Why Running Totals Don't Explain Manchester United's Results
Jamie Redknapp blamed Manchester United's draw with Tottenham on a running deficit, but data analysed by The Analyst shows distance covered has almost no bearing on where Premier League teams finish.
Manchester United's 1-1 draw with Tottenham Hotspur drew familiar criticism of the team's effort levels, with running statistics again used as shorthand for underperformance.
Jamie Redknapp, working as a pundit on Sky Sports, said Tottenham had covered five kilometres more than United in the match, and argued that teams in the Premier League "got to run more than the other team if you want to win, or at least get close enough that it doesn't make that much of a difference."
Distance and high-intensity running figures have become increasingly visible to fans and pundits alike, and United have been a frequent target of this kind of analysis under Michael Carrick in recent weeks. Liverpool and Chelsea faced similar scrutiny last season, so the pattern is not unique to Old Trafford.
Examined against the Premier League table and against pre-season expectations, the relationship between ground covered and results is weak at best, according to analysis by The Analyst (Opta).
Why raw distance rankings don't track the table
Comparing last season's final standings to teams' rankings for distance covered and high-intensity distance shows little alignment. Arsenal and Manchester City sat near the top for overall distance, but several sides who finished third to eighth produced only middling physical outputs by that measure.
The numbers bear this out. Teams who finished in the top 10 last season averaged 4,363km of total distance across the campaign, against 4,332km for the bottom 10 — a gap of just 31km. High-intensity distance showed a similarly marginal split: 338.7km per game for top-10 sides compared with 328.4km for the bottom 10, an increase of only 3.0%.
This season's early data points in the same direction, per The Analyst, with no clearer link visible between physical output and league position.
The supercomputer test that punctures the myth
Judging teams purely against the final table ignores that success is relative to expectation — nobody expected Burnley to finish seventh just because they ranked seventh for distance covered. The Analyst instead compared running totals to Opta's supercomputer pre-season predictions, which model where each club was most likely to finish before a ball was kicked.
Ten clubs finished at least one place higher than their predicted position last season. Those overachievers averaged 4,369km over the campaign. The nine clubs who finished at least a place below expectation averaged 4,308km — a difference of only 1.4%.
The exceptions are the more revealing detail. Sunderland beat their predicted finish by 13 places and Manchester United by nine, yet neither ranked in the top 10 for distance covered. Crystal Palace finished eight places below expectation and Newcastle six places below it, despite both sides ranking among the top 10 runners in the division.
That split undercuts the idea that covering more ground reliably produces better outcomes relative to a team's resources and expected level. The clubs who most exceeded expectations were not the ones logging the highest mileage, and two of the division's heaviest runners underperformed their predicted finish.
What expected points reveal about effort and outcome
A further test uses expected points, a model built from the xG value of every shot in a match, simulated thousands of times to estimate the likely share of wins, draws and defeats a team's performances should have produced. It carries the usual limitations of any model built on expected goals, but offers a useful gauge of performance independent of the actual scoreline.
By this measure, teams ranked in the bottom half for distance covered last season actually exceeded their expected points total by 0.38 on average. Teams in the top half for distance covered fell short of their expected points by 1.88 on average.
That is a notable inversion: the teams running less outperformed their underlying numbers, while the teams running more fell short of theirs. If distance covered translated directly into footballing quality or result-winning performances, the pattern would run the other way.
Taken together — the table comparison, the supercomputer test and the expected points gap — the evidence assembled by The Analyst points firmly away from the idea that a team's ground covered is a reliable signal of its quality or its likely results over a season. The outlet notes that correlations do emerge once a wider range of physical metrics is examined individually, which suggests any value in running data lies in more granular measures rather than the simple, oft-cited totals.
For Manchester United specifically, the lesson is that a five-kilometre deficit against Tottenham says little on its own about why the points were shared. The causes of a stalled campaign are more likely to sit in shape, roles and decision-making than in the distance covered on a GPS tracker.