Baseline Testing for Early Season Programming

Why Baseline Testing Is Important

In elite sport, success is built on precision. Nowhere is that more critical than in the transition from off-season to preseason, a period where performance and injury risk are both peaking. For strength and conditioning coaches, sports scientists, athletic trainers, and performance directors, this window demands a level of insight that guesswork can’t deliver. This is where baseline testing becomes essential.

A Foundation for Individualization

At its core, baseline testing establishes the objective starting point for every athlete in your program. Whether they’re returning from injury, coming off a full off-season program, or arriving deconditioned, your athletes enter the building in vastly different states. Testing creates the clarity needed to tailor programming by individual, not assumption.

A vertical jump might reveal a drop in concentric force. Sprint times could show acceleration asymmetries. A groin squeeze test may uncover underlying instability. Together, these markers allow coaches to adjust loading schemes, modify technical drills, or build individualized return-to-play plans.

Without testing, these decisions rely on observation and instinct. With testing, they’re anchored in data. A Science for Sport article on Chelsea FC’s preseason testing strategy outlines how their performance staff assesses neuromuscular fatigue, force asymmetries, and physical readiness on day one.

Aligning Departments Around a Common Language

One of the most overlooked benefits of baseline testing is that it aligns the entire performance department. Each unit of strength & conditioning, sports medicine, sport science, nutrition, and coaching comes with its own language and lens. Baseline testing provides the objective data set that everyone can reference.

Take, for example, a midfielder flagged with below-average aerobic fitness and low neuromuscular power. The S&C coach adjusts conditioning blocks. The nutritionist increases carb intake. The sport scientist tracks fatigue trends. The athletic trainer layers in prehab for prior injury risk. And the head coach tempers early-season workloads. One data point, five actions, all coordinated.

This shared visibility prevents siloed decision-making and elevates the level of care an athlete receives.

Injury Prevention and Athlete Availability

The early preseason period is one of the highest-risk windows for soft tissue injuries. Why? Because athletes are rapidly increasing training volume and intensity after a relative off-season, often without sufficient load monitoring. Baseline testing helps mitigate this spike by identifying red flags before they turn into injuries.

• Athletes with asymmetrical jump profiles can be flagged for lower limb screening.

• Low groin squeeze scores may lead to reduced exposure to lateral cutting.

• Decreased sprint times can prompt a taper or modified running dose.

As Catapult notes in their “Four Elements of Preseason Success,” establishing an evidence-based starting point is critical for injury risk management and session design. Similarly, VALD emphasizes that the early weeks of preseason present an ideal window to track fatigue and performance adaptations to ensure appropriate exposure.

Performance Optimization

Baseline testing isn’t just about injury prevention; it’s also the launching point for performance enhancement. By understanding each athlete’s unique profile, you can tailor blocks that develop the right qualities at the right time.

For example:

• A power athlete with a strong RSI but low aerobic capacity may benefit from repeated sprint conditioning early in preseason.

• A sprinter with high peak velocity but poor acceleration might start with resisted sprint work and technical drills.

• A tall, late-maturing high school athlete may show solid strength but poor jump mechanics and be placed into a low-load movement prep block before progressing.

These aren’t guesses. They’re strategic decisions based on real-world data.

Return-to-Play Calibration

For athletes returning from injury, baseline testing serves as both a starting point and a benchmark. By comparing current outputs to historical norms or to positional averages, staff can determine readiness and progressions more confidently.

This isn’t limited to elite pro settings. Even at the college and high school levels, using simple testing like jump asymmetry or groin squeeze data allows you to remove guesswork from RTP and protect athletes from reinjury.

“Athletic development is complex. Baseline testing should be a meaningful first step that organizes and clarifies variables, identifies rate-limiters, and moves the needle on performance.”

