Written by Last checked: May 21, 2026

How the index is built

How the Manager Pressure Index works

This page explains the data families, scoring weights, update cadence, and limits behind the Premier League Manager Pressure Index.

Last verified refresh: 5 August 2026 ← Back to the index

The model measures on-pitch pressure signals only. It does not attempt to model private board decisions or reporting.

What this page covers

  • Data families feeding the model
  • Scoring weights and pressure bands
  • Update cadence and stale-state handling
  • What the model cannot assess
  • Source families

Editorial review:

Data is currently stale. The last complete verified snapshot remains published.

Data families

The five signal groups that feed into the pressure model each week.

  • Recent form and points per game
  • League table pressure and relegation proximity
  • Winless-run signals
  • xG trend and xG underperformance, when enough recent completed-match coverage exists
  • Goal-difference trend

Pressure bands

The four output bands used to label each manager's current pressure level.

Low
0-24 Few public signals of concern
Watch
25-49 Pressure building — worth monitoring
High
50-74 Multiple pressure signals active
Extreme
75-100 Strong convergence of negative signals

Scoring weights

Each component's contribution to the final 0–100 pressure score, expressed as a percentage of the total model weight.

Recent points per game 30%
League danger score 20%
Winless streak pressure 15%
Recent xG differential trend 20%
Underperformance versus xG 10%
Goal difference trend 5%

Update cadence

How and when the index refreshes each week.

The model is designed for a weekly Monday morning UK-time refresh. If an update fails, the last fully verified snapshot stays live.

A new run is only published after a complete validated refresh. If a run fails, the previous verified snapshot stays live.

What the model cannot see

Important limits on what this public-data model can and cannot assess.

  • The model cannot see private club discussions, dressing-room dynamics, or boardroom timelines.
  • Pressure scores are a public-data read on performance, not a dismissal prediction.
  • If recent xG coverage is too thin for a club, xG-driven factors are withheld from the score rather than replaced with a fake fallback.

Source families

The data categories the model draws from for each weekly refresh.

  • League standings, form, and match results
  • xG and xGA inputs
  • Manager and club mapping records maintained inside the plugin

Frequently asked questions

Common questions about the Manager Pressure Index, how the scores are calculated, and what the page does and does not claim.

What does manager pressure mean here?

On this page, pressure means the level of public performance pressure showing up through form, league position, xG trend, underperformance, and related signals.

How is the score calculated?

The score blends weighted components for recent form, table danger, winless runs, goal-difference trend, and, when enough completed-match coverage exists, xG trend and underperformance versus xG. If xG coverage is too thin, those xG factors are excluded and the remaining weights are rescaled.

Is this the same as a sack race?

No. The page acknowledges that sack-race search interest exists, but the model itself measures pressure signals rather than trying to predict a club board's next move.

How often is the page updated?

The intended cadence is a weekly Monday-morning UK refresh. If a scheduled run fails, the last verified snapshot stays published and the page marks the data as stale.

Does this page predict who will be sacked next?

No. It is a public-data model that highlights performance pressure. It does not claim to know what clubs will do next or when they might act.

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