yes Cincinnati,no Philadelphia wins by over 3.5 runs
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 17:35 UTC | View → |
| Kalshi | — | — | — | 21:25 UTC | View → |
| Kalshi | — | — | — | 15:05 UTC | View → |
| Kalshi | — | — | — | 12:37 UTC | View → |
| Kalshi | — | — | — | 21:24 UTC | View → |
| Kalshi | — | — | — | 18:52 UTC | View → |
| Kalshi | — | — | — | 06:25 UTC | View → |
| Kalshi | — | — | — | 15:20 UTC | View → |
| Kalshi | — | — | — | 15:23 UTC | View → |
| Kalshi | — | — | — | 16:17 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 18:53 UTC | View → |
| Kalshi | — | — | — | 15:04 UTC | View → |
| Kalshi | — | — | — | 17:09 UTC | View → |
| Kalshi | — | — | — | 21:59 UTC | View → |
| Kalshi | — | — | — | 18:32 UTC | View → |
| Kalshi | — | — | — | 22:58 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 16:52 UTC | View → |
| Kalshi | — | — | — | 16:37 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 22:50 UTC | View → |
| Kalshi | — | — | — | 18:32 UTC | View → |
| Kalshi | — | — | — | 16:37 UTC | View → |
| Kalshi | — | — | — | 15:59 UTC | View → |
| Kalshi | — | — | — | 12:35 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 05:25 UTC | View → |
| Kalshi | — | — | — | 15:05 UTC | View → |
| Kalshi | — | — | — | 21:21 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 17:04 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 04:36 UTC | View → |
What do these odds mean?
Cross-platform data for yes Cincinnati,no Philadelphia wins by over 3.5 runs 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.
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