yes Oneil Cruz: 1+,yes Ketel Marte: 1+,yes Bryce Harper: 1+,yes Trea Turner: 1+,yes Aaron Judge: 1+,yes Cody Bellinger: 1+,yes Jonathan Aranda: 1+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:36 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 09:54 UTC | View → |
| Kalshi | — | — | — | 13:27 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 07:25 UTC | View → |
| Kalshi | — | — | — | 16:07 UTC | View → |
| Kalshi | — | — | — | 06:36 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 16:22 UTC | View → |
| Kalshi | — | — | — | 16:22 UTC | View → |
| Kalshi | — | — | — | 06:42 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 15:22 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 16:45 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 06:58 UTC | View → |
| Kalshi | — | — | — | 06:58 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 06:57 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 15:21 UTC | View → |
| Kalshi | — | — | — | 20:24 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 16:30 UTC | View → |
What do these odds mean?
Cross-platform data for yes Oneil Cruz: 1+,yes Ketel Marte: 1+,yes Bryce Harper: 1+,yes Trea Turner: 1+,yes Aaron Judge: 1+,yes Cody Bellinger: 1+,yes Jonathan Aranda: 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.