yes Curtis Blaydes,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Azamat Murzakanov,yes Christopher Padilla,yes Jiri Prochazka,yes Charles Radtke,yes Tatiana Suarez,yes Cub Swanson
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 00:34 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 00:34 UTC | View → |
| Kalshi | — | — | — | 00:25 UTC | View → |
| Kalshi | — | — | — | 07:24 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 11:46 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 00:01 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 00:34 UTC | View → |
| Kalshi | — | — | — | 07:20 UTC | View → |
| Kalshi | — | — | — | 14:10 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 18:36 UTC | View → |
| Kalshi | — | — | — | 16:00 UTC | View → |
| Kalshi | — | — | — | 18:36 UTC | View → |
| Kalshi | — | — | — | 19:28 UTC | View → |
| Kalshi | — | — | — | 05:25 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 17:47 UTC | View → |
| Kalshi | — | — | — | 17:09 UTC | View → |
| Kalshi | — | — | — | 19:17 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
| Kalshi | — | — | — | 07:28 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
What do these odds mean?
Cross-platform data for yes Curtis Blaydes,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Azamat Murzakanov,yes Christopher Padilla,yes Jiri Prochazka,yes Charles Radtke,yes Tatiana Suarez,yes Cub Swanson 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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