yes Payton Pritchard: 1+,yes Tyrese Maxey: 1+,yes OG Anunoby: 1+,yes Payton Pritchard: 2+,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes James Harden: 15+,yes Payton Pritchard: 10+,yes VJ Edgecombe: 10+,yes Paolo Banchero: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 23:33 UTC | View → |
| Kalshi | — | — | — | 21:01 UTC | View → |
| Kalshi | — | — | — | 23:37 UTC | View → |
| Kalshi | — | — | — | 20:13 UTC | View → |
| Kalshi | — | — | — | 22:33 UTC | View → |
| Kalshi | — | — | — | 22:32 UTC | View → |
| Kalshi | — | — | — | 20:18 UTC | View → |
| Kalshi | — | — | — | 19:41 UTC | View → |
| Kalshi | — | — | — | 22:10 UTC | View → |
| Kalshi | — | — | — | 19:40 UTC | View → |
| Kalshi | — | — | — | 20:39 UTC | View → |
| Kalshi | — | — | — | 01:01 UTC | View → |
| Kalshi | — | — | — | 20:18 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 21:01 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 23:27 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 19:05 UTC | View → |
| Kalshi | — | — | — | 22:49 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 23:26 UTC | View → |
| Kalshi | — | — | — | 21:43 UTC | View → |
| Kalshi | — | — | — | 22:29 UTC | View → |
| Kalshi | — | — | — | 00:13 UTC | View → |
| Kalshi | — | — | — | 22:58 UTC | View → |
What do these odds mean?
Cross-platform data for yes Payton Pritchard: 1+,yes Tyrese Maxey: 1+,yes OG Anunoby: 1+,yes Payton Pritchard: 2+,yes Miami,yes Boston,yes Orlando,yes Philadelphia,yes James Harden: 15+,yes Payton Pritchard: 10+,yes VJ Edgecombe: 10+,yes Paolo Banchero: 4+ 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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