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 12, 2:43 PM EST
Kalshi
This set of markets tracks how many points each team scores in an upcoming college football game, allowing participants to speculate on various scoring thresholds for both teams.
Each market resolves based on whether Oklahoma State or Oregon exceeds a specified point threshold in their game scheduled for September 12, 2026. If a team scores more than the stated threshold, the corresponding market resolves to Yes; otherwise, it resolves to No. Postponements are handled by monitoring the actual start time—if the game begins within 48 hours of the original schedule, it remains open for resolution based on the final score. If the game does not start within this window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing changes.
Generally, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the diverse perspectives of traders. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Over time, prediction market prices tend to be more accurate forecasts than traditional point spreads, though initial sportsbook odds can provide a useful benchmark for comparison. Discrepancies can arise from differing information or risk assessments.
On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing beliefs about whether the team totals will be over or under a certain threshold. As more traders participate, the price of these contracts fluctuates, reflecting the collective expectation. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement indicates the probability assigned to each outcome, with higher prices suggesting a greater likelihood. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its forecast accordingly.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals from the Oregon vs Oklahoma State game will be used to determine whether the contracts settle in favor of the ‘over’ or ‘under’ side. The resolution will be based on the official statistics reported by the governing body of college football, ensuring an objective and transparent process. Traders will then receive payouts based on their positions in the market.
Several factors could influence this market leading up to the game. Any news regarding key player injuries, changes in coaching strategy, or even weather forecasts could significantly shift trader sentiment. Unexpected announcements about team lineups or significant performance changes in recent games will likely cause price fluctuations. Public perception, as reflected in polls or expert analyses, can also play a role, though the market ultimately reflects the aggregated beliefs of those actively trading on Kalshi.