yes Atlanta,yes Detroit,yes Washington,yes Boston,yes Indiana
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:27 UTC | View → |
| Kalshi | — | — | — | 18:59 UTC | View → |
| Kalshi | — | — | — | 19:32 UTC | View → |
| Kalshi | — | — | — | 23:03 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 23:14 UTC | View → |
| Kalshi | — | — | — | 14:21 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 12:54 UTC | View → |
| Kalshi | — | — | — | 16:53 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 23:45 UTC | View → |
| Kalshi | — | — | — | 15:15 UTC | View → |
| Kalshi | — | — | — | 23:47 UTC | View → |
| Kalshi | — | — | — | 19:28 UTC | View → |
| Kalshi | — | — | — | 15:31 UTC | View → |
| Kalshi | — | — | — | 16:53 UTC | View → |
| Kalshi | — | — | — | 19:04 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 21:00 UTC | View → |
| Kalshi | — | — | — | 10:37 UTC | View → |
| Kalshi | — | — | — | 15:46 UTC | View → |
| Kalshi | — | — | — | 19:01 UTC | View → |
| Kalshi | — | — | — | 13:38 UTC | View → |
| Kalshi | — | — | — | 16:42 UTC | View → |
| Kalshi | — | — | — | 15:46 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 10:37 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 12:51 UTC | View → |
| Kalshi | — | — | — | 18:17 UTC | View → |
| Kalshi | — | — | — | 12:32 UTC | View → |
| Kalshi | — | — | — | 00:55 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 00:27 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 22:38 UTC | View → |
| Kalshi | — | — | — | 16:40 UTC | View → |
| Kalshi | — | — | — | 13:35 UTC | View → |
| Kalshi | — | — | — | 23:00 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 23:05 UTC | View → |
| Kalshi | — | — | — | 23:45 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 21:06 UTC | View → |
| Kalshi | — | — | — | 16:28 UTC | View → |
| Kalshi | — | — | — | 23:57 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 00:15 UTC | View → |
| Kalshi | — | — | — | 12:24 UTC | View → |
| Kalshi | — | — | — | 12:50 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 01:12 UTC | View → |
| Kalshi | — | — | — | 12:24 UTC | View → |
| Kalshi | — | — | — | 13:28 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 16:52 UTC | View → |
| Kalshi | — | — | — | 18:51 UTC | View → |
| Kalshi | — | — | — | 11:16 UTC | View → |
| Kalshi | — | — | — | 13:58 UTC | View → |
| Kalshi | — | — | — | 13:04 UTC | View → |
| Kalshi | — | — | — | 14:53 UTC | View → |
| Kalshi | — | — | — | 13:58 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 20:13 UTC | View → |
| Kalshi | — | — | — | 11:16 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 11:16 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 11:06 UTC | View → |
| Kalshi | — | — | — | 12:05 UTC | View → |
| Kalshi | — | — | — | 16:16 UTC | View → |
| Kalshi | — | — | — | 16:02 UTC | View → |
| Kalshi | — | — | — | 20:32 UTC | View → |
| Kalshi | — | — | — | 18:17 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 14:22 UTC | View → |
| Kalshi | — | — | — | 23:36 UTC | View → |
| Kalshi | — | — | — | 16:22 UTC | View → |
| Kalshi | — | — | — | 23:39 UTC | View → |
| Kalshi | — | — | — | 00:29 UTC | View → |
What do these odds mean?
Cross-platform data for yes Atlanta,yes Detroit,yes Washington,yes Boston,yes Indiana 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.