Live prediction market odds for Austin FC vs. San Jose Earthquakes. Compare prices across Kalshi and Polymarket.
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Kalshi / Polymarket
2026-04-22
Austin FC vs. San Jose Earthquakes — Major League Soccer game scheduled for 2026-04-22. Compare live prediction market odds from Kalshi, Polymarket, and more on Prediction Hunt.
San Jose Earthquakes leads the “Austin FC vs. San Jose Earthquakes” event at 57.5% implied probability. Other contenders include Draw (22.8%), and Austin FC (18.5%). A 4.0% cross-platform spread signals an active arbitrage window.
Austin FC vs. San Jose Earthquakes is a prediction market event currently tracked across 2 platforms (Kalshi, Polymarket). San Jose Earthquakes leads at 58% implied probability, making it the market favorite. Other contenders include Draw at 23%, Austin FC at 19%.
San Jose Earthquakes currently leads at 58% implied probability. Behind San Jose Earthquakes, Draw at 23% and Austin FC at 19% are the next closest contenders. The 4.0% cross-platform spread suggested platforms were pricing new information differently, creating potential trading opportunities.
Here are the latest odds across Kalshi, Polymarket: San Jose Earthquakes: 56¢ on Kalshi, 60¢ on Polymarket. Draw: 23¢ on Kalshi, 23¢ on Polymarket. Austin FC: 19¢ on Kalshi, 18¢ on Polymarket. The 4.0% spread across platforms highlights where markets disagree — a gap traders can exploit by buying low on one platform and selling high on another.
A price of 58¢ means the market estimates a 58% probability that San Jose Earthquakes will be the outcome. Buying one share at 58¢ pays out $1.00 if correct — a 72% return — or $0 if wrong. This is the core mechanic of prediction markets: the price directly reflects the crowd's probability estimate.
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This market resolves based on official announcements from authoritative sources. Prediction Hunt aggregates odds across platforms but does not determine outcomes. Each platform maintains its own resolution criteria — check each platform's rules before trading.
San Jose Earthquakes
57.5% avg
