yes Jalen Brunson: 1+,yes Mikal Bridges: 1+,yes OG Anunoby: 1+,yes New York,yes Jalen Brunson: 15+,yes Over 219.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 21:42 UTC | View → |
| Kalshi | — | — | — | 23:24 UTC | View → |
| Kalshi | — | — | — | 22:46 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 20:55 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 19:38 UTC | View → |
| Kalshi | — | — | — | 20:56 UTC | View → |
| Kalshi | — | — | — | 17:18 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 12:17 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 10:41 UTC | View → |
| Kalshi | — | — | — | 22:29 UTC | View → |
| Kalshi | — | — | — | 18:23 UTC | View → |
| Kalshi | — | — | — | 13:08 UTC | View → |
| Kalshi | — | — | — | 23:30 UTC | View → |
| Kalshi | — | — | — | 19:52 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 13:14 UTC | View → |
| Kalshi | — | — | — | 22:17 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 22:14 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 19:42 UTC | View → |
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 18:17 UTC | View → |
| Kalshi | — | — | — | 15:03 UTC | View → |
| Kalshi | — | — | — | 19:23 UTC | View → |
| Kalshi | — | — | — | 19:53 UTC | View → |
| Kalshi | — | — | — | 22:26 UTC | View → |
| Kalshi | — | — | — | 23:13 UTC | View → |
| Kalshi | — | — | — | 22:17 UTC | View → |
| Kalshi | — | — | — | 18:23 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 13:08 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 23:31 UTC | View → |
| Kalshi | — | — | — | 14:53 UTC | View → |
| Kalshi | — | — | — | 16:15 UTC | View → |
| Kalshi | — | — | — | 11:55 UTC | View → |
| Kalshi | — | — | — | 12:20 UTC | View → |
| Kalshi | — | — | — | 15:35 UTC | View → |
| Kalshi | — | — | — | 23:25 UTC | View → |
| Kalshi | — | — | — | 17:39 UTC | View → |
| Kalshi | — | — | — | 17:09 UTC | View → |
| Kalshi | — | — | — | 12:14 UTC | View → |
| Kalshi | — | — | — | 23:44 UTC | View → |
| Kalshi | — | — | — | 23:44 UTC | View → |
| Kalshi | — | — | — | 21:32 UTC | View → |
| Kalshi | — | — | — | 12:00 UTC | View → |
| Kalshi | — | — | — | 20:47 UTC | View → |
| Kalshi | — | — | — | 22:59 UTC | View → |
| Kalshi | — | — | — | 23:24 UTC | View → |
| Kalshi | — | — | — | 12:08 UTC | View → |
| Kalshi | — | — | — | 12:41 UTC | View → |
| Kalshi | — | — | — | 23:05 UTC | View → |
| Kalshi | — | — | — | 13:58 UTC | View → |
| Kalshi | — | — | — | 23:28 UTC | View → |
| Kalshi | — | — | — | 13:58 UTC | View → |
| Kalshi | — | — | — | 20:05 UTC | View → |
| Kalshi | — | — | — | 21:32 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 22:13 UTC | View → |
| Kalshi | — | — | — | 12:08 UTC | View → |
| Kalshi | — | — | — | 13:50 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 19:30 UTC | View → |
| Kalshi | — | — | — | 21:32 UTC | View → |
| Kalshi | — | — | — | 15:06 UTC | View → |
| Kalshi | — | — | — | 23:46 UTC | View → |
What do these odds mean?
Cross-platform data for yes Jalen Brunson: 1+,yes Mikal Bridges: 1+,yes OG Anunoby: 1+,yes New York,yes Jalen Brunson: 15+,yes Over 219.5 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.