yes Francesco Maestrelli,yes Nikoloz Basilashvili,yes Aleksandar Vukic,yes Arizona,yes Miami,yes Los Angeles A,yes Minnesota,yes A's,yes San Francisco,yes Chicago WS,yes Washington,yes Colorado,yes Houston,yes Texas,yes St. Louis,yes Milwaukee,yes Cleveland,yes San Antonio,yes Detroit,yes Los Angeles C,yes Utah,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes Los Angeles L
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:17 UTC | View → |
What do these odds mean?
Cross-platform data for yes Francesco Maestrelli,yes Nikoloz Basilashvili,yes Aleksandar Vukic,yes Arizona,yes Miami,yes Los Angeles A,yes Minnesota,yes A's,yes San Francisco,yes Chicago WS,yes Washington,yes Colorado,yes Houston,yes Texas,yes St. Louis,yes Milwaukee,yes Cleveland,yes San Antonio,yes Detroit,yes Los Angeles C,yes Utah,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes Los Angeles L is still being collected.
How to read cross-platform spreads
When two platforms price the same event meaningfully differently, it usually means one of three things: liquidity is thin on one side, fee structures are pushing a spread, or traders on one platform have information the other lacks. Spreads larger than 5 percentage points on events with over $50K in volume often resolve toward the higher-volume platform's price.
About this data
Beeks.ai aggregates prediction market data from Polymarket, Kalshi, and Manifold. Updates run every minute. Consensus probability is a volume-weighted average across all matched markets. Historical snapshots are stored for calibration analysis.
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