yes CJ McCollum: 1+,yes Tyler Herro: 2+,yes Atlanta wins by over 1.5 points,no Charlotte wins by over 10.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 22:23 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 11:41 UTC | View → |
| Kalshi | — | — | — | 09:08 UTC | View → |
| Kalshi | — | — | — | 10:16 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 09:08 UTC | View → |
| Kalshi | — | — | — | 10:16 UTC | View → |
| Kalshi | — | — | — | 08:40 UTC | View → |
| Kalshi | — | — | — | 22:12 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 18:49 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 08:25 UTC | View → |
| Kalshi | — | — | — | 20:25 UTC | View → |
| Kalshi | — | — | — | 22:13 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 20:34 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 08:24 UTC | View → |
| Kalshi | — | — | — | 20:49 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
What do these odds mean?
Cross-platform data for yes CJ McCollum: 1+,yes Tyler Herro: 2+,yes Atlanta wins by over 1.5 points,no Charlotte wins by over 10.5 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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