2026 Heisman Trophy Odds: Live Sportsbook & Prediction Market Prices
The 2026 Heisman Trophy odds are wide open, and CLEATZ tracks the race across sportsbooks and prediction markets in one live board.
Compare the best available sportsbook odds for each Heisman candidate with current prices from Kalshi and Polymarket. CLEATZ converts market probabilities into comparable American odds, highlights differences between sportsbook and prediction-market pricing, and tracks market rank movement and trading volume.
Use the table below to find the latest Heisman favorites, best odds and the biggest disagreements between the markets. Prices update throughout the day as the 2026 college football season approaches.
2026 Heisman Trophy Winner
Live YES probability per candidate, sourced from Kalshi.
CJ Carr holds a narrow plurality at 13%, but this is a genuinely bunched field where the top twelve candidates span just 9 percentage points. Arch Manning sits a close second at 11% despite losing a point over the past two weeks, while Darian Mensah—the third-highest volume trader—has slipped 3 points to 8%. The distribution suggests no consensus favorite and significant uncertainty across the board.
The most notable moves are Mensah's 3-point decline and modest 1-point losses for Manning, Josh Hoover, and Jeremiah Smith. Conversely, the bulk of the field (Carr, Chambliss, Sayin, Moore, Mateer, Maiava, Leavitt, and Stockton) have held steady. Trading volume is robust across the board—Mensah leads at 405.8K, followed by Manning at 361.9K and Moore at 311.9K—indicating serious conviction behind multiple contenders rather than panic selling or a clear rush toward one name.
The flatness of most candidates combined with heavy turnover throughout the market suggests traders are actively positioning and repositioning across a wide tier of contenders rather than moving decisively toward or away from any single player. Mensah's pullback stands out as the only substantial directional shift, but even that modest slip and the persistence of major volume behind him imply ongoing debate rather than a market fade.
| # | Outcome | Best book | Kalshi | Polymarket | Divergence | 14d Move | Volume |
|---|---|---|---|---|---|---|---|
| 1 | CJ Carr | +750 BetMGM · 11.8% | 13% +669 fair | 9% | +1.2 | — | 254.3K |
| 2 | Arch Manning Cam Coleman's viral practice catch underscores the pressure Arch Manning… CBS Sports Headlines · 5d | +800 FanDuel · 11.1% | 11% +809 fair | 9% | −0.1 | ▼ 1 | 362.2K |
| 3 | Darian Mensah | +1200 DraftKings · 7.7% | 8% +1150 fair | 7% | +0.3 | ▼ 3 | 408.2K |
| 4 | Trinidad Chambliss | +1300 DraftKings · 7.1% | 7% +1329 fair | 7% | −0.1 | — | 268.1K |
| 5 | Julian Sayin | +1300 FanDuel · 7.1% | 7% +1329 fair | 8% | −0.1 | — | 205K |
| 6 | Dante Moore | +1200 FanDuel · 7.7% | 6% +1567 fair | 8% | −1.7 | — | 312.1K |
| 7 | John Mateer Too jacked? Why Oklahoma quarterback John Mateer bulking up won't hurt… CBS Sports Headlines · 2d | +2500 Bet365 · 3.8% | 5% +1900 fair | 3% | +1.2 | — | 282K |
| 8 | Josh Hoover | +1600 FanDuel · 5.9% | 5% +1900 fair | 4% | −0.9 | ▼ 1 | 142.7K |
| 9 | Jeremiah Smith College football Top 150 player rankings: Ohio State star Jeremiah Smith… CBS Sports Headlines · 1d | +1500 FanDuel · 6.3% | 4% +2400 fair | 5% | −2.3 | ▼ 1 | 288.7K |
| 10 | Jayden Maiava | +2500 Bet365 · 3.8% | 4% +2400 fair | 3% | +0.2 | — | 223.3K |
| 11 | Sam Leavitt Healthy again, LSU QB Sam Leavitt embraces Louisiana life as he prepares for… CBS Sports Headlines · 3d | +2500 FanDuel · 3.8% | 4% +2400 fair | 4% | +0.2 | — | 180.2K |
| 12 | Gunner Stockton | +2200 FanDuel · 4.3% | 4% +2400 fair | 4% | −0.3 | — | 176K |
