pitcher-analytics

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Use when the task involves evaluating a college baseball pitcher or pitching staff — including pitch-mix analysis, sequencing strategy, matchup scouting, platoon splits, and role recommendations (starter vs. reliever vs. closer).

ahump20 By ahump20 schedule Updated 4/13/2026

name: pitcher-analytics description: Use when the task involves evaluating a college baseball pitcher or pitching staff — including pitch-mix analysis, sequencing strategy, matchup scouting, platoon splits, and role recommendations (starter vs. reliever vs. closer).

Pitcher Analytics

Use this skill when the task requires a thorough pitching evaluation beyond ERA. The goal is to give coaches, analysts, and content teams a precise and actionable read on how a pitcher is performing, why, and what adjustments to expect or recommend.

Working Model

Before evaluating any pitcher, establish:

  • Role: Weekend starter, midweek starter, multi-inning reliever, closer, or high-leverage bridge arm?
  • Arsenal: What pitches does he throw? What are the usage rates? Does he have a true out pitch?
  • Sample: How many innings? How many appearances? Weekend or midweek context?
  • Opponent quality: DI average, conference slate, or top-25 heavy schedule?

Role and sample matter as much as the metrics themselves. A 12-start weekend arm and a 20-inning reliever require different analytical frames.

Pitch-Mix Analysis

When pitch data is available (Trackman, Hawkeye, Yakkertech, or manually scouted):

Pitch Classification

  • Fastball family: Four-seam, two-seam/sinker, cutter
  • Breaking ball family: Curveball (12-6, slurve), slider (hard, gyro)
  • Offspeed family: Changeup, splitter, circle change
  • Specialty: Screwball, knuckleball (flag these — rare at college level)

Usage Rate Guidance

A healthy starter arsenal typically looks like:

Pitch Type Typical Usage Range
Primary fastball 40–60%
Secondary fastball or cutter 0–20%
Primary breaking ball 15–30%
Offspeed (change/splitter) 10–25%

A pitcher over-relying on one pitch (>70% usage) is either elite with that pitch or limiting himself — determine which from outcome data.

Pitch Value Metrics (when available)

  • Whiff% per pitch: Swings and misses / total swings on that pitch type
  • Put-away%: K rate when pitcher is ahead in count (0-2, 1-2)
  • Chase%: O-Swing% — swings on pitches outside the zone
  • Zone%: Percentage of pitches in the strike zone

Elite put-away pitch: > 35% whiff rate on the pitch in two-strike counts.

Sequencing Principles

Even without pitch-tracking data, sequencing can be evaluated from game logs and observation:

  1. Fastball command first: A pitcher who cannot locate the fastball to both sides of the plate has no sequence — everything telegraphs.
  2. Secondary in early counts: Elite pitchers use breaking balls in 1-0 and 2-0 counts to steal called strikes; average pitchers default to fastballs.
  3. Change the eye level: Pairing a high four-seam with a low changeup or curve creates the most cognitive dissonance for hitters.
  4. Left/right splits: Evaluate breaking ball and changeup effectiveness separately vs. LHH and RHH.

When sequence data is limited: read the BABIP vs. FIP gap. A large positive gap (ERA >> FIP) suggests batted-ball variance is punishing an otherwise solid sequence plan. A large negative gap (ERA << FIP) may indicate sequencing masking mediocre stuff.

Role Recommendations

Use these thresholds to recommend starter vs. reliever roles:

Metric Starter Profile Reliever Profile
IP/start 5.0+ N/A
Pitches/start 80+ < 50 (multi-inning)
Arsenal depth 3+ pitches 2 pitches acceptable
BB/9 tolerance < 3.5 < 4.5
Velocity (avg FB) 89+ mph 90+ preferred
Platoon split Manageable Can be hidden

A two-pitch pitcher with elite stuff but a 4.5 BB/9 is likely a high-leverage late-inning arm, not a Friday starter.

Bullpen Evaluation Framework

For evaluating a pitching staff as a unit:

  1. Inherited runner strand rate (LOB%): Above 72% = good bullpen management. Below 65% = issues.
  2. Opener usage: Note when a program uses openers to match up with dangerous top-of-order left-handed hitters.
  3. Closer profile: Should have at least one elite secondary pitch (whiff > 30%), K/9 > 10, BB/9 < 3.
  4. Depth count: How many arms can give a clean inning? Flag if the program is 2-3 deep vs. 5-6 deep.

Platoon Splits

Standard splits to report:

Split Metric Threshold to flag
vs. LHH wOBA allowed > .360 is vulnerability
vs. RHH wOBA allowed > .360 is vulnerability
RISP BA allowed > .280 is a clutch concern
2-out OBP allowed > .380 is a sequencing concern

Weekend Series Pitcher Preview Format

When generating a series pitcher preview:

  1. Starter name, class, role (e.g., "RHP, Jr., Friday starter")
  2. Season line: ERA / FIP / IP / K/9 / BB/9 / WHIP
  3. Arsenal summary: Top 2–3 pitches, usage, and best pitch
  4. Key tendency: One sentence on what he does well and what hitters can exploit
  5. Matchup note: How does his profile match against this specific opponent's lineup tendencies?

Keep each pitcher card to 6–8 lines. Do not pad with generic commentary.

Hard Rules

  • Never lead with ERA alone — always pair with FIP or WHIP.
  • Never recommend a role change without citing at least two supporting metrics.
  • Never present pitch-mix analysis without sample size in appearances or batters faced.
  • Always flag when data is manually scouted (subjective) vs. tracked (objective).
  • Do not compare a college pitcher's raw numbers to MLB benchmarks without adjusting the frame.
  • When evaluating a Texas pitcher: note Disch-Falk Field's hitter-friendly environment in the ERA read.
Install via CLI
npx skills add https://github.com/ahump20/Sports-Plugins --skill pitcher-analytics
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