yes Chicago C,yes Miami,yes Boston,yes Denver,yes Orlando,yes Nickeil Alexander-Walker: 15+,yes Onyeka Okongwu: 10+,yes James Harden: 15+,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Miles Bridges: 10+,yes RJ Barrett: 15+,yes Jalen Johnson: 6+,yes Evan Mobley: 4+,yes LaMelo Ball: 2+,yes Miles Bridges: 2+,yes Ausar Thompson: 2+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 13:02 UTC | View → |
| Kalshi | — | — | — | 16:39 UTC | View → |
| Kalshi | — | — | — | 12:45 UTC | View → |
| Kalshi | — | — | — | 12:45 UTC | View → |
| Kalshi | — | — | — | 13:20 UTC | View → |
| Kalshi | — | — | — | 18:06 UTC | View → |
| Kalshi | — | — | — | 11:55 UTC | View → |
| Kalshi | — | — | — | 12:46 UTC | View → |
| Kalshi | — | — | — | 11:50 UTC | View → |
| Kalshi | — | — | — | 08:44 UTC | View → |
| Kalshi | — | — | — | 08:35 UTC | View → |
| Kalshi | — | — | — | 13:32 UTC | View → |
| Kalshi | — | — | — | 09:57 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 15:36 UTC | View → |
| Kalshi | — | — | — | 13:16 UTC | View → |
| Kalshi | — | — | — | 10:24 UTC | View → |
| Kalshi | — | — | — | 06:09 UTC | View → |
| Kalshi | — | — | — | 14:57 UTC | View → |
| Kalshi | — | — | — | 13:16 UTC | View → |
| Kalshi | — | — | — | 15:28 UTC | View → |
What do these odds mean?
Cross-platform data for yes Chicago C,yes Miami,yes Boston,yes Denver,yes Orlando,yes Nickeil Alexander-Walker: 15+,yes Onyeka Okongwu: 10+,yes James Harden: 15+,yes Brandon Miller: 10+,yes LaMelo Ball: 15+,yes Miles Bridges: 10+,yes RJ Barrett: 15+,yes Jalen Johnson: 6+,yes Evan Mobley: 4+,yes LaMelo Ball: 2+,yes Miles Bridges: 2+,yes Ausar Thompson: 2+ 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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