yes Sam Burns,yes Jason Day
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 07:30 UTC | View → |
| Kalshi | — | — | — | 06:48 UTC | View → |
| Kalshi | — | — | — | 06:48 UTC | View → |
| Kalshi | — | — | — | 05:17 UTC | View → |
| Kalshi | — | — | — | 04:45 UTC | View → |
| Kalshi | — | — | — | 08:50 UTC | View → |
| Kalshi | — | — | — | 07:25 UTC | View → |
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 07:50 UTC | View → |
| Kalshi | — | — | — | 07:51 UTC | View → |
| Kalshi | — | — | — | 08:51 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 05:52 UTC | View → |
| Kalshi | — | — | — | 08:08 UTC | View → |
| Kalshi | — | — | — | 04:45 UTC | View → |
| Kalshi | — | — | — | 09:58 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 09:44 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 06:06 UTC | View → |
| Kalshi | — | — | — | 05:59 UTC | View → |
| Kalshi | — | — | — | 05:58 UTC | View → |
| Kalshi | — | — | — | 10:18 UTC | View → |
| Kalshi | — | — | — | 09:42 UTC | View → |
What do these odds mean?
Cross-platform data for yes Sam Burns,yes Jason Day 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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