TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 2:34 PM EST
Kalshi
This event tracks the total points scored by both teams during a specific quarter of a college football game. Bettors can predict whether the combined score will exceed various thresholds, offering different levels of difficulty and potential payout.
All markets resolve based on the total points scored by both teams combined during the third quarter of the Virginia vs SMU college football game scheduled for October 17, 2026. Each market has a different threshold for 'Yes' resolution, ranging from over 2.5 points to over 27.5 points. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the actual third-quarter result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold chosen.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. If a significant number of traders believe the sportsbook’s line is inaccurate, the odds here will move accordingly. It's common to see discrepancies, especially as new information emerges or public sentiment shifts leading up to the event. Analyzing these differences can provide valuable insights.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total points scored in the 3rd quarter of the Virginia vs SMU game will be used to determine which contracts pay out. Resolution relies on official game statistics, ensuring a transparent and objective outcome. Traders who correctly predicted the total points scored will receive a payout based on the contract’s price at resolution, while those who bet on incorrect outcomes will forfeit their stake.
Several factors could influence this market. Any news regarding key player injuries for either Virginia or SMU would likely cause significant movement. Changes in weather conditions, particularly if they impact the teams’ offensive strategies, could also shift expectations. Furthermore, in-game performance during the first and second quarters, such as a dominant offensive showing by one team, could lead traders to adjust their predictions for the third quarter. Public sentiment and any late-breaking analysis could also contribute to price fluctuations.