ExLib 1.2 – New Version is Available! We’re excited to introduce the newly updated version 1.2 of ExLib! Here’s what’s new: We’ve made it easier for you by linking exercise names directly, allowing for effortless copying and pasting into your Excel program or other software. By popular demand, we’ve attached the Excel training template featured in our Features and HowTo videos. The Jump tab has been enhanced with an equipment classification to better guide your training needs. This release expands our database to 1587 exercises across various categories including lower body, upper body, core ..read more

A Retrospective Examination of Machine Learning (ML) Techniques for Predicting Cycle Ergometer Peak Performance in a Clinical Setting of Cancer Survivors – Part 2 Previous Part: Click here to read the part one of this article series » Before we delve into the intricacies of the second part, let’s take a moment to review the key points from the first article in the series. Given the detrimental effects of cancer and its treatments on physical performance, there’s a pressing need for precise assessment tools to tailor exercise programs for survivors. Thus, the application of machine learning (ML ..read more

The Effect of Wearable-Based Real-Time Feedback on Running Injuries An increasing number of runners use wearables that provide real-time feedback. But is this feedback actually effective at improving performance and reducing injury risk? In two studies, we have attempted to answer these questions 12. In this blog, I will briefly discuss the effects of wearable-based real-time feedback on running injury risk. What did we do? We recruited 220 runners, and all runners received running wearables (pressure-sensitive insoles from ARION). The insoles are connected to an app that can provide real-time ..read more

Sprint Profiling – Common Problems and Solutions Part 3 Previous Part: Sprint Profiling – Common Problems and Solutions Part 2 Timing-gates / photocells or the analysis of the distance-time trace In this installment of the article series, we will discuss the use of the distance-time trace from the timing-gates (i.e., split times), as well as velocity-acceleration traces from GPS or LPS system. You might be wondering why do we need to discuss distance-time trace since we have already discussed the time-distance trace in the previous installment (LINK)? There are few rationale for this. The firs ..read more

The Effect of Wearable-Based Real-Time Feedback on Running Economy and Running Technique An increasing number of runners use wearables that provide real-time feedback. But is this feedback actually effective at improving performance and reducing injury risk? In two studies, we have attempted to answer these questions [1, 2]. In this blog, I will briefly discuss the effects of wearable-based real-time feedback on running economy and running technique. Why this study? First, why this study: Studies have shown lab-based real-time feedback to change running technique effectively but typically show ..read more

ACLR Post-Op Diary – Week 4 17-Dec-2022 Saturday (22nd day after surgery) Today I went to the new facility and did some single leg extension, since the machine was there. I went from 90 to 30 degrees (approx) without any weight. Then with 5, and eventually with 10 kg. With the right leg I did 4×10 with 45kg or something like that. I might be math freak, but when it comes to prescription, I am pretty lose here – it is important to be consistent and show trend. Doing isoSandwich or the badger protocol might also help to reduce too quick weight/load increments. The Badger Protocol The Badger or t ..read more

Sprint Profiling – Common Problems and Solutions Part 1 Introduction Short sprints (i.e., sprints without deceleration, usually <6sec) profiling represents a process of fitting a simple mathematical model (mono-exponential model – explained later) to the observed data with the aims of describing/summarizing, comparing, predicting, and hopefully making some intervention/causal claims. Process of model fitting, or in this case profiling, is an optimization process of finding the model parameters that best fit the data (i.e., minimize the error, most often the sum of squared errors, although o ..read more

ACLR Post-Op Diary – Week 3 10-Dec-2022 Saturday (15th day after surgery) Woke up around 8:00, after 10 hours of sleeping. Knee was painful in the morning, but after mobility on the foam roller (i.e., simple extension-flexion while holding foam roller under my ankle) sorted it out. I have removed the patches from my knee (@#fig-knee-patches). The scar and everything was clean and very tidy. Other complimented on the surgeon job (thank you, pun intended). Figure 1: Knee without patches After my pre-workout, went to the gym and you can see the workout below. I also managed to cycle! Hoooray. Th ..read more

The Best of Complementary Training in 2023 Reflecting on the year 2023, we’re excited to share the articles that resonated most with our community. These posts represent the best of sports science, technology, and practical insights from 2023. Dive in and discover why these made the top of the list! Using the GPS System in Soccer: Planning, Periodization & Load Distribution: Uncover the secrets of leveraging GPS technology in soccer training. This comprehensive guide provides a deep dive into planning, periodization, and optimizing load for peak player performance. Read More Markerless ..read more

Prescribing Strength Training for Team Sports – Part 8 In the last video of this series, I will introduce the concept of Modularity, which is quite handy in solving some practical puzzles. I will also discuss some ideas for phase-to-phase planning. Members Only! Join Us Today and Watch This Video » Go To Store Join Us Today About Mladen Jovanovic Mladen Jovanovic is a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which he considers his home town). He was involved in physical preparation of professional, amateur and recreational athletes of various ages in ..read more