yes Corey Conners,yes Collin Morikawa,yes Cameron Smith,yes Daniel Berger,yes Dustin Johnson,yes Min Woo Lee,yes Nicolai Hojgaard,yes Zach Johnson

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-05-10
Platform Yes No Volume Last seen Link
Kalshi 06:14 UTC View →
Kalshi 02:12 UTC View →
Kalshi 06:12 UTC View →
Kalshi 02:12 UTC View →
Kalshi 02:12 UTC View →
Kalshi 07:37 UTC View →
Kalshi 11:46 UTC View →
Kalshi 10:35 UTC View →
Kalshi 09:43 UTC View →
Kalshi 06:01 UTC View →
Kalshi 07:37 UTC View →
Kalshi 06:01 UTC View →
Kalshi 06:02 UTC View →
Kalshi 06:02 UTC View →
Kalshi 06:02 UTC View →
Kalshi 06:02 UTC View →
No history yet — first few snapshots pending.
Probability history, most recent 30 days

What do these odds mean?

Cross-platform data for yes Corey Conners,yes Collin Morikawa,yes Cameron Smith,yes Daniel Berger,yes Dustin Johnson,yes Min Woo Lee,yes Nicolai Hojgaard,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 11:46:10 UTC · Download JSON

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