yes Yordan Alvarez: 1+,yes Cal Raleigh: 1+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 14:16 UTC | View → |
| Kalshi | — | — | — | 00:22 UTC | View → |
| Kalshi | — | — | — | 04:53 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 00:28 UTC | View → |
| Kalshi | — | — | — | 04:53 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 18:37 UTC | View → |
| Kalshi | — | — | — | 00:48 UTC | View → |
| Kalshi | — | — | — | 13:12 UTC | View → |
| Kalshi | — | — | — | 15:42 UTC | View → |
| Kalshi | — | — | — | 18:36 UTC | View → |
| Kalshi | — | — | — | 04:26 UTC | View → |
| Kalshi | — | — | — | 16:24 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 16:43 UTC | View → |
| Kalshi | — | — | — | 16:42 UTC | View → |
| Kalshi | — | — | — | 08:50 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 19:20 UTC | View → |
| Kalshi | — | — | — | 00:07 UTC | View → |
| Kalshi | — | — | — | 04:51 UTC | View → |
| Kalshi | — | — | — | 17:36 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 00:34 UTC | View → |
| Kalshi | — | — | — | 11:17 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 14:33 UTC | View → |
| Kalshi | — | — | — | 06:20 UTC | View → |
| Kalshi | — | — | — | 08:13 UTC | View → |
| Kalshi | — | — | — | 00:34 UTC | View → |
| Kalshi | — | — | — | 08:13 UTC | View → |
What do these odds mean?
Cross-platform data for yes Yordan Alvarez: 1+,yes Cal Raleigh: 1+ 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
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