Quantifying unexpected movement has been at the forefront of pitching analytics for a while, and now the public can get in on the action! Introducing Pitch Profiler’s Dynamic Dead Zone—your key to spotting the truly unpredictable stuff.🧵 - ThreadSky

About ThreadSky

mlbpitchprofiler.com • 7 days ago

Quantifying unexpected movement has been at the forefront of pitching analytics for a while, and now the public can get in on the action!

Introducing Pitch Profiler’s Dynamic Dead Zone—your key to spotting the truly unpredictable stuff.🧵

1 / 2

Comments

mlbpitchprofiler.com•7 days ago

Each cluster you see is a direct comparison of expected vs actual Magnus acceleration for a given pitch type—think predicted physics vs real-world results.

mlbpitchprofiler.com•7 days ago

Under the hood, every pitch is matched to one of eight specialized movement models using a mix of Hungarian assignment and nearest-neighbor matching.

mlbpitchprofiler.com•7 days ago

Fuzzy filled contours = model’s predicted horizontal & vertical Magnus accel (expected from release).

Thin unfilled ellipses = real 2σ outlines at the same mean/SD.

Solid dot = actual avg accel

Annotations: shows unexpected movement.

mlbpitchprofiler.com•7 days ago

We use Magnus acceleration because it’s a release‐direction‐relative metric that’s independent of time under a constant‐acceleration model—so time to the plate doesn’t add unwanted variance.

You can think of the accel components as induced vertical break and horizontal break.

mlbpitchprofiler.com•7 days ago

Dynamic Dead Zone is available now for MLB Tier Patrons. Head to Pitch Profiler and start uncovering the truly unpredictable stuff!

mlbpitchprofiler.com•7 days ago

Dynamic Dead Zone: https://www.mlbpitchprofiler.com/dynamic_dead_zone

Posting Rules

Be respectful to others
No spam or self-promotion
Stay on topic
Follow Bluesky's terms of service

Comments

Posting Rules

Reply