—Geoffrey Ebbs, Northeastern University

Case Study: University of Nebraska

When Hayden Jones, Assistant Strength Coach at the University of Nebraska, relied on spreadsheets, baseline testing data often sat unused because applying it to programming was too time-consuming. FYTT changed that by automating athlete grouping based on test metrics like jump performance, range of motion, and strength assessments. This automation let Hayden instantly modify workouts for clusters of athletes, streamline recovery and RTP adjustments, and communicate insights clearly to sport coaches. The result: faster, more efficient programming, higher athlete engagement, and the ability to use testing data to drive real-time training decisions — all while freeing up time to focus on research, strategy, and long-term athlete development.

Baseline Testing Best Practices

If Section 1 explains why baseline testing matters, this section outlines how to execute it with precision, consistency, and impact. Testing is only as valuable as the decisions it influences, and decisions are only as strong as the data they’re based on. That’s why planning, execution, and alignment are critical.

Ask First: What Will This Test Tell Us?

Before choosing any metric, your staff should collectively answer one question:

What do we want to learn and what action will we take with this data?

Many teams test too much and apply too little. A 40-metric battery won’t help if no one is using the information. The key is to align tests with actionable outputs.

Here’s a simplified decision tree:

• If an athlete scores poorly, will it change how we program their training?

• If an athlete excels, will it affect their loading or conditioning?

• Does this test support decisions across multiple departments (S&C, ATC, sport science, nutrition)?

If the answer is “no,” drop the test. If “yes,” keep it and define exactly how it will be used.

Build a Core Testing Battery

The best programs develop repeatable, efficient testing systems centered on the sport’s demands and the staff’s capacity. Here’s a modern, scalable example:

This battery can be completed in 60–90 minutes for a full squad when split across stations.

Execution: How to Run an Elite Test Day

Testing should feel seamless, not like a disruption to training. A typical setup:

Before Arrival:

• Pre-load rosters and previous data

• Assign athletes to groups (by jersey #, position, etc.)

• Review cueing and test scripts with staff

During Testing:

• Run warmups as part of the test protocol (e.g., CMJ comes after mobility)

• Use stations for jump, strength, and sprint tests

• Have clipboards, tablets, or phones to log and sync results instantly

• Keep athlete flow moving without downtime

After Testing:

• Upload results into a shared dashboard (e.g., FYTT)

• Auto-cluster athletes (e.g., CMJ asymmetry > 10% = “yellow”)

• Schedule debriefs with staff for results interpretation

Kinexon emphasizes that good test execution isn’t about tech; it’s about reducing lag time between insight and application. That starts with execution discipline.

Standardize Everything

Consistency is king. You can’t compare sprint data across time if one session is on turf at 6 a.m. and the next is on wet grass at 2 p.m.

Standardize:

• Surface

• Warm-up routine

• Equipment (e.g., same force plate or jump mat)

• Cueing language

• Time of day

• Recovery time between reps

The more repeatable your test environment, the more meaningful your trends.

“What I’m able to provide to my team is on a whole different level now. I can actually apply research and use my testing data instead of just collecting it. FYTT has truly changed the way I operate.”
— Hayden Jones, University of Nebraska

Timing & Frequency

Baseline testing isn’t a one-off. It should be part of a strategic calendar:

Some tests (like CMJ or wellness) can be repeated weekly for micro-trend monitoring. Others (like sprint or aerobic capacity) can be spaced monthly or quarterly.

Simplifaster advises that frequent, low-burden testing is better than occasional high-burden testing. CMJ takes 10 seconds. Why not use it weekly?

Athlete Engagement

Testing only works if the athlete engages. Give them:

• Context: “Here’s what this test tells us.”

• Feedback: “Here’s how you scored compared to last year.”

• Ownership: “Here’s how this changes your training block.”

When athletes understand the “why” behind testing, both their effort and your data quality improves.

Integrating With Technology

The final pillar of testing success is integration. Your results should feed directly into:

• Training load plans (daily/weekly)

• Return-to-play calendars

• Athlete development dashboards

• Nutrition and recovery plans

Tools like FYTT allow you to assign color-coded readiness statuses, auto-generate individualized plans, and share real-time dashboards across S&C, ATC, and coaching staff. This is where testing stops being information and starts being action.

