yes Ausar Thompson: 2+,yes Atlanta,yes San Antonio,yes Miami,yes Boston,yes Orlando,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Miles Bridges: 10+,yes Toumani Camara: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:47 UTC | View → |
| Kalshi | — | — | — | 10:10 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:42 UTC | View → |
| Kalshi | — | — | — | 19:21 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 13:10 UTC | View → |
| Kalshi | — | — | — | 04:50 UTC | View → |
| Kalshi | — | — | — | 14:02 UTC | View → |
| Kalshi | — | — | — | 04:41 UTC | View → |
| Kalshi | — | — | — | 10:10 UTC | View → |
| Kalshi | — | — | — | 10:02 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 09:57 UTC | View → |
| Kalshi | — | — | — | 00:26 UTC | View → |
| Kalshi | — | — | — | 23:07 UTC | View → |
| Kalshi | — | — | — | 10:02 UTC | View → |
| Kalshi | — | — | — | 10:08 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 07:45 UTC | View → |
| Kalshi | — | — | — | 09:51 UTC | View → |
| Kalshi | — | — | — | 10:08 UTC | View → |
| Kalshi | — | — | — | 09:57 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 04:48 UTC | View → |
What do these odds mean?
Cross-platform data for yes Ausar Thompson: 2+,yes Atlanta,yes San Antonio,yes Miami,yes Boston,yes Orlando,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Miles Bridges: 10+,yes Toumani Camara: 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
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.