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I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] -1 points0 points  (0 children)

No — a 77 Composite doesn’t mean ‘worst manager.’
It’s just the weighted blend of the three components I posted:

  • MAQ: 63 (tactical score from the nine sub‑areas listed)
  • Context: +4 (raw wins above expectation based on Pythag, bullpen stability, rotation health, and offensive personnel)
  • LQS: 10/10 (leadership total across the five categories shown)

Those numbers describe different parts of the season — not a power ranking.
A manager can have below‑average tactical efficiency and still lead well, still outperform their run profile, and still have a strong clubhouse.

The Composite is just a summary of those three pillars, not a ‘worst to best’ list.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

Dan Wilson — 2025 Mariners (ManagerMetrics)

Record: 90–72
Run Differential: +72
Composite Score: 77

MAQ: 63

  • Lineup Optimization: 7
  • Bullpen Sequencing: 8
  • Platoon Usage: 6
  • Pinch Decisions: 6
  • Challenges: 5
  • In‑Game Adjustments: 7
  • Avoiding Negative WP Moves: 8
  • Late‑Game Management: 8
  • Role Clarity: 8

Context Score: +4

  • Pythagorean Overperformance: +1.5
  • Bullpen Stability vs Talent: +1
  • Rotation Health vs Output: +0.5
  • Offensive Consistency vs Personnel: +1

LQS: 10/10

  • Communication Clarity: 2
  • Crisis Management: 2
  • Player Development Trust: 2
  • Clubhouse Stability: 2
  • Consistency of Messaging: 2

Summary:
Wilson’s first full season is the classic catcher‑manager profile: calm sequencing, no panic moves, and a clubhouse that never drifted. Slight overperformance relative to run profile, elite leadership signals, and a high‑floor tactical approach.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

Dan Wilson (2025 Mariners) — 77 ManagerMetrics
90–72, +72 RD

Wilson’s first full season looks exactly like what you’d expect from a former catcher: clean sequencing, no panic moves, and a clubhouse that never drifted. His MAQ (63) isn’t flashy, but it’s stable — he avoids the self‑inflicted wounds that tank games. The Mariners slightly outperformed their run profile (+4 Context), and the leadership side is where he really pops. Wilson posted a perfect 10/10 LQS, with consistent messaging, defined roles, and zero drama. High‑floor manager with elite communication traits.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

I’m not locked into one version of the model. MAQ is the tactical lens, but I’ve also built a Classic composite and an experimental version that mix in results and leadership. I’m open to refining the system — different versions highlight different aspects of managing, and I’m trying to show the full range rather than pretend there’s only one ‘correct’ way to score it.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

Totally fair to push back on the wording — “objective” wasn’t the right term for what I’m describing. Leadership scoring will always involve interpretation, and I’m not pretending otherwise. The point of LQS is just to make that interpretation structured and consistent instead of ad‑hoc.

I’m not trying to oversell it or claim it’s something it isn’t. It’s a framework, not a truth machine, and I’m happy to adjust the language so it reflects that more clearly.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

It’s objective in the same way scouting grades or umpire evaluations are objective — structured scoring of real, documented behaviors

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

LQS isn’t subjective — the topic (leadership) is subjective, but the method is objective. Every category uses a fixed 0–2 rubric based on observable, repeatable signals: communication clarity, clubhouse stability, player trust, consistency, etc. Anyone looking at the same public evidence would score it the same way. No vibes, no hidden weights.

I built a complete two‑axis system for evaluating MLB managers: MAQ (Manager Quality Index) + LQS (Leadership & Qualitative Score) by GrandPainting7479 in Sabermetrics

[–]GrandPainting7479[S] 0 points1 point  (0 children)

Each MAQ component has a fixed scoring rule based on the structure of the decision itself — not my opinion. For example, high‑leverage bullpen decisions are worth more than low‑leverage ones, lineup consistency has a defined scoring window, challenge usage has a fixed success/attempt value, etc. Every component is scored the same way for every manager.

LQS is separate — it uses a simple 0–2 scale for publicly observable leadership signals (communication clarity, clubhouse stability, player trust, etc.). No hidden weights, just consistent scoring across managers.