yes Carlos Alcaraz,yes Jannik Sinner,yes $72,100 or above,yes Randy Vásquez: 3+,yes Houston,yes Los Angeles C,yes LeBron James: 15+,yes Tyrese Maxey: 20+,yes VJ Edgecombe: 15+,yes Draymond Green: 2+,yes Deandre Ayton: 4+,yes VJ Edgecombe: 1+,yes CAR Hurricanes,yes COL Avalanche,yes UTA Mammoth,yes ANA Ducks,yes WPG Jets,yes DAL Stars,yes SJ Sharks,yes Arsenal
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 11:48 UTC | View → |
| Kalshi | — | — | — | 14:38 UTC | View → |
| Kalshi | — | — | — | 05:34 UTC | View → |
| Kalshi | — | — | — | 04:54 UTC | View → |
| Kalshi | — | — | — | 04:49 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 11:51 UTC | View → |
| Kalshi | — | — | — | 05:34 UTC | View → |
| Kalshi | — | — | — | 02:20 UTC | View → |
| Kalshi | — | — | — | 11:47 UTC | View → |
| Kalshi | — | — | — | 11:48 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
What do these odds mean?
Cross-platform data for yes Carlos Alcaraz,yes Jannik Sinner,yes $72,100 or above,yes Randy Vásquez: 3+,yes Houston,yes Los Angeles C,yes LeBron James: 15+,yes Tyrese Maxey: 20+,yes VJ Edgecombe: 15+,yes Draymond Green: 2+,yes Deandre Ayton: 4+,yes VJ Edgecombe: 1+,yes CAR Hurricanes,yes COL Avalanche,yes UTA Mammoth,yes ANA Ducks,yes WPG Jets,yes DAL Stars,yes SJ Sharks,yes Arsenal 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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