yes Joao Fonseca,yes Valentin Vacherot,yes Atlanta,yes Golden State,yes Los Angeles C,yes Cade Cunningham: 15+,no Charlotte wins by over 7.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 09:08 UTC | View → |
| Kalshi | — | — | — | 09:08 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 04:57 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 05:41 UTC | View → |
| Kalshi | — | — | — | 09:44 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 04:35 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 07:15 UTC | View → |
| Kalshi | — | — | — | 05:09 UTC | View → |
| Kalshi | — | — | — | 07:03 UTC | View → |
| Kalshi | — | — | — | 11:27 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
What do these odds mean?
Cross-platform data for yes Joao Fonseca,yes Valentin Vacherot,yes Atlanta,yes Golden State,yes Los Angeles C,yes Cade Cunningham: 15+,no Charlotte 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.
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