yes Jaylen Brown: 1+,yes Payton Pritchard: 3+,yes Jaylen Brown: 6+,yes Jaylen Brown: 30+,yes Jaylen Brown: 6+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 23:26 UTC | View → |
| Kalshi | — | — | — | 23:22 UTC | View → |
| Kalshi | — | — | — | 23:18 UTC | View → |
| Kalshi | — | — | — | 23:36 UTC | View → |
| Kalshi | — | — | — | 00:32 UTC | View → |
| Kalshi | — | — | — | 23:31 UTC | View → |
| Kalshi | — | — | — | 00:24 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 23:33 UTC | View → |
| Kalshi | — | — | — | 23:58 UTC | View → |
| Kalshi | — | — | — | 23:35 UTC | View → |
| Kalshi | — | — | — | 23:19 UTC | View → |
| Kalshi | — | — | — | 23:41 UTC | View → |
| Kalshi | — | — | — | 23:33 UTC | View → |
| Kalshi | — | — | — | 23:51 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 23:42 UTC | View → |
| Kalshi | — | — | — | 00:12 UTC | View → |
| Kalshi | — | — | — | 23:33 UTC | View → |
| Kalshi | — | — | — | 00:44 UTC | View → |
| Kalshi | — | — | — | 23:16 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:26 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 00:43 UTC | View → |
| Kalshi | — | — | — | 23:23 UTC | View → |
| Kalshi | — | — | — | 23:34 UTC | View → |
| Kalshi | — | — | — | 00:43 UTC | View → |
| Kalshi | — | — | — | 23:22 UTC | View → |
| Kalshi | — | — | — | 23:38 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:16 UTC | View → |
| Kalshi | — | — | — | 23:15 UTC | View → |
| Kalshi | — | — | — | 00:16 UTC | View → |
| Kalshi | — | — | — | 00:16 UTC | View → |
| Kalshi | — | — | — | 23:41 UTC | View → |
| Kalshi | — | — | — | 00:01 UTC | View → |
| Kalshi | — | — | — | 23:24 UTC | View → |
| Kalshi | — | — | — | 23:40 UTC | View → |
| Kalshi | — | — | — | 23:10 UTC | View → |
| Kalshi | — | — | — | 00:05 UTC | View → |
| Kalshi | — | — | — | 23:22 UTC | View → |
| Kalshi | — | — | — | 23:11 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 23:20 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 00:16 UTC | View → |
| Kalshi | — | — | — | 23:30 UTC | View → |
| Kalshi | — | — | — | 23:24 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 23:18 UTC | View → |
| Kalshi | — | — | — | 23:18 UTC | View → |
| Kalshi | — | — | — | 23:41 UTC | View → |
| Kalshi | — | — | — | 23:24 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 00:14 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:16 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 23:19 UTC | View → |
| Kalshi | — | — | — | 23:19 UTC | View → |
| Kalshi | — | — | — | 23:32 UTC | View → |
| Kalshi | — | — | — | 23:15 UTC | View → |
| Kalshi | — | — | — | 23:32 UTC | View → |
What do these odds mean?
Cross-platform data for yes Jaylen Brown: 1+,yes Payton Pritchard: 3+,yes Jaylen Brown: 6+,yes Jaylen Brown: 30+,yes Jaylen Brown: 6+ 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.