yes Akshay Bhatia,yes Cameron Young,yes Shane Lowry,yes Scottie Scheffler,yes Tommy Fleetwood,yes Justin Rose
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 10:59 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 11:06 UTC | View → |
| Kalshi | — | — | — | 11:11 UTC | View → |
| Kalshi | — | — | — | 11:11 UTC | View → |
| Kalshi | — | — | — | 11:02 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 11:08 UTC | View → |
| Kalshi | — | — | — | 12:10 UTC | View → |
| Kalshi | — | — | — | 16:24 UTC | View → |
| Kalshi | — | — | — | 16:12 UTC | View → |
| Kalshi | — | — | — | 09:32 UTC | View → |
| Kalshi | — | — | — | 13:37 UTC | View → |
| Kalshi | — | — | — | 12:10 UTC | View → |
| Kalshi | — | — | — | 17:56 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 14:07 UTC | View → |
| Kalshi | — | — | — | 22:22 UTC | View → |
| Kalshi | — | — | — | 19:16 UTC | View → |
| Kalshi | — | — | — | 12:10 UTC | View → |
| Kalshi | — | — | — | 16:12 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
What do these odds mean?
Cross-platform data for yes Akshay Bhatia,yes Cameron Young,yes Shane Lowry,yes Scottie Scheffler,yes Tommy Fleetwood,yes Justin Rose 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.
News & context
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