yes Alexander Bublik,yes Jannik Sinner,yes Alexander Zverev,yes Valentin Vacherot,yes Atlanta,yes San Antonio,yes Detroit,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 14:41 UTC | View → |
| Kalshi | — | — | — | 07:33 UTC | View → |
| Kalshi | — | — | — | 13:57 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 06:45 UTC | View → |
| Kalshi | — | — | — | 14:41 UTC | View → |
| Kalshi | — | — | — | 05:16 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 05:16 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 14:41 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 14:41 UTC | View → |
| Kalshi | — | — | — | 14:41 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 14:00 UTC | View → |
| Kalshi | — | — | — | 14:00 UTC | View → |
| Kalshi | — | — | — | 09:44 UTC | View → |
| Kalshi | — | — | — | 14:34 UTC | View → |
| Kalshi | — | — | — | 12:03 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 09:31 UTC | View → |
| Kalshi | — | — | — | 14:32 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 13:18 UTC | View → |
| Kalshi | — | — | — | 14:34 UTC | View → |
| Kalshi | — | — | — | 11:58 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 14:00 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 13:12 UTC | View → |
What do these odds mean?
Cross-platform data for yes Alexander Bublik,yes Jannik Sinner,yes Alexander Zverev,yes Valentin Vacherot,yes Atlanta,yes San Antonio,yes Detroit,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York 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.