no New York M wins by over 1.5 runs,no Over 7.5 runs scored

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-16
Platform Yes No Volume Last seen Link
Kalshi 13:44 UTC View →
Kalshi 01:03 UTC View →
Kalshi 23:03 UTC View →
Kalshi 16:33 UTC View →
Kalshi 16:33 UTC View →
Kalshi 20:15 UTC View →
Kalshi 07:56 UTC View →
Kalshi 23:02 UTC View →
Kalshi 23:39 UTC View →
Kalshi 07:57 UTC View →
Kalshi 23:25 UTC View →
Kalshi 15:08 UTC View →
Kalshi 07:57 UTC View →
Kalshi 19:38 UTC View →
Kalshi 16:23 UTC View →
Kalshi 21:49 UTC View →
Kalshi 06:28 UTC View →
Kalshi 23:17 UTC View →
Kalshi 07:55 UTC View →
Kalshi 07:56 UTC View →
Kalshi 07:56 UTC View →
Kalshi 18:56 UTC View →
Kalshi 12:28 UTC View →
Kalshi 11:34 UTC View →
Kalshi 07:14 UTC View →
Kalshi 07:56 UTC View →
Kalshi 12:22 UTC View →
Kalshi 07:29 UTC View →
Kalshi 15:19 UTC View →
Kalshi 21:26 UTC View →
Kalshi 07:29 UTC View →
Kalshi 00:05 UTC View →
Kalshi 20:51 UTC View →
Kalshi 18:29 UTC View →
Kalshi 13:44 UTC View →
Kalshi 19:33 UTC View →
Kalshi 23:50 UTC View →
Kalshi 21:50 UTC View →
Kalshi 15:15 UTC View →
Kalshi 16:32 UTC View →
Kalshi 09:29 UTC View →
Kalshi 09:29 UTC View →
Kalshi 19:57 UTC View →
Kalshi 23:00 UTC View →
Kalshi 12:19 UTC View →
Kalshi 11:29 UTC View →
Kalshi 21:52 UTC View →
Kalshi 21:52 UTC View →
Kalshi 07:24 UTC View →
Kalshi 22:06 UTC View →
Kalshi 19:04 UTC View →
Kalshi 23:41 UTC View →
Kalshi 18:43 UTC View →
Kalshi 21:35 UTC View →
Kalshi 10:19 UTC View →
Kalshi 23:07 UTC View →
Kalshi 20:51 UTC View →
Kalshi 00:48 UTC View →
Kalshi 12:39 UTC View →
Kalshi 21:43 UTC View →
Kalshi 01:45 UTC View →
Kalshi 14:01 UTC View →
Kalshi 00:29 UTC View →
Kalshi 00:29 UTC View →
Kalshi 15:15 UTC View →
Kalshi 22:48 UTC View →
Kalshi 01:45 UTC View →
Kalshi 23:09 UTC View →
Kalshi 23:18 UTC View →
No history yet — first few snapshots pending.
Probability history, most recent 30 days

What do these odds mean?

Cross-platform data for no New York M wins by over 1.5 runs,no Over 7.5 runs scored 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 01:45:27 UTC · Download JSON

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