TOTAL VOLUME:
$139.4b
24H VOL:
$152,239,259
24H TRANSACTIONS:
2,540,891,627
OPEN INTEREST:
$1,622,981,384
471,589
Markets across
36,389
events
MATCHED EVENTS:
2,918
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Oct 4, 2:19 AM EST
Kalshi
This market tracks which team will win the college football game between Texas State and San Diego State. Currently, Kalshi gives San Diego State a 95.0% probability of winning, while Texas State is at 5.0%. The market resolves based on the outcome of the Texas State vs. San Diego State game originally scheduled for October 3, 2026, as reported by the game’s official result. Keep an eye on October 4, 2026, as this is the estimated resolution date and will reflect the final result of the match.
The market resolves based on the winner of the Texas State versus San Diego State college football game scheduled for October 3, 2026. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the official final result. Should the game be cancelled or fail to start within the 48-hour window, the market resolves to a fair price. The markets for each team operate under these unified conditions, ensuring consistency regardless of which team's outcome is tracked.
Often, prediction market odds reflect a different perspective than those offered by traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information sources, biases, or simply varying interpretations of the teams’ strengths. If you find a significant difference between the odds here and at a sportsbook, it could indicate an opportunity for value betting, depending on your own assessment of the game.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Texas St. vs San Diego St. game, as reported by a recognized sports data source. The market will determine which team wins the game, and the outcome will be settled accordingly. This ensures a transparent and objective resolution process for all participants.
Several factors could influence this market before the game takes place. Any news regarding key player injuries, changes in coaching strategies, or significant shifts in team performance could cause the odds to move. Unexpected weather conditions or even public sentiment, as reflected in social media and expert analysis, can also play a role. Major upsets in other games involving these teams, or even broader conference standings, might also impact trader behavior and shift the probabilities reflected in this market.