yes Arsenal,yes Brighton,yes MTL Canadiens,yes MIN Wild,yes NYI Islanders,yes PIT Penguins,yes Curtis Blaydes,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Azamat Murzakanov,yes Christopher Padilla,yes Jiri Prochazka,yes Charles Radtke,yes Dominick Reyes,yes Tatiana Suarez
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:16 UTC | View → |
| Kalshi | — | — | — | 10:16 UTC | View → |
| Kalshi | — | — | — | 10:16 UTC | View → |
What do these odds mean?
Cross-platform data for yes Arsenal,yes Brighton,yes MTL Canadiens,yes MIN Wild,yes NYI Islanders,yes PIT Penguins,yes Curtis Blaydes,yes Mateusz Gamrot,yes Kelvin Gastelum,yes Azamat Murzakanov,yes Christopher Padilla,yes Jiri Prochazka,yes Charles Radtke,yes Dominick Reyes,yes Tatiana Suarez 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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