yes Chicago C,yes Detroit,yes Los Angeles C,no San Antonio wins by over 21.5 points,yes Scottie Scheffler
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 11:41 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 20:02 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 13:05 UTC | View → |
| Kalshi | — | — | — | 15:48 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 05:28 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 16:32 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 17:59 UTC | View → |
| Kalshi | — | — | — | 16:30 UTC | View → |
| Kalshi | — | — | — | 13:06 UTC | View → |
| Kalshi | — | — | — | 17:39 UTC | View → |
| Kalshi | — | — | — | 09:22 UTC | View → |
| Kalshi | — | — | — | 07:26 UTC | View → |
| Kalshi | — | — | — | 06:36 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 06:55 UTC | View → |
| Kalshi | — | — | — | 17:12 UTC | View → |
| Kalshi | — | — | — | 16:30 UTC | View → |
| Kalshi | — | — | — | 12:15 UTC | View → |
| Kalshi | — | — | — | 05:31 UTC | View → |
| Kalshi | — | — | — | 10:35 UTC | View → |
| Kalshi | — | — | — | 15:49 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 17:30 UTC | View → |
| Kalshi | — | — | — | 21:16 UTC | View → |
| Kalshi | — | — | — | 15:18 UTC | View → |
| Kalshi | — | — | — | 10:31 UTC | View → |
| Kalshi | — | — | — | 06:37 UTC | View → |
| Kalshi | — | — | — | 15:45 UTC | View → |
| Kalshi | — | — | — | 16:33 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 13:07 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 05:50 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 05:57 UTC | View → |
| Kalshi | — | — | — | 18:27 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 13:40 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 06:38 UTC | View → |
| Kalshi | — | — | — | 06:00 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 07:21 UTC | View → |
| Kalshi | — | — | — | 09:02 UTC | View → |
| Kalshi | — | — | — | 07:09 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 18:29 UTC | View → |
| Kalshi | — | — | — | 19:08 UTC | View → |
| Kalshi | — | — | — | 13:41 UTC | View → |
| Kalshi | — | — | — | 19:53 UTC | View → |
| Kalshi | — | — | — | 08:42 UTC | View → |
| Kalshi | — | — | — | 06:54 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 07:09 UTC | View → |
| Kalshi | — | — | — | 18:06 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 06:33 UTC | View → |
| Kalshi | — | — | — | 20:06 UTC | View → |
| Kalshi | — | — | — | 08:21 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
What do these odds mean?
Cross-platform data for yes Chicago C,yes Detroit,yes Los Angeles C,no San Antonio wins by over 21.5 points,yes Scottie Scheffler 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.