yes Yes,yes Yes,yes Yes,yes Boston wins by over 1.5 runs
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 07:54 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 22:25 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
| Kalshi | — | — | — | 11:55 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 11:37 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 23:10 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 17:38 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 20:16 UTC | View → |
| Kalshi | — | — | — | 18:28 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 17:38 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 21:27 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 22:04 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 11:37 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 07:46 UTC | View → |
| Kalshi | — | — | — | 23:47 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 20:19 UTC | View → |
| Kalshi | — | — | — | 07:28 UTC | View → |
| Kalshi | — | — | — | 07:46 UTC | View → |
| Kalshi | — | — | — | 11:56 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 22:42 UTC | View → |
| Kalshi | — | — | — | 14:08 UTC | View → |
| Kalshi | — | — | — | 16:36 UTC | View → |
| Kalshi | — | — | — | 14:30 UTC | View → |
| Kalshi | — | — | — | 23:17 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 16:27 UTC | View → |
| Kalshi | — | — | — | 22:17 UTC | View → |
| Kalshi | — | — | — | 18:01 UTC | View → |
| Kalshi | — | — | — | 21:23 UTC | View → |
| Kalshi | — | — | — | 07:47 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 07:46 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 13:59 UTC | View → |
| Kalshi | — | — | — | 07:47 UTC | View → |
| Kalshi | — | — | — | 06:54 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 07:46 UTC | View → |
| Kalshi | — | — | — | 20:18 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 23:39 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 07:47 UTC | View → |
| Kalshi | — | — | — | 06:54 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 18:52 UTC | View → |
| Kalshi | — | — | — | 22:09 UTC | View → |
| Kalshi | — | — | — | 16:27 UTC | View → |
| Kalshi | — | — | — | 06:54 UTC | View → |
| Kalshi | — | — | — | 01:41 UTC | View → |
| Kalshi | — | — | — | 00:57 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 20:18 UTC | View → |
| Kalshi | — | — | — | 19:13 UTC | View → |
| Kalshi | — | — | — | 09:48 UTC | View → |
| Kalshi | — | — | — | 08:46 UTC | View → |
What do these odds mean?
Cross-platform data for yes Yes,yes Yes,yes Yes,yes Boston wins by over 1.5 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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.