yes Ben Griffin,yes Brian Harman,yes Cameron Young,yes Collin Morikawa,yes Dustin Johnson,yes Harris English,yes Jake Knapp,yes Jon Rahm,yes Keegan Bradley,yes Matt Fitzpatrick,yes Max Homa,yes Matthew McCarty,yes Maverick McNealy,yes Marco Penge,yes Nick Taylor,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Shane Lowry,yes Tommy Fleetwood,yes Viktor Hovland

What do these odds mean?

Cross-platform data for yes Ben Griffin,yes Brian Harman,yes Cameron Young,yes Collin Morikawa,yes Dustin Johnson,yes Harris English,yes Jake Knapp,yes Jon Rahm,yes Keegan Bradley,yes Matt Fitzpatrick,yes Max Homa,yes Matthew McCarty,yes Maverick McNealy,yes Marco Penge,yes Nick Taylor,yes Patrick Reed,yes Ryan Gerard,yes Russell Henley,yes Shane Lowry,yes Tommy Fleetwood,yes Viktor Hovland 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 19:30:39 UTC · Download JSON

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