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, 11:34 PM EST
Kalshi
This market focuses on whether both San Jose and Orlando will each score at least one goal during the first half of their MLS match on July 22, 2026. Only goals scored before halftime are counted, including own goals credited to the scoring team.
If San Jose and Orlando both score a goal in the 1st Half of the San Jose vs Orlando MLS match originally scheduled for Jul 22, 2026, then the market resolves to Yes.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are driven by trader consensus and real-money conviction. Traders on Kalshi may price this market differently than traditional sportsbooks because they're betting their own capital on the outcome rather than managing risk for a business. Comparing the two can reveal where smart money sees value relative to conventional betting lines.
On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for yes and no contracts. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the probability traders assign to both teams scoring in the first half, with contracts trading between 0 and 100 cents. As new trades execute, the midpoint price updates in real time, and larger trades can move the price more significantly depending on available liquidity at each price level.
This market resolves around Jul 23, 2026, once the first half of the San Jose vs Orlando match concludes. The outcome is determined by whether both teams have scored at least one goal each during that period. Resolution is verified against credible public sources such as official league records or widely recognized sports data providers to ensure accuracy and fairness for all traders.
Several factors can shift odds in this market before kickoff and during the first half. Team news—injuries to key players, lineup changes, or tactical adjustments—can alter scoring expectations. Recent form, head-to-head history, and weather conditions on match day all influence how traders assess the likelihood of both teams scoring. Once the match begins, early goals, red cards, or defensive lapses will trigger rapid repricing as the probability of the outcome becomes clearer. Monitoring pre-match analysis and live action helps traders identify when the market may be mispriced.