yes Los Angeles L,yes Deandre Ayton: 20+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:41 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 00:02 UTC | View → |
| Kalshi | — | — | — | 23:11 UTC | View → |
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 23:11 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 20:42 UTC | View → |
| Kalshi | — | — | — | 00:02 UTC | View → |
| Kalshi | — | — | — | 21:30 UTC | View → |
| Kalshi | — | — | — | 22:39 UTC | View → |
| Kalshi | — | — | — | 22:14 UTC | View → |
| Kalshi | — | — | — | 13:24 UTC | View → |
| Kalshi | — | — | — | 10:50 UTC | View → |
| Kalshi | — | — | — | 23:21 UTC | View → |
| Kalshi | — | — | — | 18:11 UTC | View → |
| Kalshi | — | — | — | 21:47 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 23:10 UTC | View → |
| Kalshi | — | — | — | 21:54 UTC | View → |
| Kalshi | — | — | — | 09:10 UTC | View → |
| Kalshi | — | — | — | 00:16 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 00:42 UTC | View → |
| Kalshi | — | — | — | 22:16 UTC | View → |
| Kalshi | — | — | — | 13:18 UTC | View → |
What do these odds mean?
Cross-platform data for yes Los Angeles L,yes Deandre Ayton: 20+ 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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