AI-powered sports betting insights from thousands of real models. Built by creators. Backed by data. Bet smarter.
Joined June 2025
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Moddy AI retweeted
Last week’s video I did over on the @Moddy_AI page went 3-0 on picks - I gave out some picks straight from high performing models for NFL Sunday today. Check it out and follow Moddy for more 🫣 5-1 on model picks over there this week.
Moddy AI retweeted
Bryan Woo's strikeout line is what?
My strikeout model on @Moddy_AI pinged this play, so I headed to @UnjuicedApp to dig into it and here's what I found.
Bryan Woo O4.5Ks
He has cleared this line 100% of his last ten games, 85% of his last 20 (17/20), and 71% of the entire season (21/28).
Today he pitches against the Colorado Rockies who have a strikeout rate of 22.4%.
Moddy AI retweeted
New model tool🧵
I’ve been using a tool (tag below) to assist me in building models. I’ve never really dove into the modeling game because it felt daunting with data scattered, not knowing how to put the pieces together to make it a working version.
I’m not a coder so things like this fly over my head.
But after 6+ years doing the traditional EV thing I just don't have the time to grind out a billion plays a day like I used to or the desire to
So when the founder reached out and asked if I wanted to test things out I was intrigued cuz who doesn’t wanna build cool shit⬇️
Moddy AI retweeted
Curious how models perform on the other side of the trade deadline. We didn't really have any decent models running at this time last year, Moddy barely worked back then. But now we have hundreds of them, and it will be fun to see if there is a macro trend, or if the odds just build the adjustments in.
Image is my first MLB model built from start to finish in Moddy. Man we have covered a lot of ground since then.
Moddy AI retweeted
We added pick sharing to the Moddy app, pretty cool! This one’s an underdog but this model seems to be doing well with it. share.moddy.ai/pick/pick.xf7…
Moddy AI retweeted
Tonight at 7:30pm EST I will be doing a live Q&A with the CEO and lead developer of @Moddy_AI - the tool that allows users to build their own data-backed betting models.
Feel free to drop some questions below, or join live and ask any questions you may have regarding this tool!
Moddy AI retweeted
Built an AI model called Ol Softeee.
Saw @jakecrumpler breaking down how Lodolo's stuff was way better than his results showed. Got me thinking: how many pitchers are like that? Nasty whiff rates, elite chase rates, but the K prop market is still sleeping on them.
So I built a model to find that gap. 24 features: whiff rate, chase rate, spin, edge zone command, contact suppression, fastball velocity trends, all crossed against the market's posted K lines.
Backtest: 93.7 score, 31-47% ROI range across 2.4M data points. Those numbers are absurd and won't hold in real life. Backtests never do. But the signal was strong enough to publish it live on moddy.ai today.
8 games on the board. Let's see.
Moddy AI retweeted
Day 3: Harder Barrel is live.
34 picks. 24-10. 70.6% win rate, +17.5% ROI.
The thesis: contact quality predicts hits better than batting average. 34 picks later, it's holding.
What's inside: barrel rate, hard-hit%, exit velo, line drive rate, zone contact rate, crossed against opposing SP contact allowed and platoon splits. No batting average. No BABIP.
You can build a model like this yourself at moddy.ai
Moddy AI retweeted
Update: named it Harder Barrel.
16-4 record so far. +35.7% ROI across 20 settled picks.
Barrel rate and hard-hit% predict batter hits better than batting average. Early results say the thesis holds. More tuning ahead.
Moddy AI retweeted
Andy Pages went 4-for-51 in the postseason. Right now he's slashing .333 with a 58.3% hard-hit rate (95th percentile).
Is this real? I'm building a model to find out. First backtest just came back. More soon.
Moddy AI retweeted
MLB VIEWERSHIP SKYROCKETING 📈
National Exclusive MLB Games = +44% 🤯
It’s the best viewership start in 9 YEARS and a 44% increase from the start to last season.
BASEBALL 📈📈📈
