AFTER 3 YEARS I FINALLY FINISHED MY TENNISLOCKS BETTING ENGINE WITH THE HELP OF GROK @bot
it runs inside Google Sheets, rebuilds tennis matches mathematically and creates its own sportsbook prices
now it’s in trial runs to find the true hit rate 🎾 explanation in comments
💰 MODEL PICKS:
- TOP [SETS PLAYED 2.5] UNDER | 75.0% | OFFICIAL BET
📊 LEANS:
- Match Winner: Hugo Dellien 64.4% | LEAN
🟡 LOW CONFIDENCE:
- Total Games 19.5: UNDER 56.7% | full-match probability
💰 MODEL PICKS:
- TOP [SETS PLAYED 2.5] UNDER | 75.0% | OFFICIAL BET
📊 LEANS:
- Match Winner: Hugo Dellien 64.4% | LEAN
🟡 LOW CONFIDENCE:
- Total Games 19.5: UNDER 56.7% | full-match probability
Another hint: a 6-1 first set and a 7-6 first set both make the score 1-0…
but they should not necessarily create the same Set 2 probability.
That was one of the doors that finally opened it for me.
If your tennis #model is good at Match Winner but keeps missing Over 2.5 Sets, I think I found the reason.
The fix isn’t “boost P3” or use historical 3-set rates.
It’s deeper than that.
I finally got my model to understand why a match reaches Set 3.
The biggest mistake I found: player strength and match-state behavior are not the same thing.
If you don’t separate them correctly, your model can double-count strength and quietly suppress 3-set probability.
That’s as much of the sauce as I’m giving away 😂 I can’t give it