TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 7:00 PM EST
Kalshi
This event tracks various thresholds of points scored in the final quarter of a college football game, allowing participants to speculate on how high-scoring the last quarter will be. The outcome depends solely on the combined points both teams achieve in that specific period.
All markets resolve based on the total points scored by both teams during the 4th quarter (excluding overtime) of the Stanford vs Louisville college football game scheduled for October 31, 2026. Each market corresponds to a specific numerical threshold: if the combined score exceeds the threshold (e.g., 2.5, 5.5, up to 27.5 points), the market resolves to Yes; otherwise, it resolves to No. Postponements are handled such that if the game starts within 48 hours of the original time, it remains active and resolves based on the final result. If the game does not start within this window, all markets resolve to a fair price. Only points from regulation 4th quarter play count; overtime points are excluded.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially differing from those set by sportsbooks. Sportsbooks establish lines to balance betting action and ensure profit, while this market allows anyone to express their belief about the likely outcome. Discrepancies can arise due to differing information sources, analytical approaches, or simply varying levels of confidence. It’s common to see this market move independently of sportsbook lines as new information becomes available, and as more traders participate.
This market resolves around Oct 31, 2026, with the outcome confirmed once the total points scored in the 4th quarter of the Stanford vs Louisville game is verifiable from credible public reporting. The final score will be sourced from official game statistics and used to determine whether the total points exceeded the threshold defined by the contracts traded on Kalshi. The resolution process ensures an objective and transparent determination of the outcome based on real-world events.
Several factors could influence the price of this market. Any news regarding key player injuries for either Stanford or Louisville would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also shift expectations. In-game performance during the first three quarters, such as a dominant offensive showing by one team, could lead traders to adjust their predictions. Unexpected coaching decisions or late-game strategy shifts might also contribute to price fluctuations in this market.