yes Tyrese Maxey: 1+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes New York,yes De'Aaron Fox: 10+,yes Kon Knueppel: 15+,yes Scottie Barnes: 10+,yes Kon Knueppel: 2+,no Over 247.5 points scored,no Over 249.5 points scored,no Over 241.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 15:44 UTC | View → |
| Kalshi | — | — | — | 07:20 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 18:22 UTC | View → |
| Kalshi | — | — | — | 15:18 UTC | View → |
| Kalshi | — | — | — | 22:34 UTC | View → |
| Kalshi | — | — | — | 15:40 UTC | View → |
| Kalshi | — | — | — | 22:41 UTC | View → |
| Kalshi | — | — | — | 00:25 UTC | View → |
| Kalshi | — | — | — | 16:00 UTC | View → |
| Kalshi | — | — | — | 09:11 UTC | View → |
| Kalshi | — | — | — | 22:42 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 15:17 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 21:43 UTC | View → |
| Kalshi | — | — | — | 12:42 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 17:49 UTC | View → |
| Kalshi | — | — | — | 20:05 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 08:40 UTC | View → |
| Kalshi | — | — | — | 19:01 UTC | View → |
| Kalshi | — | — | — | 17:53 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 07:49 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 22:35 UTC | View → |
| Kalshi | — | — | — | 11:51 UTC | View → |
| Kalshi | — | — | — | 19:08 UTC | View → |
| Kalshi | — | — | — | 18:34 UTC | View → |
| Kalshi | — | — | — | 17:27 UTC | View → |
| Kalshi | — | — | — | 15:55 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 22:52 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 08:36 UTC | View → |
| Kalshi | — | — | — | 22:19 UTC | View → |
| Kalshi | — | — | — | 16:55 UTC | View → |
| Kalshi | — | — | — | 11:36 UTC | View → |
| Kalshi | — | — | — | 19:10 UTC | View → |
| Kalshi | — | — | — | 19:11 UTC | View → |
| Kalshi | — | — | — | 16:37 UTC | View → |
| Kalshi | — | — | — | 22:19 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 19:15 UTC | View → |
| Kalshi | — | — | — | 19:08 UTC | View → |
| Kalshi | — | — | — | 19:18 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 10:37 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 17:47 UTC | View → |
| Kalshi | — | — | — | 12:42 UTC | View → |
| Kalshi | — | — | — | 08:36 UTC | View → |
| Kalshi | — | — | — | 17:50 UTC | View → |
| Kalshi | — | — | — | 18:20 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 16:37 UTC | View → |
| Kalshi | — | — | — | 18:17 UTC | View → |
| Kalshi | — | — | — | 18:28 UTC | View → |
| Kalshi | — | — | — | 12:42 UTC | View → |
What do these odds mean?
Cross-platform data for yes Tyrese Maxey: 1+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes New York,yes De'Aaron Fox: 10+,yes Kon Knueppel: 15+,yes Scottie Barnes: 10+,yes Kon Knueppel: 2+,no Over 247.5 points scored,no Over 249.5 points scored,no Over 241.5 points scored 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.