yes Bub Carrington: 2+,yes Nickeil Alexander-Walker: 15+,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Toumani Camara: 10+,yes Davion Mitchell: 10+,yes Kevin Durant: 20+,yes VJ Edgecombe: 10+,yes LeBron James: 15+,yes Karl-Anthony Towns: 10+,yes LaMelo Ball: 2+,yes Ausar Thompson: 2+,yes Tyler Herro: 2+,yes Kevin Durant: 2+,yes Paolo Banchero: 4+,yes Paul George: 2+,yes LeBron James: 4+,yes RJ Barrett: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 12:34 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 15:07 UTC | View → |
| Kalshi | — | — | — | 16:27 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 14:20 UTC | View → |
| Kalshi | — | — | — | 20:31 UTC | View → |
| Kalshi | — | — | — | 14:20 UTC | View → |
| Kalshi | — | — | — | 14:20 UTC | View → |
| Kalshi | — | — | — | 13:18 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 21:56 UTC | View → |
| Kalshi | — | — | — | 15:40 UTC | View → |
| Kalshi | — | — | — | 21:57 UTC | View → |
| Kalshi | — | — | — | 15:39 UTC | View → |
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 12:59 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 20:32 UTC | View → |
| Kalshi | — | — | — | 20:04 UTC | View → |
What do these odds mean?
Cross-platform data for yes Bub Carrington: 2+,yes Nickeil Alexander-Walker: 15+,yes James Harden: 15+,yes LaMelo Ball: 15+,yes Toumani Camara: 10+,yes Davion Mitchell: 10+,yes Kevin Durant: 20+,yes VJ Edgecombe: 10+,yes LeBron James: 15+,yes Karl-Anthony Towns: 10+,yes LaMelo Ball: 2+,yes Ausar Thompson: 2+,yes Tyler Herro: 2+,yes Kevin Durant: 2+,yes Paolo Banchero: 4+,yes Paul George: 2+,yes LeBron James: 4+,yes RJ Barrett: 2+ 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
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.