yes Akshay Bhatia,yes Aaron Rai,yes Ben Griffin,yes Brooks Koepka,yes Cameron Young,yes Gary Woodland,yes Hao-Tong Li,yes Jacob Bridgeman,yes Jason Day,yes J.J. Spaun,yes Jordan Spieth,yes Michael Brennan,yes Max Homa,yes Sam Stevens,yes Rory McIlroy
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 04:38 UTC | View → |
| Kalshi | — | — | — | 05:34 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 08:07 UTC | View → |
| Kalshi | — | — | — | 07:05 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 07:05 UTC | View → |
| Kalshi | — | — | — | 05:33 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 05:32 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 08:46 UTC | View → |
| Kalshi | — | — | — | 09:33 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 09:33 UTC | View → |
| Kalshi | — | — | — | 09:33 UTC | View → |
What do these odds mean?
Cross-platform data for yes Akshay Bhatia,yes Aaron Rai,yes Ben Griffin,yes Brooks Koepka,yes Cameron Young,yes Gary Woodland,yes Hao-Tong Li,yes Jacob Bridgeman,yes Jason Day,yes J.J. Spaun,yes Jordan Spieth,yes Michael Brennan,yes Max Homa,yes Sam Stevens,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.
News & context
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.