yes Philadelphia,yes Bub Carrington: 2+,yes Scottie Barnes: 2+,yes San Antonio,yes Charlotte,yes Golden State,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes VJ Edgecombe: 10+,yes Kon Knueppel: 2+,yes Paolo Banchero: 4+,no Over 249.5 points scored,no Over 251.5 points scored,no Over 245.5 points scored,no Over 262.5 points scored,no Over 264.5 points scored,no Over 256.5 points scored,no Over 249.5 points scored
What do these odds mean?
Cross-platform data for yes Philadelphia,yes Bub Carrington: 2+,yes Scottie Barnes: 2+,yes San Antonio,yes Charlotte,yes Golden State,yes Utah,yes Miami,yes Houston,yes Boston,yes Orlando,yes Philadelphia,yes VJ Edgecombe: 10+,yes Kon Knueppel: 2+,yes Paolo Banchero: 4+,no Over 249.5 points scored,no Over 251.5 points scored,no Over 245.5 points scored,no Over 262.5 points scored,no Over 264.5 points scored,no Over 256.5 points scored,no Over 249.5 points scored 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.
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