yes Chicago WS,yes Colorado,yes Golden State,yes Houston,yes Draymond Green: 10+,yes Deandre Ayton: 10+,yes LeBron James: 15+,yes Jabari Smith Jr.: 15+,yes Kevin Durant: 25+,yes Kelly Oubre Jr.: 15+,yes Tyrese Maxey: 20+,yes VJ Edgecombe: 15+,yes Over 219.5 points scored,yes Over 216.5 points scored,yes CAR Hurricanes,yes COL Avalanche,yes MIN Wild,yes UTA Mammoth,yes ANA Ducks,yes VGK Golden Knights,yes WPG Jets

What do these odds mean?

Cross-platform data for yes Chicago WS,yes Colorado,yes Golden State,yes Houston,yes Draymond Green: 10+,yes Deandre Ayton: 10+,yes LeBron James: 15+,yes Jabari Smith Jr.: 15+,yes Kevin Durant: 25+,yes Kelly Oubre Jr.: 15+,yes Tyrese Maxey: 20+,yes VJ Edgecombe: 15+,yes Over 219.5 points scored,yes Over 216.5 points scored,yes CAR Hurricanes,yes COL Avalanche,yes MIN Wild,yes UTA Mammoth,yes ANA Ducks,yes VGK Golden Knights,yes WPG Jets 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 02:17:10 UTC · Download JSON

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