yes Jannik Sinner,yes New York M,yes San Antonio,yes Miami,yes Boston,yes Orlando

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-26
Platform Yes No Volume Last seen Link
Kalshi 18:09 UTC View →
Kalshi 07:25 UTC View →
Kalshi 20:19 UTC View →
Kalshi 05:37 UTC View →
Kalshi 05:41 UTC View →
Kalshi 07:27 UTC View →
Kalshi 07:25 UTC View →
Kalshi 08:42 UTC View →
Kalshi 05:27 UTC View →
Kalshi 10:42 UTC View →
Kalshi 17:25 UTC View →
Kalshi 07:25 UTC View →
Kalshi 12:33 UTC View →
Kalshi 07:27 UTC View →
Kalshi 11:04 UTC View →
Kalshi 15:41 UTC View →
Kalshi 08:17 UTC View →
Kalshi 11:05 UTC View →
Kalshi 07:26 UTC View →
Kalshi 14:31 UTC View →
Kalshi 12:20 UTC View →
Kalshi 04:44 UTC View →
Kalshi 04:53 UTC View →
Kalshi 10:35 UTC View →
Kalshi 04:43 UTC View →
Kalshi 18:04 UTC View →
Kalshi 04:36 UTC View →
Kalshi 15:42 UTC View →
Kalshi 18:16 UTC View →
Kalshi 16:42 UTC View →
Kalshi 05:47 UTC View →
Kalshi 23:45 UTC View →
Kalshi 22:06 UTC View →
Kalshi 10:04 UTC View →
Kalshi 15:43 UTC View →
Kalshi 04:43 UTC View →
Kalshi 08:11 UTC View →
Kalshi 07:26 UTC View →
Kalshi 17:04 UTC View →
Kalshi 15:52 UTC View →
Kalshi 05:46 UTC View →
Kalshi 06:44 UTC View →
Kalshi 16:42 UTC View →
Kalshi 19:51 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 Jannik Sinner,yes New York M,yes San Antonio,yes Miami,yes Boston,yes Orlando 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: 2026-04-12 10:42:24 UTC · Download JSON

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