yes Akshay Bhatia,yes Adam Scott,yes Brooks Koepka,yes Corey Conners,yes Chris Gotterup,yes Cameron Smith,yes Hao-Tong Li,yes Jacob Bridgeman,yes Jake Knapp,yes J.J. Spaun,yes Jordan Spieth,yes Ludvig Aberg,yes Sam Stevens,yes Wyndham Clark

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-05-10
Platform Yes No Volume Last seen Link
Kalshi 05:54 UTC View →
Kalshi 05:54 UTC View →
Kalshi 05:54 UTC View →
Kalshi 05:35 UTC View →
Kalshi 05:54 UTC View →
Kalshi 05:32 UTC View →
Kalshi 04:30 UTC View →
Kalshi 04:30 UTC View →
Kalshi 04:30 UTC View →
Kalshi 04:30 UTC View →
Kalshi 05:32 UTC View →
Kalshi 04:30 UTC View →
Kalshi 07:44 UTC View →
Kalshi 07:16 UTC View →
Kalshi 05:12 UTC View →
Kalshi 05:12 UTC View →
Kalshi 05:11 UTC View →
Kalshi 06:49 UTC View →
Kalshi 06:10 UTC View →
Kalshi 06:09 UTC View →
Kalshi 07:15 UTC View →
Kalshi 05:15 UTC View →
Kalshi 06:49 UTC View →
Kalshi 04:49 UTC View →
Kalshi 06:49 UTC View →
Kalshi 06:09 UTC View →
Kalshi 07:16 UTC View →
Kalshi 06:56 UTC View →
Kalshi 06:56 UTC View →
Kalshi 07:16 UTC View →
Kalshi 06:49 UTC View →
Kalshi 07:15 UTC View →
Kalshi 06:10 UTC View →
Kalshi 06:49 UTC View →
Kalshi 06:56 UTC View →
Kalshi 05:15 UTC View →
Kalshi 06:49 UTC View →
Kalshi 06:56 UTC View →
Kalshi 06:09 UTC View →
Kalshi 06:09 UTC View →
Kalshi 06:49 UTC View →
Kalshi 05:15 UTC View →
Kalshi 05:15 UTC View →
Kalshi 06:56 UTC View →
Kalshi 07:16 UTC View →
Kalshi 06:10 UTC View →
Kalshi 04:49 UTC View →
Kalshi 07:15 UTC View →
Kalshi 07:57 UTC View →
Kalshi 07:15 UTC View →
Kalshi 07:43 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 Akshay Bhatia,yes Adam Scott,yes Brooks Koepka,yes Corey Conners,yes Chris Gotterup,yes Cameron Smith,yes Hao-Tong Li,yes Jacob Bridgeman,yes Jake Knapp,yes J.J. Spaun,yes Jordan Spieth,yes Ludvig Aberg,yes Sam Stevens,yes Wyndham Clark 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 07:57:10 UTC · Download JSON

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