yes Miami,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Jason Day,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Kurt Kitayama,yes Patrick Reed,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Xander Schauffele,yes Rory McIlroy,yes Scottie Scheffler
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:04 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miami,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Jason Day,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Kurt Kitayama,yes Patrick Reed,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Xander Schauffele,yes Rory McIlroy,yes Scottie Scheffler 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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