This is the belief system beneath every paper, programme and framework the Institute produces. If you disagree with these, you will disagree with all of it — and we would rather you knew that now.
Performance, medicine, coaching, recruitment, psychology, leadership, technology and culture are not departments. They are one system that has been organised into departments for administrative convenience — and football pays for that convenience every week.
The constraint is no longer collection. It is interpretation, translation, and the courage to act on what the evidence actually says rather than what it was hoped to say.
The same number means different things in October and April, at 19 and at 33, after a flight and after a rest week. A metric without context is not neutral. It is misleading.
The purpose of a football technology is to make a human being better at a decision they were already responsible for. Any system that removes the human from the loop has removed the accountability with them.
Decision quality is a separate discipline from data quality. Football has invested heavily in one and almost nothing in the other.
The body communicates continuously and in advance. The question is whether the organisation is structured to hear it — and whether anyone is empowered to act on a signal that is inconvenient.
Trust, clarity, psychological safety and the ability to carry bad news upwards are measurable performance variables. They are also the ones most likely to be described as 'soft' by organisations that have never measured them.
The clubs that will lead the next decade are not the ones with the most tools. They are the ones with the strongest habit of asking better questions, and the humility to be wrong in public, quickly.
If the intelligence era makes the game colder, narrower, or more anxious for the people inside it, then it has failed — regardless of what it did to the results.
It will be built by people who understand the game, understand the science, understand the technology, and understand each other. Building those people is the work of this Institute.
Every publication this Institute's positions rest on — readiness, recovery, injury, return to play, head injury, heat, youth and the women's game. Named authors, named departments, resolvable DOIs, and what each study does not say.
What load does to a player, and what monitoring can and cannot tell you.
Injury risk is driven not by how much load a player carries but by how rapidly and how badly timed the changes in that load are — and load means training, matches, travel, psychological and life stress, not minutes on the pitch.
Expert consensus rather than pooled evidence, and its endorsement of the acute:chronic workload ratio has since been substantially challenged.
Illness is a load-related outcome too — a squad repeatedly losing availability to infection is usually showing a load-management failure, not bad luck.
Illness surveillance in club football is far less standardised than injury surveillance, so the underlying evidence base is thinner than for Part 1.
The reference definition of what a credible monitoring system contains — internal and external, objective and subjective — and a plain statement that no single metric captures readiness.
Describes what can be measured more confidently than what should be acted upon; it stops short of decision thresholds.
The cheap, simple, athlete-reported tools generally outperform the expensive physiological ones — compliance and consistency matter more than sophistication.
A narrative review with no formal search protocol, so selection of evidence is at the author's discretion.
The origin of session-RPE: session duration multiplied by the player's 0–10 rating of how hard it felt tracks heart-rate-based load closely, at zero cost.
Validated in small non-football cohorts; the rating is easily distorted by collection timing and by players who suspect it affects selection. Predates DOI registration — cited by PMID 11708692.
External load is what you prescribe — distance, sprints, accelerations. Internal load is what the player's body actually experiences. Only the second one causes adaptation or breakdown.
Clarifies definitions but does not resolve how the two should be combined in practice.
The most influential idea in modern load management: under-training is itself a risk factor, and progressively loaded players tolerate hard weeks better than undertrained ones.
The paper at the centre of the dispute — critics argue the central claim rests on a statistically flawed ratio and on cross-sectional associations presented as prediction.
The primary study behind the ACWR: across 53 players over two seasons, weeks where load spiked far above the four-week average carried elevated injury risk.
Rugby league, single cohort, 53 players — the title claims prediction but the design supports association only, a point the authors later conceded in print.
The clearest statement of why the ratio is broken: the acute week sits inside the chronic average, so the two are mathematically coupled and will appear correlated even with random data.
Dismantles the metric without offering an equally simple validated replacement.
The strongest formal argument to abandon the ACWR: the apparent protective effect of high chronic load is an artefact of how the ratio is constructed, not a training effect.
A live and unresolved dispute — the original authors reject the conclusion, and many clubs still run ACWR dashboards.
The ratio fails on its own terms as a scaling index — dividing acute by chronic load does not remove the influence of chronic load, so the number does not mean what practitioners assume.
A short editorial; the full statistical argument is spread across the authors' companion letters.
