TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 9:35 PM EST
Kalshi
This set of markets tracks the total points scored by both teams during the second quarter of a college football game. Participants predict whether the combined score will exceed various thresholds, offering different levels of difficulty for forecasting game dynamics.
All markets resolve based on the total points scored by both teams combined during the second quarter of the Indiana vs Rutgers college football game scheduled for October 3, 2026. Each market has a specific threshold (ranging from 2.5 to 27.5 points); if the actual second-quarter total exceeds the threshold, the market resolves to 'Yes.' Postponements are handled such that if the game starts within 48 hours of the original time, it remains active and resolves based on the official result. If the game does not start within this window, all markets resolve to a fair price. Only points scored during the second quarter count, and Kalshi explicitly disclaims any affiliation with the NCAA or ownership of related trademarks.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own modeling and risk assessment, while this market aggregates the views of many individuals. It’s common to see differences emerge, especially as new information becomes available or public sentiment shifts. Examining these differences can be valuable for informed decision-making, though it's important to remember that both represent probabilities and are not guarantees of the actual outcome.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total points scored in the 2nd quarter of the Indiana vs Rutgers game will be used to determine whether the ‘over’ or ‘under’ contracts will pay out. The official game statistics, as reported by a recognized sports data provider, will serve as the definitive source for the resolution. Traders will be able to see the final result and any associated payouts on Kalshi following the completion of the game.
Several factors could influence the price of this market leading up to game time. Any news regarding key player injuries for either Indiana or Rutgers would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also shift predictions. Furthermore, late-breaking analysis from sports commentators or unexpected betting patterns could all contribute to movement in the market. Even public sentiment, as reflected in social media or polls, can sometimes influence trading activity and the overall price of contracts.