TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 10:24 PM EST
Kalshi
These markets focus on predicting the point differential in the final quarter of a college football game, highlighting how teams perform under pressure in the closing moments. Outcomes depend solely on points scored during the fourth quarter, excluding any overtime periods.
The markets resolve based on the point differential specifically in the fourth quarter of the Akron vs Wake Forest college football game scheduled for September 3, 2026, excluding overtime. Each market corresponds to a different threshold for how many points either team must win by in that quarter to settle as 'Yes.' If the game is postponed but starts within 48 hours of the original kickoff time, the markets remain active and resolve according to the official result. Should the game fail to commence within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants. Only points scored during regulation fourth-quarter play count toward these outcomes.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the odds through direct buying and selling of contracts that represent the possible outcomes. The current implied probability reflects the collective assessment of participants about whether Akron will cover the 4th quarter spread against Wake Forest. Liquidity and trader interest drive price fluctuations, so market depth and recent trades heavily influence where the line sits at any moment.
This market resolves around Sep 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score from the game — specifically the 4th quarter point differential — will determine whether Akron covers the assigned spread. Once official box scores and reputable sports news confirm the result, the market settles automatically based on that data.
Injuries to key players, coaching strategies revealed in media reports, and weather conditions on game day could all shift this market. Strong recent performance by either team’s offense or defense in practice may also influence trader sentiment. As the game approaches, any last-minute lineup changes or headline news about player availability will likely cause rapid price adjustments among participants on Kalshi.