yes West Ham,yes Marseille,yes Monaco,yes Milwaukee,yes Atlanta,yes Golden State,yes Portland,yes Houston,yes Denver,yes New York,yes Roma
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:04 UTC | View → |
| Kalshi | — | — | — | 08:55 UTC | View → |
| Kalshi | — | — | — | 19:46 UTC | View → |
| Kalshi | — | — | — | 19:47 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 17:35 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 08:27 UTC | View → |
| Kalshi | — | — | — | 17:28 UTC | View → |
| Kalshi | — | — | — | 19:55 UTC | View → |
| Kalshi | — | — | — | 17:35 UTC | View → |
| Kalshi | — | — | — | 19:32 UTC | View → |
| Kalshi | — | — | — | 19:48 UTC | View → |
| Kalshi | — | — | — | 16:34 UTC | View → |
| Kalshi | — | — | — | 17:06 UTC | View → |
| Kalshi | — | — | — | 20:27 UTC | View → |
| Kalshi | — | — | — | 16:34 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 10:21 UTC | View → |
| Kalshi | — | — | — | 19:55 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
What do these odds mean?
Cross-platform data for yes West Ham,yes Marseille,yes Monaco,yes Milwaukee,yes Atlanta,yes Golden State,yes Portland,yes Houston,yes Denver,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.