yes Desmond Bane: 1+,yes De'Aaron Fox: 10+,yes LaMelo Ball: 15+,yes LeBron James: 15+,yes Jalen Brunson: 15+,yes Scottie Barnes: 10+,yes Onyeka Okongwu: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 17:04 UTC | View → |
| Kalshi | — | — | — | 09:59 UTC | View → |
| Kalshi | — | — | — | 09:54 UTC | View → |
| Kalshi | — | — | — | 18:07 UTC | View → |
| Kalshi | — | — | — | 17:04 UTC | View → |
| Kalshi | — | — | — | 13:25 UTC | View → |
| Kalshi | — | — | — | 13:25 UTC | View → |
| Kalshi | — | — | — | 20:10 UTC | View → |
| Kalshi | — | — | — | 09:38 UTC | View → |
| Kalshi | — | — | — | 08:29 UTC | View → |
| Kalshi | — | — | — | 09:26 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 17:23 UTC | View → |
| Kalshi | — | — | — | 07:58 UTC | View → |
| Kalshi | — | — | — | 09:09 UTC | View → |
| Kalshi | — | — | — | 22:20 UTC | View → |
| Kalshi | — | — | — | 17:23 UTC | View → |
| Kalshi | — | — | — | 11:23 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 12:22 UTC | View → |
| Kalshi | — | — | — | 20:31 UTC | View → |
| Kalshi | — | — | — | 19:22 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 20:55 UTC | View → |
| Kalshi | — | — | — | 14:46 UTC | View → |
What do these odds mean?
Cross-platform data for yes Desmond Bane: 1+,yes De'Aaron Fox: 10+,yes LaMelo Ball: 15+,yes LeBron James: 15+,yes Jalen Brunson: 15+,yes Scottie Barnes: 10+,yes Onyeka Okongwu: 4+ 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.