Tag: athlete recovery

  • When to Increase Training Load… and When to Wait

    When to Increase Training Load… and When to Wait

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    American Neve Gerard (l) leads athletes from other countries at an International Training Camp in August, 2024, in Sjusjøen, Norway. (Courtesy photo)

    As this ski season wraps up, many of us coaches are doing similar work. Using spreadsheets or a popular training platform, we map out training for the year. We plan the yearly hours, monthly hours, and weekly hours, along with defining the training intensity distribution. We also plan how long and over-distance sessions should be, and maybe how much high-intensity training we should include, etc.  I have done the same in the past.

    Nowadays, my yearly plans include almost none of those things, but rather it is a general road map of how I might want the training loads to progress, what type of high-intensity, neuromuscular work, strength training focus, technique development, training camps, testing sessions, and a general concept of where we start in April or May. We must be able to adjust training on the fly based on an assessment of how athletes’ recovery and adaptation, week to week, with the training and developing fitness.

    In this article, I want to make a case for the changes I have made. Why? Because these detailed hours and training-intensity distribution plans we make are about as good as the day they were written. We then must avoid the temptation to implement training in May, June, or July just because we wrote it down in April. There is no way we can anticipate in April how an athlete will respond to training next month, much less than 2-6 months down the road.

    In discussion with many athletes and coaches I have consulted with in the last four to five years, I believe the biggest challenge faced is how and when to increase training load within a training year. For reference, I use TRIMP to define the metabolic load. TRIMP is described as a modeled internal-load metric or composite index based on exercise duration and HR-derived intensity weighting. TRIMP is not perfect because it is based on heart rate parameters, so power and strength training, mechanical loads are not accounted for. I find TRIMP an excellent proxy for the loads of all endurance training.

    Bates College getting after some dryland in 2024. (Photo: courtesy photo)

    Others simply use hours to plan and measure the loads. The challenge is difficult when just looking at hours, how to compare an hour of easy training versus an hour of hard training. Then, looking at percentages of time in zones or with other training methods does not define the load or focus the training on the desired adaptation.

    I am not going to address the year-to-year increases simply because all the assorted tables recommending volume of training at an age are based on population averages. The goals of the athletes, the athletes’ training age, training history, and many other potential factors. Just assigning training based on a table is foolish without considering these other factors. In most cases, athletes will train enough if the right principles are followed.

    When we are coaching athletes, we should only increase loads because of improved fitness not in an attempt to drive fitness gains. The decision to increase loads should come from evidence that the athlete(s) have absorbed the current load, not simply because it is a new month and the plan calls for a month-over-month increase. I believe that in the past we have used templates or models that have called for big month-to-month increases. The basis of building fitness is consistency and adaptation to the training. In many cases, we can go as long as 2-3 months at a very similar or very small increase in load.

    I am far from certain how coaches plan training these days, but others and I in the past have planned training based on monthly and weekly hours. In my days, I used to start in May with 50 hours, and by November, I was training more than 100 hours. Then the weekly progression within those months might go 12 hours, 14 hours, 16 hours, 10 hours or something like that. Even back then, how does a 50-hour month prepare you to do a 60-hour month, how does a 12-hour week prepare you to do a 14-hour week? What I learned more than 30 years ago. It doesn’t work that way; even if an athlete completes that kind of protocol, it does not mean it worked; it just means they survived it.

    The research and experience suggest that higher monthly volume and small periodic increases are better for building long-term fitness and performance, with far less risk than the typical plans that ramp up training with increases of 10-15-20% per month. Many old-school thoughts persist that we must increase volume to stimulate further improvements. That is an invalid belief and has been shown to be in much research and analysis. If we are in fact building fitness, we are moving faster at every intensity. Isn’t that already an increase in load? Recruiting more muscle fibers and motor units aerobically, improving mitochondrial density and function,  improving aerobic enzymes in more muscle fibers, among other aerobic adaptations.

    Fin Bailey works on uphill technique at training camp. (Photo: courtesy photo)

    I look for three layers of signals: performance stability, physiological response, and behavioral cues.

    The stability of performance in training is easily measured with simple technology, such as heart rate and GPS. Prior to increasing loads, the athlete should show improvement or stable performance in workouts. The aerobic training sessions should feel consistent and easy, with very little or no heart rate drift through the workouts. So, a simple training session once a week, once every two weeks, around a standard loop, both for high-intensity and aerobic training, can tell us much.

