yes Shohei Ohtani: 2+,yes Tyler Glasnow: 5+,yes Kumar Rocker: 4+,yes Yes
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 07:25 UTC | View → |
| Kalshi | — | — | — | 07:27 UTC | View → |
| Kalshi | — | — | — | 05:56 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 08:05 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 05:32 UTC | View → |
| Kalshi | — | — | — | 17:03 UTC | View → |
| Kalshi | — | — | — | 10:48 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 06:35 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 06:35 UTC | View → |
| Kalshi | — | — | — | 12:00 UTC | View → |
| Kalshi | — | — | — | 12:00 UTC | View → |
| Kalshi | — | — | — | 14:53 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 18:38 UTC | View → |
| Kalshi | — | — | — | 23:59 UTC | View → |
| Kalshi | — | — | — | 11:52 UTC | View → |
| Kalshi | — | — | — | 07:39 UTC | View → |
| Kalshi | — | — | — | 07:25 UTC | View → |
| Kalshi | — | — | — | 04:29 UTC | View → |
| Kalshi | — | — | — | 16:41 UTC | View → |
What do these odds mean?
Cross-platform data for yes Shohei Ohtani: 2+,yes Tyler Glasnow: 5+,yes Kumar Rocker: 4+,yes Yes 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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