yes Stephen Curry: 20+,yes Over 234.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 01:19 UTC | View → |
| Kalshi | — | — | — | 10:23 UTC | View → |
| Kalshi | — | — | — | 02:26 UTC | View → |
| Kalshi | — | — | — | 01:25 UTC | View → |
| Kalshi | — | — | — | 01:43 UTC | View → |
| Kalshi | — | — | — | 02:10 UTC | View → |
| Kalshi | — | — | — | 23:29 UTC | View → |
| Kalshi | — | — | — | 01:49 UTC | View → |
| Kalshi | — | — | — | 01:52 UTC | View → |
| Kalshi | — | — | — | 19:54 UTC | View → |
| Kalshi | — | — | — | 02:41 UTC | View → |
| Kalshi | — | — | — | 02:07 UTC | View → |
| Kalshi | — | — | — | 01:47 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 02:07 UTC | View → |
| Kalshi | — | — | — | 02:28 UTC | View → |
| Kalshi | — | — | — | 01:44 UTC | View → |
| Kalshi | — | — | — | 21:15 UTC | View → |
| Kalshi | — | — | — | 01:43 UTC | View → |
| Kalshi | — | — | — | 01:22 UTC | View → |
| Kalshi | — | — | — | 23:52 UTC | View → |
| Kalshi | — | — | — | 23:35 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 01:49 UTC | View → |
| Kalshi | — | — | — | 19:21 UTC | View → |
| Kalshi | — | — | — | 19:45 UTC | View → |
| Kalshi | — | — | — | 01:54 UTC | View → |
| Kalshi | — | — | — | 02:10 UTC | View → |
| Kalshi | — | — | — | 02:03 UTC | View → |
| Kalshi | — | — | — | 21:55 UTC | View → |
| Kalshi | — | — | — | 02:40 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 01:40 UTC | View → |
| Kalshi | — | — | — | 02:40 UTC | View → |
| Kalshi | — | — | — | 01:36 UTC | View → |
| Kalshi | — | — | — | 01:43 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 01:18 UTC | View → |
| Kalshi | — | — | — | 02:05 UTC | View → |
| Kalshi | — | — | — | 00:58 UTC | View → |
| Kalshi | — | — | — | 01:47 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 02:09 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 01:47 UTC | View → |
| Kalshi | — | — | — | 02:39 UTC | View → |
| Kalshi | — | — | — | 01:24 UTC | View → |
| Kalshi | — | — | — | 23:17 UTC | View → |
| Kalshi | — | — | — | 21:12 UTC | View → |
| Kalshi | — | — | — | 21:04 UTC | View → |
| Kalshi | — | — | — | 19:19 UTC | View → |
| Kalshi | — | — | — | 01:27 UTC | View → |
| Kalshi | — | — | — | 02:41 UTC | View → |
| Kalshi | — | — | — | 02:16 UTC | View → |
| Kalshi | — | — | — | 19:12 UTC | View → |
| Kalshi | — | — | — | 22:47 UTC | View → |
| Kalshi | — | — | — | 02:33 UTC | View → |
What do these odds mean?
Cross-platform data for yes Stephen Curry: 20+,yes Over 234.5 points scored 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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