TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 9:32 PM EST
Kalshi
This group forecasts the outcome of a USL Championship soccer game between Brooklyn FC and Miami FC on September 12, 2026. Markets exist for Brooklyn FC winning, Miami FC winning, and the game ending in a draw, all determined within 90 minutes plus stoppage time.
This event is for the upcoming USL Championship game, scheduled for Saturday, September 12, 2026 between Brooklyn FC and Miami FC.
The event resolves based on the result of the Brooklyn FC vs Miami professional USL Championship soccer match scheduled for September 12, 2026, after the full 90 minutes of play plus any stoppage time, but not including extra time or penalty shootouts. If Brooklyn FC wins in regulation time, the 'Brooklyn FC' market resolves to Yes. If Miami wins in regulation time, the 'Miami' market resolves to Yes. If the match ends in a tie after regulation time, the 'Tie' market resolves to Yes. Should the game be 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 result within regulation time, with no account for post-regulation deciding factors such as extra time or penalties.
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 for the Brooklyn FC vs. Miami FC match can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information. Trading fees and platform-specific rules also play a role. Furthermore, the liquidity—or volume—on each platform can influence price discovery. If one platform has significantly higher volume, its prices may be more efficient and accurate. Differences in how each platform handles margin requirements and risk management can also contribute to price discrepancies. These factors create a dynamic environment where prices reflect the unique characteristics of each market.