yes Kon Knueppel: 2+,yes Miami,yes James Harden: 15+,yes LaMelo Ball: 15+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 17:24 UTC | View → |
| Kalshi | — | — | — | 16:25 UTC | View → |
| Kalshi | — | — | — | 12:37 UTC | View → |
| Kalshi | — | — | — | 10:58 UTC | View → |
| Kalshi | — | — | — | 15:21 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 21:00 UTC | View → |
| Kalshi | — | — | — | 14:25 UTC | View → |
| Kalshi | — | — | — | 11:04 UTC | View → |
| Kalshi | — | — | — | 11:05 UTC | View → |
| Kalshi | — | — | — | 10:08 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 11:05 UTC | View → |
| Kalshi | — | — | — | 16:13 UTC | View → |
| Kalshi | — | — | — | 11:05 UTC | View → |
| Kalshi | — | — | — | 20:17 UTC | View → |
| Kalshi | — | — | — | 10:58 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 10:58 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 11:04 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 13:22 UTC | View → |
| Kalshi | — | — | — | 08:24 UTC | View → |
| Kalshi | — | — | — | 06:57 UTC | View → |
| Kalshi | — | — | — | 18:40 UTC | View → |
| Kalshi | — | — | — | 14:02 UTC | View → |
| Kalshi | — | — | — | 17:24 UTC | View → |
| Kalshi | — | — | — | 13:41 UTC | View → |
| Kalshi | — | — | — | 14:33 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 20:29 UTC | View → |
| Kalshi | — | — | — | 14:55 UTC | View → |
| Kalshi | — | — | — | 12:36 UTC | View → |
| Kalshi | — | — | — | 09:40 UTC | View → |
| Kalshi | — | — | — | 20:30 UTC | View → |
| Kalshi | — | — | — | 14:44 UTC | View → |
| Kalshi | — | — | — | 14:44 UTC | View → |
| Kalshi | — | — | — | 22:11 UTC | View → |
| Kalshi | — | — | — | 18:34 UTC | View → |
| Kalshi | — | — | — | 18:34 UTC | View → |
| Kalshi | — | — | — | 12:43 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 07:28 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 15:39 UTC | View → |
| Kalshi | — | — | — | 15:39 UTC | View → |
| Kalshi | — | — | — | 22:31 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 12:44 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 20:52 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 13:42 UTC | View → |
| Kalshi | — | — | — | 16:46 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 22:31 UTC | View → |
| Kalshi | — | — | — | 16:21 UTC | View → |
| Kalshi | — | — | — | 21:08 UTC | View → |
| Kalshi | — | — | — | 08:24 UTC | View → |
| Kalshi | — | — | — | 14:55 UTC | View → |
| Kalshi | — | — | — | 15:40 UTC | View → |
| Kalshi | — | — | — | 12:43 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 13:29 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 07:26 UTC | View → |
| Kalshi | — | — | — | 14:36 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 08:22 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 15:10 UTC | View → |
| Kalshi | — | — | — | 15:11 UTC | View → |
| Kalshi | — | — | — | 09:23 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kon Knueppel: 2+,yes Miami,yes James Harden: 15+,yes LaMelo Ball: 15+ 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.