yes Brooklyn,yes Sacramento,yes Indiana
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:41 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 04:39 UTC | View → |
| Kalshi | — | — | — | 20:57 UTC | View → |
| Kalshi | — | — | — | 09:18 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 22:23 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 23:05 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 23:39 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 20:57 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 23:07 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 11:12 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 14:38 UTC | View → |
| Kalshi | — | — | — | 00:18 UTC | View → |
| Kalshi | — | — | — | 11:14 UTC | View → |
| Kalshi | — | — | — | 07:10 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 11:17 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 09:49 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 11:11 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 22:14 UTC | View → |
| Kalshi | — | — | — | 12:50 UTC | View → |
| Kalshi | — | — | — | 07:55 UTC | View → |
| Kalshi | — | — | — | 00:03 UTC | View → |
| Kalshi | — | — | — | 18:55 UTC | View → |
| Kalshi | — | — | — | 21:08 UTC | View → |
| Kalshi | — | — | — | 07:55 UTC | View → |
What do these odds mean?
Cross-platform data for yes Brooklyn,yes Sacramento,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
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