yes CJ McCollum: 1+,yes Atlanta,yes Golden State,yes Utah,yes Houston,yes New York,yes Nickeil Alexander-Walker: 15+,yes Cade Cunningham: 15+,yes RJ Barrett: 15+,yes San Antonio wins by over 6.5 points,no Portland wins by over 17.5 points,yes Miami wins by over 5.5 points,yes Boston wins by over 11.5 points,yes Orlando wins by over 5.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 00:14 UTC | View → |
| Kalshi | — | — | — | 12:25 UTC | View → |
| Kalshi | — | — | — | 13:00 UTC | View → |
| Kalshi | — | — | — | 20:43 UTC | View → |
| Kalshi | — | — | — | 16:19 UTC | View → |
| Kalshi | — | — | — | 00:14 UTC | View → |
| Kalshi | — | — | — | 10:11 UTC | View → |
| Kalshi | — | — | — | 22:12 UTC | View → |
| Kalshi | — | — | — | 11:05 UTC | View → |
| Kalshi | — | — | — | 11:06 UTC | View → |
| Kalshi | — | — | — | 11:07 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 11:07 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 20:21 UTC | View → |
| Kalshi | — | — | — | 11:06 UTC | View → |
What do these odds mean?
Cross-platform data for yes CJ McCollum: 1+,yes Atlanta,yes Golden State,yes Utah,yes Houston,yes New York,yes Nickeil Alexander-Walker: 15+,yes Cade Cunningham: 15+,yes RJ Barrett: 15+,yes San Antonio wins by over 6.5 points,no Portland wins by over 17.5 points,yes Miami wins by over 5.5 points,yes Boston wins by over 11.5 points,yes Orlando wins by over 5.5 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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