Try One Week On Us - Sign Up
The
Place
For
Cyclists
To
Learn
Effective
Training
"You can't just go headfirst into everything. So be smart, train a lot, and stay calm." - Tadej Pogacar¹
One Week On Us.
Introducing SandboxCycling, the only cycling training app that combines adaptive training with content from scientific and medical journals. We believe that if you train smart, you get the best results.
Sun
27
Determining Adaptations...
A scientific content application is useful because it empowers you to make the right decisions. It can inform what you eat - such as macronutrient ratios, meal timing, and protein types. It can inform you how to recover - such as when it's best for you to wear compression garments or how to indentify when your nervous system is overtrained. It can inform you how to train - how fast your body adapts to different intensities and how quickly your improvement pathways saturate.
Key takeaways from our carbohydrates article.
We bring you a broad range of important ideas per article. For example, if we write about body composition and nutrition we include how much a caloric deficit decreases your metabolic rate, how viscosity and weight contribute to fullness, and the relationship between protein intake and muscle protein synthesis.
Consider professional cycling team Visma-Lease a Bike². They employ over 25 coaches, nutritionists, and performance specialists. Last year, they won 18 UCI WorldTour races. Their success shows how science drives the best results.
Because we use multiple meta-analyses and systematic reviews in every paper we write, we offer you the highest quality information. Meta-analyses and systematic reviews are papers that analyze multiple studies, often more than 10 studies on a single topic, to draw conclusions.
Sources
[1] From this review.
[2] From this meta-analysis.
[3] From this meta-analysis.
[4] From this review.
[5] From this review.
Sources from our caffeine article.
We use machine learning to adapt your training plan based on your data. The quality of training algorithms depends on the quality of the training data and might not recognize macrocycles or seasonality. To address this, we use research from our articles to fine-tune our model. This helps us find simple solutions that AI models may overlook.
SandboxCycling is the only cycling training app that combines adaptive training with content from scientific and medical journals. That means it's hard to find a more effective training solution.
Try one week on us.