| 13 | Marcel Reed | +3000 Bet365 · 3.2% | 4% +2400 fair | 4% | +0.8 | ▼ 1 | 175.8K |
| 14 | Keelon Russell | +3000 BetRivers · 3.2% | 3% +3233 fair | 3% | −0.2 | — | 244.9K |
| 15 | Malachi Toney | — | 3% +3233 fair | 3% | — | — | 221.1K |
| 16 | LaNorris Sellers | — | 2% +4900 fair | 3% | — | — | 310.9K |
| 17 | Jaron-Keawe Sagapolutele | — | 2% +4900 fair | 3% | — | — | 232.4K |
| 18 | Kevin Jennings | — | 2% +4900 fair | 1% | — | — | 217.2K |
| 19 | Drew Mestemaker | — | 2% +4900 fair | 1% | — | — | 213.2K |
| 20 | Bryce Underwood | +5000 BetRivers · 2.0% | 2% +4900 fair | 3% | +0.0 | — | 133.3K |
| 21 | Byrum Brown | — | 2% +4900 fair | 3% | — | — | 113.3K |
| 22 | Will Hammond | — | 2% +4900 fair | 3% | — | ▼ 1 | 98K |
| 23 | Demond Williams Jr. | — | 2% +4900 fair | 3% | — | — | 45.8K |
| 24 | Rocco Becht | — | 2% +4900 fair | 3% | — | — | 25.8K |
| 25 | Brendan Sorsby | — | 1% +9900 fair | 4% | — | — | 209.3K |
| 26 | Ahmad Hardy | — | 1% +9900 fair | 1% | — | — | 170.7K |
| 27 | Kewan Lacy | — | 1% +9900 fair | 1% | — | — | 87.5K |
| 28 | Austin Mack | — | 1% +9900 fair | 3% | — | — | 45.9K |
| 29 | Bo Jackson | — | 1% +9900 fair | 1% | — | — | 43.9K |
What Does Heisman Odds Divergence Mean?
The Divergence column compares a player’s Kalshi probability with the implied probability of the best available sportsbook odds.
A positive number means Kalshi is giving the candidate a higher probability of winning the Heisman than the sportsbook market implies.
A negative number means the best sportsbook odds imply a higher probability than Kalshi.
For example, if a player is available at +3000 at a sportsbook, those odds imply roughly a 3.2% probability. If the same player trades at 5% on Kalshi, CLEATZ would show approximately +1.8 percentage points of positive divergence.
Divergence does not necessarily mean one market is mispriced. Sportsbooks include margin, prediction markets have their own spreads and fees, and liquidity varies by candidate. Instead, it identifies where sportsbooks and prediction-market traders disagree most about the Heisman race.
Those disagreements can be more informative than simply knowing who is currently favored.
How to Read the CLEATZ Heisman Odds Tracker
The CLEATZ Heisman odds board combines traditional sportsbook futures with live prediction-market prices so each candidate can be compared across multiple markets.
Best Book
Best Book shows the best available American odds CLEATZ currently tracks for each Heisman candidate.
The smaller percentage beneath the odds is the sportsbook’s implied probability. For example, +750 corresponds to an implied probability of approximately 11.8%.
Because Heisman futures can vary significantly from sportsbook to sportsbook, comparing prices is especially important in a market where many candidates begin the season at long odds.
Kalshi
The Kalshi column shows the current YES price for each player’s Heisman contract.
A 13% price means the contract is trading at a level corresponding to approximately a 13% market probability.
CLEATZ also converts that probability into fair American odds. A 13% probability, for example, is approximately equivalent to +669.
The fair-odds conversion is provided for comparison purposes and is not a sportsbook quote.
Polymarket
The Polymarket column provides another prediction-market estimate of each player’s probability of winning the Heisman Trophy.
Comparing Kalshi and Polymarket can show whether prediction-market participants broadly agree on a candidate or whether meaningful differences have developed between the two markets.
Divergence
Divergence measures the difference between Kalshi’s probability and the implied probability of the best available sportsbook odds.
