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, 3:30 PM EST
Kalshi
The Virginia vs SMU college football game scheduled for October 17, 2026, could extend beyond regulation time if the score is tied at the end of the fourth quarter. If this occurs, the game will enter overtime, where each team gets an opportunity to score in alternating possessions until a winner is determined.
If at least 1 overtime period is played in the Virginia vs SMU college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime in the Virginia vs SMU game. The price of a contract reflects the market’s collective assessment of that probability – a higher price indicates a greater perceived chance of overtime. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can place limit orders to buy or sell at specific prices, or market orders to execute trades immediately at the best available price. The market depth, displayed on the dashboard, shows the volume of buy and sell orders at different price levels.
This market resolves around Oct 17, 2026, with the outcome confirmed once the result of the Virginia vs SMU game is verifiable from credible public reporting. Specifically, the market will resolve to 'Yes' if the game goes to overtime, and 'No' if the game concludes without overtime. The final score and game details will be verified against official sources to determine the outcome. Traders holding contracts on the winning side will receive a payout, while those on the losing side will forfeit their stake.
Several factors could influence the price of this market before Oct 17, 2026. Any news regarding injuries to key players on either the Virginia or SMU teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions that favor a lower-scoring, closer game, could also shift the odds. Late-breaking news about team strategies or coaching decisions might also cause movement. Finally, large trading volume from informed participants could signal new information entering the market and cause the price to adjust accordingly.