yes Miami,yes Boston,yes Curtis Blaydes,yes Aaron Pico,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Randy Brown,yes Azamat Murzakanov,yes Jiri Prochazka,yes Dominick Reyes,yes Tatiana Suarez,yes Nate Landwehr
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:43 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miami,yes Boston,yes Curtis Blaydes,yes Aaron Pico,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Randy Brown,yes Azamat Murzakanov,yes Jiri Prochazka,yes Dominick Reyes,yes Tatiana Suarez,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.
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