How MyBetAssist Generates and Grades Picks

MyBetAssist uses a controlled five-stage pipeline rather than asking an AI to invent a wager. The application selects an eligible event and real sportsbook market, retrieves current lines, adds available historical and situational context, asks Google Gemini for one structured recommendation, and validates the response before saving it.

What Gemini does

Gemini evaluates the structured event context and returns a recommendation, confidence assessment, supporting factors, risks, and written reasoning. It does not place wagers, alter market lines, decide whether a result counts, or permanently learn from one saved pick by itself.

Validation and grading

Application code verifies the event binding, team or player, market line, response format, and duplicate status. After the event is final, a separate process compares the saved recommendation with a verified score or player statistic and stores WON, LOST, or PUSH.

Transparent performance

Lifetime history and the explicitly stamped Current Model cohort are reported separately. Win rate is wins divided by wins plus losses; PUSH and PENDING outcomes do not change that percentage. Odds-aware ROI and closing-line value are planned measurements for the Current Model cohort.