TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:20h:39m
$
This market tracks which team will lead at the end of the first half in an upcoming college football game between Merrimack and Wake Forest. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends exclusively on who holds the advantage at halftime.
The market resolves based on which team is leading at the end of the first half of the Merrimack vs Wake Forest college football game scheduled for November 7, 2026. If Wake Forest scores more points than Merrimack in the first half, the market resolves to Yes for the Wake Forest outcome. If Merrimack scores more points than Wake Forest in the first half, the market resolves to Yes for the Merrimack outcome. If the teams are tied at the end of the first half, the market resolves to Yes for the Tie outcome. For all outcomes, 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 market remains open and resolves based on the official result. If the game does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not affiliated with the governing league, and all trademarks belong to their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on their own analysis, aiming to balance action on both sides, while this market’s prices are driven by individuals trading based on their own information and beliefs. If a significant number of traders believe a sportsbook has mispriced a team's chances, the odds in this market will adjust accordingly. This can lead to prediction market prices being more accurate, especially as the event approaches and more information becomes available. It's a fascinating comparison of different approaches to forecasting the outcome.
On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing each possible outcome – either Merrimack winning the first half or Wake Forest winning the first half. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices converge to reflect the collective intelligence of the market. Essentially, you're seeing a real-time probability assessment based on the willingness of individuals to buy or sell contracts, creating a dynamic and informative price discovery process.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Merrimack vs Wake Forest game will determine the winning contract. The resolution will be based on the official result as reported by a recognized sports data provider. It’s important to note that the official score at halftime will be the definitive factor in determining the outcome of this market, and the platform will verify this information against reliable sources to ensure accuracy.
Several factors could influence the price movement in this market. Any news regarding injuries to key players on either the Merrimack or Wake Forest teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team's playing style, could also shift the odds. Furthermore, any late-breaking news about team strategies or internal issues could affect trader sentiment. Even significant betting patterns in traditional sportsbooks could influence activity in this market as traders react to perceived value discrepancies. Monitoring these signals will be crucial for understanding potential price fluctuations.