yes Miles Bridges: 1+,yes LaMelo Ball: 4+,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Cade Cunningham: 15+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 06:12 UTC | View → |
| Kalshi | — | — | — | 12:54 UTC | View → |
| Kalshi | — | — | — | 04:31 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 13:16 UTC | View → |
| Kalshi | — | — | — | 12:57 UTC | View → |
| Kalshi | — | — | — | 20:07 UTC | View → |
| Kalshi | — | — | — | 10:50 UTC | View → |
| Kalshi | — | — | — | 12:09 UTC | View → |
| Kalshi | — | — | — | 12:09 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 23:56 UTC | View → |
| Kalshi | — | — | — | 23:27 UTC | View → |
| Kalshi | — | — | — | 11:44 UTC | View → |
| Kalshi | — | — | — | 15:17 UTC | View → |
| Kalshi | — | — | — | 00:20 UTC | View → |
| Kalshi | — | — | — | 00:16 UTC | View → |
| Kalshi | — | — | — | 11:46 UTC | View → |
| Kalshi | — | — | — | 11:43 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 13:17 UTC | View → |
| Kalshi | — | — | — | 10:50 UTC | View → |
| Kalshi | — | — | — | 11:43 UTC | View → |
| Kalshi | — | — | — | 06:27 UTC | View → |
| Kalshi | — | — | — | 04:29 UTC | View → |
| Kalshi | — | — | — | 07:42 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
| Kalshi | — | — | — | 11:35 UTC | View → |
| Kalshi | — | — | — | 06:21 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 21:33 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 22:23 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 04:34 UTC | View → |
| Kalshi | — | — | — | 11:01 UTC | View → |
| Kalshi | — | — | — | 21:32 UTC | View → |
| Kalshi | — | — | — | 11:34 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 20:15 UTC | View → |
| Kalshi | — | — | — | 04:34 UTC | View → |
| Kalshi | — | — | — | 18:40 UTC | View → |
| Kalshi | — | — | — | 13:17 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 11:35 UTC | View → |
| Kalshi | — | — | — | 06:20 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 15:17 UTC | View → |
| Kalshi | — | — | — | 06:27 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 22:28 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 13:10 UTC | View → |
| Kalshi | — | — | — | 09:46 UTC | View → |
| Kalshi | — | — | — | 17:38 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 09:21 UTC | View → |
| Kalshi | — | — | — | 09:20 UTC | View → |
| Kalshi | — | — | — | 13:20 UTC | View → |
| Kalshi | — | — | — | 16:08 UTC | View → |
| Kalshi | — | — | — | 16:09 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 10:45 UTC | View → |
| Kalshi | — | — | — | 06:32 UTC | View → |
| Kalshi | — | — | — | 05:05 UTC | View → |
| Kalshi | — | — | — | 21:37 UTC | View → |
| Kalshi | — | — | — | 14:51 UTC | View → |
| Kalshi | — | — | — | 11:55 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 11:15 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 04:43 UTC | View → |
| Kalshi | — | — | — | 07:08 UTC | View → |
| Kalshi | — | — | — | 17:37 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 10:13 UTC | View → |
| Kalshi | — | — | — | 10:42 UTC | View → |
| Kalshi | — | — | — | 10:43 UTC | View → |
| Kalshi | — | — | — | 14:03 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 14:03 UTC | View → |
| Kalshi | — | — | — | 21:13 UTC | View → |
| Kalshi | — | — | — | 04:44 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 19:23 UTC | View → |
| Kalshi | — | — | — | 16:41 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 06:37 UTC | View → |
| Kalshi | — | — | — | 05:02 UTC | View → |
| Kalshi | — | — | — | 14:35 UTC | View → |
| Kalshi | — | — | — | 09:46 UTC | View → |
| Kalshi | — | — | — | 10:42 UTC | View → |
| Kalshi | — | — | — | 04:34 UTC | View → |
| Kalshi | — | — | — | 13:13 UTC | View → |
| Kalshi | — | — | — | 09:43 UTC | View → |
| Kalshi | — | — | — | 17:47 UTC | View → |
| Kalshi | — | — | — | 00:43 UTC | View → |
| Kalshi | — | — | — | 06:59 UTC | View → |
| Kalshi | — | — | — | 09:49 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 20:51 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 10:43 UTC | View → |
| Kalshi | — | — | — | 16:40 UTC | View → |
| Kalshi | — | — | — | 13:21 UTC | View → |
| Kalshi | — | — | — | 13:21 UTC | View → |
| Kalshi | — | — | — | 07:27 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 10:13 UTC | View → |
| Kalshi | — | — | — | 09:01 UTC | View → |
| Kalshi | — | — | — | 06:27 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 13:24 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miles Bridges: 1+,yes LaMelo Ball: 4+,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Cade Cunningham: 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.