yes Deni Avdija: 6+,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Los Angeles C,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,yes Nickeil Alexander-Walker: 15+,yes De'Aaron Fox: 15+,yes LaMelo Ball: 20+,yes Miles Bridges: 10+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Donovan Clingan: 10+,yes Kon Knueppel: 4+,yes Donovan Clingan: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:10 UTC | View → |
| Kalshi | — | — | — | 11:44 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 11:42 UTC | View → |
| Kalshi | — | — | — | 06:30 UTC | View → |
| Kalshi | — | — | — | 11:44 UTC | View → |
| Kalshi | — | — | — | 20:52 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 20:50 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 11:41 UTC | View → |
| Kalshi | — | — | — | 20:51 UTC | View → |
| Kalshi | — | — | — | 11:38 UTC | View → |
| Kalshi | — | — | — | 11:38 UTC | View → |
| Kalshi | — | — | — | 11:45 UTC | View → |
| Kalshi | — | — | — | 11:38 UTC | View → |
| Kalshi | — | — | — | 05:47 UTC | View → |
| Kalshi | — | — | — | 08:00 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 21:59 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
What do these odds mean?
Cross-platform data for yes Deni Avdija: 6+,yes Atlanta,yes San Antonio,yes Charlotte,yes Golden State,yes Los Angeles C,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,yes Nickeil Alexander-Walker: 15+,yes De'Aaron Fox: 15+,yes LaMelo Ball: 20+,yes Miles Bridges: 10+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Donovan Clingan: 10+,yes Kon Knueppel: 4+,yes Donovan Clingan: 10+ 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
Your edge calculator
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