TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 7:34 PM EST
Kalshi
The Illinois vs Michigan St. college football match on October 10, 2026, may continue beyond regulation if the score is level at the end of the fourth quarter. If so, the game will enter overtime, where additional periods will allow both teams to compete for a decisive lead.
If at least 1 overtime period is played in the Illinois vs Michigan St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on models and risk assessment, while this market is driven by individuals trading based on their own analysis and information. Often, you’ll find that prediction markets are more accurate than traditional point spreads or over/under lines, especially as the event approaches and more information becomes available. However, it’s important to remember that both represent probabilities as perceived by different groups.
This market resolves around Oct 11, 2026, with the outcome confirmed once the result of the Illinois vs Michigan State game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into an overtime period according to the official game statistics. The platform will then verify the outcome against these sources to determine the winning contracts and distribute payouts accordingly. Traders should monitor official sources for the final game result to understand when the market will be settled.
Several factors could influence the price of this market. Any news regarding key player injuries for either Illinois or Michigan State would likely have a significant impact. Changes in the perceived strength of either team based on recent performance or coaching decisions could also shift the odds. Unexpected weather conditions on game day, or even significant betting activity in traditional sportsbooks, might also cause traders to reassess the probability of the game going to overtime and adjust their positions accordingly.