yes Duncan Robinson: 2+,yes LaMelo Ball: 4+,yes Brandon Miller: 10+,yes Ausar Thompson: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 13:05 UTC | View → |
| Kalshi | — | — | — | 13:12 UTC | View → |
| Kalshi | — | — | — | 15:15 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 17:39 UTC | View → |
| Kalshi | — | — | — | 16:28 UTC | View → |
| Kalshi | — | — | — | 09:08 UTC | View → |
| Kalshi | — | — | — | 17:49 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 10:59 UTC | View → |
| Kalshi | — | — | — | 13:04 UTC | View → |
| Kalshi | — | — | — | 08:55 UTC | View → |
| Kalshi | — | — | — | 10:02 UTC | View → |
| Kalshi | — | — | — | 15:36 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 19:44 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 04:34 UTC | View → |
| Kalshi | — | — | — | 13:51 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 13:51 UTC | View → |
| Kalshi | — | — | — | 07:16 UTC | View → |
| Kalshi | — | — | — | 08:40 UTC | View → |
| Kalshi | — | — | — | 12:07 UTC | View → |
| Kalshi | — | — | — | 22:02 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 17:40 UTC | View → |
| Kalshi | — | — | — | 04:36 UTC | View → |
| Kalshi | — | — | — | 09:15 UTC | View → |
| Kalshi | — | — | — | 19:15 UTC | View → |
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 11:41 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 11:48 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 13:15 UTC | View → |
| Kalshi | — | — | — | 17:16 UTC | View → |
| Kalshi | — | — | — | 19:03 UTC | View → |
| Kalshi | — | — | — | 21:39 UTC | View → |
| Kalshi | — | — | — | 07:52 UTC | View → |
| Kalshi | — | — | — | 13:51 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 13:15 UTC | View → |
| Kalshi | — | — | — | 12:04 UTC | View → |
| Kalshi | — | — | — | 07:17 UTC | View → |
| Kalshi | — | — | — | 13:00 UTC | View → |
| Kalshi | — | — | — | 12:03 UTC | View → |
| Kalshi | — | — | — | 16:56 UTC | View → |
| Kalshi | — | — | — | 13:12 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 06:31 UTC | View → |
| Kalshi | — | — | — | 12:59 UTC | View → |
| Kalshi | — | — | — | 09:05 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 17:49 UTC | View → |
| Kalshi | — | — | — | 22:35 UTC | View → |
| Kalshi | — | — | — | 10:20 UTC | View → |
| Kalshi | — | — | — | 10:59 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 12:58 UTC | View → |
| Kalshi | — | — | — | 13:55 UTC | View → |
| Kalshi | — | — | — | 22:59 UTC | View → |
| Kalshi | — | — | — | 17:54 UTC | View → |
| Kalshi | — | — | — | 04:45 UTC | View → |
| Kalshi | — | — | — | 07:12 UTC | View → |
| Kalshi | — | — | — | 12:40 UTC | View → |
| Kalshi | — | — | — | 07:08 UTC | View → |
| Kalshi | — | — | — | 23:53 UTC | View → |
| Kalshi | — | — | — | 07:22 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 00:31 UTC | View → |
| Kalshi | — | — | — | 16:08 UTC | View → |
| Kalshi | — | — | — | 11:31 UTC | View → |
| Kalshi | — | — | — | 04:58 UTC | View → |
| Kalshi | — | — | — | 00:26 UTC | View → |
| Kalshi | — | — | — | 07:31 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 15:15 UTC | View → |
| Kalshi | — | — | — | 08:01 UTC | View → |
| Kalshi | — | — | — | 06:32 UTC | View → |
| Kalshi | — | — | — | 00:27 UTC | View → |
| Kalshi | — | — | — | 23:55 UTC | View → |
| Kalshi | — | — | — | 12:58 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 14:03 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
| Kalshi | — | — | — | 05:46 UTC | View → |
| Kalshi | — | — | — | 04:41 UTC | View → |
| Kalshi | — | — | — | 17:19 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 15:56 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 13:54 UTC | View → |
| Kalshi | — | — | — | 04:46 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 07:20 UTC | View → |
| Kalshi | — | — | — | 13:55 UTC | View → |
| Kalshi | — | — | — | 05:02 UTC | View → |
| Kalshi | — | — | — | 06:53 UTC | View → |
| Kalshi | — | — | — | 16:45 UTC | View → |
| Kalshi | — | — | — | 04:54 UTC | View → |
| Kalshi | — | — | — | 19:59 UTC | View → |
| Kalshi | — | — | — | 11:47 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 22:51 UTC | View → |
| Kalshi | — | — | — | 07:55 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 21:57 UTC | View → |
| Kalshi | — | — | — | 07:40 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
What do these odds mean?
Cross-platform data for yes Duncan Robinson: 2+,yes LaMelo Ball: 4+,yes Brandon Miller: 10+,yes Ausar Thompson: 2+ 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.