yes Oklahoma City,no Over 236.5 points scored,yes Over 221.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 15:31 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 20:53 UTC | View → |
| Kalshi | — | — | — | 00:03 UTC | View → |
| Kalshi | — | — | — | 07:52 UTC | View → |
| Kalshi | — | — | — | 07:44 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 21:29 UTC | View → |
| Kalshi | — | — | — | 07:53 UTC | View → |
| Kalshi | — | — | — | 04:55 UTC | View → |
| Kalshi | — | — | — | 07:51 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 15:02 UTC | View → |
| Kalshi | — | — | — | 12:48 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 21:21 UTC | View → |
| Kalshi | — | — | — | 11:00 UTC | View → |
| Kalshi | — | — | — | 11:09 UTC | View → |
| Kalshi | — | — | — | 12:37 UTC | View → |
| Kalshi | — | — | — | 00:44 UTC | View → |
| Kalshi | — | — | — | 19:50 UTC | View → |
| Kalshi | — | — | — | 19:50 UTC | View → |
| Kalshi | — | — | — | 05:11 UTC | View → |
| Kalshi | — | — | — | 00:59 UTC | View → |
| Kalshi | — | — | — | 05:01 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 12:59 UTC | View → |
| Kalshi | — | — | — | 22:33 UTC | View → |
| Kalshi | — | — | — | 17:29 UTC | View → |
| Kalshi | — | — | — | 15:44 UTC | View → |
| Kalshi | — | — | — | 08:42 UTC | View → |
| Kalshi | — | — | — | 17:03 UTC | View → |
| Kalshi | — | — | — | 17:07 UTC | View → |
What do these odds mean?
Cross-platform data for yes Oklahoma City,no Over 236.5 points scored,yes Over 221.5 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.
News & context
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