Positive divergence means Kalshi is more bullish on the candidate.
Negative divergence means the sportsbook market implies a greater chance of winning.
The larger the absolute difference, the greater the disagreement between the two markets.
14-Day Rank Move
The 14D Rank Move column tracks how each candidate’s position in the Heisman market rankings has changed over the previous 14 days.
A green ▲ indicates the candidate has climbed in the rankings. A red ▼ indicates the candidate has fallen. A dash indicates no ranking change or insufficient historical data.
Rank movement can help identify players gaining or losing momentum before the change becomes obvious from the current odds alone.
Volume
Volume shows the amount of trading activity associated with the prediction-market contract.
Higher volume generally indicates a more actively traded market. Volume provides useful context when evaluating a price move because small, lightly traded markets can move more easily than highly active contracts.
Volume alone should not be interpreted as “sharp” or “public” action because the identity and motivation of individual traders are not known.
Why the Heisman Is a Different Bet
Most futures markets ask “who will win?” The Heisman asks something subtler: “Who will voters decide won?” That distinction is the single biggest reason this market behaves unlike a championship or playoff future, and it’s what creates real edges if you understand it.
The Quarterback Lock
Nine of the top ten contracts on the Heisman board are almost always quarterbacks. This isn’t a coincidence, and it’s not a quirk of any single season — it’s structural. Since 2000, the position has dominated the award to the point that non-QBs effectively need a historically exceptional season and a quiet year at quarterback to win.
The implication for the market: when you see a running back or receiver priced at 6-8%, the price isn’t really about that player’s stat ceiling. It’s about the probability that the season’s top QBs collectively underperform enough to leave a window open. That’s a much lower-probability event than “this RB has a 1,800-yard season,” which is why those prices look pessimistic compared to traditional player props.
The Wide Receiver Drought
Only one wide receiver has won the Heisman in the last 30+ years, DeVonta Smith in 2020. That sample size is small enough to be a near-zero base rate, and the market knows it. According to the official Heisman Trust archive, receivers have been finalists more often than they’ve won, and even the ones who put up generational seasons (Larry Fitzgerald in 2003, Justin Blackmon in 2010, Ja’Marr Chase in 2019) finished behind quarterbacks with weaker box scores.
So when the board prices a top WR at 5-7%, the market isn’t saying “this receiver won’t have a huge year.” It’s saying “even if he does, the voters probably hand it to a QB anyway.” That’s the kind of information that doesn’t surface in sportsbook player-prop markets, where the bet is on the stat line, not the electorate.
Voters Are Part of the Bet
Heisman ballots are cast by 870-ish media members and former winners, regionally distributed. Their tendencies are remarkably stable: they reward winning records over raw counting stats, they favor “Heisman moments” (a signature win, ideally televised on a Saturday night), and they disproportionately weight late-season performance. A player can lead the country in passing yards through October and lose to a QB who has a better November.
When you bet a Heisman future, you’re not just betting on a player’s season. You’re betting on:
- The player putting up the production
- The player’s team winning enough to stay in the conversation
- A signature game landing in the right window
- No other QB on a top-10 team having a louder November
- Voters not splitting between two players from the same conference
That’s five independent conditions. Multiply them out and you understand why even the favorite rarely closes above 25-30%. The Heisman is a probability stack, and the market prices it accordingly.
The Preseason Discount
One last structural quirk worth knowing: Heisman markets always overprice preseason favorites and underprice candidates who haven’t started a college game yet. The brand-name premium fades through August and September as actual production replaces projection. If you’re trading these markets in May or June, the question to ask isn’t “who’s the best player?” — it’s “who’s currently priced for a season they may not deliver?” The answer is usually the recognizable name at the top of the board.
Jason Ziernicki is the founder of CLEATZ, where he analyzes sports betting data, public betting percentages, alt-line trends, and prediction markets across the NFL, NBA, MLB, and college sports.
He is based in Jackson Hole, Wyoming, where he routinely trades on Kalshi each month, hoping to win on weather markets like snowfall, as well as sports and politics.
His work focuses on turning sportsbook data and betting market trends into actionable insights for bettors/traders.