A flat rolling average treats a session four weeks ago as equally important as yesterday's, which is not how fitness and fatigue decay — the argument that produced exponentially weighted models.
The exponentially weighted alternative it inspired inherits the same coupling problem and is therefore not a fix.
The field measures the wrong thing: total session load says little about the load reaching the specific tissue that fails, which is why squad-level numbers predict individual injuries so poorly.
Structure-specific load is not currently measurable in a live football environment, so the critique is easier to accept than to act on.
The formal evidence audit: findings are inconsistent between studies, methods differ too widely to pool, and no defensible universal danger threshold exists.
Its own quality-appraisal method was publicly challenged in a subsequent Sports Medicine letter.
How far GPS can be trusted: acceptable for total distance and low-speed running, progressively less reliable as speed rises and movements become short, sharp and multidirectional — exactly the actions that matter most in football.
Predates current 10 Hz/18 Hz and hybrid GPS-LPS units, so the specific error figures are dated even though the principle holds.
A head-to-head field validation of GPS, local positioning and optical tracking against a gold standard: the same match produces materially different numbers depending on which system generated them.
System- and firmware-specific — which also means historical load data cannot be compared across a change of supplier.
A short daily wellness questionnaire responds to changes in training load more sensitively and more consistently than blood markers, heart rate or hormonal measures.
Sensitivity to load is not prediction of injury — these measures reflect what has already happened, not reliably what will.
Heart-rate variability and submaximal heart rate carry real signal — but only as individual trends over weeks against that player's own baseline and measurement error, never as a single-day green or red light.
Day-to-day biological noise is large enough that isolated readings should not drive selection; evidence for predicting injury specifically is weak.
Matches played on four recovery days or fewer carried a 32% higher muscle injury rate than those on six or more, driven by hamstring and quadriceps injuries — while team results were essentially unaffected.
Observational, so squad rotation and selection confound the comparison; it cannot prove congestion itself causes the injuries.
With two matches a week, running output held up completely — but the injury rate was roughly six times higher (25.6 vs 4.1 per 1000 hours). A player can look fine on the GPS report and be badly under-recovered.
Single club, 32 players, physical output measured only in home matches — the effect size is almost certainly imprecise even if the direction is robust.
How long recovery actually takes, and which interventions survive scrutiny.
Elite athletes sleep less and worse than the general population — and the panel argues against a blanket 'seven to nine hours' rule in favour of individualised sleep targets built on each athlete's own perceived need.
The panel is explicit that the performance effect of realistic one-to-three-night partial sleep restriction remains unclear, that most athlete sleep studies lack female participants, and that common sleep-tracking tools are of questionable validity.
The review that established sleep as a performance variable rather than a lifestyle one, cataloguing why athletes sleep badly — travel, late kick-offs, schedules, anxiety — and which nutritional levers may help.
The nutritional interventions rest largely on small non-athlete laboratory studies, so dose and real-world effect in football are extrapolated.
The landmark demonstration that sleep is an intervention, not just a state: roughly 111 extra minutes a night for 5–7 weeks improved sprint time, free-throw accuracy by 9% and three-point accuracy by 9.2%.
Eleven male basketball players, no control group, and a season-long practice effect that cannot be separated from the sleep effect — the magnitude is almost certainly inflated.
The first study to link sleep directly to injury: athletes averaging under eight hours a night were 1.7 times more likely to have been injured.
Adolescent, non-football, self-reported sleep and retrospective records — and the lower confidence bound touches 1.0, so this is association, not a proven risk ratio for senior professionals.
The definitive quantification of the post-match recovery curve: hamstring force, physical performance, creatine kinase, wellbeing and soreness are all still meaningfully impaired at 72 hours after a real match.
Match simulation protocols produce substantially smaller muscle-damage responses than real 11-a-side competition, so much of the underlying literature understates true match load.
No single marker captures recovery status, so monitoring must be multivariate, individualised and periodised — and results come from a few well-matched interventions, not from stacking many recovery activities.
A principles document reached by expert agreement, and it deliberately declines to specify which markers or thresholds a club should use.
The head-to-head comparison: massage came out strongest for soreness and perceived fatigue, with active recovery, compression, immersion and contrast therapy producing smaller reductions — while stretching and electrostimulation produced no meaningful change.
The outcomes are soreness, perceived fatigue and blood markers — not restored performance — and it says nothing about interference with training adaptation across a season.
