yes Bub Carrington: 2+,yes VJ Edgecombe: 2+,yes Milwaukee,yes Golden State,yes Boston,yes New York,yes De'Aaron Fox: 15+,yes Brandon Miller: 10+,yes Kon Knueppel: 15+,yes Jabari Smith Jr.: 10+,yes Derrick White: 15+,yes Desmond Bane: 15+,yes Scottie Barnes: 15+,yes De'Aaron Fox: 2+,yes Andrew Wiggins: 2+,yes Kevin Durant: 2+,yes Neemias Queta: 6+,yes Paolo Banchero: 6+,yes VJ Edgecombe: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 15:33 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 19:38 UTC | View → |
| Kalshi | — | — | — | 16:01 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 15:10 UTC | View → |
| Kalshi | — | — | — | 20:05 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 16:32 UTC | View → |
| Kalshi | — | — | — | 17:47 UTC | View → |
| Kalshi | — | — | — | 16:13 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 20:04 UTC | View → |
| Kalshi | — | — | — | 15:57 UTC | View → |
What do these odds mean?
Cross-platform data for yes Bub Carrington: 2+,yes VJ Edgecombe: 2+,yes Milwaukee,yes Golden State,yes Boston,yes New York,yes De'Aaron Fox: 15+,yes Brandon Miller: 10+,yes Kon Knueppel: 15+,yes Jabari Smith Jr.: 10+,yes Derrick White: 15+,yes Desmond Bane: 15+,yes Scottie Barnes: 15+,yes De'Aaron Fox: 2+,yes Andrew Wiggins: 2+,yes Kevin Durant: 2+,yes Neemias Queta: 6+,yes Paolo Banchero: 6+,yes VJ Edgecombe: 4+ 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.