TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 2:14 AM EST
Kalshi
This event concerns a college football game where an additional period of play may be required if the score is tied at the end of regulation time. The outcome depends on whether the game extends beyond its standard duration due to a tied score. The focus is on the possibility of extended play determining the final result.
If at least 1 overtime period is played in the Baylor vs Arizona St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning with but sometimes diverging from sportsbook odds. Sportsbooks set initial lines based on statistical models and expert analysis, while this market allows anyone to trade on their beliefs, potentially incorporating information not yet reflected in traditional odds. If there's a significant difference, it could indicate that market participants have access to unique insights or disagree with the sportsbook's assessment of the teams' relative strengths and potential game outcomes. It's a useful comparison point for informed decision-making.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official game results, specifically whether overtime occurred and, if so, how many overtime periods were played. The platform will verify the final result against official sources to determine which contracts will pay out and at what value. Traders will be able to see the final outcome and their resulting profits or losses once the resolution is complete.
Several signals could influence this market before resolution. Any news regarding key player injuries for either Baylor or Arizona State would likely cause price fluctuations. Changes in weather forecasts, particularly if they suggest conditions favoring a low-scoring, close game, could also shift expectations. Furthermore, significant shifts in public sentiment, perhaps driven by expert analysis or social media discussion, could impact trading activity and move the odds. Unexpected developments during the game itself, even before overtime, could also influence the market, as traders react to the unfolding events.