yes Pittsburgh,yes Detroit,yes Seattle
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 15:09 UTC | View → |
| Kalshi | — | — | — | 13:43 UTC | View → |
| Kalshi | — | — | — | 16:39 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 14:58 UTC | View → |
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 16:41 UTC | View → |
| Kalshi | — | — | — | 06:21 UTC | View → |
| Kalshi | — | — | — | 20:39 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 01:01 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 20:42 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 19:57 UTC | View → |
| Kalshi | — | — | — | 19:44 UTC | View → |
| Kalshi | — | — | — | 12:39 UTC | View → |
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 14:11 UTC | View → |
| Kalshi | — | — | — | 15:23 UTC | View → |
| Kalshi | — | — | — | 13:43 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 06:44 UTC | View → |
| Kalshi | — | — | — | 18:03 UTC | View → |
| Kalshi | — | — | — | 15:33 UTC | View → |
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 14:46 UTC | View → |
| Kalshi | — | — | — | 18:33 UTC | View → |
| Kalshi | — | — | — | 14:57 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 14:57 UTC | View → |
| Kalshi | — | — | — | 17:52 UTC | View → |
| Kalshi | — | — | — | 20:41 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 15:16 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 18:23 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 16:45 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 13:49 UTC | View → |
| Kalshi | — | — | — | 06:23 UTC | View → |
| Kalshi | — | — | — | 08:40 UTC | View → |
| Kalshi | — | — | — | 20:02 UTC | View → |
| Kalshi | — | — | — | 20:17 UTC | View → |
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 15:12 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 07:21 UTC | View → |
| Kalshi | — | — | — | 17:33 UTC | View → |
| Kalshi | — | — | — | 16:26 UTC | View → |
| Kalshi | — | — | — | 07:47 UTC | View → |
| Kalshi | — | — | — | 11:04 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 07:20 UTC | View → |
| Kalshi | — | — | — | 08:36 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 11:04 UTC | View → |
| Kalshi | — | — | — | 20:26 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 20:13 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 17:10 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 07:52 UTC | View → |
| Kalshi | — | — | — | 21:01 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 18:14 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 19:13 UTC | View → |
| Kalshi | — | — | — | 06:12 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 20:37 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 17:33 UTC | View → |
| Kalshi | — | — | — | 20:24 UTC | View → |
| Kalshi | — | — | — | 17:55 UTC | View → |
| Kalshi | — | — | — | 17:13 UTC | View → |
What do these odds mean?
Cross-platform data for yes Pittsburgh,yes Detroit,yes Seattle 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.