TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 1:50 PM EST
Kalshi
These markets track how decisively either team wins the first half of an upcoming college football game. Each market corresponds to a specific point margin threshold that must be exceeded for the outcome to settle as expected.
All markets resolve based solely on points scored during the first half of play in the Buffalo vs Penn St. college football game scheduled for Sep 19, 2026. For any market where Penn St. must win by a specified margin, resolution occurs only if Penn St. achieves that margin or greater in the first half. Conversely, markets requiring Buffalo to win resolve if Buffalo meets or exceeds the stated margin. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the actual first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds defined in individual markets.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market is driven by traders who are incentivized to accurately predict the outcome. You might find that this market incorporates information and perspectives not fully captured by sportsbooks, potentially leading to different probabilities assigned to Buffalo covering the spread. However, as the event approaches, these odds often converge as more information becomes available.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about whether Buffalo will cover the spread. The price of a contract ranges from 0 to 100, representing the implied probability of the 'yes' outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price fluctuates based on supply and demand, reflecting the collective prediction of the market. Higher volume generally indicates greater confidence in the market's price, while significant price swings can signal new information or changing sentiment.
This market resolves around Sep 19, 2026, with the outcome confirmed once the final point spread of the Buffalo vs Penn State game is verifiable from credible public reporting. The resolution will be based on the official result declared by the governing body of college football. The contract will pay out $1 per share to those who correctly predicted whether Buffalo will cover the spread, and $0 to those who did not. The final price of the contract on Kalshi will reflect the market’s final assessment of the outcome.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either Buffalo or Penn State would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to heavily impact the game, could also shift the odds. Public sentiment, reflected in betting trends and expert analysis, can also play a role. Finally, any late-breaking news or developments related to team strategy or player availability could contribute to price fluctuations in this market.