yes Felix Auger-Aliassime,yes Joao Fonseca,yes San Diego,yes Fernando Tatis Jr.: 2+,yes Manny Machado: 1+,yes Golden State
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 11:52 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 12:18 UTC | View → |
| Kalshi | — | — | — | 12:21 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 10:44 UTC | View → |
| Kalshi | — | — | — | 07:42 UTC | View → |
| Kalshi | — | — | — | 08:42 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 11:59 UTC | View → |
| Kalshi | — | — | — | 11:40 UTC | View → |
| Kalshi | — | — | — | 06:47 UTC | View → |
| Kalshi | — | — | — | 12:27 UTC | View → |
| Kalshi | — | — | — | 12:19 UTC | View → |
| Kalshi | — | — | — | 05:35 UTC | View → |
| Kalshi | — | — | — | 13:32 UTC | View → |
| Kalshi | — | — | — | 10:56 UTC | View → |
| Kalshi | — | — | — | 11:01 UTC | View → |
| Kalshi | — | — | — | 07:42 UTC | View → |
| Kalshi | — | — | — | 11:02 UTC | View → |
| Kalshi | — | — | — | 07:11 UTC | View → |
| Kalshi | — | — | — | 10:36 UTC | View → |
| Kalshi | — | — | — | 10:57 UTC | View → |
| Kalshi | — | — | — | 11:02 UTC | View → |
What do these odds mean?
Cross-platform data for yes Felix Auger-Aliassime,yes Joao Fonseca,yes San Diego,yes Fernando Tatis Jr.: 2+,yes Manny Machado: 1+,yes Golden State 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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