How to Bring Your Performance Staff Together for Programming

Even the best baseline testing protocols mean little if they don’t lead to unified action. The real power of testing lies in how it connects your entire performance department: strength and conditioning, sports science, athletic training, nutrition, and coaching. The goal should be to have a complementary performance plan for the athlete with shared insight and collective purpose.

Here’s how to operationalize that collaboration.

Start With a Shared Dashboard

Once testing is complete, upload all results into a centralized system accessible to every department. Whether you use FYTT or another athlete management tool, this dashboard should include:

• Baseline values for all key metrics

• Readiness flags (green, yellow, red)

• Individual athlete notes (e.g., history, goals, limitations)

• Comparison to previous data or position group norms

This shared source of truth eliminates miscommunication and empowers every staff member to plan interventions in alignment.

Strength & Conditioning: From Test to Block

The S&C coach is often the first to act on test data. Here’s how to structure programming from day one:

• Neuromuscular Output (CMJ, IMTP)

  • Low RSI athletes get low-load plyometrics and concentric power blocks

  • High peak force but slow RFD athletes get velocity-based training with intent cues

• Speed and Acceleration Data

  • Athletes with poor 10m split get sled sprints and resisted acceleration work

  • High max-velocity but poor acceleration athletes do contrast and fly-in work

• Energy System Readiness

  • Low YoYo or 30-15 scores signal need for aerobic base (tempo runs, shuttle intervals)

  • High performers shift to repeat sprint or anaerobic capacity blocks

Example:

A college football athlete shows strong strength numbers but poor jump stiffness and YoYo endurance. Week 1 includes eccentric overload in the weight room and tempo intervals twice weekly — with no sprint exposure until week 2.

Sports Medicine & Athletic Trainers: Program for Prevention and RTP

Testing gives ATCs a roadmap for both prehab and reintegration. Use testing to:

• Flag asymmetries and assign corrective routines

• Set RTP benchmarks (e.g., groin squeeze > 90% of pre-injury norms)

• Build rehab progressions based on trend data, not timelines

Example:

A basketball player returning from hamstring strain shows acceptable sprint splits but lingering asymmetry in force plate CMJ. The ATC collaborates with S&C to delay max-effort sprint exposure until symmetry improves.

Sport Science: Load Management and Longitudinal Monitoring

The sport science team’s role is to monitor adaptations, not just collect data.

Use testing to:

• Flag negative trends (decline in CMJ, poor sprint times, high soreness scores)

• Detect readiness shifts and adjust workload (volume, intensity, frequency)

• Support the case for deloads or conditioning plan changes

Example:

By week 3 of preseason, four athletes show CMJ regressions and increased wellness fatigue scores. The sport scientist recommends a reduced lift volume and lighter field session for that cluster.

Nutrition: Fueling Programming, Not Just the Athlete

Nutritionists can use testing to inform:

• Energy system-specific fueling

  • Low aerobic test = carb-focused pre-training meals

• Recovery and hydration plans

  • High soreness = post-session recovery shakes or anti-inflammatory support

• Body composition goals

  • Athletes with low lean mass get protein timing strategies and nutrition education

Example:

After testing, three soccer players are flagged for low YoYo output and underweight status. The nutritionist provides customized recovery meals and monitors post-test energy availability.

Coaching Staff: Training Design and Strategic Planning

From head coach to technical assistants, the entire coaching staff must understand how test results affect early season programming.

Use testing to:

• Plan positional demands (e.g., don’t overload players with low readiness)

• Make game rotation decisions during preseason friendlies

• Coordinate minutes with S&C and ATC based on readiness markers

Example:

After testing reveals neuromuscular fatigue in 30% of the squad, the head coach modifies training intensity, shifts to technical work, and reduces scrimmage length for the week.

Weekly Integration Meetings

Best-in-class programs hold weekly interdisciplinary meetings to review:

• New test results (if repeated)

• Flags or trend concerns

• Programming decisions per athlete or cluster

• RTP status

• Upcoming exposure planning

This keeps all departments proactive and synchronized.

Final Word

Baseline testing doesn’t live in a spreadsheet. It lives in decisions.

When departments work together from a shared data set, early season programming becomes safer, smarter, and more individualized, which is exactly what elite sport demands.