TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 8:29 PM EST
Kalshi
This market tracks the outcome of the first half of a college football game between Presbyterian and Western Carolina. It focuses solely on which team leads at halftime, without considering the final game result. The market accounts for potential game delays, ensuring resolution based on official scores if the game starts within 48 hours of the scheduled time.
The market resolves based on which team leads at the end of the first half of the Presbyterian vs Western Carolina college football game scheduled for September 19, 2026. If Western Carolina scores more points than Presbyterian in the first half, the 'Western Carolina wins 1st Half' market resolves to Yes. If Presbyterian scores more points than Western Carolina in the first half, the 'Presbyterian wins 1st Half' market resolves to Yes. If both teams score the same number of points in the first half, resulting in a tie, the 'Tie 1st Half' market resolves to Yes. For all markets, only points scored during the first half count toward resolution. If the game is postponed but commences within 48 hours of its original scheduled start time, the markets remain open and resolve according to the official halftime result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi disclaims any affiliation with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the collective wisdom of a diverse group of individuals, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven purely by supply and demand. It’s common to see discrepancies between the two, especially before significant events or when public sentiment strongly favors one outcome. These differences can present opportunities for informed traders who can identify mispricings and capitalize on the variance between prediction market probabilities and those offered by sportsbooks.
On Kalshi, this market is priced through a continuous double auction. Traders submit buy and sell orders for contracts representing each possible outcome – in this case, either Presbyterian or Western Carolina winning the first half. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the market’s current assessment of that outcome’s probability. As more traders participate and new information becomes available, the prices adjust dynamically, creating a real-time probability forecast. The market efficiently incorporates information as traders react to news, injuries, and other factors influencing the game’s potential outcome.
This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on which team is leading at the end of the first half of the Presbyterian vs Western Carolina game. The official game results will be used to determine the winning team for the first half, and contracts will be settled accordingly. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will not. The final result will be publicly available following the completion of the first half.
Several factors could influence this market before resolution. Any news regarding injuries to key players on either the Presbyterian or Western Carolina teams would likely cause significant price movement. Changes in weather conditions, particularly if they favor one team’s playing style, could also impact the market. Unexpected announcements about coaching strategies or team lineups could also shift trader sentiment. Even general public perception, as reflected in social media or other sources, can contribute to price fluctuations in this market as traders adjust their positions based on new information.