TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:54 PM EST
Kalshi
An upcoming college football game features two teams competing against each other, and the match may extend beyond the regular playing time. The outcome will depend on whether the game requires additional periods to determine a final result. This possibility adds an element of uncertainty and excitement to the contest.
If at least 1 overtime period is played in the Wisconsin vs UCLA college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Generally, prediction markets like Kalshi often reflect information beyond what’s 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 accurately forecast the outcome. Discrepancies can arise due to differing information sources, risk assessments, or simply varying levels of public attention on the Wisconsin vs UCLA game. Often, prediction markets can offer more nuanced probabilities than a simple win/loss spread.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of the game going to overtime. The price of a contract directly corresponds to the implied probability of that outcome. As more traders believe an overtime period is likely, the price of the 'Yes' contract will increase, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, reflecting the evolving expectations of participants regarding the Wisconsin vs UCLA game.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether the Wisconsin vs UCLA game officially goes into overtime as determined by the official game results. The final score and official game statistics will be used to verify the outcome. Traders holding contracts on Kalshi will then be settled based on whether the game went to overtime or not, according to the market's rules.
Several factors could influence the price of this market. Late-breaking news regarding key player injuries for either the Wisconsin or UCLA teams would likely have a significant impact. Changes in public perception, perhaps driven by expert analysis or updated statistical models, could also shift trader sentiment. Even significant shifts in betting action at sportsbooks could influence traders on Kalshi. Finally, any unexpected developments leading up to the game, such as weather concerns or coaching changes, could introduce new information and move the market.