Odds context
Cloudbet market prices are used as a betting-market signal and compared against model confidence. Very short prices can be filtered out when public value is weak.
Prediction methodology
How TennisTipz builds AI tennis predictions
Each public prediction is designed to be a research page, not a promise. The model compares current market odds with player strength, recent form, tournament context, surface data, and available news signals before publishing a pick.
Core inputs
Player data
ATP and WTA player rankings, points, 2026 season record, and last-100-days match records are used when available. Missing data is shown as unavailable instead of being invented.
Surface and tournament
Surface labels, tournament level, schedule timing, and match status are used as context. If a surface cannot be verified, the page should not pretend certainty.
AI writing rules
OpenAI-generated summaries must stay grounded in stored data. They should not create fake quotes, promise betting profit, or fabricate missing player statistics. When data is missing, the page should say that the data is unavailable.
Public pick filters
TennisTipz emphasizes ATP and WTA singles, excludes doubles and simulated reality leagues, and prioritizes odds and confidence ranges that are useful for public research. Prediction pages remain informational and should be checked against late news and current sportsbook prices.