The study that changed practice on ice baths: over twelve weeks, athletes using active recovery gained significantly more strength and muscle than those using cold water immersion, which blunted the anabolic signal.
Resistance training in recreationally active men, not in-season football — the practical resolution is periodising cold exposure, not abandoning it.
Compression garments produce a small but reliable recovery benefit, largest for strength recovery at 2–8 hours and beyond 24 hours — and the benefit does not depend on garment pressure or training status.
Dominated by resistance and running protocols rather than football, and a substantial part of the effect may be placebo — blinding a compression garment is effectively impossible.
The reference separation of travel fatigue — which any journey causes and rest resolves — from jet lag, which follows crossing time zones at roughly a day of adjustment per zone, with distinct interventions for each.
The companion systematic review by the same group found the underlying intervention evidence in athletes to be limited and largely low quality.
The most authoritative football-specific nutrition document there is — match-day and training-day fuelling, body composition, hydration, travel, supplements, rehabilitation, referees and junior players — anchored on food first.
The authors describe it as a narrative synthesis of the group's knowledge and practice rather than a systematic review, so recommendation strength is not formally graded.
The model behind modern carbohydrate periodisation: intake should be matched to the session about to be performed rather than kept uniformly high, because training with reduced glycogen amplifies the signal for oxidative adaptation.
The authors are candid that amplified signalling does not reliably become improved performance — only around 37% of relevant studies showed a performance benefit — and the framework comes from endurance rather than football.
The reference point for protein prescription: supplementation meaningfully augments strength and lean mass gains, but the benefit plateaus at about 1.6 g per kg body mass per day. Above that, more protein adds nothing.
Resistance-training contexts rather than in-season football, and the plateau carries wide confidence intervals; a published correction should be cited alongside the original.
A correction to how most clubs use the countermovement jump: the average of a player's jumps detects fatigue and supercompensation more sensitively than the single best jump — which is what 85% of studies report.
The sensitivity of other variables such as peak power remains unresolved, and it does not establish what size of change should trigger a decision for an individual.
A reality check on blood panels: creatine kinase tracked fatigue consistently in strength and high-intensity work, urea and IGF-1 in endurance work — the useful marker differs by training mode, so no single panel monitors a squad.
Simulated camps rather than competitive football, and even for CK the between-athlete variability means values are only interpretable against an individual's own baseline.
The football-specific reference on what a match actually does to a player — mechanical, metabolic, neural and psychological fatigue with different recovery timescales, which is why one recovery protocol cannot address all of it.
A narrative review; its companion Part II covers interventions and is now partly superseded by later meta-analyses.
How football counts its injuries, and what has been shown to reduce them.
The document that made football injury data comparable at all — fixing what counts as an injury, a recurrence, a severity band and an exposure hour, so numbers from different clubs and leagues mean the same thing.
Built on a time-loss definition, so it systematically under-counts overuse and non-time-loss complaints that still degrade performance.
The current cross-sport standard — including the shift from counting injuries to reporting injury burden, days lost per 1000 hours — and a checklist for judging whether any injury report you are shown is credible.
Deliberately sport-generic, so football-specific classification detail still has to come from the 2006 football consensus.
No screening test yet exists that can tell you which individual player will be injured: a statistically significant association with risk is not predictive accuracy, and no study has shown that treating only high-risk players beats giving everyone the same programme.
An argument rather than new data — testing may still be defensible for individualising load and rehabilitation, just not for prediction.
Across eighteen seasons of Europe's biggest clubs, injury incidence fell roughly 3% per season in both training and matches, re-injury rates fell and availability rose — the headline evidence that elite medical practice has been working.
Participating clubs are self-selected elite European teams with well-resourced medical departments, and all data are staff-reported, so this may not generalise to the wider game.
Hamstring injury has doubled its share of the elite men's game in twenty years — from 12% to 24% of all injuries and from 10% to 20% of all days lost. Overall progress has not reached football's most common injury.
Descriptive time-trend data: it documents the rise but cannot attribute it to congestion, sprint volume or changed training practice.
Adding the Nordic hamstring exercise to normal training cut acute hamstring injuries by roughly 70% across 942 players and 50 teams, for both new and recurrent injuries.
