Blog
Notes on programming and performance
Periodization, autoregulation and what the data actually tells you about an athlete.
Why spreadsheets break down at the second mesocycleA spreadsheet models a workout fine. It stops modelling a training plan the moment progression, autoregulation and multiple athletes enter the picture.How AI Is Changing Strength Coaching (And What It Means for You)AI won’t replace the coach. What it can do is surface patterns in your athletes’ data that you would miss by hand, and turn numbers into decisions.In-Season Strength Training: How to Make Athletes Stronger Without Burning Them OutIn-season, the goal is to maintain strength, minimize fatigue and maximize availability. Here is how to structure the week, pick exercises and know what to track.Exercise Spotlight: DeadliftWhy the deadlift matters, the coaching cues that actually stick, common mistakes, and how to progress and program it.Why Every Coach Should Track Load and FatigueProgramming has evolved, tracking hasn’t. What load really means, why fatigue stays invisible until it isn’t, and how better tracking leads to better decisions.What Is Periodization and Why It Matters for Every AthletePeriodization in simple terms: how training is organized over time, why it matters at every level, and the three main models coaches use.RPE vs %-Based Training: Which System Should Coaches Use?Percentages give structure, RPE gives autoregulation. When each one works best, where they fall short, and why most good coaches use both.Why Every Strength Coach Needs a Periodized Training System, Not Just a SpreadsheetA spreadsheet can hold a plan, but it can’t adapt when your athletes do. Why coaches move from templates to systems.