yes Minnesota,yes New York M,yes New York Y,no Detroit wins by over 1.5 runs,yes Los Angeles D wins by over 1.5 runs,yes Josh Hokit,yes Esteban Ribovics,yes Randy Brown,yes Azamat Murzakanov,yes Francisco Prado,yes Lupita Godinez,yes Nate Landwehr

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-16
Platform Yes No Volume Last seen Link
Kalshi 08:17 UTC View →
Kalshi 06:34 UTC View →
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Kalshi 23:39 UTC View →
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Kalshi 12:31 UTC View →
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Kalshi 15:06 UTC View →
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Kalshi 06:32 UTC View →
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Kalshi 23:39 UTC View →
Kalshi 00:22 UTC View →
Kalshi 07:27 UTC View →
Kalshi 06:33 UTC View →
Kalshi 10:35 UTC View →
Kalshi 10:35 UTC View →
Kalshi 17:26 UTC View →
Kalshi 17:15 UTC View →
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Kalshi 06:33 UTC View →
Kalshi 12:28 UTC View →
Kalshi 14:17 UTC View →
Kalshi 08:02 UTC View →
Kalshi 23:23 UTC View →
Kalshi 23:23 UTC View →
Kalshi 17:26 UTC View →
Kalshi 23:26 UTC View →
Kalshi 01:06 UTC View →
Kalshi 08:17 UTC View →
Kalshi 01:21 UTC View →
Kalshi 14:50 UTC View →
Kalshi 23:34 UTC View →
Kalshi 22:15 UTC View →
Kalshi 09:23 UTC View →
Kalshi 11:51 UTC View →
Kalshi 07:55 UTC View →
Kalshi 23:30 UTC View →
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Kalshi 10:41 UTC View →
Kalshi 21:38 UTC View →
Kalshi 08:19 UTC View →
Kalshi 08:24 UTC View →
Kalshi 08:23 UTC View →
Kalshi 08:53 UTC View →
Kalshi 08:27 UTC View →
Kalshi 22:19 UTC View →
Kalshi 16:11 UTC View →
Kalshi 00:27 UTC View →
Kalshi 22:54 UTC View →
Kalshi 21:12 UTC View →
Kalshi 17:44 UTC View →
Kalshi 09:14 UTC View →
Kalshi 20:50 UTC View →
Kalshi 08:38 UTC View →
Kalshi 07:25 UTC View →
Kalshi 16:11 UTC View →
Kalshi 23:19 UTC View →
Kalshi 08:58 UTC View →
Kalshi 07:56 UTC View →
Kalshi 23:27 UTC View →
Kalshi 07:25 UTC View →
Kalshi 18:43 UTC View →
Kalshi 23:27 UTC View →
Kalshi 08:58 UTC View →
Kalshi 06:34 UTC View →
Kalshi 08:24 UTC View →
Kalshi 20:08 UTC View →
Kalshi 22:27 UTC View →
Kalshi 07:54 UTC View →
Kalshi 10:41 UTC View →
Kalshi 11:44 UTC View →
Kalshi 06:36 UTC View →
Kalshi 08:28 UTC View →
Kalshi 10:41 UTC View →
Kalshi 08:58 UTC View →
Kalshi 08:24 UTC View →
Kalshi 08:42 UTC View →
Kalshi 08:24 UTC View →
Kalshi 08:34 UTC View →
Kalshi 23:41 UTC View →
Kalshi 23:22 UTC View →
Kalshi 08:36 UTC View →
Kalshi 19:15 UTC View →
Kalshi 08:58 UTC View →
Kalshi 07:54 UTC View →
Kalshi 23:41 UTC View →
Kalshi 23:18 UTC View →
Kalshi 09:23 UTC View →
Kalshi 11:51 UTC View →
Kalshi 21:35 UTC View →
Kalshi 23:46 UTC View →
Kalshi 23:33 UTC View →
Kalshi 17:14 UTC View →
Kalshi 08:21 UTC View →
Kalshi 19:30 UTC View →
Kalshi 06:34 UTC View →
Kalshi 07:22 UTC View →
Kalshi 23:23 UTC View →
Kalshi 08:33 UTC View →
Kalshi 08:28 UTC View →
Kalshi 23:23 UTC View →
Kalshi 08:28 UTC View →
Kalshi 22:45 UTC View →
Kalshi 23:59 UTC View →
Kalshi 17:36 UTC View →
Kalshi 17:43 UTC View →
Kalshi 11:44 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 Minnesota,yes New York M,yes New York Y,no Detroit wins by over 1.5 runs,yes Los Angeles D wins by over 1.5 runs,yes Josh Hokit,yes Esteban Ribovics,yes Randy Brown,yes Azamat Murzakanov,yes Francisco Prado,yes Lupita Godinez,yes Nate Landwehr 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: 2026-04-14 01:21:59 UTC · Download JSON

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