yes Alperen Sengun: 15+,yes Amen Thompson: 20+,yes Kevin Durant: 25+,yes Over 216.5 points scored
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 14:12 UTC | View → |
| Kalshi | — | — | — | 11:25 UTC | View → |
| Kalshi | — | — | — | 23:54 UTC | View → |
| Kalshi | — | — | — | 14:02 UTC | View → |
| Kalshi | — | — | — | 00:44 UTC | View → |
| Kalshi | — | — | — | 00:56 UTC | View → |
| Kalshi | — | — | — | 14:12 UTC | View → |
| Kalshi | — | — | — | 11:49 UTC | View → |
| Kalshi | — | — | — | 13:04 UTC | View → |
| Kalshi | — | — | — | 18:57 UTC | View → |
| Kalshi | — | — | — | 00:21 UTC | View → |
| Kalshi | — | — | — | 00:21 UTC | View → |
| Kalshi | — | — | — | 12:12 UTC | View → |
| Kalshi | — | — | — | 00:36 UTC | View → |
| Kalshi | — | — | — | 11:33 UTC | View → |
| Kalshi | — | — | — | 21:38 UTC | View → |
| Kalshi | — | — | — | 20:22 UTC | View → |
| Kalshi | — | — | — | 16:49 UTC | View → |
| Kalshi | — | — | — | 08:08 UTC | View → |
| Kalshi | — | — | — | 18:00 UTC | View → |
| Kalshi | — | — | — | 08:06 UTC | View → |
| Kalshi | — | — | — | 20:23 UTC | View → |
| Kalshi | — | — | — | 00:35 UTC | View → |
| Kalshi | — | — | — | 11:32 UTC | View → |
| Kalshi | — | — | — | 20:23 UTC | View → |
| Kalshi | — | — | — | 00:00 UTC | View → |
What do these odds mean?
Cross-platform data for yes Alperen Sengun: 15+,yes Amen Thompson: 20+,yes Kevin Durant: 25+,yes Over 216.5 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.
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