TOTAL VOLUME:
$154.9b
24H VOL:
$282,630,871
24H TRANSACTIONS:
3,001,463,625
OPEN INTEREST:
$1,940,490,234
411,303
Markets across
39,945
events
MATCHED EVENTS:
4,447
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 7:30 PM EST
Kalshi
This group covers various markets related to the Nevada vs. UCLA college football game scheduled for October 31st. Markets include the winner of the game, point spreads, and over/under totals for points scored by both teams and in different game segments.
In the upcoming college football game between Nevada and UCLA, scheduled for October 31 at 4:15PM ET: This market will resolve to "Nevada" if Nevada win the game. This market will resolve to "UCLA" if UCLA win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves based on the outcome of the Nevada vs UCLA college football game scheduled for October 30, 2026. If UCLA wins, the 'UCLA' market resolves to Yes; if Nevada wins, the 'Nevada' market resolves to Yes. If the game is postponed but begins within 48 hours of the original start time, the markets remain open and resolve based on the final result. If the game is cancelled or not started within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.
Prediction market odds often offer a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the aggregated beliefs of informed traders. This can lead to discrepancies, as prediction markets may more quickly incorporate new information or specialized knowledge. While sportsbooks often focus on public perception, this market tends to be driven by those with a strong incentive to be accurate. Both can be valuable, but understanding the different motivations behind each is key to interpreting the odds effectively.
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 would likely impact trading activity. Unexpected weather conditions or even public sentiment, as reflected in social media, could also play a role. Major upsets in other games involving these teams, or changes to the game’s schedule, may also cause traders to reassess their predictions. Monitoring these signals can help you understand potential shifts in the market’s probabilities.