no Philadelphia wins by over 1.5 runs,yes Over 7.5 runs scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:39 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 21:27 UTC | View → |
| Kalshi | — | — | — | 21:24 UTC | View → |
| Kalshi | — | — | — | 21:09 UTC | View → |
| Kalshi | — | — | — | 12:37 UTC | View → |
| Kalshi | — | — | — | 18:37 UTC | View → |
| Kalshi | — | — | — | 15:20 UTC | View → |
| Kalshi | — | — | — | 18:01 UTC | View → |
| Kalshi | — | — | — | 22:39 UTC | View → |
| Kalshi | — | — | — | 12:37 UTC | View → |
| Kalshi | — | — | — | 21:08 UTC | View → |
| Kalshi | — | — | — | 21:14 UTC | View → |
| Kalshi | — | — | — | 21:58 UTC | View → |
| Kalshi | — | — | — | 23:31 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 23:19 UTC | View → |
| Kalshi | — | — | — | 14:36 UTC | View → |
| Kalshi | — | — | — | 20:17 UTC | View → |
| Kalshi | — | — | — | 19:59 UTC | View → |
| Kalshi | — | — | — | 07:00 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 21:03 UTC | View → |
| Kalshi | — | — | — | 22:37 UTC | View → |
| Kalshi | — | — | — | 04:37 UTC | View → |
| Kalshi | — | — | — | 15:20 UTC | View → |
| Kalshi | — | — | — | 00:06 UTC | View → |
| Kalshi | — | — | — | 00:06 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 20:20 UTC | View → |
| Kalshi | — | — | — | 15:20 UTC | View → |
| Kalshi | — | — | — | 16:12 UTC | View → |
| Kalshi | — | — | — | 10:15 UTC | View → |
| Kalshi | — | — | — | 18:33 UTC | View → |
| Kalshi | — | — | — | 10:16 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 04:37 UTC | View → |
| Kalshi | — | — | — | 20:39 UTC | View → |
| Kalshi | — | — | — | 21:25 UTC | View → |
| Kalshi | — | — | — | 00:27 UTC | View → |
| Kalshi | — | — | — | 05:41 UTC | View → |
| Kalshi | — | — | — | 22:31 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 11:13 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 09:25 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 12:19 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
| Kalshi | — | — | — | 01:12 UTC | View → |
| Kalshi | — | — | — | 15:14 UTC | View → |
| Kalshi | — | — | — | 13:47 UTC | View → |
| Kalshi | — | — | — | 15:55 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 19:17 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 08:33 UTC | View → |
| Kalshi | — | — | — | 22:14 UTC | View → |
| Kalshi | — | — | — | 09:25 UTC | View → |
| Kalshi | — | — | — | 22:10 UTC | View → |
| Kalshi | — | — | — | 21:04 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 08:11 UTC | View → |
| Kalshi | — | — | — | 22:32 UTC | View → |
| Kalshi | — | — | — | 22:43 UTC | View → |
| Kalshi | — | — | — | 21:21 UTC | View → |
| Kalshi | — | — | — | 19:18 UTC | View → |
| Kalshi | — | — | — | 22:34 UTC | View → |
| Kalshi | — | — | — | 09:25 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 22:34 UTC | View → |
| Kalshi | — | — | — | 14:26 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 22:18 UTC | View → |
| Kalshi | — | — | — | 22:44 UTC | View → |
What do these odds mean?
Cross-platform data for no Philadelphia wins by over 1.5 runs,yes Over 7.5 runs scored 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.