On the current college football national title board, Kalshi carries the deeper coverage and sets the best surfaced price on every listed team, from Notre Dame at 13c down to the longshots at 3c. The sharper question is not which site wins overall but which quotes closest to de-vigged fair value on a given contract, and that answer changes team by team.
Which prediction market has better college football prices?
Price quality is measured against fair value, not against the other venue's headline number. The model de-vigs the full board into a clean probability, then the best price is the one that pays least above that probability. A contract quoted higher on one site is only worse if its implied probability drifts further from fair value.
Across the tracked title market, Kalshi is the venue supplying the complete slate and the best consensus price on each team. That makes it the default reference for the board as it stands, with the caveat that coverage and pricing are read contract by contract, not as a blanket verdict on either exchange.
What does the current title board look like?
Notre Dame leads the board at 13c best price on Kalshi against a model fair value of 9.8%. Texas, Ohio State and Oregon cluster next, each at 11c versus a matching 8.3% fair value. Miami follows at 10c against 7.5%, and Indiana at 9c against 6.7%.
The pattern is consistent: prices sit a few cents above fair value across the top tier, the expected footprint of the vig baked into any listed market.
Miami shows the tightest gap in the top group, 10c on a 7.5% fair value. Notre Dame carries the widest, 13c on 9.8%, the largest single premium on the board.
How fair value reframes the comparison
Best price and fair value move together but not in lockstep. Notre Dame's 9.8% fair value tops the model, yet its 13c price is also the highest on the board, so the premium a trader pays is largest there. Texas, Ohio State and Oregon share an identical 8.3% fair value and an identical 11c price, a clean read where the market and model agree on the ordering.
Comparing venues means holding this fair-value column fixed and asking which site's price sits nearest to it. When one exchange lists a team the other does not, there is no comparison to make, only a coverage gap, which is why the board matters as much as the individual quote.
A practical framework for two-venue price checks
Start with the de-vigged fair value, then shop the best available price against it rather than trusting either site's raw number. A promo such as Kalshi FADE or Polymarket TGSWC affects entry cost, not the underlying probability, so it never substitutes for the fair-value read.
Resolution rules, fee schedules and liquidity all feed into why two venues can imply different probabilities for the same team. Prices and the model can both be wrong, and none of this is financial advice; the discipline is simply to buy the number closest to fair value and to know which venue actually lists the contract before comparing at all.
