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From the College Athletics edition of September 13, 2026

Academic researchCautionaryRecent

Soccer review finds injury-model evidence insufficient for routine deployment

Aslani, Zarei, Yaghoubitajani and Malekahmadi · Higher education athletics · International; transfer to U.S. collegiate soccer requires local validation

Publisher
Journal of International Medical Research / SAGE
Original publication
July 20, 2026
Source retrieved
2026-09-14
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What happened

The review questions whether discrimination results demonstrate practical injury-prevention value.

Why it matters

Relevant methodological scrutiny for collegiate soccer; predominantly male professional evidence is not collegiate effectiveness evidence.

Evidence and measured results

The review searched through October 2025 and included 22 studies. PROBAST rated 17 high risk, four unclear and one low risk. Heterogeneity led to narrative synthesis.

Limitations and uncertainty

English-language restriction, variable injury definitions and predominantly male professional cohorts constrain transfer. The review does not establish prevention benefits.

Put this evidence to work

Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-09-14; this does not change the original publication date. Labels below come from the analysis itself.

Sales

Role takeaway

Position a bounded evidence audit for athletic departments comparing injury-risk products. Include sports medicine, procurement, athletics IT and athlete representatives. Ask vendors which cohort, outcome definition and decision threshold support their claims, and ask customers what error costs matter locally. The value hypothesis is a more defensible purchase decision and realistic staffing estimate. Scope the engagement to one sport and one intended decision, with an evidence register and go/no-go recommendation. Do not convert professional-soccer model scores into projected collegiate injury reductions, financial returns or a claim that one algorithm is universally superior.

Pre-sales engineering

Role takeaway

Require an evaluation harness that preserves player and time boundaries, supports regression baselines and produces calibration plots and threshold-specific errors. Agree outcome definitions with clinicians before extracting records. Validate the deployed version with local data under institution-approved storage and access controls; select hosting only after reviewing integration and retention needs. A proof of value should test whether staff can act on alerts within available capacity. Keep failed or uncertain predictions visible. The transfer test must match the intended collegiate population; performance from another league should not be treated as an acceptance result.

Delivery

Role takeaway

Begin with a sports-medicine-led inventory of decisions, data sources and review capacity. Pair a statistician with the implementation team and train coaches on uncertainty and escalation. Use a governance checkpoint before any score reaches a participation decision. Proposed acceptance criteria include a signed outcome dictionary, reproducible independent evaluation, documented calibration, complete override logs and review of subgroup uncertainty. Thresholds and sample sufficiency should be agreed before the pilot. These are proposed controls, not study outcomes. Stop expansion if outcome ascertainment is unreliable or alert burden exceeds the locally agreed limit.

Implementation considerations

Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.

Architecture and integration

What must connect, and where does the AI sit in the workflow?

Require validation artifacts alongside deployment code, including leakage checks, calibration and baseline comparisons.

Governance

Who approves, reviews and stays accountable for outcomes?

Document who may interpret a score and who can overrule it before testing.

Security and privacy

What data, permissions and controls need testing?

Evaluation access should be role-limited; retain only approved variables and separate identifiers.

Accessibility and workforce

Who is affected, and what skills or accommodations follow?

Budget statistical and clinical review skills; supply understandable explanations and accessible athlete feedback.

Procurement

What should contracts, pricing and exit terms secure?

Make independent validation and correction procedures contractual acceptance items.

Operating model

Which teams own the service once it runs?

Use a clinical owner and recurring model review. No direct evidence here for administrative copilots, developer agents or facilities.

Publication history

  1. 2026-09-13College Athletics · Issue 082 resources
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Stable resource ID: aslani-football-injury-prediction-review-2026