yes Seattle,yes Los Angeles D,yes Teoscar Hernández: 1+,yes Kawhi Leonard: 25+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 02:09 UTC | View → |
| Kalshi | — | — | — | 02:04 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 02:43 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 02:44 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 16:38 UTC | View → |
| Kalshi | — | — | — | 21:12 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 01:46 UTC | View → |
| Kalshi | — | — | — | 12:47 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 01:18 UTC | View → |
| Kalshi | — | — | — | 12:50 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 18:22 UTC | View → |
| Kalshi | — | — | — | 04:42 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 13:58 UTC | View → |
| Kalshi | — | — | — | 01:45 UTC | View → |
| Kalshi | — | — | — | 01:25 UTC | View → |
| Kalshi | — | — | — | 02:40 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 20:46 UTC | View → |
| Kalshi | — | — | — | 15:56 UTC | View → |
| Kalshi | — | — | — | 15:33 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 01:20 UTC | View → |
| Kalshi | — | — | — | 02:16 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 02:30 UTC | View → |
| Kalshi | — | — | — | 01:02 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 18:21 UTC | View → |
| Kalshi | — | — | — | 00:12 UTC | View → |
| Kalshi | — | — | — | 00:12 UTC | View → |
| Kalshi | — | — | — | 01:50 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 20:25 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 02:30 UTC | View → |
| Kalshi | — | — | — | 02:05 UTC | View → |
| Kalshi | — | — | — | 02:06 UTC | View → |
| Kalshi | — | — | — | 01:59 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 17:08 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 01:30 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 20:41 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 02:07 UTC | View → |
| Kalshi | — | — | — | 04:36 UTC | View → |
| Kalshi | — | — | — | 01:51 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 01:21 UTC | View → |
| Kalshi | — | — | — | 02:05 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 02:41 UTC | View → |
| Kalshi | — | — | — | 02:06 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 02:07 UTC | View → |
| Kalshi | — | — | — | 01:46 UTC | View → |
| Kalshi | — | — | — | 20:38 UTC | View → |
What do these odds mean?
Cross-platform data for yes Seattle,yes Los Angeles D,yes Teoscar Hernández: 1+,yes Kawhi Leonard: 25+ 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.