yes Milwaukee,yes San Diego,no A's wins by over 2.5 runs,no Tampa Bay wins by over 2.5 runs,no Cleveland wins by over 2.5 runs,yes Nickeil Alexander-Walker: 15+,yes James Harden: 15+,yes Brandon Miller: 10+,yes Miles Bridges: 10+,yes Darius Garland: 15+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Toumani Camara: 10+,yes Jabari Smith Jr.: 10+,yes Jalen Brunson: 15+,yes Karl-Anthony Towns: 10+,yes OG Anunoby: 10+,yes RJ Barrett: 15+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:17 UTC | View → |
| Kalshi | — | — | — | 08:38 UTC | View → |
| Kalshi | — | — | — | 20:36 UTC | View → |
| Kalshi | — | — | — | 20:36 UTC | View → |
| Kalshi | — | — | — | 08:39 UTC | View → |
| Kalshi | — | — | — | 17:31 UTC | View → |
| Kalshi | — | — | — | 17:55 UTC | View → |
| Kalshi | — | — | — | 16:44 UTC | View → |
| Kalshi | — | — | — | 01:54 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 09:07 UTC | View → |
| Kalshi | — | — | — | 01:45 UTC | View → |
| Kalshi | — | — | — | 23:10 UTC | View → |
| Kalshi | — | — | — | 00:19 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 01:36 UTC | View → |
| Kalshi | — | — | — | 00:39 UTC | View → |
| Kalshi | — | — | — | 01:58 UTC | View → |
What do these odds mean?
Cross-platform data for yes Milwaukee,yes San Diego,no A's wins by over 2.5 runs,no Tampa Bay wins by over 2.5 runs,no Cleveland wins by over 2.5 runs,yes Nickeil Alexander-Walker: 15+,yes James Harden: 15+,yes Brandon Miller: 10+,yes Miles Bridges: 10+,yes Darius Garland: 15+,yes Kawhi Leonard: 25+,yes Deni Avdija: 20+,yes Toumani Camara: 10+,yes Jabari Smith Jr.: 10+,yes Jalen Brunson: 15+,yes Karl-Anthony Towns: 10+,yes OG Anunoby: 10+,yes RJ Barrett: 15+ 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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