TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 11:39 PM EST
Kalshi
These markets track the total points scored by both teams in a college football game between New Haven and South Dakota State. Each market corresponds to a different threshold of points, determining whether the combined score exceeds that threshold.
All markets resolve based on whether the total points scored by both teams in the New Haven vs South Dakota State college football game scheduled for September 12, 2026, exceeds a specified threshold. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the final score. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Each market has its own point threshold, ranging from 36.5 to 76.5 points, with the outcome determined by whether the combined score surpasses the respective threshold.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market allows individuals to express their beliefs about the likely total points scored. It’s common to see discrepancies, especially before significant information emerges. These differences can present opportunities for arbitrage, where traders capitalize on price inefficiencies between the two types of markets, though that is not guaranteed. Examining both can provide a broader perspective on the event’s potential outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different total points for the New Haven vs South Dakota St. game. The price of each contract indicates the probability of that specific total occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Demand and supply drive the price fluctuations; if more people believe the total will be higher, contracts representing higher totals will become more expensive. Conversely, if the expectation shifts towards a lower total, those contracts will decrease in price.
This market resolves around Sep 13, 2026, with the outcome confirmed once the final score of the New Haven vs South Dakota St. game is verifiable from credible public reporting. The total points scored by both teams will be used to determine which contracts settle at 100 cents and which settle at 0 cents. Traders holding contracts corresponding to the actual total points will receive a payout of 100 cents per contract, while those holding contracts for different totals will receive 0 cents. The resolution will be based on the official game statistics.
Several factors could influence the price of this market. Any news regarding key player injuries for either New Haven or South Dakota St. would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring high or low scoring, could also impact trading activity. Late-breaking news about team strategies or coaching decisions might also shift expectations. Public sentiment, as reflected in betting trends and media coverage, can also contribute to price fluctuations in this market leading up to Sep 13, 2026.