yes Cincinnati,yes Toronto,yes A's,yes New York Y,yes Cleveland,yes Baltimore,yes Boston,yes Houston,yes Los Angeles D,yes Boston
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 05:20 UTC | View → |
| Kalshi | — | — | — | 12:04 UTC | View → |
| Kalshi | — | — | — | 08:37 UTC | View → |
| Kalshi | — | — | — | 05:37 UTC | View → |
| Kalshi | — | — | — | 08:10 UTC | View → |
| Kalshi | — | — | — | 10:05 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 11:29 UTC | View → |
| Kalshi | — | — | — | 06:46 UTC | View → |
| Kalshi | — | — | — | 11:29 UTC | View → |
| Kalshi | — | — | — | 08:36 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 08:37 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 10:05 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 08:36 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 09:15 UTC | View → |
| Kalshi | — | — | — | 08:05 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 10:25 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 08:13 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 08:05 UTC | View → |
| Kalshi | — | — | — | 05:53 UTC | View → |
| Kalshi | — | — | — | 06:48 UTC | View → |
| Kalshi | — | — | — | 09:50 UTC | View → |
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 08:05 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 05:52 UTC | View → |
| Kalshi | — | — | — | 11:37 UTC | View → |
| Kalshi | — | — | — | 10:25 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 11:27 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
| Kalshi | — | — | — | 10:05 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 12:51 UTC | View → |
| Kalshi | — | — | — | 06:48 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 06:40 UTC | View → |
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 05:53 UTC | View → |
What do these odds mean?
Cross-platform data for yes Cincinnati,yes Toronto,yes A's,yes New York Y,yes Cleveland,yes Baltimore,yes Boston,yes Houston,yes Los Angeles D,yes Boston 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.