yes Los Angeles D,yes Miles Bridges: 1+,yes Kawhi Leonard: 1+,yes Milwaukee,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Los Angeles C,yes Miami,yes Houston,yes Boston,yes Denver,yes Orlando,yes Philadelphia,yes Los Angeles L,yes New York,yes LaMelo Ball: 15+,yes Kon Knueppel: 2+,yes Bennedict Mathurin: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 07:33 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 11:28 UTC | View → |
| Kalshi | — | — | — | 09:24 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 07:33 UTC | View → |
| Kalshi | — | — | — | 01:27 UTC | View → |
| Kalshi | — | — | — | 15:06 UTC | View → |
| Kalshi | — | — | — | 18:26 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 02:08 UTC | View → |
| Kalshi | — | — | — | 17:45 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
What do these odds mean?
Cross-platform data for yes Los Angeles D,yes Miles Bridges: 1+,yes Kawhi Leonard: 1+,yes Milwaukee,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Los Angeles C,yes Miami,yes Houston,yes Boston,yes Denver,yes Orlando,yes Philadelphia,yes Los Angeles L,yes New York,yes LaMelo Ball: 15+,yes Kon Knueppel: 2+,yes Bennedict Mathurin: 2+ 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
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