TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 8:43 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Southern University and Houston. It reflects the competitive performance of each team in the initial portion of the contest.
The market resolves based on the first half outcome of the Southern University vs Houston college football game scheduled for September 12, 2026. If Houston scores more points than Southern University in the first half, the 'Houston wins 1st Half' market resolves to Yes. If Southern University scores more points than Houston in the first half, the 'Southern University wins 1st Half' market resolves to Yes. If both teams score the same number of points in the first half, the 'Tie 1st Half' market resolves to Yes. For all markets, only points scored during the first half count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi is not affiliated with the governing league, and all trademarks belong to their respective owners.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result is based on the official game record for who led at the end of the first half, and once that data is publicly available and unambiguous, the market will close and payouts will follow according to the final prices.
Key player injuries, coaching strategies, or early-game momentum shifts could all influence this market as the game approaches. Any public updates—coach comments, injury reports, or even weather conditions affecting early play—may cause traders to adjust their positions. Additionally, broader betting trends or analyst predictions released close to game time can create waves of buying or selling, especially if they suggest a sudden shift in expected first-half performance.