yes Curtis Blaydes,yes Esteban Ribovics,yes Kelvin Gastelum,yes Randy Brown,yes Paulo Henrique Costa,yes Christopher Padilla,yes Jiri Prochazka,yes Dominick Reyes,yes Cub Swanson
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:22 UTC | View → |
| Kalshi | — | — | — | 17:01 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 21:21 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 17:00 UTC | View → |
| Kalshi | — | — | — | 11:08 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 08:21 UTC | View → |
| Kalshi | — | — | — | 18:27 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 11:08 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 06:04 UTC | View → |
| Kalshi | — | — | — | 09:02 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 07:26 UTC | View → |
| Kalshi | — | — | — | 21:23 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
| Kalshi | — | — | — | 06:23 UTC | View → |
| Kalshi | — | — | — | 19:41 UTC | View → |
| Kalshi | — | — | — | 16:43 UTC | View → |
| Kalshi | — | — | — | 05:48 UTC | View → |
| Kalshi | — | — | — | 07:26 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 16:43 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 07:27 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 20:07 UTC | View → |
| Kalshi | — | — | — | 19:38 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 15:02 UTC | View → |
What do these odds mean?
Cross-platform data for yes Curtis Blaydes,yes Esteban Ribovics,yes Kelvin Gastelum,yes Randy Brown,yes Paulo Henrique Costa,yes Christopher Padilla,yes Jiri Prochazka,yes Dominick Reyes,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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.