yes Charlotte,yes Brandon Miller: 15+,yes Kon Knueppel: 15+,yes LaMelo Ball: 20+,yes Brandon Miller: 2+,yes Kon Knueppel: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 18:48 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 05:41 UTC | View → |
| Kalshi | — | — | — | 10:31 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 16:13 UTC | View → |
| Kalshi | — | — | — | 08:37 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 09:28 UTC | View → |
| Kalshi | — | — | — | 20:57 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 16:18 UTC | View → |
| Kalshi | — | — | — | 21:41 UTC | View → |
| Kalshi | — | — | — | 10:25 UTC | View → |
| Kalshi | — | — | — | 06:26 UTC | View → |
| Kalshi | — | — | — | 10:43 UTC | View → |
| Kalshi | — | — | — | 08:24 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 08:37 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 13:57 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 18:48 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 12:58 UTC | View → |
| Kalshi | — | — | — | 10:31 UTC | View → |
| Kalshi | — | — | — | 22:35 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 07:58 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 00:23 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 22:22 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 22:06 UTC | View → |
| Kalshi | — | — | — | 10:25 UTC | View → |
| Kalshi | — | — | — | 00:48 UTC | View → |
| Kalshi | — | — | — | 00:48 UTC | View → |
| Kalshi | — | — | — | 07:58 UTC | View → |
| Kalshi | — | — | — | 10:19 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 08:10 UTC | View → |
| Kalshi | — | — | — | 15:41 UTC | View → |
| Kalshi | — | — | — | 20:57 UTC | View → |
| Kalshi | — | — | — | 08:50 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 16:57 UTC | View → |
| Kalshi | — | — | — | 16:57 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 19:04 UTC | View → |
| Kalshi | — | — | — | 15:41 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 23:35 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 07:15 UTC | View → |
| Kalshi | — | — | — | 19:04 UTC | View → |
| Kalshi | — | — | — | 04:44 UTC | View → |
| Kalshi | — | — | — | 18:05 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 21:00 UTC | View → |
| Kalshi | — | — | — | 07:39 UTC | View → |
| Kalshi | — | — | — | 07:54 UTC | View → |
| Kalshi | — | — | — | 07:54 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 16:09 UTC | View → |
| Kalshi | — | — | — | 19:34 UTC | View → |
| Kalshi | — | — | — | 07:15 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 05:02 UTC | View → |
| Kalshi | — | — | — | 21:36 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 00:03 UTC | View → |
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 11:16 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 04:53 UTC | View → |
| Kalshi | — | — | — | 07:33 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 04:44 UTC | View → |
| Kalshi | — | — | — | 20:38 UTC | View → |
| Kalshi | — | — | — | 20:28 UTC | View → |
| Kalshi | — | — | — | 07:05 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 14:46 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 20:34 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 15:41 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 04:44 UTC | View → |
| Kalshi | — | — | — | 07:15 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 11:16 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 07:27 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 23:14 UTC | View → |
| Kalshi | — | — | — | 23:11 UTC | View → |
| Kalshi | — | — | — | 15:54 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 11:31 UTC | View → |
| Kalshi | — | — | — | 00:03 UTC | View → |
| Kalshi | — | — | — | 22:13 UTC | View → |
What do these odds mean?
Cross-platform data for yes Charlotte,yes Brandon Miller: 15+,yes Kon Knueppel: 15+,yes LaMelo Ball: 20+,yes Brandon Miller: 2+,yes Kon Knueppel: 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.