TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 5:33 PM EST
Kalshi
This group forecasts the outcome of a soccer match between Montevideo Wanderers and Club Nacional de Football on September 12, 2026. Markets exist for Wanderers winning, Nacional winning, and the game ending in a draw. Resolution depends on the official match result within 90 minutes plus stoppage time.
This event is for the upcoming Primera División (Uruguay) game, scheduled for Saturday, September 12, 2026 between Montevideo Wanderers and Club Nacional de Football.
The event resolves based on the result of the Wanderers vs Nacional professional Uruguay Primera Division soccer match originally scheduled for September 12, 2026. A market resolves to Yes if the associated team wins the game within 90 minutes plus stoppage time, excluding extra time or penalties. If the match ends in a tie after regulation time, the Tie market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform rules. The event exclusively considers the outcome after standard playing time, with no consideration given to results determined through extra time, penalty shootouts, or other post-regulation proceedings.
Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the differing incentives and information sources involved. Sportsbooks primarily aim to set lines that balance betting action and incorporate a profit margin, while prediction markets incentivize participants to express their true beliefs about the likelihood of an event. This market’s odds reflect the collective wisdom of a diverse group of forecasters, potentially leading to more accurate probabilities, especially as the event approaches. However, sportsbooks may offer different markets or have access to unique information, creating discrepancies.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Uruguayan soccer match. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and deviations from the consensus. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior and, consequently, the implied probabilities. These differences contribute to a fascinating comparison of forecasting perspectives.