yes Kon Knueppel: 2+,yes Jalen Johnson: 4+,yes James Harden: 6+,yes De'Aaron Fox: 2+,yes LaMelo Ball: 4+,yes Cade Cunningham: 6+,yes Jrue Holiday: 2+,yes Evan Mobley: 4+,yes Moussa Diabaté: 6+,yes Cade Cunningham: 2+,yes Tobias Harris: 2+,yes Brook Lopez: 2+,yes John Collins: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 19:46 UTC | View → |
| Kalshi | — | — | — | 08:08 UTC | View → |
| Kalshi | — | — | — | 17:56 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 14:27 UTC | View → |
| Kalshi | — | — | — | 07:00 UTC | View → |
| Kalshi | — | — | — | 22:44 UTC | View → |
| Kalshi | — | — | — | 17:14 UTC | View → |
| Kalshi | — | — | — | 09:51 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 22:47 UTC | View → |
| Kalshi | — | — | — | 17:58 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 23:00 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 09:00 UTC | View → |
| Kalshi | — | — | — | 16:11 UTC | View → |
| Kalshi | — | — | — | 08:55 UTC | View → |
| Kalshi | — | — | — | 09:01 UTC | View → |
| Kalshi | — | — | — | 09:01 UTC | View → |
| Kalshi | — | — | — | 08:59 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 09:01 UTC | View → |
| Kalshi | — | — | — | 07:44 UTC | View → |
| Kalshi | — | — | — | 17:56 UTC | View → |
| Kalshi | — | — | — | 11:15 UTC | View → |
| Kalshi | — | — | — | 17:58 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 13:22 UTC | View → |
| Kalshi | — | — | — | 15:38 UTC | View → |
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 19:19 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 10:42 UTC | View → |
| Kalshi | — | — | — | 07:04 UTC | View → |
| Kalshi | — | — | — | 22:30 UTC | View → |
| Kalshi | — | — | — | 11:58 UTC | View → |
| Kalshi | — | — | — | 14:25 UTC | View → |
| Kalshi | — | — | — | 13:40 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 07:04 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 17:21 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
| Kalshi | — | — | — | 17:21 UTC | View → |
| Kalshi | — | — | — | 05:26 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 06:20 UTC | View → |
| Kalshi | — | — | — | 05:25 UTC | View → |
| Kalshi | — | — | — | 10:21 UTC | View → |
| Kalshi | — | — | — | 21:43 UTC | View → |
| Kalshi | — | — | — | 21:22 UTC | View → |
| Kalshi | — | — | — | 10:42 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kon Knueppel: 2+,yes Jalen Johnson: 4+,yes James Harden: 6+,yes De'Aaron Fox: 2+,yes LaMelo Ball: 4+,yes Cade Cunningham: 6+,yes Jrue Holiday: 2+,yes Evan Mobley: 4+,yes Moussa Diabaté: 6+,yes Cade Cunningham: 2+,yes Tobias Harris: 2+,yes Brook Lopez: 2+,yes John Collins: 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.