yes Alperen Sengun: 15+,yes Kevin Durant: 25+,yes Tari Eason: 20+,yes Paul George: 10+
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:42 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 10:31 UTC | View → |
| Kalshi | — | — | — | 07:10 UTC | View → |
| Kalshi | — | — | — | 10:01 UTC | View → |
| Kalshi | — | — | — | 10:50 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:09 UTC | View → |
| Kalshi | — | — | — | 06:40 UTC | View → |
| Kalshi | — | — | — | 10:51 UTC | View → |
| Kalshi | — | — | — | 10:31 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 13:08 UTC | View → |
| Kalshi | — | — | — | 09:46 UTC | View → |
| Kalshi | — | — | — | 06:42 UTC | View → |
| Kalshi | — | — | — | 09:19 UTC | View → |
| Kalshi | — | — | — | 10:49 UTC | View → |
| Kalshi | — | — | — | 10:49 UTC | View → |
| Kalshi | — | — | — | 10:49 UTC | View → |
| Kalshi | — | — | — | 09:18 UTC | View → |
| Kalshi | — | — | — | 13:08 UTC | View → |
| Kalshi | — | — | — | 10:02 UTC | View → |
| Kalshi | — | — | — | 02:12 UTC | View → |
| Kalshi | — | — | — | 09:31 UTC | View → |
| Kalshi | — | — | — | 09:31 UTC | View → |
| Kalshi | — | — | — | 09:31 UTC | View → |
| Kalshi | — | — | — | 12:12 UTC | View → |
What do these odds mean?
Cross-platform data for yes Alperen Sengun: 15+,yes Kevin Durant: 25+,yes Tari Eason: 20+,yes Paul George: 10+ 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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