 decided picks, yielding a 57 percent success rate. The developers emphasize that the model targets mathematical value against market odds rather than infallible winners.
What metrics drive the AI model?
The algorithm processes current-season performance data, court surfaces, fatigue indicators, and direct player histories. Only fixtures meeting the 1.50 minimum odds cutoff receive published picks.
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