yes Cade Cunningham: 6+,yes Jrue Holiday: 4+,yes Charlotte,yes Golden State,yes Los Angeles C,yes Houston,yes Boston,yes Orlando,yes New York,yes Miles Bridges: 10+,yes Deni Avdija: 20+,yes Toumani Camara: 10+,yes Brandon Miller: 2+,no Atlanta wins by over 7.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 09:23 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 17:27 UTC | View → |
| Kalshi | — | — | — | 22:24 UTC | View → |
| Kalshi | — | — | — | 05:07 UTC | View → |
| Kalshi | — | — | — | 06:12 UTC | View → |
| Kalshi | — | — | — | 20:38 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 12:17 UTC | View → |
| Kalshi | — | — | — | 14:29 UTC | View → |
| Kalshi | — | — | — | 17:08 UTC | View → |
| Kalshi | — | — | — | 23:10 UTC | View → |
| Kalshi | — | — | — | 12:29 UTC | View → |
| Kalshi | — | — | — | 21:27 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 01:00 UTC | View → |
| Kalshi | — | — | — | 23:12 UTC | View → |
| Kalshi | — | — | — | 04:48 UTC | View → |
| Kalshi | — | — | — | 14:01 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 07:29 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 17:05 UTC | View → |
| Kalshi | — | — | — | 13:42 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
What do these odds mean?
Cross-platform data for yes Cade Cunningham: 6+,yes Jrue Holiday: 4+,yes Charlotte,yes Golden State,yes Los Angeles C,yes Houston,yes Boston,yes Orlando,yes New York,yes Miles Bridges: 10+,yes Deni Avdija: 20+,yes Toumani Camara: 10+,yes Brandon Miller: 2+,no Atlanta wins by over 7.5 points 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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