TOTAL VOLUME:
$154.2b
24H VOL:
$192,072,993
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,842,388,377
408,027
Markets across
40,419
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 6:43 PM EST
Polymarket
More markets for the Primera División (Uruguay) game, scheduled for November 1 at 2:30 PM ET.
More markets for the Primera División (Uruguay) game, scheduled for November 1 at 2:30 PM ET.
Generally, prediction market odds often reflect a wisdom-of-the-crowd effect, potentially differing from traditional sportsbook odds. Sportsbooks may incorporate factors like house edges and public biases into their pricing, while this market relies on the aggregated predictions of informed traders. It's common to see discrepancies, particularly as new information emerges or public perception shifts. Comparing the two can provide a broader understanding of the perceived probabilities surrounding the event's outcome, but this market represents a unique perspective based on active trading.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing their beliefs about the outcome. The price of a contract directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe an outcome is likely, the higher the price of its corresponding contract will rise. This dynamic pricing reflects the collective intelligence of the crowd and adjusts in response to new information and trading activity.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Uruguayan football match, as determined by the governing football association. The platform will verify the final score and declare the winning outcome accordingly. Traders who correctly predicted the result will receive a payout based on the final market prices at the time of resolution.
Several factors could influence this market before resolution. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift the odds. Furthermore, the performance of the teams in their preceding matches, weather conditions on the day of the game, and even public sentiment expressed through social media could all contribute to price movements. Major upsets in related matches or shifts in expert analysis could also impact trading activity and ultimately alter the probabilities reflected in this market.