TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 26, 12:45 AM EST
Kalshi
This market tracks the outcome of the MLS soccer match between Portland Timbers and Real Salt Lake, measuring three possible results at 90 minutes plus stoppage time. The aggregated consensus probability for a Portland Timbers win is currently at 65.0%, with Real Salt Lake or Draw at 33.5%. Data is drawn from Kalshi, Polymarket, and Predict, with resolution details available on mlssoccer.com. Watch for the match result on July 25, 2026, which will determine the market outcome.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between Portland Timbers and Real Salt Lake.
Resolution is based on the final result of the Portland vs Salt Lake professional MLS soccer game originally scheduled for July 25, 2026, evaluated after 90 minutes plus stoppage time (excluding extra time or penalties). Each outcome—Portland win, Salt Lake win, or tie—resolves to Yes if that result occurs. If the game ends in a tie, the Tie market resolves to Yes. Should the game be cancelled or rescheduled to more than two weeks away, the market will resolve to a fair price in accordance with the rules.
This event is for the upcoming MLS game, scheduled for Saturday, July 25, 2026 between Portland Timbers and Real Salt Lake.
Prediction markets and sportsbooks price outcomes differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. Prediction market odds often reflect longer-term conviction and can diverge from sportsbook lines, especially as new information emerges closer to kickoff. Many traders use both sources to identify value: if a prediction market price differs meaningfully from a sportsbook line, it may signal an edge. Neither is inherently more accurate, but comparing them reveals where consensus breaks down.
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, which can cause prices to diverge even when tracking the same outcome. Polymarket and Kalshi may also have different market designs—order-book depth, minimum bet sizes, and user interfaces shape how quickly prices adjust to new information. Geographic restrictions, platform reputation, and the timing of large trades can also push odds apart temporarily. These gaps typically narrow as traders arbitrage between venues, but real-time differences are normal and often reflect genuine uncertainty rather than mispricing.
Team news—injuries, roster changes, or tactical shifts—can significantly reprrice this market as traders reassess each side's chances. Recent form, head-to-head records, and home-field advantage all influence sentiment and can trigger sharp moves in implied probability. Weather conditions, referee assignments, and late-breaking lineup announcements often spark volatility in the final hours before kickoff. Major betting syndicates or professional traders entering the market can also shift odds quickly. Monitoring team social media, league injury reports, and sports news outlets will help you stay ahead of price-moving developments.