yes Golden State,yes Portland wins by over 2.5 points,yes Over 219.5 points scored,yes Over 225.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:20 UTC | View → |
| Kalshi | — | — | — | 05:36 UTC | View → |
| Kalshi | — | — | — | 23:17 UTC | View → |
| Kalshi | — | — | — | 21:01 UTC | View → |
| Kalshi | — | — | — | 07:24 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 06:23 UTC | View → |
| Kalshi | — | — | — | 06:22 UTC | View → |
| Kalshi | — | — | — | 06:21 UTC | View → |
| Kalshi | — | — | — | 17:32 UTC | View → |
| Kalshi | — | — | — | 11:02 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 08:49 UTC | View → |
| Kalshi | — | — | — | 10:52 UTC | View → |
| Kalshi | — | — | — | 18:11 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 23:56 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 02:21 UTC | View → |
| Kalshi | — | — | — | 00:44 UTC | View → |
| Kalshi | — | — | — | 04:36 UTC | View → |
| Kalshi | — | — | — | 14:31 UTC | View → |
| Kalshi | — | — | — | 14:30 UTC | View → |
What do these odds mean?
Cross-platform data for yes Golden State,yes Portland wins by over 2.5 points,yes Over 219.5 points scored,yes Over 225.5 points 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.
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