yes Miami,yes Minnesota,no Over 8.5 runs scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 07:17 UTC | View → |
| Kalshi | — | — | — | 14:56 UTC | View → |
| Kalshi | — | — | — | 04:28 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 19:48 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 09:05 UTC | View → |
| Kalshi | — | — | — | 16:18 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 15:32 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 13:53 UTC | View → |
| Kalshi | — | — | — | 19:17 UTC | View → |
| Kalshi | — | — | — | 06:11 UTC | View → |
| Kalshi | — | — | — | 11:28 UTC | View → |
| Kalshi | — | — | — | 23:02 UTC | View → |
| Kalshi | — | — | — | 04:36 UTC | View → |
| Kalshi | — | — | — | 15:50 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 21:41 UTC | View → |
| Kalshi | — | — | — | 09:17 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 12:31 UTC | View → |
| Kalshi | — | — | — | 08:58 UTC | View → |
| Kalshi | — | — | — | 06:12 UTC | View → |
| Kalshi | — | — | — | 21:56 UTC | View → |
| Kalshi | — | — | — | 09:14 UTC | View → |
| Kalshi | — | — | — | 09:14 UTC | View → |
| Kalshi | — | — | — | 13:52 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 17:32 UTC | View → |
| Kalshi | — | — | — | 09:11 UTC | View → |
| Kalshi | — | — | — | 15:48 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 13:52 UTC | View → |
| Kalshi | — | — | — | 04:30 UTC | View → |
| Kalshi | — | — | — | 18:21 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 06:49 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 08:57 UTC | View → |
| Kalshi | — | — | — | 05:13 UTC | View → |
| Kalshi | — | — | — | 15:51 UTC | View → |
| Kalshi | — | — | — | 12:29 UTC | View → |
| Kalshi | — | — | — | 14:00 UTC | View → |
| Kalshi | — | — | — | 19:41 UTC | View → |
| Kalshi | — | — | — | 09:16 UTC | View → |
| Kalshi | — | — | — | 11:27 UTC | View → |
| Kalshi | — | — | — | 19:16 UTC | View → |
| Kalshi | — | — | — | 06:10 UTC | View → |
| Kalshi | — | — | — | 17:36 UTC | View → |
What do these odds mean?
Cross-platform data for yes Miami,yes Minnesota,no Over 8.5 runs scored 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
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