yes Pittsburgh,yes Cincinnati,yes Milwaukee,no Phoenix wins by over 10.5 points,yes Lilli Tagger
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:33 UTC | View → |
| Kalshi | — | — | — | 19:58 UTC | View → |
| Kalshi | — | — | — | 17:50 UTC | View → |
| Kalshi | — | — | — | 05:03 UTC | View → |
| Kalshi | — | — | — | 05:03 UTC | View → |
| Kalshi | — | — | — | 05:12 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 17:04 UTC | View → |
| Kalshi | — | — | — | 19:58 UTC | View → |
| Kalshi | — | — | — | 05:12 UTC | View → |
| Kalshi | — | — | — | 04:57 UTC | View → |
| Kalshi | — | — | — | 15:11 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 04:57 UTC | View → |
| Kalshi | — | — | — | 16:58 UTC | View → |
| Kalshi | — | — | — | 04:47 UTC | View → |
| Kalshi | — | — | — | 15:18 UTC | View → |
| Kalshi | — | — | — | 05:03 UTC | View → |
| Kalshi | — | — | — | 15:11 UTC | View → |
| Kalshi | — | — | — | 20:30 UTC | View → |
| Kalshi | — | — | — | 15:21 UTC | View → |
| Kalshi | — | — | — | 15:11 UTC | View → |
| Kalshi | — | — | — | 15:16 UTC | View → |
| Kalshi | — | — | — | 14:39 UTC | View → |
| Kalshi | — | — | — | 18:28 UTC | View → |
What do these odds mean?
Cross-platform data for yes Pittsburgh,yes Cincinnati,yes Milwaukee,no Phoenix wins by over 10.5 points,yes Lilli Tagger 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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