yes Arizona,yes Cincinnati,yes New York M,yes Atlanta,yes Charlotte,yes Houston,yes New York
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 22:20 UTC | View → |
| Kalshi | — | — | — | 21:23 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 17:02 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 19:58 UTC | View → |
| Kalshi | — | — | — | 21:08 UTC | View → |
| Kalshi | — | — | — | 23:47 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 07:51 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 20:00 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 21:23 UTC | View → |
| Kalshi | — | — | — | 22:38 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 12:12 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 22:01 UTC | View → |
| Kalshi | — | — | — | 10:19 UTC | View → |
| Kalshi | — | — | — | 13:54 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 20:21 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 22:45 UTC | View → |
| Kalshi | — | — | — | 21:34 UTC | View → |
| Kalshi | — | — | — | 12:12 UTC | View → |
| Kalshi | — | — | — | 19:39 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 17:29 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 19:39 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 17:46 UTC | View → |
| Kalshi | — | — | — | 20:03 UTC | View → |
| Kalshi | — | — | — | 21:20 UTC | View → |
| Kalshi | — | — | — | 22:40 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 17:49 UTC | View → |
| Kalshi | — | — | — | 12:12 UTC | View → |
| Kalshi | — | — | — | 22:41 UTC | View → |
| Kalshi | — | — | — | 12:14 UTC | View → |
| Kalshi | — | — | — | 20:02 UTC | View → |
| Kalshi | — | — | — | 12:14 UTC | View → |
| Kalshi | — | — | — | 17:29 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 17:29 UTC | View → |
| Kalshi | — | — | — | 17:46 UTC | View → |
What do these odds mean?
Cross-platform data for yes Arizona,yes Cincinnati,yes New York M,yes Atlanta,yes Charlotte,yes Houston,yes New York 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.
News & context
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.