yes LeBron James: 3+,yes Dillon Brooks: 20+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 22:53 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 12:29 UTC | View → |
| Kalshi | — | — | — | 12:51 UTC | View → |
| Kalshi | — | — | — | 22:08 UTC | View → |
| Kalshi | — | — | — | 00:35 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 16:11 UTC | View → |
| Kalshi | — | — | — | 10:04 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 18:47 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 10:37 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 18:32 UTC | View → |
| Kalshi | — | — | — | 12:06 UTC | View → |
| Kalshi | — | — | — | 12:09 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 19:46 UTC | View → |
| Kalshi | — | — | — | 20:58 UTC | View → |
| Kalshi | — | — | — | 23:48 UTC | View → |
| Kalshi | — | — | — | 20:52 UTC | View → |
| Kalshi | — | — | — | 16:12 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 11:50 UTC | View → |
| Kalshi | — | — | — | 01:12 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 13:53 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 18:08 UTC | View → |
| Kalshi | — | — | — | 11:15 UTC | View → |
| Kalshi | — | — | — | 22:29 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 17:57 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 23:12 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 12:54 UTC | View → |
| Kalshi | — | — | — | 19:18 UTC | View → |
| Kalshi | — | — | — | 18:51 UTC | View → |
| Kalshi | — | — | — | 18:54 UTC | View → |
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 00:35 UTC | View → |
| Kalshi | — | — | — | 15:06 UTC | View → |
| Kalshi | — | — | — | 20:16 UTC | View → |
| Kalshi | — | — | — | 00:13 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 16:57 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 09:27 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
| Kalshi | — | — | — | 17:43 UTC | View → |
| Kalshi | — | — | — | 15:18 UTC | View → |
| Kalshi | — | — | — | 20:14 UTC | View → |
| Kalshi | — | — | — | 18:07 UTC | View → |
| Kalshi | — | — | — | 01:03 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 11:57 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
| Kalshi | — | — | — | 13:48 UTC | View → |
| Kalshi | — | — | — | 20:13 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
| Kalshi | — | — | — | 21:39 UTC | View → |
| Kalshi | — | — | — | 11:03 UTC | View → |
| Kalshi | — | — | — | 20:08 UTC | View → |
| Kalshi | — | — | — | 00:45 UTC | View → |
| Kalshi | — | — | — | 13:54 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 16:50 UTC | View → |
| Kalshi | — | — | — | 13:55 UTC | View → |
| Kalshi | — | — | — | 00:20 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
What do these odds mean?
Cross-platform data for yes LeBron James: 3+,yes Dillon Brooks: 20+ 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.