yes Real Madrid,yes Barcelona,yes San Diego,yes Golden State,yes COL Avalanche
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 14:50 UTC | View → |
| Kalshi | — | — | — | 07:10 UTC | View → |
| Kalshi | — | — | — | 18:37 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 05:03 UTC | View → |
| Kalshi | — | — | — | 19:31 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 14:51 UTC | View → |
| Kalshi | — | — | — | 17:27 UTC | View → |
| Kalshi | — | — | — | 12:31 UTC | View → |
| Kalshi | — | — | — | 06:51 UTC | View → |
| Kalshi | — | — | — | 15:34 UTC | View → |
| Kalshi | — | — | — | 08:35 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 13:44 UTC | View → |
| Kalshi | — | — | — | 15:08 UTC | View → |
| Kalshi | — | — | — | 14:00 UTC | View → |
| Kalshi | — | — | — | 14:01 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 14:44 UTC | View → |
| Kalshi | — | — | — | 18:02 UTC | View → |
| Kalshi | — | — | — | 13:36 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
| Kalshi | — | — | — | 17:33 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 04:58 UTC | View → |
| Kalshi | — | — | — | 06:51 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 04:58 UTC | View → |
| Kalshi | — | — | — | 04:38 UTC | View → |
| Kalshi | — | — | — | 04:34 UTC | View → |
What do these odds mean?
Cross-platform data for yes Real Madrid,yes Barcelona,yes San Diego,yes Golden State,yes COL Avalanche 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
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