Unblinded, mixed professional and amateur squads, and the effect is larger than later pooled estimates — elite clubs should expect a smaller real-world benefit.
Pooled across sports and sexes, prevention programmes containing the Nordic hamstring exercise roughly halve hamstring injury rates.
Eight of fifteen studies were at high risk of bias, and the estimate assumes the exercise is actually done — which in elite football it usually is not.
The implementation problem, in numbers: of 150 elite club-seasons, the programme was completed in full in 10.7% and partially in a further 6%. Proven efficacy has not become fewer injuries because the work is not being done.
Self-reported and covering 2012–2014 only; it measures completion of one programme rather than total eccentric loading by any means.
The foundational trial behind the FIFA 11+: a structured twenty-minute warm-up reduced overall injuries by 32%, overuse injuries by 53% and severe injuries by 45% across 125 clubs.
The pre-specified primary outcome — lower-extremity injury — did not reach statistical significance. The widely quoted reductions are secondary outcomes.
The FIFA 11+ reduces overall football injuries by about 39%, while its predecessor showed no demonstrable effect — the specific programme, not just 'a warm-up', is what matters.
All included trials were in recreational or sub-elite football; the 39% figure has never been demonstrated in elite professional squads.
Replaces the crude grade 1–2–3 strain with an MRI-based grade plus a site suffix, because where the tear sits — myofascial, musculotendinous or intratendinous — drives time out and re-injury risk more than how big it is.
Developed in elite track and field rather than football, and it competes with the Munich consensus system, so clubs using different classifications still cannot compare timelines.
The competing muscle injury taxonomy, separating functional muscle disorders from structural injury — a distinction that changes both the rehabilitation plan and the expected return date.
Expert consensus, and its coexistence with the British Athletics system is precisely why cross-club comparison of muscle injury data remains unreliable.
Playing on four or fewer recovery days raises injury risk — five of eight studies found higher match injury incidence in congested blocks — though injuries sustained then tend to cost fewer days.
Only eight eligible studies with inconsistent definitions of congestion and no meta-analysis, so the size of the effect, and how much is squad rotation, remains unresolved.
The study that made availability a boardroom metric: lower injury burden and higher player availability were associated with better league position and better European performance.
Association, not causation — better-run clubs may simply be better at both — but the relationship has held across a decade of the largest dataset in the game.
The baseline description of elite football's injury profile — roughly 50 injuries per squad per season, match incidence far above training, thigh strains the single largest category.
Predates a decade of change in calendar density, pitch surfaces and medical practice; the current benchmark is the 18-season update.
Getting a player back — the decision, the criteria and the real rates.
Return to play is a continuum — return to participation, return to sport, return to performance — and the decision is a shared, multi-factor risk judgement, not a single test a player passes or fails.
Expert opinion rather than graded evidence; it gives a decision architecture but no validated sport-specific discharge criteria, and nothing football-specific has superseded it.
Surgery does not equal return: 81% go back to some sport, 65% to their pre-injury level, and only 55% to competitive sport — and psychological response predicts who makes it back as strongly as physical function.
Pooled across many sports and surgical techniques rather than football, with variable follow-up and largely self-reported return status.
The most current structured rehabilitation pathway after ACL reconstruction, built around criterion-based progression rather than elapsed time since surgery.
A guideline synthesising evidence of mixed quality; several of its criteria thresholds are pragmatic rather than validated against re-injury outcomes.
Return-to-play benchmarks drawn from the women's elite club cohort — the first systematically collected timelines for a game that has been managed on men's data by default.
A young dataset with fewer clubs and seasons than the men's study, so estimates for less common injuries remain imprecise.
Concussion protocol, heading exposure and long-term neurodegenerative risk.
The current international reference for recognising, assessing and managing sport-related concussion, introducing the SCAT6 and SCOAT6 tools and a more graduated return-to-learn and return-to-sport pathway.
Consensus rather than primary evidence; the process has been repeatedly criticised for conflicts of interest arising from governing-body funding, and it explicitly declines to affirm a causal link between head impacts and CTE — a position several independent groups contest.
It defined sport-related concussion for a generation of clinicians and codified the SCAT5 and the six-stage graduated return-to-play protocol that most football federations still base their rules on.
