yes Kawhi Leonard: 1+,yes LeBron James: 2+,yes Brook Lopez: 10+,yes Bennedict Mathurin: 10+,yes Darius Garland: 15+,yes Derrick Jones Jr.: 10+,yes Kawhi Leonard: 25+,yes Amen Thompson: 15+,yes Jabari Smith Jr.: 10+,yes Kevin Durant: 20+,yes Christian Braun: 10+,yes Cameron Johnson: 10+,yes Deandre Ayton: 10+,yes LeBron James: 15+,yes Dillon Brooks: 10+,yes Mark Williams: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 10:43 UTC | View → |
| Kalshi | — | — | — | 23:54 UTC | View → |
| Kalshi | — | — | — | 20:04 UTC | View → |
| Kalshi | — | — | — | 01:44 UTC | View → |
| Kalshi | — | — | — | 01:46 UTC | View → |
| Kalshi | — | — | — | 20:59 UTC | View → |
| Kalshi | — | — | — | 01:42 UTC | View → |
| Kalshi | — | — | — | 19:50 UTC | View → |
| Kalshi | — | — | — | 14:24 UTC | View → |
| Kalshi | — | — | — | 16:46 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 00:27 UTC | View → |
| Kalshi | — | — | — | 23:47 UTC | View → |
| Kalshi | — | — | — | 00:25 UTC | View → |
| Kalshi | — | — | — | 02:41 UTC | View → |
| Kalshi | — | — | — | 22:43 UTC | View → |
| Kalshi | — | — | — | 00:23 UTC | View → |
| Kalshi | — | — | — | 01:28 UTC | View → |
| Kalshi | — | — | — | 00:22 UTC | View → |
| Kalshi | — | — | — | 23:16 UTC | View → |
| Kalshi | — | — | — | 00:03 UTC | View → |
| Kalshi | — | — | — | 15:45 UTC | View → |
| Kalshi | — | — | — | 19:50 UTC | View → |
| Kalshi | — | — | — | 14:18 UTC | View → |
| Kalshi | — | — | — | 13:19 UTC | View → |
What do these odds mean?
Cross-platform data for yes Kawhi Leonard: 1+,yes LeBron James: 2+,yes Brook Lopez: 10+,yes Bennedict Mathurin: 10+,yes Darius Garland: 15+,yes Derrick Jones Jr.: 10+,yes Kawhi Leonard: 25+,yes Amen Thompson: 15+,yes Jabari Smith Jr.: 10+,yes Kevin Durant: 20+,yes Christian Braun: 10+,yes Cameron Johnson: 10+,yes Deandre Ayton: 10+,yes LeBron James: 15+,yes Dillon Brooks: 10+,yes Mark Williams: 10+ 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.