no Philadelphia wins by over 3.5 runs,no Los Angeles A wins by over 3.5 runs
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:12 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 23:06 UTC | View → |
| Kalshi | — | — | — | 21:24 UTC | View → |
| Kalshi | — | — | — | 22:32 UTC | View → |
| Kalshi | — | — | — | 00:14 UTC | View → |
| Kalshi | — | — | — | 00:28 UTC | View → |
| Kalshi | — | — | — | 00:25 UTC | View → |
| Kalshi | — | — | — | 00:13 UTC | View → |
| Kalshi | — | — | — | 06:37 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 13:36 UTC | View → |
| Kalshi | — | — | — | 20:45 UTC | View → |
| Kalshi | — | — | — | 22:33 UTC | View → |
| Kalshi | — | — | — | 18:10 UTC | View → |
| Kalshi | — | — | — | 07:50 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 23:35 UTC | View → |
| Kalshi | — | — | — | 21:37 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 21:51 UTC | View → |
| Kalshi | — | — | — | 07:50 UTC | View → |
| Kalshi | — | — | — | 21:24 UTC | View → |
| Kalshi | — | — | — | 18:07 UTC | View → |
| Kalshi | — | — | — | 21:47 UTC | View → |
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 07:50 UTC | View → |
| Kalshi | — | — | — | 21:47 UTC | View → |
| Kalshi | — | — | — | 22:27 UTC | View → |
| Kalshi | — | — | — | 21:24 UTC | View → |
| Kalshi | — | — | — | 21:50 UTC | View → |
| Kalshi | — | — | — | 18:25 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 18:46 UTC | View → |
| Kalshi | — | — | — | 21:18 UTC | View → |
| Kalshi | — | — | — | 21:33 UTC | View → |
| Kalshi | — | — | — | 20:24 UTC | View → |
| Kalshi | — | — | — | 21:49 UTC | View → |
What do these odds mean?
Cross-platform data for no Philadelphia wins by over 3.5 runs,no Los Angeles A 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.
News & context
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