Integrity note, verified: the first author, a former BJSM Editor-in-Chief, has since accrued seventeen retractions and expressions of concern on roughly seventy-eight further articles, for plagiarism and duplicate publication. Those retractions concern his single-authored editorials, reviews and letters — this consensus statement has not been retracted. We publish the distinction rather than bury it or overstate it.
The FIELD study: former professional footballers died from neurodegenerative disease about 3.5 times more often than matched members of the general population, with roughly a fivefold excess for Alzheimer's disease — while dying less often from common cancers and heart disease.
It measured no heading exposure at all, so it establishes an association with a football career rather than with heading; all-male, all-Scottish, dominated by eras with heavier balls. Funded by The FA and the PFA.
Risk rose with longer careers and was markedly higher for outfield players than goalkeepers — the closest thing football has to dose-response evidence implicating repetitive head impacts rather than the sport itself.
Field position is only a proxy for heading exposure; goalkeepers differ from outfield players in collisions, training load and body composition too, and no head-impact data were recorded.
An independent Swedish cohort replicated the elevated dementia risk and the outfield-versus-goalkeeper gradient, with no elevated risk in goalkeepers.
The effect is considerably smaller than the Scottish estimate, Parkinson's disease was actually less common among players, and all-cause mortality was slightly lower — the picture is more nuanced than 'football causes neurodegeneration'.
It replaced concussion grading scales with individualised, symptom-led assessment and introduced the SCAT3, moving the sport away from same-day return to play.
Same authorship-integrity caveat as the Berlin statement; its claim that effects typically resolve within 7–10 days has since been substantially revised in light of persisting post-concussive symptom evidence.
Competing in conditions the body was not built to compete in.
The current international template for competing safely in heat: environmental monitoring before and during events, ice, shade and cooling provision, acclimatisation and hydration protocols, and a field-to-hospital pathway for exertional heat stroke.
Consensus rather than trial evidence, and it deliberately stops short of a single universal cancellation threshold — which is precisely where football's policy inconsistency lives.
In hot, humid conditions elite teams did not cover less total distance or score fewer goals — they sprinted about 10% less and passed more accurately, self-regulating intensity to protect the shape of the match.
A single tournament with few matches in the high heat-stress category, no individual physiological data, and tactics confound any environmental reading — it describes behaviour, not health risk.
Growth, selection bias, specialisation and the academy years.
The foundational international position that youth development should be built around health, psychosocial wellbeing and long-term participation rather than early selection and early specialisation.
Consensus opinion, generic across sports, and now a decade old — it predates most of the bio-banding and academy-workload literature that operationalises its principles.
Players born in the first quarter of the selection year are systematically over-represented in national youth teams and elite club squads across Europe. Talent identification is measurably confounded by birth date.
It demonstrates the bias but cannot isolate the mechanism — physical maturity, coach expectancy or accumulated practice — and predates most modern academy structures.
Young athletes who specialise in a single sport carry an independent higher risk of injury and of serious overuse injury, over and above total training hours.
A US sports-medicine clinic sample rather than a football academy, with self-reported training exposure; its null finding on growth rate sits in tension with the football-specific maturation literature.
The rationale and method for grouping young players by biological maturity rather than chronological age — the paper most academy bio-banding programmes cite as their origin.
A conceptual review, not a trial: benefits for talent identification and injury reduction remain largely inferred, and the non-invasive maturity equations carry real prediction error at the individual level — which matters when the output is a selection decision.
Maturity status, training hours and playing hours together explained about 48% of the variance in injury incidence in an elite academy, with match play carrying roughly seven times the exposure rate of training.
Often over-claimed: once adjusted for training time, playing time, height and position, maturity status alone did not significantly predict injury incidence. Single club, boys only.
The specific evidence — and the size of the gap where it should be.
The first multinational injury benchmark for elite women's football: about 35 time-loss injuries per team per season, match injury rate nearly four times training, thigh muscle injuries most frequent — and ACL injury by far the most costly at a median 292 days lost.
Fifteen clubs over four seasons, so ACL burden estimates rest on relatively few cases and precision is limited.
The reference synthesis establishing that female footballers sustain ACL injuries at a higher rate than male footballers, with the difference concentrated in match play rather than training.
The authors themselves flag genuine controversy over the magnitude: the frequently repeated 'two to three times' figure is not stable across studies and several studies found no difference at all. Treat any single multiplier quoted publicly as contested.
