CFB futures prices move for three reasons: liquidity, which sets how much size a book can absorb before the quote shifts; news, meaning injuries, results and roster changes that reset probabilities; and the model's fair value drifting against the posted price. When those three forces disagree, the gap between price and fair value is where tradeable edge shows up.
On the current national title board, the model's favorite is Notre Dame at 11.7% fair value, yet its best price is 13c on Kalshi. That mismatch, price above model, is exactly the kind of signal the three forces produce.
What does liquidity do to a futures price?
Liquidity is the depth of resting orders. A deep market absorbs a large order without the quote lurching, so the price stays anchored near fair value. A thin market reprices on small flow, which is why longshots wander more than favorites.
The effect is visible in the shape of the board. Favorites carry the most attention and the deepest books, so Notre Dame at 13c and Ohio State at 13c on Kalshi sit close to their model reads of 11.7% and 11.2%. Tail names like Alabama, best 3c against a 2.3% fair value, move on lighter volume and drift more easily.
Liquidity also varies by venue. Kalshi tends to hold the tightest quotes on marquee favorites, while Polymarket often prices the tail and select mid-board names better, LSU among them at 11c.
How does news reprice a title contract?
News is the fastest mover. A result, an injury or a depth-chart change updates the probability distribution directly, and the market repriced almost immediately as orders chase the new information.
The model ingests the same inputs but on its own cadence, converting power ratings and schedule into a fresh fair value. Sometimes the market front-runs the model on breaking news; sometimes the model leads because it has already priced a structural edge the flow has not caught up to.
That timing difference is the source of most short-lived gaps. When news hits a thin contract, the price can overshoot before settling, and the fair value acts as the reference point for whether the move went too far.
What is the model's fair value, and why does it lag or lead?
Fair value is the model's de-vigged title probability for each team, stated as a percentage. It is the yardstick: compare it to the posted cent price and the contract reads rich, cheap or fair.
Right now most favorites trade at or above their model read. Notre Dame (11.7% fair, 13c), Ohio State (11.2%, 13c), LSU (9.5%, 11c) and Indiana (9%, 10c) all price over the model. Texas is the exception, with a 7c best price on Polymarket against a 7.4% fair value, the clearest value on the board.
The model can lead when it prices a schedule or rating edge before the flow reacts, and it can lag when breaking news lands faster than a ratings refresh. Neither price nor model is guaranteed correct; the read is about which side of the gap carries the better expected value.
Where do the three forces collide on the board now?
The favorites sit in a tight band, from Notre Dame at 11.7% down to Texas at 7.4% fair value, a spread of roughly four points across eight contenders. Tight clustering means small price moves swing the value ranking, so the cheapest venue matters.
The chart below shows how narrowly the model separates the top tier, and the second how the posted prices track it. Traders comparing venues can note that Kalshi (code FADE) holds the favorites while Polymarket (code TGSWC) prices LSU, Texas and the tail.
How the posted prices line up against the model
Read the two charts together. Where the cent price tops the fair value percentage, the contract is priced over the model; where it sits below, value leans to the buyer. Texas at 7c against 7.4% is the standout on the cheap side, while Notre Dame and Ohio State at 13c both trade a notch above their reads.
None of this is financial advice, and prices and the model can both be wrong. The framework is simply this: liquidity anchors, news repriced, and fair value keeps score of whether the move made sense.
