yes Kawhi Leonard: 1+,yes LaMelo Ball: 4+,yes Atlanta,yes San Antonio,yes Detroit,yes Golden State,yes Portland,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:45 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 22:17 UTC | View → |
| Kalshi | — | — | — | 18:46 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 18:45 UTC | View → |
| Kalshi | — | — | — | 07:51 UTC | View → |
| Kalshi | — | — | — | 22:17 UTC | View → |
| Kalshi | — | — | — | 19:48 UTC | View → |
| Kalshi | — | — | — | 07:07 UTC | View → |
| Kalshi | — | — | — | 14:42 UTC | View → |
| Kalshi | — | — | — | 09:50 UTC | View → |
| Kalshi | — | — | — | 09:53 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 07:17 UTC | View → |
| Kalshi | — | — | — | 19:22 UTC | View → |
| Kalshi | — | — | — | 22:59 UTC | View → |
| Kalshi | — | — | — | 07:17 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 07:07 UTC | View → |
| Kalshi | — | — | — | 06:26 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
| Kalshi | — | — | — | 21:50 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kawhi Leonard: 1+,yes LaMelo Ball: 4+,yes Atlanta,yes San Antonio,yes Detroit,yes Golden State,yes Portland,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York 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.