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Home/Live Heisman Odds 2026: Kalshi, Polymarket & Sportsbook Prices

Live Heisman Odds 2026: Kalshi, Polymarket & Sportsbook 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.

Live Prediction Market

2026 Heisman Trophy Winner

Live YES probability per candidate, sourced from Kalshi.

Get $10 free on Kalshi →
Updated 12:08 PM
Live · 37 markets · 14d baseline
Market Read Updated 6 hours ago

Darian Mensah holds a narrow edge at 13%, but this is a remarkably bunched field across the top dozen candidates. The spread from first to twelfth is just 9 percentage points, with five players clustered between 7-8%. This flatness suggests the market is still calibrating uncertainty about the season ahead—no consensus favorite has emerged, and significant probability mass remains distributed across multiple contenders.

Mensah's +5 move over 14 days is the most pronounced gainon the board and comes with the second-highest volume (897K), indicating meaningful conviction behind his rise. Malachi Toney (+4, with the market's heaviest volume at 1.1M) also shows solid upward momentum. Conversely, CJ Carr dropped 1 point despite moderate volume (460K), suggesting some profit-taking or shifting preference away from the #2 spot. Arch Manning and Julian Sayin both held flat, which in a bunched field can signal either stability or a lack of new information driving fresh trades.

The high volume throughout the leaderboard—most candidates trading 600K+ shares—implies active, serious engagement rather than speculative noise. Yet with probabilities so tightly packed and movement modest, the market appears to be saying the Heisman race remains wide open with several plausible paths to victory.

