TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 7:23 PM EST
Kalshi
This market tracks which team will score more points in the final quarter of a college football game between SMU and Louisville. It focuses solely on the performance during the last 15 minutes of regulation time, ignoring any overtime periods. The outcome depends entirely on the points scored in that specific segment of the game.
If Louisville wins the 4th quarter (excluding overtime) of the SMU vs Louisville college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If SMU wins the 4th quarter (excluding overtime) of the SMU vs Louisville college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the SMU vs Louisville college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.
Often, prediction market odds reflect the wisdom of the crowd and can differ 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 based on their own analysis. If a significant number of traders believe a sportsbook is undervaluing a particular outcome, they can buy 'yes' contracts, driving up the price and potentially creating an arbitrage opportunity. It's common to see discrepancies, especially as new information emerges and public perception evolves leading up to the event.
This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the 4th quarter of the SMU vs Louisville game will determine the result. The platform will verify the final score against official game results to determine which outcome corresponds to the winning team in the final quarter. It’s important to note that the resolution is based on the official, final result as reported by the governing body of the game, and not on preliminary or unofficial sources.
Several factors could influence trading activity in this market. Any news regarding key player injuries or suspensions for either SMU or Louisville would likely cause significant price movement. Changes in team performance leading up to the game, such as unexpected wins or losses, could also shift expectations. Even broader factors like weather forecasts, which could impact the style of play, might influence traders. Finally, large volume trades from informed participants could also create noticeable shifts in the odds for the SMU vs Louisville game.