TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 7:23 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the second half of a college football game, specifically examining whether one team can achieve a specified margin of victory during that period. The outcomes hinge entirely on the scoring dynamics after halftime, with no consideration for the first half results.
All markets resolve based solely on points scored during the second half (including overtime) of the UCLA vs Oregon college football game scheduled for October 10, 2026. For Oregon-related markets, a 'Yes' outcome occurs if Oregon wins the second half by more than the specified point margin (ranging from 2.5 to 23.5 points). For UCLA-related markets, a 'Yes' outcome occurs if UCLA wins the second half by more than the specified point margin (ranging from 2.5 to 14.5 points). If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve based on the official final second-half result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing or outcome.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market aggregates the views of many individual traders. It’s common to see prediction markets move faster to incorporate new information, as traders react quickly to news and developments. However, sportsbook odds remain a valuable point of comparison for understanding where the broader public perception lies regarding the game’s outcome.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second half of the UCLA vs Oregon game will be used to determine which contracts pay out. Specifically, the market will settle based on the actual point difference between the two teams at the end of the second half. The winning contracts will correspond to the spread closest to the final result, as determined by official game statistics.
Several factors could influence this market before resolution. Any news regarding injuries to key players on either the UCLA or Oregon teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to affect the style of play, could also impact trading activity. Furthermore, in-game performance during the first half, and any strategic adjustments made by the coaches, could lead traders to reassess their predictions and adjust their positions in this market. Unexpected news or developments related to team morale or coaching decisions could also play a role.