yes Myles Turner: 2+,yes Jonathan Kuminga: 2+,yes Evan Mobley: 4+,yes Brandon Miller: 2+,yes Kon Knueppel: 2+,yes LaMelo Ball: 2+,yes Miles Bridges: 2+,yes Ausar Thompson: 2+,yes Cade Cunningham: 2+,yes Tobias Harris: 2+,yes Andrew Wiggins: 2+,yes Tyler Herro: 2+,yes Franz Wagner: 2+,yes Paolo Banchero: 4+,yes Wendell Carter Jr.: 4+,yes Kelly Oubre Jr.: 2+,yes Paul George: 2+,yes VJ Edgecombe: 2+,yes OG Anunoby: 2+,yes RJ Barrett: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:30 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 20:04 UTC | View → |
| Kalshi | — | — | — | 15:41 UTC | View → |
| Kalshi | — | — | — | 22:03 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 18:04 UTC | View → |
| Kalshi | — | — | — | 18:19 UTC | View → |
| Kalshi | — | — | — | 23:53 UTC | View → |
| Kalshi | — | — | — | 00:29 UTC | View → |
| Kalshi | — | — | — | 23:53 UTC | View → |
| Kalshi | — | — | — | 23:52 UTC | View → |
| Kalshi | — | — | — | 17:25 UTC | View → |
| Kalshi | — | — | — | 18:18 UTC | View → |
What do these odds mean?
Cross-platform data for yes Myles Turner: 2+,yes Jonathan Kuminga: 2+,yes Evan Mobley: 4+,yes Brandon Miller: 2+,yes Kon Knueppel: 2+,yes LaMelo Ball: 2+,yes Miles Bridges: 2+,yes Ausar Thompson: 2+,yes Cade Cunningham: 2+,yes Tobias Harris: 2+,yes Andrew Wiggins: 2+,yes Tyler Herro: 2+,yes Franz Wagner: 2+,yes Paolo Banchero: 4+,yes Wendell Carter Jr.: 4+,yes Kelly Oubre Jr.: 2+,yes Paul George: 2+,yes VJ Edgecombe: 2+,yes OG Anunoby: 2+,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.