Dugout ValueBaseball analysis and tools

Analysis

Research on pitching, hitting, projections, and trade value.

Research note

ShapeCast’s 2026 forecasts finished close to the baseline

Pitch shape reduced forecast error by 1.3% across 284 eligible pitchers. The uncertainty interval includes no improvement, and ShapeCast overestimated K-BB% more than the comparison model did.

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Research

A hitter’s cold zone isn’t a pitching plan

A weak spot only matters if the pitcher on the mound can reach it. In a retrospective 2024–25 test, the part of opponents’ plans aimed at a specific hitter matched about 46% of what my model said each pitcher could reach, against less than 10% when hitters were shuffled. I can’t show those plans cost hitters anything: that test came back null.

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Research

Pitch shape knows something a first half doesn’t

Add public Statcast pitch traits to 16 first-half statistics and second-half K-BB% forecasts get 2.6% better (95% interval 0.4% to 4.8%). But the smaller version I committed to in advance failed its own test, and this model’s RMSE was 4.6% higher than ZiPS.

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Research note

Three Statcast ideas that didn’t improve the forecast

Adjusting home-run forecasts for the pitches a hitter swings at made them 0.9% worse. Adding a pitcher’s secondary pitches improved fastball forecasts by 0.08%, inside an interval that spans zero. Spray-adjusted xwOBA made hitter forecasts 0.3% worse. A null on half a season of public data doesn’t prove an idea is zero, and I’ve kept all three out of the trade tools.

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Research note

A midseason fix for ZiPS made next year’s forecasts worse

A ridge correction cut rest-of-season error for 2025 hitters by 4.4%, though not by enough to rule out noise. When the job was the following season, it was 3.3% worse than ZiPS alone. The trade tool runs mostly on future seasons, so the correction stayed out.

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Explainer

Why Kevin McGonigle is worth 21 times Aaron Judge in trade

At default settings (the offseason view, with July 31, 2026 data), the trade model puts McGonigle at $382.4 million of surplus value and Judge at $18.2 million. Judge is projected to be the better player in 2027, 5.8 fWAR to 5.4. The gap is salary and time: McGonigle is paid $150.0 million over eight seasons, Judge $200.0 million over five. These are model numbers, not asking prices.

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Model guide

Overlapping ranges don’t make a trade fair

At default settings (the offseason view, with July 31, 2026 data), Paul Skenes comes out $4.2 million ahead of Julio Rodríguez in the trade builder, 3.9% of the larger side, and their ranges share $34.3 million of possible values. Neither number settles the deal. The ranges are fixed allowances, not confidence intervals, and they ignore a player’s age and experience.

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