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Description
Daily-refreshed data comparing Kalshi event-contract probabilities against US sportsbook consensus odds across nine sports, including golf, NFL, NBA, MLB, NHL, EPL, MLS, UEFA Champions League, and FIFA World Cup. The dataset is sourced from a live data plane and aggregated from 13+ US sportsbooks. It was authored by kennyhyder and last updated on 2026-07-17.
Use Cases
Modeling arbitrage opportunities based on the comparison between Kalshi and traditional sportsbook odds.
Analyzing market efficiency by tracking the divergence between prediction market and sportsbook probabilities.
Building real-time dashboards for odds comparison across multiple sports leagues.
Training machine learning models to predict odds movements using daily-refreshed probability snapshots.
Strengths
Covers nine major sports leagues and tournaments, providing broad market coverage.
Aggregates data from 13+ US sportsbooks, offering a consensus view.
Data is refreshed daily, suggesting relatively current information.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Freshness should be verified as the last update timestamp is in the future (2026-07-17).
Provenance
Source
Live data plane comparing Kalshi markets and 13+ US sportsbooks.
Collection Method
Daily-refreshed export of active markets and de-vigged book medians.
Freshness
Daily-refreshed; last updated 2026-07-17 07:00:25.
Geography
United States (US sportsbooks).
License is unknown; terms of use must be verified before commercial application.