yes Utah,yes Houston,yes Oklahoma City
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:47 UTC | View → |
| Kalshi | — | — | — | 13:10 UTC | View → |
| Kalshi | — | — | — | 05:56 UTC | View → |
| Kalshi | — | — | — | 13:10 UTC | View → |
| Kalshi | — | — | — | 10:54 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 04:32 UTC | View → |
| Kalshi | — | — | — | 16:56 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 23:44 UTC | View → |
| Kalshi | — | — | — | 04:26 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 15:01 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 00:26 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 01:12 UTC | View → |
| Kalshi | — | — | — | 13:13 UTC | View → |
| Kalshi | — | — | — | 15:29 UTC | View → |
| Kalshi | — | — | — | 09:39 UTC | View → |
| Kalshi | — | — | — | 12:44 UTC | View → |
| Kalshi | — | — | — | 00:10 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 23:55 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 00:38 UTC | View → |
| Kalshi | — | — | — | 22:11 UTC | View → |
| Kalshi | — | — | — | 08:34 UTC | View → |
| Kalshi | — | — | — | 00:30 UTC | View → |
| Kalshi | — | — | — | 11:56 UTC | View → |
| Kalshi | — | — | — | 00:23 UTC | View → |
| Kalshi | — | — | — | 00:18 UTC | View → |
| Kalshi | — | — | — | 04:26 UTC | View → |
| Kalshi | — | — | — | 15:29 UTC | View → |
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
| Kalshi | — | — | — | 17:31 UTC | View → |
| Kalshi | — | — | — | 00:09 UTC | View → |
| Kalshi | — | — | — | 18:44 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 07:27 UTC | View → |
| Kalshi | — | — | — | 00:20 UTC | View → |
| Kalshi | — | — | — | 14:56 UTC | View → |
What do these odds mean?
Cross-platform data for yes Utah,yes Houston,yes Oklahoma City 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
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