yes Tie,yes Tie,yes Tie,yes Tie,yes Tie,yes Tie
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 20:00 UTC | View → |
| Kalshi | — | — | — | 00:46 UTC | View → |
| Kalshi | — | — | — | 00:46 UTC | View → |
| Kalshi | — | — | — | 05:34 UTC | View → |
| Kalshi | — | — | — | 00:41 UTC | View → |
| Kalshi | — | — | — | 08:02 UTC | View → |
| Kalshi | — | — | — | 10:17 UTC | View → |
| Kalshi | — | — | — | 07:57 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 10:14 UTC | View → |
| Kalshi | — | — | — | 13:00 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 20:44 UTC | View → |
| Kalshi | — | — | — | 08:01 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 20:48 UTC | View → |
| Kalshi | — | — | — | 12:36 UTC | View → |
| Kalshi | — | — | — | 20:16 UTC | View → |
| Kalshi | — | — | — | 17:48 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 20:40 UTC | View → |
| Kalshi | — | — | — | 13:00 UTC | View → |
| Kalshi | — | — | — | 14:53 UTC | View → |
| Kalshi | — | — | — | 05:37 UTC | View → |
| Kalshi | — | — | — | 01:04 UTC | View → |
| Kalshi | — | — | — | 20:43 UTC | View → |
| Kalshi | — | — | — | 23:59 UTC | View → |
| Kalshi | — | — | — | 18:42 UTC | View → |
| Kalshi | — | — | — | 19:07 UTC | View → |
| Kalshi | — | — | — | 05:56 UTC | View → |
| Kalshi | — | — | — | 18:30 UTC | View → |
| Kalshi | — | — | — | 07:47 UTC | View → |
| Kalshi | — | — | — | 14:34 UTC | View → |
| Kalshi | — | — | — | 18:32 UTC | View → |
| Kalshi | — | — | — | 20:09 UTC | View → |
| Kalshi | — | — | — | 20:15 UTC | View → |
| Kalshi | — | — | — | 08:33 UTC | View → |
| Kalshi | — | — | — | 04:23 UTC | View → |
| Kalshi | — | — | — | 20:06 UTC | View → |
| Kalshi | — | — | — | 19:49 UTC | View → |
| Kalshi | — | — | — | 19:26 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 17:31 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 12:49 UTC | View → |
| Kalshi | — | — | — | 20:28 UTC | View → |
| Kalshi | — | — | — | 14:12 UTC | View → |
| Kalshi | — | — | — | 20:08 UTC | View → |
| Kalshi | — | — | — | 22:06 UTC | View → |
| Kalshi | — | — | — | 21:26 UTC | View → |
| Kalshi | — | — | — | 20:24 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 16:31 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 19:24 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 18:24 UTC | View → |
| Kalshi | — | — | — | 05:06 UTC | View → |
| Kalshi | — | — | — | 00:22 UTC | View → |
| Kalshi | — | — | — | 07:41 UTC | View → |
| Kalshi | — | — | — | 10:33 UTC | View → |
| Kalshi | — | — | — | 05:23 UTC | View → |
| Kalshi | — | — | — | 07:56 UTC | View → |
| Kalshi | — | — | — | 19:32 UTC | View → |
| Kalshi | — | — | — | 13:47 UTC | View → |
| Kalshi | — | — | — | 05:03 UTC | View → |
| Kalshi | — | — | — | 05:06 UTC | View → |
| Kalshi | — | — | — | 15:10 UTC | View → |
| Kalshi | — | — | — | 12:49 UTC | View → |
What do these odds mean?
Cross-platform data for yes Tie,yes Tie,yes Tie,yes Tie,yes Tie,yes Tie 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
Your edge calculator
Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.