yes Carlos Alcaraz,yes Alexander Zverev,yes Real Madrid,yes Atlanta,yes San Antonio,yes Miami,yes Boston,yes Mirra Andreeva
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 13:48 UTC | View → |
| Kalshi | — | — | — | 07:39 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 06:39 UTC | View → |
| Kalshi | — | — | — | 07:23 UTC | View → |
| Kalshi | — | — | — | 05:37 UTC | View → |
| Kalshi | — | — | — | 13:55 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 08:18 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 06:39 UTC | View → |
| Kalshi | — | — | — | 09:14 UTC | View → |
| Kalshi | — | — | — | 11:44 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 07:51 UTC | View → |
| Kalshi | — | — | — | 05:43 UTC | View → |
| Kalshi | — | — | — | 19:34 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 12:56 UTC | View → |
| Kalshi | — | — | — | 06:19 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 06:09 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 13:56 UTC | View → |
| Kalshi | — | — | — | 06:09 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 13:56 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 08:04 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 06:05 UTC | View → |
| Kalshi | — | — | — | 11:10 UTC | View → |
| Kalshi | — | — | — | 13:22 UTC | View → |
| Kalshi | — | — | — | 05:32 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 11:45 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 10:22 UTC | View → |
| Kalshi | — | — | — | 10:50 UTC | View → |
| Kalshi | — | — | — | 11:22 UTC | View → |
| Kalshi | — | — | — | 07:48 UTC | View → |
| Kalshi | — | — | — | 07:13 UTC | View → |
| Kalshi | — | — | — | 06:05 UTC | View → |
| Kalshi | — | — | — | 14:05 UTC | View → |
| Kalshi | — | — | — | 13:56 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 05:26 UTC | View → |
| Kalshi | — | — | — | 06:46 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 11:07 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 10:30 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 14:05 UTC | View → |
| Kalshi | — | — | — | 08:47 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 07:07 UTC | View → |
| Kalshi | — | — | — | 06:23 UTC | View → |
| Kalshi | — | — | — | 10:27 UTC | View → |
| Kalshi | — | — | — | 07:07 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 04:33 UTC | View → |
| Kalshi | — | — | — | 14:33 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
What do these odds mean?
Cross-platform data for yes Carlos Alcaraz,yes Alexander Zverev,yes Real Madrid,yes Atlanta,yes San Antonio,yes Miami,yes Boston,yes Mirra Andreeva 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.