yes Augsburg,yes Real Madrid,yes Marseille,yes Atlanta,yes San Antonio,yes Charlotte,yes Portland,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,yes Roma
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:58 UTC | View → |
| Kalshi | — | — | — | 19:21 UTC | View → |
| Kalshi | — | — | — | 18:58 UTC | View → |
| Kalshi | — | — | — | 16:36 UTC | View → |
| Kalshi | — | — | — | 16:36 UTC | View → |
| Kalshi | — | — | — | 05:46 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 19:08 UTC | View → |
| Kalshi | — | — | — | 18:49 UTC | View → |
| Kalshi | — | — | — | 18:45 UTC | View → |
| Kalshi | — | — | — | 18:58 UTC | View → |
| Kalshi | — | — | — | 19:04 UTC | View → |
| Kalshi | — | — | — | 18:46 UTC | View → |
| Kalshi | — | — | — | 18:46 UTC | View → |
| Kalshi | — | — | — | 19:09 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 18:46 UTC | View → |
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 17:17 UTC | View → |
| Kalshi | — | — | — | 18:58 UTC | View → |
| Kalshi | — | — | — | 15:01 UTC | View → |
| Kalshi | — | — | — | 17:51 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 19:02 UTC | View → |
| Kalshi | — | — | — | 18:49 UTC | View → |
| Kalshi | — | — | — | 18:53 UTC | View → |
| Kalshi | — | — | — | 19:36 UTC | View → |
| Kalshi | — | — | — | 08:31 UTC | View → |
| Kalshi | — | — | — | 15:01 UTC | View → |
| Kalshi | — | — | — | 17:03 UTC | View → |
| Kalshi | — | — | — | 17:54 UTC | View → |
| Kalshi | — | — | — | 18:48 UTC | View → |
| Kalshi | — | — | — | 11:04 UTC | View → |
What do these odds mean?
Cross-platform data for yes Augsburg,yes Real Madrid,yes Marseille,yes Atlanta,yes San Antonio,yes Charlotte,yes Portland,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes New York,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.