yes Detroit,yes Houston,yes Denver,yes Phoenix
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:19 UTC | View → |
| Kalshi | — | — | — | 09:41 UTC | View → |
| Kalshi | — | — | — | 08:41 UTC | View → |
| Kalshi | — | — | — | 19:10 UTC | View → |
| Kalshi | — | — | — | 11:10 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
| Kalshi | — | — | — | 20:58 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 09:05 UTC | View → |
| Kalshi | — | — | — | 20:59 UTC | View → |
| Kalshi | — | — | — | 02:17 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 08:41 UTC | View → |
| Kalshi | — | — | — | 06:21 UTC | View → |
| Kalshi | — | — | — | 04:41 UTC | View → |
| Kalshi | — | — | — | 12:07 UTC | View → |
| Kalshi | — | — | — | 20:45 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 05:25 UTC | View → |
| Kalshi | — | — | — | 10:55 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 04:31 UTC | View → |
| Kalshi | — | — | — | 05:18 UTC | View → |
| Kalshi | — | — | — | 07:06 UTC | View → |
| Kalshi | — | — | — | 16:18 UTC | View → |
| Kalshi | — | — | — | 12:04 UTC | View → |
| Kalshi | — | — | — | 07:44 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 15:24 UTC | View → |
| Kalshi | — | — | — | 04:31 UTC | View → |
| Kalshi | — | — | — | 07:06 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 11:28 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 07:52 UTC | View → |
| Kalshi | — | — | — | 19:50 UTC | View → |
| Kalshi | — | — | — | 15:03 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 09:07 UTC | View → |
| Kalshi | — | — | — | 08:55 UTC | View → |
| Kalshi | — | — | — | 14:38 UTC | View → |
| Kalshi | — | — | — | 20:51 UTC | View → |
| Kalshi | — | — | — | 09:07 UTC | View → |
| Kalshi | — | — | — | 13:59 UTC | View → |
| Kalshi | — | — | — | 14:36 UTC | View → |
| Kalshi | — | — | — | 16:44 UTC | View → |
| Kalshi | — | — | — | 15:31 UTC | View → |
| Kalshi | — | — | — | 22:19 UTC | View → |
| Kalshi | — | — | — | 15:06 UTC | View → |
| Kalshi | — | — | — | 22:19 UTC | View → |
| Kalshi | — | — | — | 07:44 UTC | View → |
What do these odds mean?
Cross-platform data for yes Detroit,yes Houston,yes Denver,yes Phoenix 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.