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 17, 9:22 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Louisville and Syracuse. Each market corresponds to a specific point margin threshold, allowing participants to assess varying levels of performance by either team in the opening half.
All markets resolve based solely on points scored during the first half of the Louisville vs Syracuse college football game scheduled for October 17, 2026. For markets where Louisville wins by a specified margin, resolution occurs if Louisville's first-half point differential exceeds that threshold. Conversely, for markets where Syracuse wins by a specified margin, resolution occurs if Syracuse's first-half point differential exceeds that threshold. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, reflecting equitable settlement under unforeseen circumstances.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the actual point spread achieved in the first half of the Louisville vs Syracuse game. The final point spread will be determined by official game statistics, and the market will pay out to those who correctly predicted the outcome. Traders should monitor official sources for confirmation of the final result, as this will determine the settlement of all contracts.
Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either Louisville or Syracuse would likely cause significant movement. Changes in team performance leading up to the game, such as unexpected wins or losses, could also shift the market. Even broader factors like weather forecasts, which could impact the style of play, or public betting trends observed elsewhere might influence trading activity. Unexpected coaching decisions or strategic adjustments announced before the game could also contribute to price fluctuations.