TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 7:21 PM EST
Kalshi
This set of markets tracks how many points each team scores in an upcoming college football game. Each market has a different threshold for the number of points a team must exceed for the market to settle as 'Yes'.
Each market resolves based on whether the specified team scores more than a set threshold of points in the game. If the game is postponed but starts within 48 hours of the original time, it proceeds normally. If the game does not start within that window, the market settles at a fair price. All markets are independent and depend solely on the final official score.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to directly express their beliefs about the probability of different outcomes. If a significant discrepancy exists between prediction market prices and sportsbook odds, it may indicate that the market perceives information differently or that one venue has a more accurate assessment of the event's likely outcome. It is common to see these odds converge as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different team total ranges. The price of a contract reflects the market's collective probability assessment of that outcome occurring. As more traders participate, the prices adjust to reflect the latest information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand; if many traders believe a particular team total is likely, the price of contracts representing that outcome will increase, and vice versa. This creates a real-time, market-driven forecast.
This market resolves around Sep 12, 2026, with the outcome confirmed once the final team totals for both UTSA and Texas State are verifiable from credible public reporting following the completion of the game. The resolution will be based on the official statistics released by the governing body of college football. The market will determine which contracts payout based on whether the actual team totals fall within the ranges defined by the contracts available for trade. Traders holding contracts corresponding to the correct team totals will receive a payout.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either UTSA or Texas State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift expectations. Furthermore, updates on team strategies or coaching decisions, as well as any late-breaking news related to team morale or internal issues, could all contribute to price fluctuations in this market. Public sentiment and analysis from sports commentators may also play a role in shaping trader behavior.