yes Stephen Curry: 4+,yes Kristaps Porziņģis: 20+,yes Stephen Curry: 30+,yes Bennedict Mathurin: 15+,yes Darius Garland: 20+,yes Derrick Jones Jr.: 10+,yes Kawhi Leonard: 25+,yes Draymond Green: 4+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 02:33 UTC | View → |
| Kalshi | — | — | — | 02:25 UTC | View → |
| Kalshi | — | — | — | 02:08 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 02:09 UTC | View → |
| Kalshi | — | — | — | 02:25 UTC | View → |
| Kalshi | — | — | — | 02:05 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:01 UTC | View → |
| Kalshi | — | — | — | 02:01 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 02:32 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 02:07 UTC | View → |
| Kalshi | — | — | — | 01:44 UTC | View → |
| Kalshi | — | — | — | 01:57 UTC | View → |
| Kalshi | — | — | — | 01:51 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 02:26 UTC | View → |
| Kalshi | — | — | — | 02:09 UTC | View → |
| Kalshi | — | — | — | 02:26 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 02:25 UTC | View → |
| Kalshi | — | — | — | 02:33 UTC | View → |
| Kalshi | — | — | — | 01:55 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:16 UTC | View → |
| Kalshi | — | — | — | 02:25 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 01:44 UTC | View → |
| Kalshi | — | — | — | 01:55 UTC | View → |
| Kalshi | — | — | — | 01:55 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 02:03 UTC | View → |
| Kalshi | — | — | — | 02:26 UTC | View → |
| Kalshi | — | — | — | 02:28 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 02:09 UTC | View → |
| Kalshi | — | — | — | 02:04 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 02:06 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 01:46 UTC | View → |
| Kalshi | — | — | — | 02:16 UTC | View → |
| Kalshi | — | — | — | 02:32 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 01:56 UTC | View → |
| Kalshi | — | — | — | 02:01 UTC | View → |
| Kalshi | — | — | — | 02:04 UTC | View → |
| Kalshi | — | — | — | 01:50 UTC | View → |
| Kalshi | — | — | — | 02:24 UTC | View → |
| Kalshi | — | — | — | 02:13 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 02:30 UTC | View → |
| Kalshi | — | — | — | 01:54 UTC | View → |
| Kalshi | — | — | — | 02:43 UTC | View → |
| Kalshi | — | — | — | 01:44 UTC | View → |
| Kalshi | — | — | — | 02:36 UTC | View → |
| Kalshi | — | — | — | 02:33 UTC | View → |
| Kalshi | — | — | — | 01:56 UTC | View → |
| Kalshi | — | — | — | 01:50 UTC | View → |
| Kalshi | — | — | — | 02:00 UTC | View → |
| Kalshi | — | — | — | 02:33 UTC | View → |
| Kalshi | — | — | — | 02:26 UTC | View → |
| Kalshi | — | — | — | 01:53 UTC | View → |
| Kalshi | — | — | — | 02:44 UTC | View → |
| Kalshi | — | — | — | 02:44 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
| Kalshi | — | — | — | 01:55 UTC | View → |
| Kalshi | — | — | — | 01:48 UTC | View → |
What do these odds mean?
Cross-platform data for yes Stephen Curry: 4+,yes Kristaps Porziņģis: 20+,yes Stephen Curry: 30+,yes Bennedict Mathurin: 15+,yes Darius Garland: 20+,yes Derrick Jones Jr.: 10+,yes Kawhi Leonard: 25+,yes Draymond Green: 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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.