yes Oneil Cruz: 1+,yes Shota Imanaga: 3+,yes Carmen Mlodzinski: 2+,yes Pittsburgh wins by over 1.5 runs

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-13
Platform Yes No Volume Last seen Link
Kalshi 10:32 UTC View →
Kalshi 12:24 UTC View →
Kalshi 09:56 UTC View →
Kalshi 16:38 UTC View →
Kalshi 12:22 UTC View →
Kalshi 16:38 UTC View →
Kalshi 09:51 UTC View →
Kalshi 09:52 UTC View →
Kalshi 13:59 UTC View →
Kalshi 15:46 UTC View →
Kalshi 16:41 UTC View →
Kalshi 15:30 UTC View →
Kalshi 13:59 UTC View →
Kalshi 16:40 UTC View →
Kalshi 13:54 UTC View →
Kalshi 17:04 UTC View →
Kalshi 09:55 UTC View →
Kalshi 12:22 UTC View →
Kalshi 09:56 UTC View →
Kalshi 15:57 UTC View →
Kalshi 13:27 UTC View →
Kalshi 11:53 UTC View →
Kalshi 13:19 UTC View →
Kalshi 18:15 UTC View →
Kalshi 15:29 UTC View →
Kalshi 15:29 UTC View →
Kalshi 12:23 UTC View →
Kalshi 16:38 UTC View →
Kalshi 16:38 UTC View →
Kalshi 09:00 UTC View →
Kalshi 11:18 UTC View →
Kalshi 11:44 UTC View →
Kalshi 11:44 UTC View →
Kalshi 15:03 UTC View →
Kalshi 09:01 UTC View →
Kalshi 17:46 UTC View →
Kalshi 16:38 UTC View →
Kalshi 11:15 UTC View →
Kalshi 11:47 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 Oneil Cruz: 1+,yes Shota Imanaga: 3+,yes Carmen Mlodzinski: 2+,yes Pittsburgh wins by over 1.5 runs 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: 2026-04-10 18:15:39 UTC · Download JSON

News & context

Your edge calculator

Enter your own probability estimate to see expected value and recommended position size using the Kelly Criterion.

EV per $1:  ·  ¼ Kelly:  ·  Side: