yes Philadelphia,yes Cleveland,yes Charlotte

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-26
Platform Yes No Volume Last seen Link
Kalshi 19:17 UTC View →
Kalshi 08:46 UTC View →
Kalshi 09:38 UTC View →
Kalshi 20:44 UTC View →
Kalshi 10:14 UTC View →
Kalshi 08:35 UTC View →
Kalshi 08:05 UTC View →
Kalshi 08:48 UTC View →
Kalshi 21:30 UTC View →
Kalshi 11:30 UTC View →
Kalshi 07:57 UTC View →
Kalshi 23:06 UTC View →
Kalshi 07:23 UTC View →
Kalshi 13:10 UTC View →
Kalshi 07:44 UTC View →
Kalshi 11:02 UTC View →
Kalshi 20:34 UTC View →
Kalshi 18:21 UTC View →
Kalshi 17:48 UTC View →
Kalshi 22:37 UTC View →
Kalshi 16:26 UTC View →
Kalshi 00:01 UTC View →
Kalshi 11:41 UTC View →
Kalshi 23:15 UTC View →
Kalshi 08:30 UTC View →
Kalshi 23:51 UTC View →
Kalshi 23:55 UTC View →
Kalshi 23:51 UTC View →
Kalshi 08:57 UTC View →
Kalshi 07:21 UTC View →
Kalshi 19:24 UTC View →
Kalshi 20:01 UTC View →
Kalshi 07:57 UTC View →
Kalshi 08:48 UTC View →
Kalshi 10:31 UTC View →
Kalshi 21:36 UTC View →
Kalshi 12:40 UTC View →
Kalshi 13:18 UTC View →
Kalshi 19:24 UTC View →
Kalshi 21:15 UTC View →
Kalshi 19:42 UTC View →
Kalshi 23:58 UTC View →
Kalshi 08:34 UTC View →
Kalshi 11:41 UTC View →
Kalshi 20:39 UTC View →
Kalshi 14:42 UTC View →
Kalshi 07:44 UTC View →
Kalshi 21:00 UTC View →
Kalshi 22:36 UTC View →
Kalshi 21:30 UTC View →
Kalshi 08:57 UTC View →
Kalshi 20:41 UTC View →
Kalshi 19:49 UTC View →
Kalshi 20:48 UTC View →
Kalshi 01:03 UTC View →
Kalshi 15:28 UTC View →
Kalshi 10:46 UTC View →
Kalshi 08:30 UTC View →
Kalshi 08:41 UTC View →
Kalshi 08:57 UTC View →
Kalshi 22:44 UTC View →
Kalshi 10:54 UTC View →
Kalshi 21:00 UTC View →
Kalshi 10:26 UTC View →
Kalshi 08:48 UTC View →
Kalshi 20:31 UTC View →
Kalshi 23:02 UTC View →
Kalshi 07:22 UTC View →
Kalshi 19:37 UTC View →
Kalshi 08:28 UTC View →
Kalshi 17:48 UTC View →
Kalshi 10:07 UTC View →
Kalshi 08:53 UTC View →
Kalshi 08:28 UTC View →
Kalshi 07:37 UTC View →
Kalshi 14:01 UTC View →
Kalshi 11:29 UTC View →
Kalshi 10:23 UTC View →
Kalshi 11:08 UTC View →
Kalshi 08:57 UTC View →
Kalshi 23:33 UTC View →
Kalshi 22:21 UTC View →
Kalshi 00:13 UTC View →
Kalshi 20:57 UTC View →
Kalshi 18:35 UTC View →
Kalshi 19:49 UTC View →
Kalshi 17:43 UTC View →
Kalshi 10:28 UTC View →
Kalshi 18:16 UTC View →
Kalshi 12:43 UTC View →
Kalshi 05:25 UTC View →
Kalshi 04:51 UTC View →
Kalshi 08:38 UTC View →
Kalshi 08:01 UTC View →
Kalshi 23:29 UTC View →
Kalshi 00:22 UTC View →
Kalshi 07:51 UTC View →
Kalshi 07:36 UTC View →
Kalshi 08:13 UTC View →
Kalshi 11:05 UTC View →
Kalshi 06:25 UTC View →
Kalshi 12:49 UTC View →
Kalshi 21:58 UTC View →
Kalshi 07:57 UTC View →
Kalshi 08:30 UTC View →
Kalshi 23:09 UTC View →
Kalshi 21:06 UTC View →
Kalshi 08:16 UTC View →
Kalshi 10:21 UTC View →
Kalshi 19:26 UTC View →
Kalshi 09:42 UTC View →
Kalshi 10:25 UTC View →
Kalshi 07:47 UTC View →
Kalshi 07:37 UTC View →
Kalshi 21:05 UTC View →
Kalshi 08:22 UTC View →
Kalshi 08:52 UTC View →
Kalshi 00:58 UTC View →
Kalshi 07:53 UTC View →
Kalshi 20:39 UTC View →
Kalshi 21:03 UTC View →
Kalshi 10:37 UTC View →
Kalshi 07:22 UTC View →
Kalshi 10:31 UTC View →
Kalshi 10:22 UTC View →
Kalshi 20:01 UTC View →
Kalshi 19:57 UTC View →
Kalshi 20:51 UTC View →
Kalshi 00:29 UTC View →
Kalshi 13:40 UTC View →
Kalshi 10:24 UTC View →
Kalshi 00:01 UTC View →
Kalshi 07:37 UTC View →
Kalshi 08:20 UTC View →
Kalshi 21:09 UTC View →
Kalshi 21:30 UTC View →
Kalshi 06:25 UTC View →
Kalshi 17:43 UTC View →
Kalshi 13:04 UTC View →
Kalshi 10:30 UTC View →
Kalshi 10:30 UTC View →
Kalshi 20:23 UTC View →
Kalshi 08:52 UTC View →
Kalshi 08:40 UTC View →
Kalshi 08:30 UTC View →
Kalshi 10:26 UTC View →
Kalshi 07:36 UTC View →
Kalshi 10:28 UTC View →
Kalshi 10:29 UTC View →
Kalshi 23:17 UTC View →
Kalshi 00:01 UTC View →
Kalshi 18:12 UTC View →
Kalshi 05:42 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 Philadelphia,yes Cleveland,yes Charlotte 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 21:15:35 UTC · Download JSON

News & context

Your edge calculator

Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.

EV per $1:  ·  ¼ Kelly:  ·  Side: