yes Cincinnati,yes Houston,no Detroit 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 18:53 UTC View →
Kalshi 23:17 UTC View →
Kalshi 09:26 UTC View →
Kalshi 18:53 UTC View →
Kalshi 15:03 UTC View →
Kalshi 04:53 UTC View →
Kalshi 04:53 UTC View →
Kalshi 06:26 UTC View →
Kalshi 08:35 UTC View →
Kalshi 23:27 UTC View →
Kalshi 23:16 UTC View →
Kalshi 09:54 UTC View →
Kalshi 22:40 UTC View →
Kalshi 10:27 UTC View →
Kalshi 21:52 UTC View →
Kalshi 18:55 UTC View →
Kalshi 20:38 UTC View →
Kalshi 10:49 UTC View →
Kalshi 21:06 UTC View →
Kalshi 21:03 UTC View →
Kalshi 07:19 UTC View →
Kalshi 19:45 UTC View →
Kalshi 07:18 UTC View →
Kalshi 05:51 UTC View →
Kalshi 22:08 UTC View →
Kalshi 17:06 UTC View →
Kalshi 22:33 UTC View →
Kalshi 19:31 UTC View →
Kalshi 23:03 UTC View →
Kalshi 07:36 UTC View →
Kalshi 14:06 UTC View →
Kalshi 07:19 UTC View →
Kalshi 12:26 UTC View →
Kalshi 12:37 UTC View →
Kalshi 17:05 UTC View →
Kalshi 12:37 UTC View →
Kalshi 21:01 UTC View →
Kalshi 22:38 UTC View →
Kalshi 07:18 UTC View →
Kalshi 12:37 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 Cincinnati,yes Houston,no Detroit 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 23:27:39 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: