yes LaMelo Ball: 4+,yes Jalen Brunson: 4+,yes Milwaukee,yes Miami,yes Houston,yes Boston,yes Philadelphia,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Kevin Durant: 20+,yes Jalen Brunson: 15+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 16:45 UTC | View → |
| Kalshi | — | — | — | 22:10 UTC | View → |
| Kalshi | — | — | — | 14:24 UTC | View → |
| Kalshi | — | — | — | 17:46 UTC | View → |
| Kalshi | — | — | — | 17:12 UTC | View → |
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 22:46 UTC | View → |
| Kalshi | — | — | — | 14:34 UTC | View → |
| Kalshi | — | — | — | 22:27 UTC | View → |
| Kalshi | — | — | — | 16:37 UTC | View → |
| Kalshi | — | — | — | 16:32 UTC | View → |
| Kalshi | — | — | — | 16:34 UTC | View → |
| Kalshi | — | — | — | 17:22 UTC | View → |
| Kalshi | — | — | — | 17:27 UTC | View → |
| Kalshi | — | — | — | 17:46 UTC | View → |
| Kalshi | — | — | — | 21:11 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 16:46 UTC | View → |
| Kalshi | — | — | — | 15:02 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 20:32 UTC | View → |
| Kalshi | — | — | — | 23:31 UTC | View → |
| Kalshi | — | — | — | 18:26 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 17:05 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 15:09 UTC | View → |
| Kalshi | — | — | — | 18:45 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 21:17 UTC | View → |
| Kalshi | — | — | — | 23:55 UTC | View → |
| Kalshi | — | — | — | 17:06 UTC | View → |
| Kalshi | — | — | — | 14:19 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 15:09 UTC | View → |
| Kalshi | — | — | — | 21:10 UTC | View → |
| Kalshi | — | — | — | 20:14 UTC | View → |
| Kalshi | — | — | — | 18:33 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 17:51 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 17:53 UTC | View → |
| Kalshi | — | — | — | 16:54 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 17:06 UTC | View → |
| Kalshi | — | — | — | 20:29 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 22:05 UTC | View → |
| Kalshi | — | — | — | 19:46 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 17:06 UTC | View → |
| Kalshi | — | — | — | 11:47 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 20:26 UTC | View → |
| Kalshi | — | — | — | 15:48 UTC | View → |
| Kalshi | — | — | — | 18:17 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
What do these odds mean?
Cross-platform data for yes LaMelo Ball: 4+,yes Jalen Brunson: 4+,yes Milwaukee,yes Miami,yes Houston,yes Boston,yes Philadelphia,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Kevin Durant: 20+,yes Jalen Brunson: 15+ 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.