yes RJ Barrett: 2+,yes Scottie Barnes: 4+,yes New York,yes Immanuel Quickley: 10+,yes Jakob Poeltl: 10+,yes Scottie Barnes: 10+,yes Immanuel Quickley: 4+,yes Jakob Poeltl: 6+,yes RJ Barrett: 4+,yes Scottie Barnes: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:07 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 07:43 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 06:04 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
| Kalshi | — | — | — | 14:35 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 23:00 UTC | View → |
| Kalshi | — | — | — | 05:22 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 05:30 UTC | View → |
| Kalshi | — | — | — | 05:22 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 17:29 UTC | View → |
| Kalshi | — | — | — | 22:42 UTC | View → |
| Kalshi | — | — | — | 22:42 UTC | View → |
| Kalshi | — | — | — | 19:43 UTC | View → |
| Kalshi | — | — | — | 17:08 UTC | View → |
| Kalshi | — | — | — | 18:16 UTC | View → |
| Kalshi | — | — | — | 17:17 UTC | View → |
| Kalshi | — | — | — | 19:27 UTC | View → |
| Kalshi | — | — | — | 22:44 UTC | View → |
| Kalshi | — | — | — | 08:00 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 05:53 UTC | View → |
| Kalshi | — | — | — | 22:43 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 23:39 UTC | View → |
What do these odds mean?
Cross-platform data for yes RJ Barrett: 2+,yes Scottie Barnes: 4+,yes New York,yes Immanuel Quickley: 10+,yes Jakob Poeltl: 10+,yes Scottie Barnes: 10+,yes Immanuel Quickley: 4+,yes Jakob Poeltl: 6+,yes RJ Barrett: 4+,yes Scottie Barnes: 4+ 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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