TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 1:56 PM EST
Kalshi
This market focuses on predicting which team will score more points in a specific quarter of a college football game between Wake Forest and Louisville. It allows participants to speculate on short-term performance rather than the overall game outcome. The resolution depends solely on the scoring during the designated quarter.
If Louisville wins the 2nd quarter of the Wake Forest vs Louisville college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If Wake Forest wins the 2nd quarter of the Wake Forest vs Louisville college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Wake Forest vs Louisville college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial line setting. Sportsbooks typically set odds based on statistical models and expert analysis, while this market allows anyone to trade based on their own insights. Discrepancies can arise due to differing information or interpretations of the same information. It’s common to see prediction markets move faster to incorporate new information than traditional sportsbooks, especially as game time approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market's probability of that outcome occurring; a higher price indicates a greater perceived chance of success. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts as traders react to news, analysis, and each other's trades. This creates a real-time assessment of the potential winner of the 2nd quarter between Wake Forest and Louisville, driven entirely by trader activity.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 2nd quarter of the Wake Forest vs Louisville game will be declared the winner of this market. The resolution will be based on official game statistics and results, ensuring a transparent and verifiable outcome. Traders will be able to see the final result reflected in their account balances shortly after the game concludes and the official results are available.
Several signals could significantly impact this market. Any news regarding key player injuries for either Wake Forest or Louisville would likely cause price movement. Changes in weather forecasts, especially if they suggest conditions favoring one team's playing style, could also influence trading activity. Additionally, any late-breaking news about team strategy or coaching decisions might shift the market's perception of each team’s chances. Public sentiment and expert analysis leading up to kickoff will also play a role in how this market evolves.