yes Andrew Novak,yes Brian Campbell,yes Bryson DeChambeau,yes Corey Conners,yes Collin Morikawa,yes Charl Schwartzel,yes Cameron Smith,yes Daniel Berger,yes Dustin Johnson,yes Ethan Fang,yes Michael Kim,yes Maverick McNealy,yes Marco Penge,yes Nicolai Hojgaard,yes Sungjae Im,yes Tyrrell Hatton,yes Tom McKibbin,yes Viktor Hovland,yes Zach Johnson

What do these odds mean?

Cross-platform data for yes Andrew Novak,yes Brian Campbell,yes Bryson DeChambeau,yes Corey Conners,yes Collin Morikawa,yes Charl Schwartzel,yes Cameron Smith,yes Daniel Berger,yes Dustin Johnson,yes Ethan Fang,yes Michael Kim,yes Maverick McNealy,yes Marco Penge,yes Nicolai Hojgaard,yes Sungjae Im,yes Tyrrell Hatton,yes Tom McKibbin,yes Viktor Hovland,yes Zach Johnson 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 09:53:10 UTC · Download JSON

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