yes Devin Vassell: 10+,yes Tobias Harris: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 14:27 UTC | View → |
| Kalshi | — | — | — | 14:27 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 16:14 UTC | View → |
| Kalshi | — | — | — | 06:44 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 12:55 UTC | View → |
| Kalshi | — | — | — | 12:55 UTC | View → |
| Kalshi | — | — | — | 21:34 UTC | View → |
| Kalshi | — | — | — | 17:52 UTC | View → |
| Kalshi | — | — | — | 12:44 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 15:12 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 05:08 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 19:08 UTC | View → |
| Kalshi | — | — | — | 15:12 UTC | View → |
| Kalshi | — | — | — | 21:58 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 17:50 UTC | View → |
| Kalshi | — | — | — | 14:24 UTC | View → |
| Kalshi | — | — | — | 14:23 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 15:54 UTC | View → |
| Kalshi | — | — | — | 10:06 UTC | View → |
| Kalshi | — | — | — | 16:33 UTC | View → |
| Kalshi | — | — | — | 17:43 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 18:33 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 23:32 UTC | View → |
| Kalshi | — | — | — | 20:20 UTC | View → |
| Kalshi | — | — | — | 00:48 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 10:57 UTC | View → |
| Kalshi | — | — | — | 12:21 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 12:21 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 13:29 UTC | View → |
| Kalshi | — | — | — | 13:29 UTC | View → |
| Kalshi | — | — | — | 09:23 UTC | View → |
| Kalshi | — | — | — | 13:23 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 13:54 UTC | View → |
| Kalshi | — | — | — | 07:58 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 23:17 UTC | View → |
| Kalshi | — | — | — | 12:19 UTC | View → |
| Kalshi | — | — | — | 23:53 UTC | View → |
| Kalshi | — | — | — | 05:06 UTC | View → |
| Kalshi | — | — | — | 21:57 UTC | View → |
| Kalshi | — | — | — | 22:05 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 05:35 UTC | View → |
| Kalshi | — | — | — | 21:58 UTC | View → |
What do these odds mean?
Cross-platform data for yes Devin Vassell: 10+,yes Tobias Harris: 10+ 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.