TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 11:28 PM EST
Kalshi
This market focuses on determining which team will score more points in the final quarter of an upcoming college football game between Ohio State and Texas. It provides a way to speculate on the momentum and performance of each team specifically in the last quarter of play, excluding any overtime periods.
If Texas wins the 4th quarter (excluding overtime) of the Ohio St. vs Texas college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Ohio St. wins the 4th quarter (excluding overtime) of the Ohio St. vs Texas college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Ohio St. vs Texas college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially closer to the event. Sportsbooks set initial lines based on their own analysis, but may be influenced by factors like public betting patterns or a desire to balance their book. This market, however, is driven purely by individuals wagering their own capital, incentivizing them to make informed predictions. While sportsbook odds can be a useful data point, they don't always capture the collective intelligence present in a prediction market like this one.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The 4th quarter winner of the Ohio State vs Texas game will be determined based on the official game results. The platform will then verify the outcome against these sources to determine which contracts will pay out. Traders who correctly predicted the 4th quarter winner will receive a payout based on the final contract price at resolution.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in coaching strategies, or even weather forecasts could shift expectations and cause the odds to move. Unexpected performance during the earlier parts of the game, or even pre-game analysis highlighting a team's strengths or weaknesses, could also impact trading volume and prices. Public sentiment, as reflected in polls or expert opinions, may also play a role, although the market ultimately reflects the decisions of traders on Kalshi.