no Cleveland wins by over 1.5 runs,no Texas wins by over 1.5 runs,yes Atlanta,yes New York
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 05:40 UTC | View → |
| Kalshi | — | — | — | 00:40 UTC | View → |
| Kalshi | — | — | — | 21:13 UTC | View → |
| Kalshi | — | — | — | 20:34 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 23:15 UTC | View → |
| Kalshi | — | — | — | 08:21 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 01:45 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 23:12 UTC | View → |
| Kalshi | — | — | — | 23:12 UTC | View → |
| Kalshi | — | — | — | 18:13 UTC | View → |
| Kalshi | — | — | — | 21:52 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 18:12 UTC | View → |
| Kalshi | — | — | — | 01:45 UTC | View → |
| Kalshi | — | — | — | 10:40 UTC | View → |
| Kalshi | — | — | — | 15:39 UTC | View → |
| Kalshi | — | — | — | 23:19 UTC | View → |
| Kalshi | — | — | — | 21:50 UTC | View → |
| Kalshi | — | — | — | 18:37 UTC | View → |
| Kalshi | — | — | — | 15:40 UTC | View → |
| Kalshi | — | — | — | 08:00 UTC | View → |
| Kalshi | — | — | — | 16:10 UTC | View → |
What do these odds mean?
Cross-platform data for no Cleveland wins by over 1.5 runs,no Texas wins by over 1.5 runs,yes Atlanta,yes New York 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
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