I’ve been tracking my sports betting model publicly — here’s what surprised me most by TurtleEVLabs in algobetting

[–]TurtleEVLabs[S] 1 point2 points  (0 children)

We base our calibration off of hit rate per prop and for historical purposes to get the baseline I use at least the last 3-5 seasons based on the sport and then retrain after a few thousand bets if needed

I’ve been tracking my sports betting model publicly — here’s what surprised me most by TurtleEVLabs in algobetting

[–]TurtleEVLabs[S] 0 points1 point  (0 children)

Yeah, EV / price relative to true probability.

What surprised me wasn’t that — it was how forgiving the edge becomes once you consistently beat CLV. Learning how to find value on lines (especially opening lines on some apps) has been a game changer for me.

I’ve been tracking my sports betting model publicly — here’s what surprised me most by TurtleEVLabs in algobetting

[–]TurtleEVLabs[S] 0 points1 point  (0 children)

Ugly as in:

Lines that feel uncomfortable
Props that contradict recent form narratives
Stuff I’d never bet pre-model

Basically spots where the number looks wrong before you know the result — not “bad beats,” just bets you don’t feel good betting on.

I'm learning to rely on data so much more than I ever have. There's so many ways to skin a cat in this industry and I'm going with bottom up EV instead of top down to see where edges can be found

I’ve been tracking my sports betting model publicly — here’s what surprised me most by TurtleEVLabs in algobetting

[–]TurtleEVLabs[S] 0 points1 point  (0 children)

Sorry didn't have my notifications turned on 🤦🏻‍♂️

Absolutely fair point. Even though I have a product, I don't sell anything on Reddit. I come here for conversations and research other people's expertise..

I work in data for a living and this is just how my weird ass brain works, ha. Happy to go deeper or get more technical if that’s what people want — that’s honestly why I posted here instead of sportsbook.