Generated by AI from live Kalshi prices and price movement. Not betting advice.
# Outcome Best book as of Sep 5 Kalshi Polymarket Divergence 14d Move Volume
1 Darian Mensah Miami · QB +550 DraftKings · 15.4% 14% +614 fair 18% −1.4 ▲ 6 969.4K
2 CJ Carr Next: vs Wisconsin, Sep 6 2027 NFL Draft breakout candidates: CJ Carr could become top-10 pick, plus… CBS Sports Headlines · 2d +850 FanDuel · 10.5% 11% +809 fair — +0.5 ▼ 1 469.4K
3 Arch Manning Texas · QB Wilson's 2027 NFL Draft big board: Dante Moore over Arch Manning as… CBS Sports Headlines · 2d +1100 FanDuel · 8.3% 10% +900 fair 13% +1.7 — 607.3K
4 Trinidad Chambliss Ole Miss · QB +2000 FanDuel · 4.8% 8% +1150 fair — +3.2 ▲ 1 609.5K
5 Dante Moore Oregon · QB Wilson's 2027 NFL Draft big board: Dante Moore over Arch Manning as… CBS Sports Headlines · 2d +1200 DraftKings · 7.7% 7% +1329 fair — −0.7 ▲ 1 686.7K
6 Julian Sayin Ohio State · QB +1450 DraftKings · 6.5% 7% +1329 fair 8% +0.5 — 591.6K
7 Malachi Toney Miami · WR +2000 FanDuel · 4.8% 6% +1567 fair — +1.2 ▲ 3 1.2M
8 Jeremiah Smith Ohio State · WR 2027 NFL Draft WR rankings: Former FCS product rises as Jeremiah Smith holds… CBS Sports Headlines · 3d +1700 FanDuel · 5.6% 6% +1567 fair 10% +0.4 — 694.4K
9 John Mateer Oklahoma · QB +3000 FanDuel · 3.2% 5% +1900 fair 5% +1.8 ▲ 1 683K
10 Jayden Maiava USC · QB +2200 FanDuel · 4.3% 5% +1900 fair — +0.7 ▲ 1 675.1K
11 Keelon Russell Alabama · QB East Carolina vs. Alabama CFB picks: Tide with rare low season win total as… CBS Sports Headlines · 4d +3000 FanDuel · 3.2% 4% +2400 fair — +0.8 ▲ 1 686.9K
12 Sam Leavitt LSU · QB +3000 FanDuel · 3.2% 4% +2400 fair — +0.8 — 464.1K
13 Josh Hoover Indiana · QB +2000 FanDuel · 4.8% 4% +2400 fair — −0.8 ▼ 1 395.5K
14 Marcel Reed Texas A&M · QB +3800 DraftKings · 2.6% 4% +2400 fair — +1.4 — 335.7K
15 LaNorris Sellers South Carolina · QB +4100 DraftKings · 2.4% 3% +3233 fair — +0.6 — 577K
16 Gunner Stockton Georgia · QB +3000 FanDuel · 3.2% 3% +3233 fair — −0.2 ▼ 1 283.3K
17 Faizon Brandon Tennessee · QB +7400 DraftKings · 1.3% 2% +4900 fair — +0.7 NEW 658.2K
18 Drew Mestemaker Oklahoma State · QB +6500 DraftKings · 1.5% 2% +4900 fair — +0.5 — 627.3K
19 Kevin Jennings SMU · QB — 2% +4900 fair — — — 498.3K
20 Jaron-Keawe Sagapolutele California · QB — 2% +4900 fair — — — 335K
21 Byrum Brown Auburn · QB +6500 FanDuel · 1.5% 2% +4900 fair — +0.5 — 328.5K
22 Bryce Underwood Michigan · QB +4000 DraftKings · 2.4% 2% +4900 fair — −0.4 — 287.8K
23 Bear Bachmeier BYU · QB +5900 DraftKings · 1.7% 2% +4900 fair — +0.3 NEW 156.5K
24 Will Hammond Texas Tech · QB +4800 DraftKings · 2.0% 2% +4900 fair — −0.0 — 131.9K
25 Demond Williams Jr. Washington · QB +5500 DraftKings · 1.8% 2% +4900 fair — +0.2 — 96.3K
26 Rocco Becht Penn State · QB +6400 DraftKings · 1.5% 2% +4900 fair — +0.5 — 47.1K
27 Ahmad Hardy Missouri · RB — 1% +9900 fair — — — 217K
28 Brendan Sorsby Cincinnati · QB Brendan Sorsby details gambling regret, Texas Tech exit in new documentary… CBS Sports Headlines · 2d — 1% +9900 fair — — — 210.9K
29 Kewan Lacy Ole Miss · RB — 1% +9900 fair — — — 191.9K
30 Devon Dampier Utah · QB +7200 DraftKings · 1.4% 1% +9900 fair — −0.4 NEW 159.7K
31 Bo Jackson Ohio State · RB — 1% +9900 fair — — — 64.1K
32 Austin Mack Alabama · QB — 1% +9900 fair — — — 60.9K
33 Jadan Baugh Florida · RB — 1% +9900 fair — — — 53K
34 Kamario Taylor Mississippi State · QB — 1% +9900 fair — — — 16.6K
35 CJ Bailey NC State · QB — 1% +9900 fair — — NEW 9K
36 William “Pop” Watson III — 1% +9900 fair — — NEW 2.7K
37 Colin Simmons Texas · EDGE — 1% +9900 fair — — NEW 2.6K
Odds movement · last 14 days
0%5%10%15%Aug 22Aug 29Sep 5
Darian Mensah 14%CJ Carr 11%Arch Manning 10%Trinidad Chambliss 8%Dante Moore 7%Julian Sayin 7%
37 candidates
Data via Kalshi · CFTC-regulated event contracts 21+. Gambling problem? Call 1-800-GAMBLER.

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
Jason Ziernicki
Founder at CLEATZ | jason@cleatz.com | Web |  + postsBio ⮌

Jason Ziernicki is the founder of CLEATZ and has worked in the online sports betting industry since 2012. At CLEATZ, he focuses on public betting data, sportsbook line movement, prediction markets and data-driven sports betting tools.

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