yes Atlanta,yes Nickeil Alexander-Walker: 15+,yes Brandon Miller: 15+,yes Jalen Johnson: 6+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:03 UTC | View → |
| Kalshi | — | — | — | 22:05 UTC | View → |
| Kalshi | — | — | — | 07:34 UTC | View → |
| Kalshi | — | — | — | 22:15 UTC | View → |
| Kalshi | — | — | — | 05:07 UTC | View → |
| Kalshi | — | — | — | 12:49 UTC | View → |
| Kalshi | — | — | — | 17:43 UTC | View → |
| Kalshi | — | — | — | 20:50 UTC | View → |
| Kalshi | — | — | — | 09:39 UTC | View → |
| Kalshi | — | — | — | 09:30 UTC | View → |
| Kalshi | — | — | — | 20:50 UTC | View → |
| Kalshi | — | — | — | 07:45 UTC | View → |
| Kalshi | — | — | — | 09:35 UTC | View → |
| Kalshi | — | — | — | 18:44 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 13:02 UTC | View → |
| Kalshi | — | — | — | 13:02 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 21:59 UTC | View → |
| Kalshi | — | — | — | 17:43 UTC | View → |
| Kalshi | — | — | — | 09:40 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 09:32 UTC | View → |
| Kalshi | — | — | — | 09:32 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 07:14 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 09:39 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 18:21 UTC | View → |
| Kalshi | — | — | — | 22:52 UTC | View → |
| Kalshi | — | — | — | 14:17 UTC | View → |
| Kalshi | — | — | — | 07:12 UTC | View → |
| Kalshi | — | — | — | 21:48 UTC | View → |
| Kalshi | — | — | — | 21:48 UTC | View → |
| Kalshi | — | — | — | 22:04 UTC | View → |
| Kalshi | — | — | — | 18:19 UTC | View → |
| Kalshi | — | — | — | 13:43 UTC | View → |
| Kalshi | — | — | — | 07:25 UTC | View → |
| Kalshi | — | — | — | 21:47 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 21:32 UTC | View → |
| Kalshi | — | — | — | 17:47 UTC | View → |
| Kalshi | — | — | — | 12:43 UTC | View → |
| Kalshi | — | — | — | 21:50 UTC | View → |
| Kalshi | — | — | — | 10:43 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 19:19 UTC | View → |
| Kalshi | — | — | — | 12:44 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 07:35 UTC | View → |
| Kalshi | — | — | — | 17:23 UTC | View → |
| Kalshi | — | — | — | 15:37 UTC | View → |
| Kalshi | — | — | — | 16:36 UTC | View → |
| Kalshi | — | — | — | 15:29 UTC | View → |
| Kalshi | — | — | — | 16:18 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 22:00 UTC | View → |
| Kalshi | — | — | — | 22:33 UTC | View → |
| Kalshi | — | — | — | 15:46 UTC | View → |
| Kalshi | — | — | — | 20:36 UTC | View → |
| Kalshi | — | — | — | 15:44 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 15:30 UTC | View → |
| Kalshi | — | — | — | 22:22 UTC | View → |
| Kalshi | — | — | — | 17:54 UTC | View → |
| Kalshi | — | — | — | 16:17 UTC | View → |
| Kalshi | — | — | — | 08:08 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
| Kalshi | — | — | — | 22:38 UTC | View → |
| Kalshi | — | — | — | 07:37 UTC | View → |
| Kalshi | — | — | — | 21:03 UTC | View → |
| Kalshi | — | — | — | 09:02 UTC | View → |
| Kalshi | — | — | — | 05:14 UTC | View → |
| Kalshi | — | — | — | 22:03 UTC | View → |
| Kalshi | — | — | — | 11:26 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 16:20 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 16:18 UTC | View → |
| Kalshi | — | — | — | 16:33 UTC | View → |
| Kalshi | — | — | — | 07:22 UTC | View → |
| Kalshi | — | — | — | 15:38 UTC | View → |
| Kalshi | — | — | — | 22:15 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 14:25 UTC | View → |
| Kalshi | — | — | — | 10:47 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 14:25 UTC | View → |
| Kalshi | — | — | — | 19:55 UTC | View → |
| Kalshi | — | — | — | 16:32 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
| Kalshi | — | — | — | 05:27 UTC | View → |
| Kalshi | — | — | — | 15:42 UTC | View → |
| Kalshi | — | — | — | 21:40 UTC | View → |
| Kalshi | — | — | — | 20:14 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 20:31 UTC | View → |
| Kalshi | — | — | — | 15:29 UTC | View → |
| Kalshi | — | — | — | 07:58 UTC | View → |
| Kalshi | — | — | — | 17:21 UTC | View → |
| Kalshi | — | — | — | 20:22 UTC | View → |
| Kalshi | — | — | — | 16:51 UTC | View → |
| Kalshi | — | — | — | 23:00 UTC | View → |
| Kalshi | — | — | — | 22:44 UTC | View → |
| Kalshi | — | — | — | 19:20 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 10:30 UTC | View → |
| Kalshi | — | — | — | 13:38 UTC | View → |
| Kalshi | — | — | — | 06:51 UTC | View → |
What do these odds mean?
Cross-platform data for yes Atlanta,yes Nickeil Alexander-Walker: 15+,yes Brandon Miller: 15+,yes Jalen Johnson: 6+ 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.