TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
UAB wins by over 9.5 points
- Kalshi
UAB wins by over 9.5 points - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:19h:43m
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This set of markets tracks the point differential in a college football game between Charlotte and UAB, offering various thresholds for victory margins. Each market evaluates whether the winning team exceeds a specific point margin, providing a range of possible outcomes based on the game's final score.
All markets resolve based on the official final result of the Charlotte vs UAB college football game scheduled for November 7, 2026. For each market, a 'Yes' outcome occurs if the specified team wins by more than the stated point margin. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the updated result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's actual completion status.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on internal models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. If a significant discrepancy exists between this market and sportsbook lines, it could indicate that the crowd believes the sportsbook is mispricing the probability of a particular outcome. However, it’s important to remember that both represent probabilities as perceived by different groups.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Charlotte vs UAB game, as determined by official game statistics, will be used to determine which contracts settle at 100 and which settle at 0. The resolution will reflect the actual difference in scores between the two teams at the end of the game, and contracts predicting the correct spread will pay out to their holders.
Several factors could influence the price movement of this market before Nov 7, 2026. Any significant news regarding player injuries, changes in coaching strategies, or even weather forecasts could shift expectations and impact trading activity. Unexpected announcements about team performance or key player availability would likely cause notable price adjustments. Public sentiment, as reflected in polls or expert analysis, could also play a role, though the market’s price ultimately reflects the collective judgment of traders on Kalshi.