TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:01 PM EST
Kalshi
These markets focus on predicting the point differential in the third quarter of a college football game between Wisconsin and UCLA. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that quarter to determine the outcome.
All markets resolve based solely on points scored during the third quarter of the Wisconsin vs UCLA college football game scheduled for October 17, 2026. A market resolves to 'Yes' if the specified team wins the third quarter by more than the stated point margin (e.g., UCLA by over 10.5 points). If the game is postponed but commences within 48 hours of its original start time, markets remain open and resolve according to the official third-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price. No markets consider overall game results or points scored outside the third quarter.
Generally, prediction markets like Kalshi often reflect information beyond what is captured in traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the collective wisdom of traders who are incentivized to be accurate. It’s common to see differences emerge as new information becomes available, such as injury reports or changes in team strategy. These differences can sometimes present opportunities for informed traders to find value, though it’s important to remember that both represent probabilities of an outcome.
This market resolves around Oct 18, 2026, with the outcome confirmed once the final point spread for the third quarter of the Wisconsin vs UCLA game is verifiable from credible public reporting. The resolution will be based on the official game statistics as reported by a recognized sports data provider. Traders who correctly predicted the spread will receive a payout based on the final price of their contracts at the time of resolution. The market’s outcome is determined by the actual on-field performance of the teams during the third quarter.
Several factors could significantly influence the Wisconsin vs UCLA 3rd quarter spread. Any news regarding key player injuries on either team would likely cause a shift in the market. Changes in coaching strategy or unexpected starting lineup announcements could also impact trader sentiment. Furthermore, real-time performance during the first half of the game, such as a dominant offensive showing by one team, could lead to adjustments in the perceived probability of different outcomes. Public perception and analysis from sports commentators could also play a role, influencing trading activity.