This event group covers multiple total goals and spread markets for the Houston Dynamo vs. Los Angeles FC MLS match scheduled for February 28, 2026. Markets include over/under totals at 1.5, 2.5, 3.5, and 4.5 goals, both teams to score, and various spread outcomes. All markets resolve based on the final score within 90 minutes of regular play plus stoppage time.
Kalshi uses strict greater-than (>) thresholds while Polymarket uses greater-than-or-equal (>=) thresholds for identical over/under goal totals. This creates misalignment at exact threshold values (e.g., exactly 3 goals, exactly 4 goals).
Hero Tip:
Understand your platform's threshold convention before trading. On Polymarket, O/U 2.5 Over wins at 3+ goals. On Kalshi, the equivalent market (Market 4: >2.5) also wins at 3+ goals. However, edge cases like exactly 3 or 4 goals may resolve differently across platforms due to the mathematical difference between > and >=. Always cross-reference the exact wording in each platform's market description.
Critical Divergence Points:
Polymarket: Uses >= (greater-than-or-equal) thresholds. O/U 2.5 resolves Over at 3+ goals, O/U 1.5 at 2+ goals, O/U 3.5 at 4+ goals, O/U 4.5 at 5+ goals. Quote: 'This market will resolve to Over if Houston Dynamo and Los Angeles FC combine to score 3 or more goals.'
Kalshi: Uses > (greater-than) thresholds. Market 1 resolves Yes at 5+ goals (>4.5), Market 2 at 4+ goals (>3.5), Market 3 at 2+ goals (>1.5), Market 4 at 3+ goals (>2.5). Quote: 'If Los Angeles F and Houston collectively score more than 4.5 total goals... then the market resolves to Yes.'
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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