TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 11d:20h:10m
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This group covers various markets related to the November 14, 2026 college football game between Minnesota and Penn State. Markets include the winner of the game, point spreads, and over/under totals for points scored by both teams and in specific quarters, as well as team totals. The markets are based on the official outcome of the game.
In the upcoming college football game between Minnesota and Penn State, originally scheduled for Saturday, November 14, 2026 at 1:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Minnesota" if Minnesota win the game. This market will resolve to "Penn State" if Penn State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The market resolves based on the winner of the Minnesota vs Penn St. college football game scheduled for November 14, 2026. If the game is postponed but begins within 48 hours of the scheduled start time, the market remains open and resolves per the official final result. Cancellations or failures to start within 48 hours result in a fair price. Kalshi clarifies it is not officially connected with the NCAA, and all trademarks are property of their respective owners.
Prediction market odds, like those found on this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief about the outcome. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. The efficiency of this market means odds can change rapidly as new information becomes available, potentially offering value compared to fixed sportsbook lines.
On Polymarket, traders set the odds by directly bidding on outcomes, while Kalshi uses a different mechanism. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. This difference in market mechanics can contribute to price divergence. Additionally, each platform attracts a different user base with varying levels of expertise and information. The volume of trading on each platform also plays a role; lower volume can lead to greater price volatility and wider spreads. Finally, differing opinions on the significance of recent news or team performance can cause traders on each platform to value outcomes differently, resulting in price discrepancies.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Minnesota vs. Penn State game. The winning outcome will be determined by the final score, as reported by official sources. This market provides a way to forecast the result of the game and profit from accurate predictions, but the final outcome is determined by the actual game result and verified against credible public sources.
Several factors could significantly impact this market. Any major news regarding injuries to key players on either the Minnesota or Penn State teams would likely cause price fluctuations. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also influence predictions. Significant shifts in public sentiment, perhaps driven by media coverage or expert analysis, could also move the market. Finally, any late-breaking information about team strategies or coaching decisions could lead to traders adjusting their positions and altering the probabilities reflected in this market.