TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 7:20 PM EST
Kalshi
The scheduled college football game between two teams will take place on the specified date, and its outcome may extend beyond the regular playing time. If the game requires additional periods to determine a final result, it indicates that the initial timeframe was insufficient. This extension reflects the competitive nature and potential for closely matched performance between the participating teams.
If at least 1 overtime period is played in the Penn St. vs Michigan college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while Kalshi allows traders to directly assess the probability of overtime in the Penn State vs Michigan game. This can lead to differences in implied probabilities. It’s common to see prediction markets reflect the 'wisdom of the crowd,' potentially identifying value where sportsbooks may have biases or limitations in their modeling. However, both represent attempts to forecast the same event outcome.
This market resolves around Oct 17, 2026, with the outcome confirmed once the result of the Penn State vs Michigan game is verifiable from credible public reporting. The resolution will reflect whether the game ultimately went into overtime, based on official game statistics. Traders who correctly predicted whether overtime would occur will receive a payout based on the final market price at resolution. It's important to note that the outcome is determined by the actual game result, not by any subjective assessment or individual opinion.
Several factors could influence the trading activity and price movement in this market. Any news regarding key player injuries for either Penn State or Michigan would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift expectations. Furthermore, any late-breaking news about coaching strategies or team morale could influence trader sentiment. Public polling data or analysis from sports commentators, while not directly impacting the market, could also sway opinions and contribute to price fluctuations before Oct 17, 2026.