yes Kyle Tucker: 1+,yes Shohei Ohtani: 3+

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-16
Platform Yes No Volume Last seen Link
Kalshi 10:53 UTC View →
Kalshi 10:53 UTC View →
Kalshi 10:53 UTC View →
Kalshi 10:53 UTC View →
Kalshi 10:53 UTC View →
Kalshi 13:50 UTC View →
Kalshi 00:18 UTC View →
Kalshi 22:13 UTC View →
Kalshi 08:59 UTC View →
Kalshi 14:05 UTC View →
Kalshi 08:05 UTC View →
Kalshi 06:58 UTC View →
Kalshi 19:45 UTC View →
Kalshi 23:25 UTC View →
Kalshi 06:23 UTC View →
Kalshi 22:11 UTC View →
Kalshi 23:25 UTC View →
Kalshi 01:45 UTC View →
Kalshi 00:48 UTC View →
Kalshi 16:10 UTC View →
Kalshi 16:33 UTC View →
Kalshi 23:25 UTC View →
Kalshi 10:22 UTC View →
Kalshi 06:20 UTC View →
Kalshi 06:20 UTC View →
Kalshi 20:16 UTC View →
Kalshi 13:50 UTC View →
Kalshi 22:01 UTC View →
Kalshi 23:25 UTC View →
Kalshi 13:50 UTC View →
Kalshi 08:05 UTC View →
Kalshi 21:22 UTC View →
Kalshi 20:18 UTC View →
Kalshi 01:45 UTC View →
Kalshi 14:56 UTC View →
Kalshi 05:47 UTC View →
Kalshi 05:55 UTC View →
Kalshi 10:14 UTC View →
Kalshi 23:25 UTC View →
Kalshi 23:24 UTC View →
Kalshi 09:20 UTC View →
Kalshi 12:31 UTC View →
Kalshi 20:33 UTC View →
Kalshi 14:17 UTC View →
Kalshi 01:45 UTC View →
Kalshi 01:45 UTC View →
Kalshi 07:27 UTC View →
No history yet — first few snapshots pending.
Probability history, most recent 30 days

What do these odds mean?

Cross-platform data for yes Kyle Tucker: 1+,yes Shohei Ohtani: 3+ 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.

Last updated: 2026-04-14 01:45:27 UTC · Download JSON

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