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: Jul 22, 10:35 PM EST
Kalshi
This market tracks whether Sporting Kansas City will win their MLS match against Minnesota United FC. The aggregated consensus probability for a Sporting Kansas City win stands at 94.5%, combining data from Polymarket and Kalshi, with resolution sourced from the official MLS schedule and scores page. The critical catalyst to monitor will be the match result on July 22, 2026, which will determine the final outcome.
This event is for the upcoming MLS game, scheduled for Wednesday, July 22, 2026 between Sporting Kansas City and Minnesota United FC.
Resolution is based on the result of the professional MLS soccer match between Kansas City and Minnesota originally scheduled for July 22, 2026, evaluated at the conclusion of 90 minutes plus stoppage time (excluding extra time or penalties). The match has three possible outcomes: Kansas City victory, Minnesota victory, or a tie. If the game is cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with standard procedures.
Prediction markets and sportsbooks price outcomes using different mechanisms. Sportsbooks set odds to balance their book and manage risk, while prediction markets rely on continuous trading between participants who buy and sell shares based on their own beliefs. This market-driven approach often reflects real-time information and crowd wisdom more dynamically than traditional sportsbook lines. Comparing the two can reveal where consensus diverges, though prediction market prices and sportsbook odds typically converge as the event date nears and new information becomes available.
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. Each platform attracts different trader demographics, liquidity pools, and fee structures, all of which influence how prices form. Polymarket and Kalshi may also have distinct user bases with varying information access or risk appetites, leading to temporary pricing gaps. Additionally, order flow timing and market depth vary between venues, so a large trade on one platform can move its price faster than the other. These differences typically narrow closer to resolution as arbitrage traders exploit the spreads.
Key injury announcements, lineup changes, or roster updates for either team can shift trader sentiment significantly. Recent form, head-to-head history, and any off-field developments affecting player availability will influence pricing. Weather conditions on match day and late-breaking tactical news may also trigger volatility. Additionally, if one team secures or is eliminated from playoff contention before the fixture, motivation levels could change market expectations. Monitor team news and league standings closely, as these catalysts often drive meaningful repricing in the final days before kickoff.