yes San Antonio,yes New York,yes James Harden: 15+,yes Deni Avdija: 20+,yes Boston wins by over 8.5 points
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:16 UTC | View → |
| Kalshi | — | — | — | 06:16 UTC | View → |
| Kalshi | — | — | — | 06:16 UTC | View → |
| Kalshi | — | — | — | 16:07 UTC | View → |
| Kalshi | — | — | — | 06:11 UTC | View → |
| Kalshi | — | — | — | 17:16 UTC | View → |
| Kalshi | — | — | — | 09:45 UTC | View → |
| Kalshi | — | — | — | 15:52 UTC | View → |
| Kalshi | — | — | — | 06:54 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 22:40 UTC | View → |
| Kalshi | — | — | — | 18:15 UTC | View → |
| Kalshi | — | — | — | 06:39 UTC | View → |
| Kalshi | — | — | — | 18:57 UTC | View → |
| Kalshi | — | — | — | 05:44 UTC | View → |
| Kalshi | — | — | — | 06:28 UTC | View → |
| Kalshi | — | — | — | 18:54 UTC | View → |
| Kalshi | — | — | — | 05:22 UTC | View → |
| Kalshi | — | — | — | 22:21 UTC | View → |
| Kalshi | — | — | — | 07:08 UTC | View → |
| Kalshi | — | — | — | 22:35 UTC | View → |
| Kalshi | — | — | — | 11:13 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
| Kalshi | — | — | — | 05:56 UTC | View → |
| Kalshi | — | — | — | 21:49 UTC | View → |
| Kalshi | — | — | — | 06:23 UTC | View → |
| Kalshi | — | — | — | 16:48 UTC | View → |
What do these odds mean?
Cross-platform data for yes San Antonio,yes New York,yes James Harden: 15+,yes Deni Avdija: 20+,yes Boston wins by over 8.5 points 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.
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