yes Curtis Blaydes,yes Kevin Holland,yes Azamat Murzakanov,yes Christopher Padilla,yes Johnny Walker,yes Nate Landwehr
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 23:55 UTC | View → |
| Kalshi | — | — | — | 22:37 UTC | View → |
| Kalshi | — | — | — | 15:46 UTC | View → |
| Kalshi | — | — | — | 23:55 UTC | View → |
| Kalshi | — | — | — | 16:35 UTC | View → |
| Kalshi | — | — | — | 05:22 UTC | View → |
| Kalshi | — | — | — | 17:59 UTC | View → |
| Kalshi | — | — | — | 18:22 UTC | View → |
| Kalshi | — | — | — | 18:31 UTC | View → |
| Kalshi | — | — | — | 05:40 UTC | View → |
| Kalshi | — | — | — | 18:03 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 18:03 UTC | View → |
| Kalshi | — | — | — | 11:23 UTC | View → |
| Kalshi | — | — | — | 22:38 UTC | View → |
| Kalshi | — | — | — | 11:23 UTC | View → |
| Kalshi | — | — | — | 11:43 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 10:03 UTC | View → |
| Kalshi | — | — | — | 18:39 UTC | View → |
| Kalshi | — | — | — | 12:26 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 16:10 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
What do these odds mean?
Cross-platform data for yes Curtis Blaydes,yes Kevin Holland,yes Azamat Murzakanov,yes Christopher Padilla,yes Johnny Walker,yes Nate Landwehr 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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