TOTAL VOLUME:
$154.1b
24H VOL:
$181,481,432
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,827,991,073
405,996
Markets across
40,551
events
MATCHED EVENTS:
4,368
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:05h:13m
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This group covers markets on the Stony Brook vs. Campbell college football game scheduled for November 7th. Markets include predictions on the winner of the game, the point spread, and the total points scored.
In the upcoming college football game between Stony Brook and Campbell, scheduled for November 7 at 1:00PM ET: This market will resolve to "Stony Brook" if Stony Brook win the game. This market will resolve to "Campbell" if Campbell win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Markets resolve to Yes if the indicated team wins the college football game scheduled for November 7, 2026. Should the game be postponed but commence within 48 hours of its original start time, markets remain active and resolve according to the final outcome. If the game is cancelled or does not start within the 48-hour window, markets settle at a fair price. Kalshi emphasizes it has no official ties to the NCAA, and all trademarks are property of their respective holders.
In the upcoming college football game between Stony Brook and Campbell, scheduled for November 7 at 1:00PM ET: This market will resolve to "Stony Brook" if Stony Brook win the game. This market will resolve to "Campbell" if Campbell win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks primarily aim to set lines that balance betting action and ensure profit, while prediction markets incentivize participants to express their genuine beliefs about the outcome of the Stony Brook vs. Campbell game. This market can sometimes offer more accurate probabilities, especially when a large and informed group of traders participates. However, sportsbook odds are readily accessible and provide a useful benchmark for comparison.
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. Prices on Polymarket and Kalshi for the Stony Brook vs. Campbell game can diverge due to several factors. These platforms have different user bases, trading interfaces, and fee structures, all of which can influence price discovery. Furthermore, the liquidity and volume on each platform may vary, leading to temporary price discrepancies. The specific market types offered – for example, a spread versus a simple win/loss outcome – also contribute to differences in how traders assess the probabilities. These factors create distinct market dynamics on each platform.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on the official result of the Stony Brook vs. Campbell game as reported by official sources. Traders will be able to see the final outcome reflected in their positions following verification. The current volume of $6 indicates significant interest in predicting the result of this game.
Several signals could influence this market before Nov 7, 2026. Any significant news regarding team injuries, changes in coaching staff, or unexpected player performance could shift the odds. Game-day weather conditions and even public sentiment, reflected in social media trends, can also play a role. Major upsets in other games involving these teams or their conference could also indirectly impact predictions. Monitoring these factors will be key to understanding potential movements in this market.