    The key workouts should show repeatable performance levels from week to week. The pace athletes can maintain at aerobic intensity should gradually and slowly improve, and the technique should stay stable and efficient throughout the workouts.

    Indicator What it suggests
    Same HR but faster pace, HRV is improving Aerobic adaptation
    Same workout feels easier, HRV is stable or improving Load is absorbed
    Ability to repeat intervals without extra fatigue Ready for progression
    If workouts are still producing large fatigue swings, the system is still adapting and increasing load is premature.

     

    As I have written previously for FasterSkier, older junior ( U18’s) athletes, masters, and elite athletes, I think it is important to use HRV to assess recovery. Using HRV, we can see whether the athletes are recovering predictably between sessions. We can see the stability or improving response their training, and we can assess whether the training loads are sustainable.

    Useful signals:

    • Resting HR stable
    • HRV 7-day trend stable or improving
    • Sleep quality normal
    • Muscle soreness minimal after aerobic sessions
    • The data and the athlete reports feeling normal again within ~24 hours

    If recovery between sessions is incomplete, increasing load compounds fatigue rather than builds fitness. The rush to hit hourly objectives and the failure to respond to accumulating fatigue are the biggest causes of maladaptive training.

    The critical question HRV can help to address. Are the current loads the athlete is doing correct? HRV, especially RMSSD trends collected consistently, can help flag whether an athlete is tolerating training well. But HRV should be interpreted alongside performance, subjective recovery, resting HR, sleep, and life stress rather than used as a standalone decision rule. In some cases, this may mean adjusting other areas of life; in others, we may simply have to reduce the training loads. Simply low HRV indicates a compromised ability to recover from and adapt to training

    A good indicator of readiness is the athlete’s ability to handle training density. Most athletes should have at least one rest day per week. During a training period, the athlete should be able to handle 3-5 moderate training days in a row without feeling accumulated fatigue, and the quality of workouts remains normal and stable.

    The occasional longer sessions should not disrupt the next day’s planned training, and recovery should be normal the following day. If an athlete is doing double sessions, the second session of the day should not be carrying excessive fatigue from the morning session, and the quality, speed, pace, or intensity of the second workout should be consistent.

    When the athlete’s readiness and physiological measures indicate that an increase in load is appropriate, there should only be a slight increase in volume. Make a few sessions per week a little bit longer, followed in the future by adding a workout or two per week

    Training load should only increase when the muscles and connective tissue are tolerating the training. If there is persistent tendon soreness, joint irritation, muscle tightness, or recurring niggles are common, it is not appropriate to increase the loads. Aerobic fitness improves faster than structural durability, which is why injuries often appear right after a volume jump.

    We also need to be aware of and watch for behavioral cues in the athletes, not just the recovery and performance data. We should look for the athlete’s motivation to train and their assessment of the RPE (rating of perceived exertion) for a given workout. If the perceived exertion of a given workout is increasing, it is not a positive signal. Finally, we should ensure that athletes’ nutrition is good, and their body weight is stable.

    As a practical guideline, I would recommend increasing load only after a period of 3-6 weeks, where we can see stable adaptation and improvement in training and recovery measures. When we look at elite training, we always see the training progression is often much slower than people expect.

    JC Schoonmaker and Luke Jager training in Anchorage, Alaska back in 2023. (Photo: Brinkema Brothers)
    Training Phase Progression Pattern
    Base Phase +5–10% volume every 3-6 weeks, but only if all inputs are positive.  If using TRIMP or Training Peaks TSS the load increase should never exceed 15-20%
    Race Prep Phase Maintain a stable volume, intensity increase slowly from the base phase
    Competition phase Volume and Training load decreases slightly; intensity is maintained or increased due to race load.

     

    As useful guidelines for coaches. If a training day or a week feels heroic, it is too big. Most likely, all the heroic training did was build fatigue and greatly slow recovery and adaptation. Sure, the athlete can do it occasionally, but it in no way means the load improves fitness or performance, or that the athlete adapts to it. My rule of thumb is that the longer it takes for an athlete to recover from a workout, a week, or a month of training, the less adaptation that is possible. When I shared this comment regarding high-intensity workouts with Zach Caldwell, I asked him when we should adapt to them. His response was Thursday! Not next Thursday, not a Thursday next month. Thursday!

