yes Akshay Bhatia,yes Brian Harman,yes Cameron Young,yes Corey Conners,yes Dustin Johnson,yes Gary Woodland,yes Harris English,yes Hao-Tong Li,yes Hideki Matsuyama,yes Jason Day,yes Jake Knapp,yes Jordan Spieth,yes Justin Thomas,yes Keegan Bradley,yes Kurt Kitayama,yes Kristoffer Reitan,yes Matt Fitzpatrick,yes Max Homa,yes Matthew McCarty,yes Maverick McNealy,yes Marco Penge,yes Nick Taylor,yes Ryan Gerard,yes Russell Henley,yes Sepp Straka,yes Tommy Fleetwood,yes Viktor Hovland,yes Si Woo Kim,yes Justin Rose,yes Rory McIlroy
What do these odds mean?
Cross-platform data for yes Akshay Bhatia,yes Brian Harman,yes Cameron Young,yes Corey Conners,yes Dustin Johnson,yes Gary Woodland,yes Harris English,yes Hao-Tong Li,yes Hideki Matsuyama,yes Jason Day,yes Jake Knapp,yes Jordan Spieth,yes Justin Thomas,yes Keegan Bradley,yes Kurt Kitayama,yes Kristoffer Reitan,yes Matt Fitzpatrick,yes Max Homa,yes Matthew McCarty,yes Maverick McNealy,yes Marco Penge,yes Nick Taylor,yes Ryan Gerard,yes Russell Henley,yes Sepp Straka,yes Tommy Fleetwood,yes Viktor Hovland,yes Si Woo Kim,yes Justin Rose,yes Rory McIlroy 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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