A data-driven analysis by @SimonBrundish showing how Arne Slot's refusal to rotate produced career-high workload exposures across Liverpool's title-winning squad — and why a historic points drop is structurally inevitable.
Simon Brundish's nine-season historical analysis shows a clear, repeatable pattern: clubs that pile career-high workload exposures onto their core players in a title-winning season suffer severe points drops the following year. Liverpool FC in 2024-25 broke multiple load-management records in the wrong direction simultaneously.
Arne Slot prioritised Fluency at the direct expense of Freshness and Fitness. The title was won. The structural cost is a season of regression.
Four headline numbers from Liverpool's 2024-25 season load statistics.
Individual exposure data for Liverpool's most-used players. Career-high figures are a recognised risk factor for injury and performance decline the following season.
| Player | Total Mins* | Full 90s | Load (max 5,592) |
|---|
* Includes all competitions plus international duty. Club-only minutes shown in parentheses where different.
The Three Fs is Brundish's analytical framework for evaluating the competing priorities every manager must balance. In 2024-25, Slot's choices reveal a clear — and costly — hierarchy.
Physical readiness maintained through rotation and rest. Declines as cumulative load increases. Slot's near-static selection ensured freshness was progressively eroded with no recovery mechanism.
SacrificedOverall squad health measured through injury avoidance. Liverpool averaged 3.69 injury absences per game — a direct consequence of the absence of rotation.
SacrificedTactical cohesion and automatic partnerships built through consistent selection. Slot's clear priority — won the title, but destroyed the squad's load ecology simultaneously.
ChosenThe logic from Slot's management philosophy to the projected points drop.
Slot made only 2.98 selection changes per game and achieved a 7.61% sub-minute share — the lowest since the five-substitute rule was introduced. The five-sub rule was created specifically to protect player welfare. Slot's record-low usage is evidence that this tool was actively declined.
By running the same XI week after week, Slot failed to develop squad depth as an active load-sharing resource. When rotation is needed in 2025-26, the squad has no established rotation-ready layer — the structural cause of the regression risk.
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Total physical demand placed on a player, measured in minutes played and full 90s. Sustained high load is a recognised risk factor for injury and performance decline.
A personal record in a load metric. Reaching a career high is a well-established risk marker for subsequent injury and performance decline the following season.
The proportion of total player-minutes contributed by substitute appearances. Liverpool's 7.61% in 2024-25 is the lowest in the five-substitute era.
Deliberate variation of team selection to distribute playing time, maintain freshness, and reduce cumulative injury risk.
The systemic distribution of playing time across a squad. A balanced load ecology treats squad depth as an active, regularly deployed resource.
One of the Three Fs. Physical readiness maintained through adequate rest and rotation. Declines as cumulative load increases across a long season.
One of the Three Fs. Overall squad health measured through injury avoidance. Sustained high load is the primary driver of declining fitness.
One of the Three Fs. Tactical cohesion built through consistent selection. Slot chose Fluency above Freshness and Fitness in 2024-25.
A drop in a club's league points total relative to a previous season. Brundish projects a ~26-point regression for Liverpool in 2025-26.
A rule permitting up to five substitutions per match to protect player welfare. Liverpool's record-low usage in 2024-25 is central to Brundish's indictment of Slot.
A seven-step methodology based on Brundish's approach for assessing whether a manager's rotation policy creates unsustainable player-load conditions.
Gather total minutes played across all competitions for every squad player. Build a nine-season historical window to establish normal load ranges.
Compare each player's current season minutes and full-90s against personal career records. Flag every player at a career high — a recognised risk marker.
Divide substitute minutes by total squad minutes. A figure below 10% in the five-substitute era is a significant early-warning indicator.
Calculate average selection changes per game. Fewer than 3.0 changes per game indicates near-static selection and concentrated load.
Evaluate the manager's implicit prioritisation of Freshness, Fitness, and Fluency. Identify which component is being sacrificed.
Using historical data, project the likely magnitude of regression for the subsequent season based on the load profile.
Synthesise all metrics: which players are at highest injury risk, what squad depth capacity exists, and whether the approach is sustainable.
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