TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 10:34 PM EST
Kalshi
This market focuses on determining which team will score more points in the final quarter of a college football game between Oklahoma State and West Virginia. It highlights the importance of end-game strategies and momentum shifts that can occur in the last period of play. The outcome depends solely on 4th quarter performance, not the overall game result.
If West Virginia wins the 4th quarter (excluding overtime) of the Oklahoma St. vs West Virginia college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If Oklahoma St. wins the 4th quarter (excluding overtime) of the Oklahoma St. vs West Virginia college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Oklahoma St. vs West Virginia college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market represents the collective belief of individuals trading on Kalshi. These differences can arise from varying information sources, analytical approaches, or simply differing opinions. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges or public sentiment shifts closer to the event.
This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the fourth quarter will be declared the winner, and that result will be used to determine payouts on Kalshi. The resolution process relies on publicly available game statistics to ensure an objective and transparent outcome for all participants in this market.
Several factors could influence trading activity in this market. Key injuries to star players on either Oklahoma St. or West Virginia would likely cause significant shifts. Unexpected news regarding team strategy or coaching decisions could also impact the perceived probabilities. Furthermore, any changes in public sentiment, perhaps driven by expert analysis or media coverage, can influence how traders position themselves. Real-time game statistics during the first three quarters will also play a role, as traders react to the unfolding events and adjust their expectations.