TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 8:16 PM EST
Kalshi
This market focuses on determining which team will score more points in the final quarter of a college football game between South Carolina and Oklahoma. It provides a way to bet specifically on the outcome of the last quarter of play, rather than the entire game. The resolution depends solely on the points scored during that specific period.
If Oklahoma wins the 4th quarter (excluding overtime) of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If South Carolina wins the 4th quarter (excluding overtime) of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the South Carolina vs Oklahoma college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small team of experts, while this market incorporates the views of many individual traders. It’s common to see discrepancies between the two, especially before significant events or when new information emerges. However, as the event approaches, the odds on Kalshi and those offered by sportsbooks tend to converge, as both attempt to accurately predict the eventual result.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that is leading when the 4th quarter concludes will be declared the winner for the purposes of this market. The official result will be determined by the game’s official scorekeeping, and any disputes will be resolved using widely accepted sports data sources. Traders will be able to claim their winnings once the resolution is finalized on Kalshi.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift traders’ expectations and impact the odds. Unexpected performance during earlier quarters of the game, or significant momentum swings, would also likely cause movement. Public sentiment, as reflected in social media or expert analysis, can also play a role, though the market often demonstrates independent thinking. Monitoring these signals could provide insights into potential shifts in the market.