TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 6:48 PM EST
Kalshi
This set of markets tracks how many points each team scores in the first half of an upcoming college football game. Participants can speculate on whether a team will exceed various scoring thresholds within the first half of the match.
The markets resolve based on the total points scored by each team in the first half of the Wisconsin vs Penn St. college football game scheduled for September 26, 2026. Each market corresponds to a specific point threshold for either Wisconsin or Penn St., and resolves to 'Yes' if the team scores more than the stated threshold. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the final result. If the game does not start within 48 hours of the scheduled time, the markets will resolve to a fair price, reflecting an equitable outcome considering all available information up to that point.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds due to varying information and incentives. Sportsbooks set lines based on their own modeling and need to account for profit margins, while this market is driven by individuals trading on their own beliefs. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Analyzing these differences can reveal insights into how the public perceives the likelihood of different outcomes in the Wisconsin vs Penn State game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing potential first half team totals. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the market believes is the true probability. This dynamic pricing mechanism allows for real-time adjustments based on new information and changing perceptions about the Wisconsin vs Penn State game.
This market resolves around Sep 27, 2026, with the outcome confirmed once the official first half team totals from the Wisconsin vs Penn State game are verifiable from credible public reporting. The resolution will be based on the official score as recorded by the governing body of college football. The market will determine which side, if any, accurately predicted the first half team totals, and payouts will be distributed accordingly to those who held winning contracts.
Several factors could influence this market leading up to and during the Wisconsin vs Penn State game. Key player injuries, changes in weather conditions, or even unexpected coaching decisions could all shift market sentiment. News regarding team practice performances or pre-game analysis from sports analysts could also impact trading activity. Finally, early game developments, such as a quick scoring drive or a significant turnover, would likely cause substantial price movements in this market as traders react to the unfolding events.