yes Alex de Minaur,yes Akshay Bhatia,yes Aaron Rai,yes Adam Scott,yes Bryson DeChambeau,yes Ben Griffin,yes Brooks Koepka,yes Cameron Young,yes Chris Gotterup,yes Collin Morikawa,yes Dustin Johnson,yes Gary Woodland,yes Harris English,yes Hao-Tong Li,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Jason Day,yes Jake Knapp,yes Jon Rahm,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Keegan Bradley,yes Kurt Kitayama,yes Ludvig Aberg,yes Michael Brennan,yes Matt Fitzpatrick,yes Matthew McCarty,yes Marco Penge,yes Nick Taylor,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Rory McIlroy,yes Sam Burns,yes Sergio Garcia,yes Sungjae Im,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Viktor Hovland,yes Wyndham Clark,yes Si Woo Kim,yes Xander Schauffele,yes Mirra Andreeva
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 16:08 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
What do these odds mean?
Cross-platform data for yes Alex de Minaur,yes Akshay Bhatia,yes Aaron Rai,yes Adam Scott,yes Bryson DeChambeau,yes Ben Griffin,yes Brooks Koepka,yes Cameron Young,yes Chris Gotterup,yes Collin Morikawa,yes Dustin Johnson,yes Gary Woodland,yes Harris English,yes Hao-Tong Li,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Jason Day,yes Jake Knapp,yes Jon Rahm,yes Justin Rose,yes Jordan Spieth,yes Justin Thomas,yes Keegan Bradley,yes Kurt Kitayama,yes Ludvig Aberg,yes Michael Brennan,yes Matt Fitzpatrick,yes Matthew McCarty,yes Marco Penge,yes Nick Taylor,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Rory McIlroy,yes Sam Burns,yes Sergio Garcia,yes Sungjae Im,yes Shane Lowry,yes Scottie Scheffler,yes Sepp Straka,yes Tommy Fleetwood,yes Viktor Hovland,yes Wyndham Clark,yes Si Woo Kim,yes Xander Schauffele,yes Mirra Andreeva 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.
News & context
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.