TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
North Carolina wins by over 5.5 points
- Kalshi
North Carolina wins by over 5.5 points - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:20h:31m
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This set of markets tracks the potential outcomes of a college football game between North Carolina and UConn, focusing on the margin of victory for either team. Each market corresponds to a specific point differential threshold that must be exceeded for the market to settle in favor of the winning team.
All markets resolve based on the official final result of the North Carolina vs UConn college football game scheduled for November 7, 2026. If North Carolina wins by exceeding the specified point differential listed in the market title, that market resolves to Yes; if UConn wins by exceeding its listed differential, the corresponding UConn market resolves to Yes. If neither team meets their respective threshold, all markets resolve to No. Should the game be postponed but commence within 48 hours of the original start time, all markets remain active and resolve based on the final result. If the game fails to start within this 48-hour window, all markets will resolve to a fair price, taking into account all available information up to that point.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning with but sometimes diverging from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade on their belief about the outcome. If a significant number of traders believe the sportsbook’s line is inaccurate, the price in this market will adjust accordingly. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams’ strengths and weaknesses.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the North Carolina vs UConn game. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. The more traders participate, the more efficiently the market incorporates new information and reflects the collective prediction.
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 North Carolina vs UConn game, as determined by official game statistics, will be compared to the contracts traded on Kalshi. Contracts corresponding to the correct spread will pay out $100, while those representing incorrect spreads will expire worthless. The resolution will be based on the official result reported by the governing body of college basketball.
Several factors could influence the price of this market before the game takes place. Any news regarding injuries to key players on either the North Carolina or UConn teams would likely cause significant movement. Changes in coaching strategies, updated statistical analysis, or even public sentiment shifts—influenced by media coverage or expert opinions—could also impact trading activity. Unexpected weather conditions or any controversies surrounding the game could also contribute to price fluctuations in this market as traders adjust their predictions.