yes LaMelo Ball: 30+,yes Evan Mobley: 12+

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-26
Platform Yes No Volume Last seen Link
Kalshi 09:22 UTC View →
Kalshi 14:22 UTC View →
Kalshi 14:23 UTC View →
Kalshi 10:36 UTC View →
Kalshi 12:24 UTC View →
Kalshi 14:23 UTC View →
Kalshi 06:45 UTC View →
Kalshi 16:31 UTC View →
Kalshi 05:54 UTC View →
Kalshi 15:38 UTC View →
Kalshi 16:30 UTC View →
Kalshi 14:22 UTC View →
Kalshi 17:43 UTC View →
Kalshi 14:22 UTC View →
Kalshi 14:56 UTC View →
Kalshi 19:49 UTC View →
Kalshi 21:39 UTC View →
Kalshi 11:36 UTC View →
Kalshi 14:04 UTC View →
Kalshi 14:04 UTC View →
Kalshi 09:12 UTC View →
Kalshi 17:12 UTC View →
Kalshi 15:20 UTC View →
Kalshi 15:28 UTC View →
Kalshi 15:20 UTC View →
Kalshi 11:42 UTC View →
Kalshi 10:18 UTC View →
Kalshi 09:33 UTC View →
Kalshi 09:33 UTC View →
Kalshi 21:32 UTC View →
Kalshi 12:27 UTC View →
Kalshi 06:41 UTC View →
Kalshi 13:25 UTC View →
Kalshi 22:13 UTC View →
Kalshi 14:12 UTC View →
Kalshi 14:35 UTC View →
Kalshi 23:54 UTC View →
Kalshi 10:57 UTC View →
Kalshi 17:20 UTC View →
Kalshi 09:05 UTC View →
Kalshi 14:15 UTC View →
Kalshi 08:15 UTC View →
Kalshi 13:16 UTC View →
Kalshi 14:36 UTC View →
Kalshi 14:13 UTC View →
Kalshi 19:57 UTC View →
Kalshi 07:42 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 LaMelo Ball: 30+,yes Evan Mobley: 12+ 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: 2026-04-12 09:05:24 UTC · Download JSON

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