Per hour of football played, women tear their ACL 2.2 times more often than men, and the gap holds across every level of the game.
Routinely mis-cited: because men played far more exposure hours in the included studies, the raw incidence proportion was actually higher in men, and matched-cohort comparisons showed no difference in relative risk. Heterogeneity was very high.
Across the available literature, menstrual cycle phase has only a trivial average effect on exercise performance — far smaller than popular claims imply.
The authors rate the overall quality of evidence as low, individual variation may be large even where the group mean is trivial, and almost no included study used hormonal verification of cycle phase. There is essentially no adequately powered evidence on cycle phase and injury risk in football.
The best single explanation of why the female evidence base is weak methodologically and not merely thin — and the standards any new study on female athletes should be held to.
Guidance rather than evidence; adoption across the field remains partial, so most newly published female-athlete research still falls short of it.
Only 34% of participants in leading sport and exercise science research were female; 6% of publications studied females exclusively and 31% studied males exclusively. This quantifies the gap women's football inherits.
Participant counts are skewed by a few very large epidemiological datasets, and it counts representation without assessing whether female data were analysed separately — so it likely understates the practical gap.
A rare same-club male and female comparison — and a useful corrective: overall injury incidence was 30–40% higher in the men, driven by contusions, even though the women's ACL burden was higher.
One club, one country, five seasons — the sample cannot settle the question, only complicate the assumption that women's football is uniformly higher-risk.
Four things football repeats with confidence that the evidence does not support. Published because the entries we do not flag then mean something.
The acute:chronic workload ratio became the default load metric in professional sport after 2016. It has since been shown that the acute period sits inside the chronic average, so the two are coupled by construction and will correlate even with random data. The critique is a mathematical argument, not an interpretation, and it has not been rebutted on its own terms.
What survives is the underlying idea: rapid change in load matters more than absolute load, and undertrained players are fragile. What does not survive is the specific number. If your club is still red-flagging players on a ratio threshold, you are acting on an artefact.
Read: Gabbett 2016 · Hulin 2016 · Impellizzeri 2020, 2021 · Lolli 2019 · Griffin 2020Paul McCrory, first author of the 2012 Zurich and 2016 Berlin concussion consensus statements and former Editor-in-Chief of the British Journal of Sports Medicine, has since accrued seventeen retractions and expressions of concern on roughly seventy-eight further articles, for plagiarism and duplicate publication.
The retractions concern his single-authored editorials, reviews and letters. Neither consensus statement has itself been retracted, and the 2023 Amsterdam statement supersedes both. We state the distinction precisely because both the temptation to bury it and the temptation to overstate it are real — and because most football protocols in force today descend from that lineage.
Read: McCrory 2013, 2017 · Patricios 2023 · BMJ Group retraction noticesThe claim that female footballers tear their ACL two to three times more often than men is repeated constantly. The best meta-analysis reports 2.2 times per exposure hour — but in that same dataset the raw incidence proportion was higher in men, matched-cohort comparisons showed no difference in relative risk, and heterogeneity was very high.
The ACL burden in women's elite football is real and severe — a median 292 days lost per injury in the UEFA women's study. That is the finding worth acting on. The multiplier is the finding worth quoting carefully.
Read: Montalvo 2019 · Waldén 2011 · Hallén 2024 · Larruskain 2018The Nordic hamstring exercise roughly halves hamstring injury rates. Across 150 elite club-seasons, the programme was completed in full in 10.7% of them. Meanwhile hamstring injury has risen from 12% to 24% of all injuries in men's professional football over two decades.
This is not an evidence problem. It is an implementation problem — which means it is a leadership problem. The most valuable research question in football medicine is no longer what works, but what makes a club actually do it.
Read: Petersen 2011 · van Dyk 2019 · Bahr 2015 · Ekstrand 2023A manifesto states what we believe. A constitution states what we are bound to do — particularly when it is commercially inconvenient.
These articles govern what the Institute publishes, who it accepts money from, and how it labels the difference between evidence and opinion.
The Institute exists to advance football through better understanding and better decisions. It does not exist to sell technology, to represent a vendor, to promote a methodology for commercial gain, or to flatter any club, federation or company.
The Institute accepts no funding, sponsorship, equity, or commercial relationship that could reasonably be understood to influence its published conclusions. Where any relationship exists, it is disclosed at the top of the work, not in a footnote.
