yes Hideki Matsuyama,yes Xander Schauffele,yes Sam Burns,yes Scottie Scheffler,yes Rory McIlroy
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:02 UTC | View → |
| Kalshi | — | — | — | 10:55 UTC | View → |
| Kalshi | — | — | — | 00:08 UTC | View → |
| Kalshi | — | — | — | 00:08 UTC | View → |
| Kalshi | — | — | — | 12:07 UTC | View → |
| Kalshi | — | — | — | 04:30 UTC | View → |
| Kalshi | — | — | — | 13:42 UTC | View → |
| Kalshi | — | — | — | 00:08 UTC | View → |
| Kalshi | — | — | — | 11:29 UTC | View → |
| Kalshi | — | — | — | 06:15 UTC | View → |
What do these odds mean?
Cross-platform data for yes Hideki Matsuyama,yes Xander Schauffele,yes Sam Burns,yes Scottie Scheffler,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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