    An effective training progression should feel well-tolerated for weeks. Fitness improvements are built on consistent, manageable weeks. Where the fitness is developed through compounded training, not the occasional massive week. I have seen it repeatedly, it is big increases in training load, too much, too soon, that ultimately leads to declining performance and overtraining. Sure, elite athletes train massive weeks, but to get there, they adapt to training every year, step by step.

    Increases in training load should be almost invisible over weeks and months as athletes develop. Over the years of training, the increases are clearly visible and large.

    In summary, increase training load when:

    1. Current workouts are repeatable and controlled
    2. Athletes recover following training days, normally within ~24 hours
    3. No structural soreness or injury signals
    4. Motivation and energy are normal
    5. This training performance has improved, and recovery has been stable or improving for 3-6 weeks

     

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    French athletes Lucas Chanavat (left) and Maurice Magnificat (right) out for a rollerski during a training camp in Tignes. (Photo: NordicFocus)
  • Using Heart Rate Variability to Guide Training

    Using Heart Rate Variability to Guide Training

    This article was made possible through the generous support of our voluntary subscribers.  If you value coverage like this, please support FasterSkier with a voluntary subscription.  

    Training by the numbers: heart rate, exertion levels, weekly/yearly hours, and lactate monitoring are all part of the system that guides the training of Stifel US Ski Team Sprinter, Jack Young. (Photo: Courtesy Photo)

    In my coaching and consulting work, I get a lot of questions about using heart rate variability (HRV) to guide training. This is a follow-up to a previous article, where I want to move from theory to practice and show how HRV has been one of the most valuable tools I’ve used to assess recovery and adaptation in endurance athletes.

    There is no shortage of research documenting the value of HRV in endurance training. That’s well established. What matters to me is how it works in coaching practice. In my experience, HRV is especially useful for helping athletes avoid the most damaging downsides of poorly implemented training. Most of the big performance issues I have seen over the years could have been avoided with the use of HRV.

    Over the years, I’ve collected long-term HRV data on many athletes, some spanning close to ten years. The example I’m using here covers nearly four years and serves as an excellent illustration of how HRV reflects training implementation, adaptation, and the consequences of training changes over time. This athlete was 50 years old at the start of the data set, but I’ve seen the same pattern in juniors, elites, and masters’ athletes alike. The trend is the same; only the absolute HRV values differ.

    Most of the athletes I’ve worked with over the past 15–20 years arrived with either inconsistent training or worse, chronic over-training. In this example, training lacked consistency and relied too heavily on endurance work performed at intensities that were simply too high. To be clear, many of the long-term problems I’ve seen, performance stagnation, recurring illness, persistent fatigue, would have been obvious much earlier had HRV been used properly.

    The chart below shows an overview of the data, collected using a Firstbeat sensor and analyzed through the Firstbeat Sports platform. With improved training structure and better implementation, this athlete’s RMSSD baseline steadily increased:

    • 2022: ~45 ms
    • 2023: ~55 ms
    • 2024: ~65 ms
    • 2025: ~75 ms

     

    For anyone familiar with HRV, these are substantial improvements. From a health and wellness perspective, they’re meaningful. From a performance perspective, they’re even more telling. Population data suggests that an RMSSD of around 75 ms is very good for someone in this age group. Performance metrics tracked alongside this, ski erg tests and six-minute roller ski tests, showed parallel and consistent improvements over the same period.

    Some people will point to what looks like large day-to-day variation in the data. Yes, the coefficient of variation can appear wide at first glance. In athletes with low or suppressed HRV, I often see variability in the 20–30% range. As fitness and autonomic stability improve, that typically narrows to the 10–20% range. So, while the spread may look dramatic, it’s often exactly what we expect. Larger variability usually reflects poor training implementation or an athlete drifting toward an overtrained state.

    I’ve seen this same pattern repeatedly in underperforming and overtrained athletes, at both junior and elite levels. HRV is often much lower than expected. When training and recovery are corrected, athletes frequently feel better before their HRV confirms they are ready to resume normal training. This is a critical point. Returning too early, before HRV plateaus, is a common mistake. When training is reintroduced with proper control, HRV not only stabilizes but often continues to rise beyond previous levels.