Every claim published by the Institute is labelled by its epistemic status. Readers are entitled to know the difference between what is demonstrated, what is observed, what is inferred and what is believed — and to disagree with the last three.
Football exists for people. The players are not assets, the staff are not resources, and the supporters are not an audience segment. Any recommendation that improves a number while degrading a person is rejected by this Institute regardless of its efficiency.
No intelligence is analysed in isolation. Findings in performance must be tested against medicine, findings in medicine against psychology, findings in technology against leadership. Connected problems require connected inquiry.
Complexity is not a sign of rigour. If the work cannot be explained to an intelligent person inside football in plain language, the work is not finished.
The Institute optimises for relevance in ten years, not attention in ten days. It does not chase news cycles, does not publish for volume, and does not measure its success in impressions.
Every claim we publish is labelled by what kind of claim it is.
The departments behind the papers. Individuals are named only where the role is verified on the organisation's own current page.
Runs the UEFA Elite Club Injury Study and its women's counterpart — the largest homogeneous injury database in professional football, with roughly 22,000 injuries across more than two million exposure hours since 2001.
Prof. Martin Hägglund leads the group; Prof. Jan Ekstrand founded it and remains its long-standing principal investigator.
Visit →Founded 2000. Research on risk factors, injury mechanisms and prevention, with football among its three priority sports. Origin of the OSTRC Questionnaire on Health Problems, now the standard method for capturing overuse injury burden worldwide.
Chaired by Prof. Roald Bahr and Prof. Lars Engebretsen. A FIFA Medical Centre of Excellence and one of the original IOC research centres.
Visit →Clinical sports medicine, orthopaedic surgery and scientific support for elite athletes, alongside a substantial research programme in hamstring and groin injury, return to play, and heat.
Prof. Marco Cardinale is Executive Director of Research and Scientific Support. Publishes the Aspetar Clinical Practice Guidelines free to practitioners.
Visit →Integrated diagnostics, treatment and rehabilitation for injured athletes across orthopaedics, sports cardiology, neurology and psychiatry, with clinical partners in professional football.
Led by Hans Tol, Gino Kerkhoffs and Vincent Gouttebarge. One of the eleven IOC research centres.
Visit →Established 2013. Implementation research — the discipline of why proven prevention programmes are not actually used, which is football's central prevention problem.
Coordinated by Prof. Evert Verhagen.
Visit →The successor to F-MARC, which ran from 1994 and produced the FIFA 11+. Operates a published medical strategy across 211 member associations, an accredited network of Medical Centres of Excellence, and the FIFA Medical Network education platform.
Dr Andrew Massey is Director of the Medical Department.
Visit →Sets medical policy for European competition and commissions the Elite Club Injury Study. UEFA separately funds independent research through its Research Grant Programme and its Medical and Anti-Doping Research Grant Programme.
Chaired by Prof. Tim Meyer, with Dr Charlotte Cowie as Deputy Chair.
Visit →One of the world's leading applied football physiology groups — nutrition, muscle metabolism, carbohydrate periodisation and training load.
Visit →Holds the Premier League academy injury, illness and growth surveillance programme. Strength in growth, maturation and bio-banding.
Prof. Sean Cumming is a leading authority on maturation and bio-banding in academy football.
Visit →Runs national-team medical provision and commissions large-scale football research, including the FIELD study into neurodegenerative disease in former professionals, co-funded with the PFA.
Dr Charlotte Cowie is Head of Performance Medicine.
Visit →Read the source rather than our summary of it.
The journal of record for football injury epidemiology. The UEFA studies, the surveillance consensus statements and the prevention literature all appear here.
Sports MedicineSpringerWhere the systematic reviews and meta-analyses land — including the load-management dispute.
Science and Medicine in FootballTaylor & FrancisThe only title dedicated exclusively to the sport. Launched 2017.
The American Journal of Sports MedicineSAGE, for the American Orthopaedic Society for Sports MedicineThe primary home of surgical and ACL outcome research.
Journal of Sports SciencesTaylor & FrancisPerformance, skill acquisition, talent identification and match analysis.
Aspetar Sports Medicine JournalAspetar, DohaPractitioner-facing and open access. Written to be used on a Monday morning.
Institutions whose published work appears in this library. Names only — no logos, by policy.
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