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, 10:44 PM EST
Kalshi
This market tracks whether UCLA will win their college football game against San Diego State by more than 1.5 points. Currently, the probability of UCLA winning by over 1.5 points on Kalshi is 95.0%. The market will resolve based on the outcome of the San Diego St. vs UCLA college football game, with resolution details found in the provided resolution source. Keep an eye on the game itself, as the market is scheduled to resolve on September 13, 2026, following the conclusion of the fixture.
All markets resolve based on the official point differential from the San Diego State vs UCLA college football game scheduled for September 12, 2026. If UCLA wins by a margin exceeding the specified threshold in any 'UCLA wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. Conversely, if San Diego State wins by a margin exceeding the threshold in any 'San Diego State wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. For games postponed but starting within 48 hours of the original time, markets remain open and resolve per the final result. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the outcome.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, driven by the collective predictions of traders, aims to reflect the true probability of the event occurring. While sportsbooks may initially set lines based on statistical models and expert opinions, this market dynamically adjusts as new information and opinions emerge from participants, potentially offering a more accurate forecast. It's common to see discrepancies between the two, especially as the event approaches.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread established by official sources will determine the winning outcome in this market. The resolution will reflect whether UCLA wins by more or less than the spread established at the time of resolution. Traders who correctly predicted the outcome will be paid out according to the final market price, while those who predicted incorrectly will forfeit their investment.
Several factors could influence the San Diego St vs UCLA spread market. Any significant news regarding player injuries, coaching changes, or team performance could shift trader sentiment. Unexpected announcements about weather conditions that might affect the game, or even changes in public perception based on media coverage, could also play a role. Major shifts in betting patterns at sportsbooks, while not directly reflected, could also indirectly influence this market as traders react to broader market trends. Monitoring these signals will be key to understanding potential price movements.