yes LaMelo Ball: 4+,yes San Antonio,yes Detroit,yes Portland,yes Utah,yes Houston,yes New York,yes Jonathan Kuminga: 10+,yes LaMelo Ball: 20+,yes Jalen Johnson: 10+,yes Cade Cunningham: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:22 UTC | View → |
| Kalshi | — | — | — | 19:12 UTC | View → |
| Kalshi | — | — | — | 10:22 UTC | View → |
| Kalshi | — | — | — | 06:56 UTC | View → |
| Kalshi | — | — | — | 19:25 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 10:40 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 15:39 UTC | View → |
| Kalshi | — | — | — | 13:09 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 22:30 UTC | View → |
| Kalshi | — | — | — | 09:01 UTC | View → |
| Kalshi | — | — | — | 19:03 UTC | View → |
| Kalshi | — | — | — | 12:42 UTC | View → |
| Kalshi | — | — | — | 12:11 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 12:53 UTC | View → |
| Kalshi | — | — | — | 18:15 UTC | View → |
| Kalshi | — | — | — | 20:32 UTC | View → |
| Kalshi | — | — | — | 22:37 UTC | View → |
| Kalshi | — | — | — | 17:27 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 19:45 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 21:26 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 19:36 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 12:47 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 18:52 UTC | View → |
| Kalshi | — | — | — | 15:09 UTC | View → |
| Kalshi | — | — | — | 21:43 UTC | View → |
| Kalshi | — | — | — | 12:54 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 13:28 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 09:57 UTC | View → |
| Kalshi | — | — | — | 15:16 UTC | View → |
| Kalshi | — | — | — | 15:09 UTC | View → |
| Kalshi | — | — | — | 12:43 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 16:13 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 07:21 UTC | View → |
| Kalshi | — | — | — | 15:06 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 18:01 UTC | View → |
| Kalshi | — | — | — | 10:59 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 22:11 UTC | View → |
What do these odds mean?
Cross-platform data for yes LaMelo Ball: 4+,yes San Antonio,yes Detroit,yes Portland,yes Utah,yes Houston,yes New York,yes Jonathan Kuminga: 10+,yes LaMelo Ball: 20+,yes Jalen Johnson: 10+,yes Cade Cunningham: 4+ 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.