yes Duncan Robinson: 2+,yes Darius Garland: 2+,yes San Antonio,yes Golden State,yes Los Angeles C,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes Phoenix,yes New York,yes Duncan Robinson: 10+,yes John Collins: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 18:25 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 22:38 UTC | View → |
| Kalshi | — | — | — | 18:32 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 18:03 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
| Kalshi | — | — | — | 17:02 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 17:05 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
| Kalshi | — | — | — | 22:01 UTC | View → |
| Kalshi | — | — | — | 00:06 UTC | View → |
| Kalshi | — | — | — | 15:03 UTC | View → |
| Kalshi | — | — | — | 19:05 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 10:07 UTC | View → |
| Kalshi | — | — | — | 15:27 UTC | View → |
| Kalshi | — | — | — | 14:57 UTC | View → |
| Kalshi | — | — | — | 14:57 UTC | View → |
| Kalshi | — | — | — | 14:58 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 19:44 UTC | View → |
| Kalshi | — | — | — | 14:54 UTC | View → |
| Kalshi | — | — | — | 14:52 UTC | View → |
| Kalshi | — | — | — | 15:15 UTC | View → |
| Kalshi | — | — | — | 15:16 UTC | View → |
| Kalshi | — | — | — | 15:43 UTC | View → |
| Kalshi | — | — | — | 15:31 UTC | View → |
What do these odds mean?
Cross-platform data for yes Duncan Robinson: 2+,yes Darius Garland: 2+,yes San Antonio,yes Golden State,yes Los Angeles C,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes Phoenix,yes New York,yes Duncan Robinson: 10+,yes John Collins: 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.