yes Alexander Zverev,yes Alex de Minaur,yes San Diego,yes Aaron Pico
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:25 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 07:40 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 05:45 UTC | View → |
| Kalshi | — | — | — | 04:48 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 04:48 UTC | View → |
| Kalshi | — | — | — | 05:26 UTC | View → |
| Kalshi | — | — | — | 06:05 UTC | View → |
| Kalshi | — | — | — | 07:40 UTC | View → |
| Kalshi | — | — | — | 04:57 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 11:37 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
| Kalshi | — | — | — | 11:39 UTC | View → |
| Kalshi | — | — | — | 06:09 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 09:29 UTC | View → |
| Kalshi | — | — | — | 06:03 UTC | View → |
| Kalshi | — | — | — | 11:22 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 09:30 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 05:05 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 09:29 UTC | View → |
| Kalshi | — | — | — | 09:29 UTC | View → |
| Kalshi | — | — | — | 11:29 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 09:20 UTC | View → |
| Kalshi | — | — | — | 09:20 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 05:05 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 09:30 UTC | View → |
| Kalshi | — | — | — | 09:18 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 06:03 UTC | View → |
| Kalshi | — | — | — | 10:55 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 11:21 UTC | View → |
| Kalshi | — | — | — | 09:03 UTC | View → |
| Kalshi | — | — | — | 11:20 UTC | View → |
| Kalshi | — | — | — | 07:49 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 05:34 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 09:30 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 06:04 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 05:05 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 09:11 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
What do these odds mean?
Cross-platform data for yes Alexander Zverev,yes Alex de Minaur,yes San Diego,yes Aaron Pico 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.