yes Brooks Koepka,yes Gary Woodland,yes Jacob Bridgeman,yes Jason Day,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Kurt Kitayama,yes Ludvig Aberg,yes Patrick Reed,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Xander Schauffele,yes Xander Schauffele,yes Justin Rose,yes Max Homa,yes Patrick Reed,yes Rory McIlroy,yes Tommy Fleetwood,yes Scottie Scheffler

What do these odds mean?

Cross-platform data for yes Brooks Koepka,yes Gary Woodland,yes Jacob Bridgeman,yes Jason Day,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Kurt Kitayama,yes Ludvig Aberg,yes Patrick Reed,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Xander Schauffele,yes Xander Schauffele,yes Justin Rose,yes Max Homa,yes Patrick Reed,yes Rory McIlroy,yes Tommy Fleetwood,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.

Last updated: 2026-04-10 08:07:10 UTC · Download JSON

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