no Over 8.5 runs scored,no Over 228.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 07:38 UTC | View → |
| Kalshi | — | — | — | 05:15 UTC | View → |
| Kalshi | — | — | — | 10:04 UTC | View → |
| Kalshi | — | — | — | 07:02 UTC | View → |
| Kalshi | — | — | — | 07:02 UTC | View → |
| Kalshi | — | — | — | 05:15 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 08:34 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 05:04 UTC | View → |
| Kalshi | — | — | — | 02:23 UTC | View → |
| Kalshi | — | — | — | 07:38 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 08:53 UTC | View → |
| Kalshi | — | — | — | 07:38 UTC | View → |
| Kalshi | — | — | — | 05:04 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 09:06 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 07:02 UTC | View → |
| Kalshi | — | — | — | 07:38 UTC | View → |
| Kalshi | — | — | — | 08:49 UTC | View → |
| Kalshi | — | — | — | 08:48 UTC | View → |
| Kalshi | — | — | — | 06:29 UTC | View → |
| Kalshi | — | — | — | 04:39 UTC | View → |
| Kalshi | — | — | — | 02:14 UTC | View → |
| Kalshi | — | — | — | 02:14 UTC | View → |
| Kalshi | — | — | — | 02:15 UTC | View → |
| Kalshi | — | — | — | 02:17 UTC | View → |
| Kalshi | — | — | — | 02:17 UTC | View → |
| Kalshi | — | — | — | 06:58 UTC | View → |
| Kalshi | — | — | — | 07:29 UTC | View → |
| Kalshi | — | — | — | 05:02 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 09:13 UTC | View → |
| Kalshi | — | — | — | 07:49 UTC | View → |
| Kalshi | — | — | — | 06:58 UTC | View → |
| Kalshi | — | — | — | 02:14 UTC | View → |
| Kalshi | — | — | — | 06:03 UTC | View → |
| Kalshi | — | — | — | 10:04 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 09:12 UTC | View → |
| Kalshi | — | — | — | 05:33 UTC | View → |
| Kalshi | — | — | — | 06:30 UTC | View → |
| Kalshi | — | — | — | 06:58 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 08:23 UTC | View → |
| Kalshi | — | — | — | 02:22 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
| Kalshi | — | — | — | 06:01 UTC | View → |
What do these odds mean?
Cross-platform data for no Over 8.5 runs scored,no Over 228.5 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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.