yes Jrue Holiday: 2+,yes Alperen Sengun: 2+,yes Kevin Durant: 2+,yes Scottie Barnes: 2+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,yes De'Aaron Fox: 10+,yes Devin Vassell: 10+,yes Franz Wagner: 10+,yes Brandon Miller: 2+,yes Kon Knueppel: 2+,yes Jrue Holiday: 2+,yes OG Anunoby: 2+,yes RJ Barrett: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:35 UTC | View → |
| Kalshi | — | — | — | 18:56 UTC | View → |
| Kalshi | — | — | — | 13:31 UTC | View → |
| Kalshi | — | — | — | 22:04 UTC | View → |
| Kalshi | — | — | — | 06:21 UTC | View → |
| Kalshi | — | — | — | 13:28 UTC | View → |
| Kalshi | — | — | — | 20:09 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 13:29 UTC | View → |
| Kalshi | — | — | — | 01:11 UTC | View → |
| Kalshi | — | — | — | 17:37 UTC | View → |
| Kalshi | — | — | — | 00:01 UTC | View → |
| Kalshi | — | — | — | 22:35 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 22:41 UTC | View → |
| Kalshi | — | — | — | 00:43 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 00:02 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 18:23 UTC | View → |
| Kalshi | — | — | — | 07:49 UTC | View → |
| Kalshi | — | — | — | 06:51 UTC | View → |
What do these odds mean?
Cross-platform data for yes Jrue Holiday: 2+,yes Alperen Sengun: 2+,yes Kevin Durant: 2+,yes Scottie Barnes: 2+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,yes De'Aaron Fox: 10+,yes Devin Vassell: 10+,yes Franz Wagner: 10+,yes Brandon Miller: 2+,yes Kon Knueppel: 2+,yes Jrue Holiday: 2+,yes OG Anunoby: 2+,yes RJ Barrett: 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.