yes Kon Knueppel: 2+,yes Desmond Bane: 1+,yes Paolo Banchero: 2+,yes RJ Barrett: 2+,yes Onyeka Okongwu: 10+,yes Brandon Miller: 15+,yes Alperen Sengun: 20+,yes Anthony Black: 10+,yes Boston wins by over 8.5 points,yes New York wins by over 3.5 points,yes Over 234.5 points scored,yes Over 226.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 07:45 UTC | View → |
| Kalshi | — | — | — | 06:44 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 13:35 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 13:55 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 06:43 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 09:47 UTC | View → |
| Kalshi | — | — | — | 20:34 UTC | View → |
| Kalshi | — | — | — | 20:37 UTC | View → |
| Kalshi | — | — | — | 16:14 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kon Knueppel: 2+,yes Desmond Bane: 1+,yes Paolo Banchero: 2+,yes RJ Barrett: 2+,yes Onyeka Okongwu: 10+,yes Brandon Miller: 15+,yes Alperen Sengun: 20+,yes Anthony Black: 10+,yes Boston wins by over 8.5 points,yes New York wins by over 3.5 points,yes Over 234.5 points scored,yes Over 226.5 points scored 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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