TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 7:23 PM EST
Kalshi
These markets evaluate different thresholds of points scored in the second half of a college football game between SMU and Louisville. Each threshold represents a specific level of scoring performance that must be exceeded for the market to resolve positively.
All markets resolve based on the total points scored by both teams combined during the second half (including overtime) of the SMU vs Louisville college football game scheduled for September 19, 2026. Each market has a unique threshold: if the combined second-half points exceed the specified threshold, the market resolves to Yes; otherwise, it resolves to No. For all markets, only points scored in the second half count. If the game is postponed but starts within 48 hours of the original time, trading remains open and resolution uses the final official result. If the game does not start within 48 hours of the scheduled time, all markets resolve at a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Comparing prediction market odds to sportsbook odds reveals how the collective wisdom of traders stacks up against traditional oddsmakers. Often, prediction markets can offer a different perspective, reflecting real-time information and diverse opinions not always captured by sportsbooks. While sportsbooks set initial lines based on statistical models and expert analysis, this market allows for dynamic adjustments based on a wider range of factors and evolving sentiment as the event approaches. It’s common to see discrepancies, especially as new information emerges.
This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the second half of the SMU vs Louisville game will be used to determine whether the total points scored are over or under the threshold established by the market. The resolution will be based on official game statistics, ensuring a transparent and verifiable outcome for all participants. Traders should monitor official sources for the final result.
Several signals or events could significantly move this market before resolution. Key injuries to star players on either the SMU or Louisville teams would likely impact scoring expectations. Changes in weather conditions, particularly if they favor a run-heavy or pass-heavy offense, could also influence the market. Late-breaking news regarding team strategies or coaching decisions could also play a role. Finally, any significant shifts in public sentiment or expert analysis regarding the game’s potential scoring could drive trading activity and price changes in this market.