yes Augsburg,yes West Ham,yes Marseille,yes Monaco,yes Roma

% Consensus YES
Platforms 1
Total Volume $0
Cross-platform spread
Resolves 2026-04-24
Platform Yes No Volume Last seen Link
Kalshi 17:56 UTC View →
Kalshi 11:11 UTC View →
Kalshi 11:06 UTC View →
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Kalshi 20:13 UTC View →
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Kalshi 19:51 UTC View →
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Kalshi 15:29 UTC View →
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Kalshi 17:30 UTC View →
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Kalshi 12:33 UTC View →
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Kalshi 15:23 UTC View →
Kalshi 20:00 UTC View →
Kalshi 18:59 UTC View →
Kalshi 11:10 UTC View →
Kalshi 17:15 UTC View →
Kalshi 17:40 UTC View →
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Kalshi 19:11 UTC View →
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Kalshi 18:48 UTC View →
Kalshi 10:35 UTC View →
Kalshi 11:10 UTC View →
Kalshi 05:00 UTC View →
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Kalshi 18:58 UTC View →
Kalshi 17:24 UTC View →
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Kalshi 17:38 UTC View →
Kalshi 19:11 UTC View →
Kalshi 19:08 UTC View →
Kalshi 18:25 UTC View →
Kalshi 18:44 UTC View →
Kalshi 12:33 UTC View →
Kalshi 18:32 UTC View →
Kalshi 18:52 UTC View →
Kalshi 20:00 UTC View →
Kalshi 16:11 UTC View →
Kalshi 19:11 UTC View →
Kalshi 17:57 UTC View →
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Kalshi 20:00 UTC View →
Kalshi 11:03 UTC View →
Kalshi 18:59 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 Augsburg,yes West Ham,yes Marseille,yes Monaco,yes Roma 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 20:13:39 UTC · Download JSON

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