yes Philadelphia,yes Cincinnati,yes Milwaukee,yes Alperen Sengun: 6+,yes Paolo Banchero: 4+,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Houston,yes New York,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Deni Avdija: 20+,yes Kevin Durant: 20+,yes Desmond Bane: 15+,yes Jalen Brunson: 15+,yes Kevin Durant: 4+,yes Jalen Brunson: 2+,no San Antonio wins by over 30.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 21:47 UTC | View → |
| Kalshi | — | — | — | 14:43 UTC | View → |
| Kalshi | — | — | — | 07:36 UTC | View → |
| Kalshi | — | — | — | 16:22 UTC | View → |
| Kalshi | — | — | — | 17:34 UTC | View → |
| Kalshi | — | — | — | 12:38 UTC | View → |
| Kalshi | — | — | — | 13:27 UTC | View → |
| Kalshi | — | — | — | 14:43 UTC | View → |
| Kalshi | — | — | — | 12:39 UTC | View → |
| Kalshi | — | — | — | 13:27 UTC | View → |
| Kalshi | — | — | — | 20:22 UTC | View → |
| Kalshi | — | — | — | 17:08 UTC | View → |
| Kalshi | — | — | — | 12:39 UTC | View → |
| Kalshi | — | — | — | 07:36 UTC | View → |
| Kalshi | — | — | — | 07:36 UTC | View → |
| Kalshi | — | — | — | 07:36 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 12:38 UTC | View → |
| Kalshi | — | — | — | 22:06 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 11:43 UTC | View → |
| Kalshi | — | — | — | 16:21 UTC | View → |
| Kalshi | — | — | — | 16:21 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 22:11 UTC | View → |
| Kalshi | — | — | — | 14:28 UTC | View → |
| Kalshi | — | — | — | 22:54 UTC | View → |
| Kalshi | — | — | — | 13:29 UTC | View → |
| Kalshi | — | — | — | 09:50 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 20:30 UTC | View → |
| Kalshi | — | — | — | 19:43 UTC | View → |
| Kalshi | — | — | — | 19:43 UTC | View → |
| Kalshi | — | — | — | 00:01 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 15:56 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 16:21 UTC | View → |
| Kalshi | — | — | — | 22:52 UTC | View → |
| Kalshi | — | — | — | 09:53 UTC | View → |
| Kalshi | — | — | — | 07:22 UTC | View → |
| Kalshi | — | — | — | 14:20 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 17:17 UTC | View → |
| Kalshi | — | — | — | 11:42 UTC | View → |
| Kalshi | — | — | — | 11:42 UTC | View → |
| Kalshi | — | — | — | 22:11 UTC | View → |
| Kalshi | — | — | — | 13:49 UTC | View → |
| Kalshi | — | — | — | 17:01 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 11:12 UTC | View → |
What do these odds mean?
Cross-platform data for yes Philadelphia,yes Cincinnati,yes Milwaukee,yes Alperen Sengun: 6+,yes Paolo Banchero: 4+,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Houston,yes New York,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Deni Avdija: 20+,yes Kevin Durant: 20+,yes Desmond Bane: 15+,yes Jalen Brunson: 15+,yes Kevin Durant: 4+,yes Jalen Brunson: 2+,no San Antonio wins by over 30.5 points 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.