yes Bryce Harper: 1+,yes Trea Turner: 1+,yes Freddie Freeman: 1+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 21:06 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 14:28 UTC | View → |
| Kalshi | — | — | — | 22:22 UTC | View → |
| Kalshi | — | — | — | 06:56 UTC | View → |
| Kalshi | — | — | — | 12:55 UTC | View → |
| Kalshi | — | — | — | 22:59 UTC | View → |
| Kalshi | — | — | — | 21:55 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 06:59 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 22:07 UTC | View → |
| Kalshi | — | — | — | 12:13 UTC | View → |
| Kalshi | — | — | — | 21:42 UTC | View → |
| Kalshi | — | — | — | 05:53 UTC | View → |
| Kalshi | — | — | — | 05:45 UTC | View → |
| Kalshi | — | — | — | 21:39 UTC | View → |
| Kalshi | — | — | — | 22:23 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 16:44 UTC | View → |
| Kalshi | — | — | — | 11:35 UTC | View → |
| Kalshi | — | — | — | 20:41 UTC | View → |
| Kalshi | — | — | — | 11:35 UTC | View → |
| Kalshi | — | — | — | 11:35 UTC | View → |
| Kalshi | — | — | — | 14:21 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 19:13 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 05:12 UTC | View → |
| Kalshi | — | — | — | 04:59 UTC | View → |
| Kalshi | — | — | — | 11:36 UTC | View → |
| Kalshi | — | — | — | 22:49 UTC | View → |
| Kalshi | — | — | — | 05:12 UTC | View → |
| Kalshi | — | — | — | 18:50 UTC | View → |
| Kalshi | — | — | — | 21:02 UTC | View → |
| Kalshi | — | — | — | 19:14 UTC | View → |
| Kalshi | — | — | — | 16:54 UTC | View → |
| Kalshi | — | — | — | 09:02 UTC | View → |
| Kalshi | — | — | — | 14:30 UTC | View → |
| Kalshi | — | — | — | 16:48 UTC | View → |
| Kalshi | — | — | — | 16:46 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 11:36 UTC | View → |
| Kalshi | — | — | — | 21:03 UTC | View → |
| Kalshi | — | — | — | 22:46 UTC | View → |
| Kalshi | — | — | — | 21:51 UTC | View → |
| Kalshi | — | — | — | 16:52 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 05:12 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 16:45 UTC | View → |
| Kalshi | — | — | — | 16:53 UTC | View → |
| Kalshi | — | — | — | 19:13 UTC | View → |
| Kalshi | — | — | — | 14:09 UTC | View → |
| Kalshi | — | — | — | 22:32 UTC | View → |
| Kalshi | — | — | — | 14:19 UTC | View → |
| Kalshi | — | — | — | 19:38 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 04:37 UTC | View → |
| Kalshi | — | — | — | 17:39 UTC | View → |
| Kalshi | — | — | — | 04:59 UTC | View → |
| Kalshi | — | — | — | 04:59 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 14:28 UTC | View → |
| Kalshi | — | — | — | 19:13 UTC | View → |
| Kalshi | — | — | — | 16:47 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 22:45 UTC | View → |
| Kalshi | — | — | — | 22:44 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 19:38 UTC | View → |
| Kalshi | — | — | — | 05:00 UTC | View → |
| Kalshi | — | — | — | 11:36 UTC | View → |
| Kalshi | — | — | — | 09:56 UTC | View → |
What do these odds mean?
Cross-platform data for yes Bryce Harper: 1+,yes Trea Turner: 1+,yes Freddie Freeman: 1+ 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.