yes Miami,yes Philadelphia,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Kevin Durant: 20+,yes VJ Edgecombe: 10+,yes Karl-Anthony Towns: 10+,yes OG Anunoby: 10+,yes Scottie Barnes: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:24 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 12:01 UTC | View → |
| Kalshi | — | — | — | 13:24 UTC | View → |
| Kalshi | — | — | — | 17:35 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 08:33 UTC | View → |
| Kalshi | — | — | — | 22:55 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 19:31 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 20:11 UTC | View → |
| Kalshi | — | — | — | 14:19 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 12:46 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 11:03 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 10:26 UTC | View → |
| Kalshi | — | — | — | 15:42 UTC | View → |
| Kalshi | — | — | — | 20:11 UTC | View → |
| Kalshi | — | — | — | 20:43 UTC | View → |
| Kalshi | — | — | — | 07:10 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 18:29 UTC | View → |
| Kalshi | — | — | — | 14:28 UTC | View → |
| Kalshi | — | — | — | 14:08 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 21:45 UTC | View → |
| Kalshi | — | — | — | 18:39 UTC | View → |
| Kalshi | — | — | — | 12:30 UTC | View → |
| Kalshi | — | — | — | 10:32 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
| Kalshi | — | — | — | 22:10 UTC | View → |
| Kalshi | — | — | — | 17:36 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 16:54 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 22:52 UTC | View → |
| Kalshi | — | — | — | 14:08 UTC | View → |
| Kalshi | — | — | — | 18:16 UTC | View → |
| Kalshi | — | — | — | 16:06 UTC | View → |
| Kalshi | — | — | — | 14:29 UTC | View → |
| Kalshi | — | — | — | 10:39 UTC | View → |
| Kalshi | — | — | — | 16:54 UTC | View → |
| Kalshi | — | — | — | 12:06 UTC | View → |
| Kalshi | — | — | — | 22:45 UTC | View → |
| Kalshi | — | — | — | 13:36 UTC | View → |
| Kalshi | — | — | — | 12:49 UTC | View → |
| Kalshi | — | — | — | 18:38 UTC | View → |
| Kalshi | — | — | — | 19:44 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 18:39 UTC | View → |
| Kalshi | — | — | — | 08:54 UTC | View → |
| Kalshi | — | — | — | 08:43 UTC | View → |
| Kalshi | — | — | — | 23:04 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miami,yes Philadelphia,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Kevin Durant: 20+,yes VJ Edgecombe: 10+,yes Karl-Anthony Towns: 10+,yes OG Anunoby: 10+,yes Scottie Barnes: 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.