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 24, 7:24 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in an upcoming college football game, allowing participants to speculate on whether the combined score will exceed various thresholds.
Each market resolves based on whether the combined score of both teams in the Louisiana-Monroe vs Troy college football game scheduled for October 24, 2026, exceeds a specific threshold. If the game is postponed but starts within 48 hours of the original time, the result is based on the final score of the game as played. If the game does not start within 48 hours of the original time, the market resolves to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows anyone to trade based on their own insights, leading to odds that can diverge from those offered by sportsbooks as new information emerges or public sentiment shifts. It’s common to see prediction markets incorporate information faster than traditional sources, potentially offering a more accurate forecast.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final points total scored in the Louisiana-Monroe vs Troy game will be used to determine whether the 'over' or 'under' contract wins. The resolution will be based on official game statistics, ensuring a transparent and accurate outcome. Traders will then be able to claim their winnings or adjust their strategies for future events.
Several factors could influence this market before resolution. News regarding key player injuries for either Louisiana-Monroe or Troy would likely cause significant movement. Changes in weather forecasts, particularly if they suggest a high-scoring or low-scoring game, could also impact trading activity. Unexpected announcements about coaching strategies or team performance could also shift expectations. As the game approaches, any public statements from coaches or players that suggest a particular game plan could also move the market.