TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:21h:04m
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This prediction group covers the Clemson vs. Syracuse college football game scheduled for November 7th. Markets range from simple win/loss predictions to more granular outcomes like point spreads, over/under totals, and team/player statistics.
In the upcoming college football game between Clemson and Syracuse, scheduled for November 7 at 12:00PM ET: This market will resolve to "Clemson" if Clemson win the game. This market will resolve to "Syracuse" if Syracuse 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.
The market resolves to Yes if the specified team wins the Clemson vs Syracuse college football game originally scheduled for November 7, 2026. Should the game be postponed but start within 48 hours of its original scheduled time, the market remains active and resolves based on the official final result. If the game is cancelled or fails to start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not connected to the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Clemson and Syracuse, scheduled for November 7 at 12:00PM ET: This market will resolve to "Clemson" if Clemson win the game. This market will resolve to "Syracuse" if Syracuse 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 reflect a different kind of information than traditional sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven purely by traders’ beliefs. This can lead to discrepancies, as prediction markets may be more sensitive to nuanced information or “inside” knowledge. While sportsbooks are good at incorporating public sentiment, this market can sometimes offer a more accurate forecast, especially as the event approaches and more information becomes available. The current volume of $5,368 suggests strong interest in this event.
Prices on Polymarket and Kalshi can differ due to a variety of factors. 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. Each platform has its own user base, trading dynamics, and liquidity, which can all influence price discovery. For example, Polymarket currently favors Spread: Clemson (-6.5) at 100%, while Kalshi leans toward Clemson wins at 52%. These differences can also arise from varying market structures and the specific types of contracts offered on each platform. Furthermore, differing levels of trading activity on each platform can create temporary price discrepancies as the markets react to new information.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Clemson-Syracuse game, as reported by official sources, will determine the outcome of this market. Traders should monitor official announcements to understand how the final result will be determined. The current volume indicates significant interest in predicting the result of this game, and the market will remain open for trading until the resolution date. The outcome will be verified against credible public sources.
Several signals could significantly impact this market before Nov 7, 2026. Any news regarding key player injuries on either Clemson or Syracuse would likely cause shifts in probabilities. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major shifts in public sentiment could also move the market. Furthermore, updates on team performance in preceding games, or any controversies surrounding the teams, could influence trader behavior. Monitoring these factors will be crucial for anyone looking to capitalize on potential price movements in this market.