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%
Closed: Oct 24, 9:04 PM EST
Kalshi
In the Syracuse versus North Carolina college football contest, investors can speculate on which team will dominate the second quarter. The determination rests purely on which squad accumulates more points in that segment, unrelated to the final game score.
Markets resolve if North Carolina, Syracuse, or neither team (tie) wins the second quarter. Only points scored during the second quarter count. If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve based on the official result. If the game does not start within 48 hours, markets resolve to a fair price. Kalshi is not affiliated with the NCAA; all trademarks belong to their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. If a significant discrepancy exists, it might suggest that the market perceives information differently than sportsbooks, or that one venue has more efficient pricing. It’s important to note that prediction markets often incorporate information more quickly than sportsbooks, potentially leading to more accurate probabilities.
On Kalshi, this market is priced through a continuous, order-book style exchange. Traders buy and sell contracts representing the probability of each outcome – in this case, either Syracuse or North Carolina winning the second quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract fluctuates based on supply and demand, with higher prices indicating a greater perceived chance of that outcome occurring. As more traders participate and new information emerges, the prices adjust, providing a dynamic assessment of the likely winner. This creates a real-time probability forecast based on collective intelligence.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that has the higher score at the end of the second quarter of the Syracuse vs North Carolina game will be declared the winner of this market. The official game results, as reported by a trusted sports data source, will be used to determine the winning outcome. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.
Several factors could influence the price movement of this market before it resolves. Any news regarding player injuries, changes in team strategy, or even weather conditions could impact trader sentiment and shift the odds. Unexpected performance in the first quarter of the game will likely have a significant effect, as will any major in-game events like key fouls or turnovers. Public perception, as reflected in polls or expert analysis, can also contribute to price fluctuations, though the market's own dynamics are the primary driver of price discovery.