proModeling+ 2026: The Full Refresh

📰 Medium · Machine Learning

Learn about proModeling+ 2026, a rebuilt pitch-quality stack with improved predictiveness and stabilization, and how it outperforms other public models in forecasting player performance.

advanced Published 30 Apr 2026
Action Steps
  1. Use proModeling+ 2026 to forecast player performance metrics such as FIP, K-BB%, and SIERA
  2. Validate the model against a clean validation season to demonstrate its effectiveness
  3. Compare proModeling+ 2026 with other public models such as FanGraphs Stuff+ and StuffPro to evaluate its performance
  4. Apply the rebuilt pitch-quality stack to real-world baseball data to gain insights into player performance
  5. Analyze the results to identify areas for improvement and refine the model further
Who Needs to Know This

Data scientists and analysts in the sports industry can benefit from this article to improve their player evaluation and forecasting models, while baseball enthusiasts can gain insights into the latest advancements in pitch-quality modeling.

Key Insight

💡 proModeling+ 2026 correlates more strongly with player performance metrics than other public models, making it a valuable tool for data-driven decision making in baseball.

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💡 proModeling+ 2026: A rebuilt pitch-quality stack with sharper predictiveness & faster stabilization. Outperforms other public models in forecasting player performance! #proModeling #baseball #dataScience

Key Takeaways

Learn about proModeling+ 2026, a rebuilt pitch-quality stack with improved predictiveness and stabilization, and how it outperforms other public models in forecasting player performance.

Full Article

Title: proModeling+ 2026: The Full Refresh

URL Source: https://jmaschino56.medium.com/promodeling-2026-the-full-refresh-bd487339d716?source=rss------machine_learning-5

Published Time: 2026-04-30T02:36:19Z

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# proModeling+ 2026: The Full Refresh | by Jeremy Maschino | Apr, 2026 | Medium

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# **proModeling+ 2026: The Full Refresh**

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**A rebuilt pitch-quality stack with sharper predictiveness, faster stabilization, and a cleaner split between what a pitch is and what a pitch does.**

Take a proStuff+ grade for any starter in the league from 2024. Use that single number to forecast their 2025 FIP, K-BB%, and SIERA. At 100 innings pitched, proStuff+ correlates more strongly with all three outcomes than FanGraphs Stuff+, StuffPro, and other public stuff models do.

That is the headline finding of proModeling+ 2026. The architecture behind it has been rebuilt, the training window has rolled forward, proLocation+ has been reframed, and every model has been validated against an entire season of data it has never seen. This article walks through what changed, how each model was validated, and where it lands against the competition.

## What is new in 2026

**Training window moved forward.** For this release, the models were trained on 2022 to 2024 and held 2025 out as a clean validation season, specifically to demonstrate p
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