Researcher ORCID Identifier

Prediction Markets vs. Sportsbooks: A Comparison of NFL Forecast Accuracy 

Graduation Year

2026

Date of Submission

4-2026

Document Type

Open Access Senior Thesis

Degree Name

Bachelor of Arts

Department

Economics

Reader 1

Florian Madison

Rights Information

Dylan M Cotti

Abstract

This paper compares the forecast accuracy of Kalshi, a prediction market, and DraftKings, a sportsbook, using data from 285 NFL games in the 2025-26 season. I collect win probabilities from both platforms at three time points in the week before each game and measure accuracy using the Brier score. I find that Kalshi produces slightly more accurate predictions than DraftKings, but the gap is small and marginally significant. More surprisingly, both platforms become less accurate as the game approaches rather than more accurate. Once I control for differences in how each platform distributes its quoted probabilities, the accuracy gap largely disappears, suggesting the difference is more about how each platform quotes odds than about one having genuinely better information.

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