yes Real Madrid,yes Marseille,yes Cincinnati,yes Milwaukee,yes Los Angeles D,yes Golden State,yes Roma
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:51 UTC | View → |
| Kalshi | — | — | — | 15:56 UTC | View → |
| Kalshi | — | — | — | 18:04 UTC | View → |
| Kalshi | — | — | — | 16:03 UTC | View → |
| Kalshi | — | — | — | 08:42 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 16:02 UTC | View → |
| Kalshi | — | — | — | 08:22 UTC | View → |
| Kalshi | — | — | — | 12:33 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 19:29 UTC | View → |
| Kalshi | — | — | — | 11:28 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 13:39 UTC | View → |
| Kalshi | — | — | — | 12:32 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 10:46 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 16:07 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 08:16 UTC | View → |
| Kalshi | — | — | — | 08:37 UTC | View → |
| Kalshi | — | — | — | 09:53 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 09:51 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 19:33 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 08:13 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 08:08 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 12:49 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 06:34 UTC | View → |
| Kalshi | — | — | — | 06:02 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 06:30 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 06:36 UTC | View → |
| Kalshi | — | — | — | 09:55 UTC | View → |
| Kalshi | — | — | — | 19:17 UTC | View → |
| Kalshi | — | — | — | 13:36 UTC | View → |
| Kalshi | — | — | — | 18:54 UTC | View → |
| Kalshi | — | — | — | 08:19 UTC | View → |
| Kalshi | — | — | — | 09:52 UTC | View → |
| Kalshi | — | — | — | 07:46 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 08:26 UTC | View → |
| Kalshi | — | — | — | 08:15 UTC | View → |
| Kalshi | — | — | — | 07:45 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 06:35 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
What do these odds mean?
Cross-platform data for yes Real Madrid,yes Marseille,yes Cincinnati,yes Milwaukee,yes Los Angeles D,yes Golden State,yes Roma 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.