yes Brooks Koepka,yes Jason Day,yes Ludvig Aberg,yes Justin Rose,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 21:30 UTC View →
Kalshi 16:07 UTC View →
Kalshi 21:31 UTC View →
Kalshi 07:28 UTC View →
Kalshi 15:29 UTC View →
Kalshi 18:57 UTC View →
Kalshi 21:02 UTC View →
Kalshi 07:29 UTC View →
Kalshi 15:44 UTC View →
Kalshi 23:59 UTC View →
Kalshi 18:57 UTC View →
Kalshi 19:42 UTC View →
Kalshi 07:29 UTC View →
Kalshi 02:17 UTC View →
Kalshi 21:02 UTC View →
Kalshi 16:20 UTC View →
Kalshi 07:49 UTC View →
Kalshi 07:28 UTC View →
Kalshi 22:14 UTC View →
Kalshi 22:36 UTC View →
Kalshi 16:08 UTC View →
Kalshi 07:28 UTC View →
Kalshi 19:48 UTC View →
Kalshi 14:13 UTC View →
Kalshi 02:21 UTC View →
Kalshi 07:31 UTC View →
Kalshi 17:08 UTC View →
Kalshi 07:31 UTC View →
Kalshi 13:19 UTC View →
Kalshi 15:56 UTC View →
Kalshi 09:52 UTC View →
Kalshi 15:55 UTC View →
Kalshi 14:09 UTC View →
Kalshi 08:00 UTC View →
Kalshi 20:24 UTC View →
Kalshi 17:39 UTC View →
Kalshi 06:18 UTC View →
Kalshi 20:25 UTC View →
Kalshi 18:59 UTC View →
Kalshi 07:31 UTC View →
Kalshi 07:31 UTC View →
Kalshi 19:25 UTC View →
Kalshi 15:21 UTC View →
Kalshi 06:17 UTC View →
Kalshi 07:16 UTC View →
Kalshi 15:31 UTC View →
Kalshi 07:16 UTC View →
Kalshi 06:53 UTC View →
Kalshi 21:07 UTC View →
Kalshi 02:23 UTC View →
Kalshi 06:18 UTC View →
Kalshi 18:20 UTC View →
Kalshi 18:20 UTC View →
Kalshi 15:55 UTC View →
Kalshi 18:59 UTC View →
Kalshi 15:55 UTC View →
Kalshi 16:59 UTC View →
Kalshi 07:31 UTC View →
Kalshi 21:07 UTC View →
Kalshi 21:50 UTC View →
Kalshi 02:23 UTC View →
Kalshi 15:17 UTC View →
Kalshi 02:21 UTC View →
Kalshi 15:32 UTC View →
Kalshi 07:26 UTC View →
Kalshi 22:43 UTC View →
Kalshi 07:16 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 Jason Day,yes Ludvig Aberg,yes Justin Rose,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: 2026-04-10 23:59:39 UTC · Download JSON

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