No parlays. No lock emojis. No deleted tweets.
College football best bets from a statistical model.
2026 Record: 18-6-1 ATS (1u flat)the-cfb-model.vercel.appJoined July 2026
a gap is where we start, not where we stop. when something actually makes the cut, it goes in the best bets thread with the full reasoning behind it. this chart is just the forecasts
where gaps are useful is telling you where to look. Mizzou/A&M is 10 apart, and A&M’s rating just jumped 12.6 off one game. that’s a team the model is still learning about, so it’s one to watch, not one to bet on
Ridge vs the market for week 6, sorted by how far apart we are
biggest one: we have Ohio State by 23.1, the market has them by 34.5
and no, that doesn’t mean take Maryland
fun one to watch this week: A&M at Mizzou. their rating just jumped and it’s one of the biggest gaps between Ridge and the market on the board. more on that in the next thread
A&M jumped 12.6 after Arkansas, and the scoreboard (34-7) matched how they played snap to snap. if they back it up the rating sticks. if not it’ll come back down some. one game is one game
biggest movers after week 5
we had EMU losing at UMass. instead they won 38-14
Ridge now thinks EMU would beat an average FBS team by 14.8 more points than it did last week. UMass dropped 20
none of this means the ratings are bad. it means some of them are still settling. the teams near the bottom of the chart are the ones most likely to move a lot in the next few weeks
and preseason expectations matter less every year. with the portal and coaching turnover, last year’s team can be a pretty bad guide to this year’s. so early on there’s less to lean on before the games start piling up
where Ridge has everybody heading into week 6
further right = better team. higher up = more confident in that rating
that confidence piece is the part worth explaining, so here’s why we’re more sure about some teams than others 🧵
want the model's number on a game that's not here? reply with the matchup and i'll send it
every forecast and every result is on the site: the-cfb-model.vercel.app
if you're new, here's what ridge is
every play in college football gets an EPA value, basically how much it moved a team's expected points. ridge rates every offense and defense off that instead of final scores, so garbage time and fluky bounces count for a lot less
ratings update every week with a kalman filter, which also tracks how sure it is about each team. early in the year that uncertainty is wide, and it tightens as teams play more games
those ratings feed a second model that projects the margin with a range around it. this season the 80% ranges have caught between 77% and 87% of games each week
then it compares that to the market with the vig taken out. a game only makes the card if:
▸ the edge is 4.5%+
▸ ridge is within 7 points of the line (any further and we're probably missing something)
▸ both starting QBs are confirmed
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