yes Brooks Koepka,yes Justin Rose,yes Patrick Reed,yes Rory McIlroy,yes Shane Lowry,yes Scottie Scheffler

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-27
Platform Yes No Volume Last seen Link
Kalshi 19:38 UTC View →
Kalshi 18:46 UTC View →
Kalshi 16:13 UTC View →
Kalshi 19:47 UTC View →
Kalshi 17:49 UTC View →
Kalshi 15:34 UTC View →
Kalshi 19:52 UTC View →
Kalshi 15:34 UTC View →
Kalshi 17:49 UTC View →
Kalshi 17:49 UTC View →
Kalshi 13:01 UTC View →
Kalshi 21:03 UTC View →
Kalshi 18:48 UTC View →
Kalshi 21:19 UTC View →
Kalshi 12:35 UTC View →
Kalshi 13:56 UTC View →
Kalshi 12:35 UTC View →
Kalshi 18:36 UTC View →
Kalshi 16:19 UTC View →
Kalshi 15:31 UTC View →
Kalshi 09:52 UTC View →
Kalshi 09:52 UTC View →
Kalshi 17:04 UTC View →
Kalshi 17:03 UTC View →
Kalshi 20:33 UTC View →
Kalshi 15:57 UTC View →
Kalshi 18:38 UTC View →
Kalshi 18:36 UTC View →
Kalshi 17:51 UTC View →
Kalshi 18:59 UTC View →
Kalshi 20:01 UTC View →
Kalshi 18:23 UTC View →
Kalshi 13:09 UTC View →
Kalshi 22:37 UTC View →
Kalshi 18:29 UTC View →
Kalshi 18:02 UTC View →
Kalshi 12:35 UTC View →
Kalshi 07:46 UTC View →
Kalshi 19:03 UTC View →
Kalshi 20:40 UTC View →
Kalshi 18:31 UTC View →
Kalshi 06:00 UTC View →
Kalshi 12:35 UTC View →
Kalshi 02:21 UTC View →
Kalshi 14:19 UTC View →
Kalshi 15:35 UTC View →
Kalshi 22:10 UTC View →
Kalshi 18:26 UTC View →
Kalshi 00:34 UTC View →
Kalshi 21:03 UTC View →
Kalshi 16:57 UTC View →
Kalshi 21:11 UTC View →
Kalshi 22:35 UTC View →
Kalshi 20:40 UTC View →
Kalshi 16:57 UTC View →
Kalshi 12:57 UTC View →
Kalshi 23:39 UTC View →
Kalshi 18:28 UTC View →
Kalshi 13:09 UTC View →
Kalshi 18:31 UTC View →
Kalshi 21:39 UTC View →
Kalshi 22:54 UTC View →
Kalshi 16:30 UTC View →
Kalshi 23:53 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 Brooks Koepka,yes Justin Rose,yes Patrick Reed,yes Rory McIlroy,yes Shane Lowry,yes Scottie Scheffler 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: 2026-04-11 00:34:39 UTC · Download JSON

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