yes Baltimore,yes Cincinnati,yes Aaron Judge: 1+,yes Cody Bellinger: 1+,yes Jo Adell: 1+,yes Oneil Cruz: 1+,yes Elly De La Cruz: 1+,yes James Wood: 1+,yes Kyle Schwarber: 1+,yes Trea Turner: 1+,yes Jonathan Aranda: 1+,yes Juan Soto: 1+,yes Alex Bregman: 1+,yes Pete Crow-Armstrong: 1+,yes Fernando Tatis Jr.: 1+,no Over 10.5 runs scored,no Over 10.5 runs scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:36 UTC | View → |
What do these odds mean?
Cross-platform data for yes Baltimore,yes Cincinnati,yes Aaron Judge: 1+,yes Cody Bellinger: 1+,yes Jo Adell: 1+,yes Oneil Cruz: 1+,yes Elly De La Cruz: 1+,yes James Wood: 1+,yes Kyle Schwarber: 1+,yes Trea Turner: 1+,yes Jonathan Aranda: 1+,yes Juan Soto: 1+,yes Alex Bregman: 1+,yes Pete Crow-Armstrong: 1+,yes Fernando Tatis Jr.: 1+,no Over 10.5 runs scored,no Over 10.5 runs scored 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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