yes Miami,yes Aaron Rai,yes Adam Scott,yes Brian Campbell,yes Ben Griffin,yes Brian Harman,yes Brooks Koepka,yes Corey Conners,yes Chris Gotterup,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Justin Rose,yes Kurt Kitayama,yes Michael Brennan,yes Rory McIlroy,yes Sungjae Im,yes Sam Stevens,yes Tyrrell Hatton,yes Wyndham Clark,yes Xander Schauffele,yes Justin Rose,yes Rory McIlroy
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:48 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miami,yes Aaron Rai,yes Adam Scott,yes Brian Campbell,yes Ben Griffin,yes Brian Harman,yes Brooks Koepka,yes Corey Conners,yes Chris Gotterup,yes Hideki Matsuyama,yes Jacob Bridgeman,yes Justin Rose,yes Kurt Kitayama,yes Michael Brennan,yes Rory McIlroy,yes Sungjae Im,yes Sam Stevens,yes Tyrrell Hatton,yes Wyndham Clark,yes Xander Schauffele,yes Justin Rose,yes Rory McIlroy 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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