yes Derrick White: 2+,yes Milwaukee,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes De'Aaron Fox: 10+,yes Brandon Miller: 10+,yes Jabari Smith Jr.: 10+,yes VJ Edgecombe: 10+,yes Scottie Barnes: 10+,yes Kon Knueppel: 2+,yes Paolo Banchero: 4+,yes VJ Edgecombe: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 23:23 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 09:25 UTC | View → |
| Kalshi | — | — | — | 22:46 UTC | View → |
| Kalshi | — | — | — | 19:33 UTC | View → |
| Kalshi | — | — | — | 22:43 UTC | View → |
| Kalshi | — | — | — | 12:38 UTC | View → |
| Kalshi | — | — | — | 19:23 UTC | View → |
| Kalshi | — | — | — | 23:53 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 17:00 UTC | View → |
| Kalshi | — | — | — | 12:46 UTC | View → |
| Kalshi | — | — | — | 19:23 UTC | View → |
| Kalshi | — | — | — | 07:59 UTC | View → |
| Kalshi | — | — | — | 07:16 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 15:41 UTC | View → |
| Kalshi | — | — | — | 18:13 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 14:49 UTC | View → |
| Kalshi | — | — | — | 14:24 UTC | View → |
| Kalshi | — | — | — | 07:16 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 17:00 UTC | View → |
| Kalshi | — | — | — | 13:05 UTC | View → |
What do these odds mean?
Cross-platform data for yes Derrick White: 2+,yes Milwaukee,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes De'Aaron Fox: 10+,yes Brandon Miller: 10+,yes Jabari Smith Jr.: 10+,yes VJ Edgecombe: 10+,yes Scottie Barnes: 10+,yes Kon Knueppel: 2+,yes Paolo Banchero: 4+,yes VJ Edgecombe: 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.