yes Chris Gotterup,yes Gary Woodland,yes Jason Day,yes Kurt Kitayama,yes Tommy Fleetwood
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 15:43 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
| Kalshi | — | — | — | 15:24 UTC | View → |
| Kalshi | — | — | — | 13:48 UTC | View → |
| Kalshi | — | — | — | 08:05 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 05:10 UTC | View → |
| Kalshi | — | — | — | 05:54 UTC | View → |
| Kalshi | — | — | — | 10:20 UTC | View → |
| Kalshi | — | — | — | 20:58 UTC | View → |
| Kalshi | — | — | — | 11:23 UTC | View → |
| Kalshi | — | — | — | 06:13 UTC | View → |
| Kalshi | — | — | — | 16:10 UTC | View → |
| Kalshi | — | — | — | 13:48 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 04:45 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
| Kalshi | — | — | — | 12:16 UTC | View → |
| Kalshi | — | — | — | 12:52 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
| Kalshi | — | — | — | 11:54 UTC | View → |
| Kalshi | — | — | — | 05:49 UTC | View → |
| Kalshi | — | — | — | 12:00 UTC | View → |
| Kalshi | — | — | — | 16:14 UTC | View → |
| Kalshi | — | — | — | 05:55 UTC | View → |
What do these odds mean?
Cross-platform data for yes Chris Gotterup,yes Gary Woodland,yes Jason Day,yes Kurt Kitayama,yes Tommy Fleetwood 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
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