yes Jabari Smith Jr.: 15+,yes VJ Edgecombe: 6+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 00:25 UTC | View → |
| Kalshi | — | — | — | 23:35 UTC | View → |
| Kalshi | — | — | — | 01:02 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 10:57 UTC | View → |
| Kalshi | — | — | — | 01:02 UTC | View → |
| Kalshi | — | — | — | 01:11 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 13:25 UTC | View → |
| Kalshi | — | — | — | 09:49 UTC | View → |
| Kalshi | — | — | — | 09:49 UTC | View → |
| Kalshi | — | — | — | 12:24 UTC | View → |
| Kalshi | — | — | — | 14:23 UTC | View → |
| Kalshi | — | — | — | 09:49 UTC | View → |
| Kalshi | — | — | — | 10:57 UTC | View → |
| Kalshi | — | — | — | 01:12 UTC | View → |
| Kalshi | — | — | — | 02:17 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 21:09 UTC | View → |
| Kalshi | — | — | — | 20:39 UTC | View → |
| Kalshi | — | — | — | 20:37 UTC | View → |
| Kalshi | — | — | — | 09:41 UTC | View → |
| Kalshi | — | — | — | 17:35 UTC | View → |
| Kalshi | — | — | — | 07:18 UTC | View → |
| Kalshi | — | — | — | 00:18 UTC | View → |
What do these odds mean?
Cross-platform data for yes Jabari Smith Jr.: 15+,yes VJ Edgecombe: 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
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