yes Brian Harman,yes Dustin Johnson,yes Jon Rahm,yes Keegan Bradley,yes Kurt Kitayama,yes Matt Fitzpatrick,yes Patrick Cantlay,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Viktor Hovland,yes Si Woo Kim
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:39 UTC | View → |
What do these odds mean?
Cross-platform data for yes Brian Harman,yes Dustin Johnson,yes Jon Rahm,yes Keegan Bradley,yes Kurt Kitayama,yes Matt Fitzpatrick,yes Patrick Cantlay,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Viktor Hovland,yes Si Woo Kim 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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