yes Justin Rose,yes Patrick Reed,yes Rory McIlroy,yes Scottie Scheffler,yes Xander Schauffele
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 11:21 UTC | View → |
| Kalshi | — | — | — | 14:11 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 10:28 UTC | View → |
| Kalshi | — | — | — | 14:42 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 14:11 UTC | View → |
| Kalshi | — | — | — | 06:59 UTC | View → |
| Kalshi | — | — | — | 14:35 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 04:52 UTC | View → |
| Kalshi | — | — | — | 14:12 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 04:52 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 10:29 UTC | View → |
| Kalshi | — | — | — | 11:21 UTC | View → |
| Kalshi | — | — | — | 12:19 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 10:37 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 14:17 UTC | View → |
| Kalshi | — | — | — | 02:20 UTC | View → |
| Kalshi | — | — | — | 12:05 UTC | View → |
| Kalshi | — | — | — | 14:17 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 12:04 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 14:27 UTC | View → |
| Kalshi | — | — | — | 02:18 UTC | View → |
| Kalshi | — | — | — | 15:02 UTC | View → |
| Kalshi | — | — | — | 12:17 UTC | View → |
| Kalshi | — | — | — | 13:27 UTC | View → |
| Kalshi | — | — | — | 13:11 UTC | View → |
| Kalshi | — | — | — | 14:40 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
| Kalshi | — | — | — | 13:34 UTC | View → |
| Kalshi | — | — | — | 06:03 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 13:25 UTC | View → |
| Kalshi | — | — | — | 08:01 UTC | View → |
| Kalshi | — | — | — | 12:40 UTC | View → |
| Kalshi | — | — | — | 14:08 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 14:17 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 13:34 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 13:25 UTC | View → |
| Kalshi | — | — | — | 13:08 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 05:16 UTC | View → |
| Kalshi | — | — | — | 12:02 UTC | View → |
| Kalshi | — | — | — | 11:56 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 06:05 UTC | View → |
| Kalshi | — | — | — | 02:20 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 14:19 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 13:34 UTC | View → |
What do these odds mean?
Cross-platform data for yes Justin Rose,yes Patrick Reed,yes Rory McIlroy,yes Scottie Scheffler,yes Xander Schauffele 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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.