Football errors often look obvious but stem from different underlying causes. A four-category framework helps coaches separate execution, choice, spacing and body-orientation problems when reviewing the same broken sequence.

The framework comes from Avaliação do Erro no Futebol, an article by Bruno Loureiro published by Universidade do Futebol. It is best understood as a coaching-analysis piece rather than a data study. Its aim is practical: make post-match review and training feedback more precise by distinguishing different kinds of error that can produce the same visible outcome.

The starting point is broader than the usual idea of error. Error is not limited to the obvious miss — a shot wide, a loose touch, a pass straight out of play. It is any deviation from what the situation and the game model required. That is why a pass can still be wrong even if it reaches its teammate, or why a player can occupy the nominally correct zone and still undermine the move through their body shape.

That framing gives the framework its coaching value. In a build-up example — a centre-back trying to find a midfielder and failing to progress the ball into the next third — the visible failure is easy to spot. The harder and more useful question is what kind of mistake actually produced it. Sequential-analysis research cited in the article (Castellano, 2000) suggests that a goal is rarely the product of a single isolated error: it is more often the result of a chain of three to five micro-errors accumulated in under twenty seconds. That is the conceptual basis for working backward through the sequence rather than stopping at the final visible failure.

The article walks through the goal Brazil conceded to France in a recent friendly to make the point. Within the sequence, errors split into three temporal types:

• Trigger errors look harmless on their own but break the team’s tactical balance — typically a missed reaction to a loose ball or a failure to recompose after losing it.
• Amplifier errors are the wrong compensatory reactions by teammates trying to cover for the trigger. They make things worse: breaking the marking line out of time, failing to delay the attack.
• Terminal errors are the final technical failure visible at the end of the chain — losing the duel in the last twenty metres, misreading a passing-lane closure.

The trichotomy tells you where in the chain to look. The four causal categories that follow tell you what kind of mistake occurred at each step.

Technical (Execution)

This is the most obvious category: the pass does not arrive, arrives with the wrong weight, arrives too high, reaches the teammate on the wrong foot, or the receiving touch prevents the next action. One of the framework’s clearest points is that an action can look superficially successful and still be technically wrong. A completed pass is not necessarily a good pass if it worsens the receiver’s next move.

Decision-Making (Choice)

Here the action may be technically clean but conceptually wrong. The Italian football federation (FIGC) actually treats decision errors as a subcategory of individual tactics, on the logic that execution is only the final stage of the OODA sequence — observe, orient, decide, act. In the build-up example, this category includes misreading numerical conditions, missing a positional or qualitative advantage, misunderstanding the relevant tactical principle, or lacking enough experience of that exact situation. The article points toward representative repetition as part of the answer, though it does so as coaching logic rather than as a tested intervention.

Space Occupation

This category shifts the focus from the single action to the relations between players. Interaction depends on spacing being right for the team’s idea. If teammates stand too close together, the press can lock onto multiple players at once. If they stand too far apart, the ball carrier loses connections. If the structure blocks the goalkeeper from being used as an extra player, a possible numerical edge disappears. Importantly, the correct occupation depends on the team’s game model rather than a universal spacing rule.

Individual Tactics

This covers details such as body orientation, positioning and movement relative to pressure. In the offensive examples, the receiver’s posture carries special weight: a closed body shape, receiving with the back to play, or standing with heels flat on the ground. These are treated as tactical-preparatory faults rather than purely technical ones. That distinction matters because it changes the kind of feedback a coach would give and the kind of training task they might design.

An important caveat sits outside the four-part taxonomy: the opponent matters. Not every lost ball should be read purely as your own technical or tactical failure. The article points to PPDA — passes per defensive action — as a measurable proxy for how much an organised press is shrinking the time-space your players have to work in. That is a useful guardrail in a sport where video review can become too eager to assign blame to the team in possession.

A second caveat appears later in the article under what is called the hidden variable. Fatigue, game reading and emotional intelligence influence actions, but analysis should still define error through the spatial, temporal and relational indicators visible in the play itself. The point is not to deny those hidden influences but to keep the first layer of coaching analysis anchored to observable football behaviour — on the logic that if a team concedes because it was tired or unfocused, the drop will already show up in the measurable performance data.

The main strength of the piece is therefore its language. It gives coaches and analysts a shared way to say that a failed sequence was not simply “bad execution”. A pass to the wrong foot, a poor body orientation, a bad spacing relation and a mistaken read of pressure can all end the same move, but they do not point to the same correction.

The article is also clear, if mostly implicitly, about its limits. It does not tell us how often each category appears, whether coaches would classify the same clip in the same way, or how reliably the framework could be turned into a larger measurement system. Its value is more immediate and practical: it sharpens diagnosis inside coaching review.

That is what makes the framework interesting. It does not reduce football error to one final mistake. Instead, it encourages coaches to work backward from the breakdown, locate the trigger and amplifier steps, and identify which causal layer actually failed at each one. The article’s own mantra — Conhecer para Reconhecer e Reconhecer para Corrigir, “know to recognise, recognise to correct” — captures the loop it is asking coaches to run. For analysts and coaching staffs trying to make feedback more precise, that is already a useful contribution.