yes Justin Rose,yes Kurt Kitayama,yes Patrick Reed,yes Rory McIlroy,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Tommy Fleetwood,yes Xander Schauffele

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-26
Platform Yes No Volume Last seen Link
Kalshi 09:38 UTC View →
Kalshi 07:54 UTC View →
Kalshi 11:49 UTC View →
Kalshi 11:49 UTC View →
Kalshi 11:49 UTC View →
Kalshi 11:21 UTC View →
Kalshi 08:48 UTC View →
Kalshi 11:49 UTC View →
Kalshi 14:39 UTC View →
Kalshi 08:06 UTC View →
Kalshi 11:25 UTC View →
Kalshi 11:21 UTC View →
Kalshi 11:49 UTC View →
Kalshi 08:48 UTC View →
Kalshi 08:48 UTC View →
Kalshi 11:49 UTC View →
Kalshi 05:22 UTC View →
Kalshi 05:29 UTC View →
Kalshi 11:21 UTC View →
Kalshi 05:22 UTC View →
Kalshi 11:52 UTC View →
Kalshi 11:53 UTC View →
Kalshi 08:48 UTC View →
Kalshi 07:46 UTC View →
Kalshi 11:42 UTC View →
Kalshi 11:50 UTC View →
Kalshi 05:51 UTC View →
Kalshi 10:22 UTC View →
Kalshi 10:36 UTC View →
Kalshi 05:30 UTC View →
Kalshi 11:32 UTC View →
Kalshi 09:59 UTC View →
Kalshi 09:18 UTC View →
Kalshi 09:59 UTC View →
Kalshi 11:56 UTC View →
Kalshi 11:56 UTC View →
Kalshi 09:18 UTC View →
Kalshi 09:59 UTC View →
Kalshi 11:56 UTC View →
Kalshi 13:25 UTC View →
Kalshi 14:39 UTC View →
Kalshi 06:29 UTC View →
Kalshi 13:23 UTC View →
Kalshi 07:58 UTC View →
Kalshi 13:23 UTC View →
Kalshi 11:56 UTC View →
Kalshi 11:56 UTC View →
Kalshi 23:18 UTC View →
Kalshi 14:36 UTC View →
Kalshi 05:31 UTC View →
Kalshi 08:39 UTC View →
Kalshi 11:16 UTC View →
Kalshi 13:23 UTC View →
Kalshi 09:59 UTC View →
Kalshi 12:02 UTC View →
Kalshi 10:09 UTC View →
Kalshi 11:39 UTC View →
Kalshi 14:39 UTC View →
Kalshi 10:22 UTC View →
Kalshi 14:39 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 Justin Rose,yes Kurt Kitayama,yes Patrick Reed,yes Rory McIlroy,yes Sam Burns,yes Shane Lowry,yes Scottie Scheffler,yes Tommy Fleetwood,yes Xander Schauffele 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 23:18:39 UTC · Download JSON

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