yes De'Aaron Fox: 4+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes New York,yes De'Aaron Fox: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:45 UTC | View → |
| Kalshi | — | — | — | 06:57 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 05:48 UTC | View → |
| Kalshi | — | — | — | 00:45 UTC | View → |
| Kalshi | — | — | — | 05:46 UTC | View → |
| Kalshi | — | — | — | 00:44 UTC | View → |
| Kalshi | — | — | — | 21:48 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 22:27 UTC | View → |
| Kalshi | — | — | — | 21:49 UTC | View → |
| Kalshi | — | — | — | 05:45 UTC | View → |
| Kalshi | — | — | — | 06:04 UTC | View → |
| Kalshi | — | — | — | 12:07 UTC | View → |
| Kalshi | — | — | — | 15:25 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 06:26 UTC | View → |
| Kalshi | — | — | — | 06:26 UTC | View → |
| Kalshi | — | — | — | 15:49 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 19:59 UTC | View → |
| Kalshi | — | — | — | 14:20 UTC | View → |
| Kalshi | — | — | — | 18:01 UTC | View → |
| Kalshi | — | — | — | 05:42 UTC | View → |
| Kalshi | — | — | — | 05:43 UTC | View → |
| Kalshi | — | — | — | 21:46 UTC | View → |
| Kalshi | — | — | — | 05:47 UTC | View → |
| Kalshi | — | — | — | 21:10 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 06:24 UTC | View → |
| Kalshi | — | — | — | 07:30 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 17:26 UTC | View → |
| Kalshi | — | — | — | 15:38 UTC | View → |
| Kalshi | — | — | — | 07:30 UTC | View → |
| Kalshi | — | — | — | 07:35 UTC | View → |
| Kalshi | — | — | — | 16:26 UTC | View → |
| Kalshi | — | — | — | 07:30 UTC | View → |
| Kalshi | — | — | — | 21:52 UTC | View → |
| Kalshi | — | — | — | 21:45 UTC | View → |
| Kalshi | — | — | — | 18:04 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 21:09 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
| Kalshi | — | — | — | 16:26 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 07:31 UTC | View → |
| Kalshi | — | — | — | 14:52 UTC | View → |
| Kalshi | — | — | — | 20:07 UTC | View → |
| Kalshi | — | — | — | 23:43 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 06:27 UTC | View → |
| Kalshi | — | — | — | 05:18 UTC | View → |
| Kalshi | — | — | — | 19:02 UTC | View → |
| Kalshi | — | — | — | 19:59 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 21:20 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 21:45 UTC | View → |
| Kalshi | — | — | — | 20:21 UTC | View → |
| Kalshi | — | — | — | 07:31 UTC | View → |
| Kalshi | — | — | — | 07:31 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 14:17 UTC | View → |
| Kalshi | — | — | — | 16:41 UTC | View → |
What do these odds mean?
Cross-platform data for yes De'Aaron Fox: 4+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes New York,yes De'Aaron Fox: 10+ 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.