no Arizona wins by over 3.5 runs,yes Over 1.5 runs scored,yes James Harden: 1+,yes Darius Garland: 1+,yes Tyrese Maxey: 1+,yes OG Anunoby: 1+,yes Miami
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 00:18 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 12:28 UTC | View → |
| Kalshi | — | — | — | 23:37 UTC | View → |
| Kalshi | — | — | — | 22:13 UTC | View → |
| Kalshi | — | — | — | 00:55 UTC | View → |
| Kalshi | — | — | — | 00:57 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 22:36 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 16:22 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 21:18 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 00:31 UTC | View → |
| Kalshi | — | — | — | 16:27 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 22:30 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 22:04 UTC | View → |
| Kalshi | — | — | — | 08:55 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 22:57 UTC | View → |
| Kalshi | — | — | — | 14:49 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 08:03 UTC | View → |
| Kalshi | — | — | — | 23:08 UTC | View → |
| Kalshi | — | — | — | 08:33 UTC | View → |
| Kalshi | — | — | — | 08:01 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 01:00 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 09:07 UTC | View → |
| Kalshi | — | — | — | 08:34 UTC | View → |
| Kalshi | — | — | — | 23:01 UTC | View → |
| Kalshi | — | — | — | 16:40 UTC | View → |
| Kalshi | — | — | — | 21:10 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 00:14 UTC | View → |
| Kalshi | — | — | — | 21:50 UTC | View → |
| Kalshi | — | — | — | 19:51 UTC | View → |
| Kalshi | — | — | — | 09:05 UTC | View → |
| Kalshi | — | — | — | 00:29 UTC | View → |
| Kalshi | — | — | — | 01:05 UTC | View → |
| Kalshi | — | — | — | 08:17 UTC | View → |
| Kalshi | — | — | — | 00:40 UTC | View → |
| Kalshi | — | — | — | 22:48 UTC | View → |
| Kalshi | — | — | — | 00:42 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 08:32 UTC | View → |
| Kalshi | — | — | — | 08:20 UTC | View → |
| Kalshi | — | — | — | 18:22 UTC | View → |
| Kalshi | — | — | — | 08:01 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 16:41 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 22:47 UTC | View → |
| Kalshi | — | — | — | 07:32 UTC | View → |
| Kalshi | — | — | — | 00:55 UTC | View → |
| Kalshi | — | — | — | 14:48 UTC | View → |
What do these odds mean?
Cross-platform data for no Arizona wins by over 3.5 runs,yes Over 1.5 runs scored,yes James Harden: 1+,yes Darius Garland: 1+,yes Tyrese Maxey: 1+,yes OG Anunoby: 1+,yes Miami 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.