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 3, 3:31 PM EST
Kalshi
These markets track how decisively either team wins the final quarter of a college football game, focusing solely on points scored in that period. Each outcome represents a different margin of victory needed for the market to settle positively.
All markets resolve based exclusively on points scored during the 4th quarter (excluding overtime) of the Boston College vs SMU college football game scheduled for October 3, 2026. A 'Yes' outcome occurs when the winning team achieves a specified point differential over their opponent within that quarter, with thresholds ranging from over 2.5 to over 10.5 points depending on the market. If the game is postponed but commences within 48 hours of its original scheduled start time, markets remain open and resolve according to the final result. Should the game fail to start within this 48-hour window, all markets resolve at a fair price. No overtime points factor into any resolution calculations.
Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they can diverge based on differing information or biases. Sportsbooks set their lines to balance action and ensure profitability, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. It’s common to see discrepancies, especially early on, as prediction markets can incorporate unique data or react more quickly to news. Comparing the odds allows you to assess where the crowd believes the value lies, relative to traditional sports betting options.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the 4th quarter of the Boston College versus SMU football game will be used to determine which contracts pay out. The resolution will be based on official game statistics, ensuring an objective and transparent outcome. Traders will be able to see which contracts were successful based on the final score and spread, and payouts will be processed accordingly.
Several factors could influence the price of this market. Any news regarding key player injuries for either Boston College or SMU would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact trader sentiment. Unexpected coaching decisions or strategic shifts announced before the game could also play a role. Finally, any late-breaking news or analysis that alters perceptions of each team’s strengths and weaknesses could lead to shifts in the market price as traders adjust their forecasts.