yes De'Aaron Fox: 2+,yes Amen Thompson: 2+,yes Kevin Durant: 2+,yes Paul George: 2+,yes Jalen Brunson: 4+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes De'Aaron Fox: 10+,yes Devin Vassell: 10+,yes Jrue Holiday: 15+,yes Christian Braun: 10+,yes Cameron Johnson: 10+,yes Cameron Johnson: 2+,yes Jarace Walker: 2+,yes Paul George: 2+,yes Deandre Ayton: 4+,yes Mark Williams: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 09:53 UTC | View → |
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 22:02 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 22:14 UTC | View → |
| Kalshi | — | — | — | 17:50 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 16:13 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 17:24 UTC | View → |
| Kalshi | — | — | — | 21:12 UTC | View → |
| Kalshi | — | — | — | 20:02 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 18:11 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 22:25 UTC | View → |
What do these odds mean?
Cross-platform data for yes De'Aaron Fox: 2+,yes Amen Thompson: 2+,yes Kevin Durant: 2+,yes Paul George: 2+,yes Jalen Brunson: 4+,yes Atlanta,yes San Antonio,yes Golden State,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes De'Aaron Fox: 10+,yes Devin Vassell: 10+,yes Jrue Holiday: 15+,yes Christian Braun: 10+,yes Cameron Johnson: 10+,yes Cameron Johnson: 2+,yes Jarace Walker: 2+,yes Paul George: 2+,yes Deandre Ayton: 4+,yes Mark Williams: 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.