yes Tyler Herro: 1+,yes Los Angeles C,yes CJ McCollum: 15+,yes Nickeil Alexander-Walker: 15+,yes LaMelo Ball: 20+,yes Miles Bridges: 10+,yes Paul George: 15+,yes Paolo Banchero: 15+,yes Bam Adebayo: 8+,yes Moussa Diabaté: 6+,yes Charlotte wins by over 4.5 points,yes Philadelphia wins by over 8.5 points,yes Orlando wins by over 6.5 points,yes Portland wins by over 5.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:22 UTC | View → |
| Kalshi | — | — | — | 02:41 UTC | View → |
| Kalshi | — | — | — | 08:22 UTC | View → |
What do these odds mean?
Cross-platform data for yes Tyler Herro: 1+,yes Los Angeles C,yes CJ McCollum: 15+,yes Nickeil Alexander-Walker: 15+,yes LaMelo Ball: 20+,yes Miles Bridges: 10+,yes Paul George: 15+,yes Paolo Banchero: 15+,yes Bam Adebayo: 8+,yes Moussa Diabaté: 6+,yes Charlotte wins by over 4.5 points,yes Philadelphia wins by over 8.5 points,yes Orlando wins by over 6.5 points,yes Portland 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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