yes Jamey-Lyn Horth,yes Tanner Boser,yes Gilbert Burns,yes Dennis Buzukja,yes Mark Vologdin,yes Darya Zheleznyakova,yes Jasmine Jasudavicius,yes Charles Jourdain,yes Robert Valentin,yes Gauge Young,yes Mandel Nallo,yes Mitch Raposo,yes John Yannis
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 02:16 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
What do these odds mean?
Cross-platform data for yes Jamey-Lyn Horth,yes Tanner Boser,yes Gilbert Burns,yes Dennis Buzukja,yes Mark Vologdin,yes Darya Zheleznyakova,yes Jasmine Jasudavicius,yes Charles Jourdain,yes Robert Valentin,yes Gauge Young,yes Mandel Nallo,yes Mitch Raposo,yes John Yannis 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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