    Population-level HRV data can provide useful context. There will always be individual differences, but these ranges help determine whether an athlete is operating in a reasonable zone for their age. In practice, well-trained endurance athletes often sit above the “high” end of population norms. I’ve coached athletes in their 20s with RMSSD values consistently in the 110–120 ms range. The same 50-year-old athlete referenced here now sits closer to 75–80 ms.

    Normal Resting RMSSD Ranges by Age

    (Morning, seated or standing, ECG-based measurement)

    Age Low / Suppressed Typical / Normal High / Very Good
    <20 <50 ms 60–90 ms >90 ms
    20–29 <40 ms 50–80 ms >80 ms
    30–39 <35 ms 45–75 ms >75 ms
    40–49 <30 ms 40–65 ms >65 ms
    50–59 <25 ms 35–60 ms >60 ms
    60–69 <20 ms 30–50 ms >50 ms
    70+ <15 ms 25–45 ms >45 ms

    To make HRV actionable, the data must be analyzed correctly. I typically use a seven-day acute average of RMSSD and establish a normal range using a standard deviation of ±0.5 over a two- to three-month period. When training is well implemented, we expect to see a gradual upward drift in HRV. Eventually, HRV will reach a physiological ceiling, and further increases won’t occur unless the athlete is recovering from illness, injury, or prior overtraining.

    In a healthy training state, the acute HRV average should remain within that normal range. If it drops below, the first step is always context: life stress, sleep, travel, illness, or recent training load. Sometimes it’s a conversation. Other times, it’s an immediate adjustment to the plan.

    Daily fluctuations are normal. Hard sessions or unusually long workouts often cause short-term drops in HRV, and that’s not a problem provided values don’t fall well below baseline. What matters is the seven-day trend and whether that trend begins drifting downward.

    Chronic suppression tells us several things:

    • the autonomic nervous system is not recovering
    • training stress exceeds adaptive capacity
    • intensity distribution is likely wrong, even if volume looks reasonable

    This is where HRV is most powerful. It catches problems early, before performance falls apart. Large single-day drops can also flag oncoming illness or signal the need to review the previous few days of training.

    HRV often exposes poor intensity distribution long before performance declines. Athletes can hold things together for surprisingly long periods while autonomic stress accumulates underneath. HRV shows that the effects  early, particularly in athletes doing too much work in the higher intensity zones.

    This is especially relevant for junior and masters’ athletes, where recovery margins are smaller and the consequences of mistakes are greater.

    I will not increase training load, weekly or monthly unless the acute HRV is at baseline or higher (the midpoint of the error bars). This is one of the most common issues I see when consulting with athletes and coaches: loads are increased according to the plan, not according to how the athlete is recovering and adapting.

    JC Schoonmaker and Luke Jager training in Anchorage, Alaska. (Photo: Brinkema Brothers)

    Both experience and research are clear here. Increasing load or adding high-intensity work when HRV is suppressed does not lead to adaptation. I’ve worked with athletes whose acute RMSSD dropped 20–30 ms below normal for weeks or months, with the expectation that a short taper would fix it. At that point, the system is deeply suppressed. It often takes weeks or months for the nervous system to normalize and for performance to follow.

    RMSSD is a valid marker of systemic stress. When HRV is low, the body is not positioned to recover from or adapt to training especially high-intensity work and racing. The daily process to collect and review this data takes less than 15 minutes.

    The protocol is simple. The athlete wakes up, uses the bathroom if needed, then puts on a chest strap and sensor. In a seated or standing position, they remain still for a minute to allow heart rate to stabilize, then complete a three-minute test. I discourage optical sensors for HRV; they do not provide true ECG-based data. Sitting or standing introduces a mild orthostatic stress, which reduces variability and improves readiness assessment. We used supine testing for years and found far greater noise.

    Use reliable software, Firstbeat, Kubios, or one of Marco Altini’s phone-based applications to analyze the data. I export everything to Excel to dig deeper into respiration, coefficient of variation, and resting heart rate.

    If the goal is to prepare athletes optimally, manage recovery, and understand when they are truly positioned to perform, HRV is not optional. It’s inexpensive, easy to use, and one of the most valuable data streams we can collect.

    HRV doesn’t make training smarter.
    It is exposed when we aren’t smart already.

     

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    Bates College skiers getting after some dryland training.