The blog posts are tagged according to topic. The two main topics are presented below.
In case you have any specific interests or ideas for topics, let me know in the contact form.
NEUROSCIENCE: I will present both new and old research, as well as my own research, and concepts and theories within behavioural sciences and neurobiology.
SPORT & SPORTS SCIENCE: Among other things, I will present interesting aspects of exercise physiology and theory, training methods, and new and old research. I will also present methods for data analysis that I have used, both for performance analysis (strength, jumping, game analysis, etc.) and for physiological factors such as heart rate variability, which is of great importance for training response and recovery. Some posts will be updates regarding my own training and competitions.
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Explore the tactical evolution of dodgeball as single-ball attacks rise in popularity for their efficiency and precision. This analysis dives into the effectiveness of single- and multi-ball strategies, offering insights on when each approach works best. With a recent rule change impacting gameplay, dodgeball teams must now adapt to balance strategic flexibility and elimination potential. Read on to understand how these shifts are redefining dodgeball strategy.
Read MoreA quantitative pedagogical approach to the residency education in radiology. Data collection from 200 shifts worth of data, and basic analyses to gauge learning progression and gaps in knowledge and experience, as well as effect of Covid-19 pandemic on residency education.
Read MoreThrough an example I show some analyses that can be used to illustrate how a skill is learned.
It can be used to compare individuals, each person’s speed of skill learning, the expected time taken to reach a certain goal, as well as identify the optimal time for each training session.
Read MoreKnowing the number of balls the team has in possession is crucial information as it heavily influences how to plan an attack. I have calculated the expected number of eliminated players with each given ball possession, both for teams and for individual players, and show how these stats can be used by the playmaker to improve success when attacking.
Read MoreThis is the first post to go deeper into some more abstract data, and presents an analysis from the upper-most layer of analysis. I show how one can illustrate and quantify whether a player is capable of recognising when they have a good game, and make efficient use of it, and when they should back down.
Read MoreThe Swedish Mixed Team broke convention by playing a type of Blitz-Dodgeball during the 2019 Central European Championships, almost landing them a gold medal. In this post I explain how one can quantify playing speed, how a fast speed of play influences game outcome, and why it can be an important adaptive tactic to have in the team arsenal.
Read MoreMany aspects of dodgeball – such as positioning, decision-making, speed and agility, ability to read the game – are hard to identify, record, and analyse. These obscure, qualitative skills can be collected under the umbrella-term “Tactical Skill”.
Using a player’s point scoring and technical skill, one can calculate their tactical skill, and even use it to quantify total skill. The total skill may be used to allowing direct comparison between different players and can be used as an objective method for ranking players by their ability to score and win games.
Read MoreTechnical skill is a measure of a player’s ability to hit opponents and dodge incoming balls. One can estimate the technical skills of players by calculating their hit and defence percentages, and this measure has a high correlation with the ability to score points and win matches. Regression analysis indicates that throwing skill determines about 50% of how good a dodgeball player is, dodging ability determines around 25%, while the last 25% are determined by tactical skills.
Read MoreDodging and throwing are essential basic skills in the game of Dodgeball. They are the technical skills that determine how good a player is at scoring points for the team. This post outlines what determines each skill, and in particular how throwing relates to game outcome and other statistical parameters. What happens if you throw a lot? What happens if you don’t throw enough? How can you compare the point scoring efficiency or players? How can you compare attacking skill between players with different throwing percentages and number of throws? All of these questions are discussed in the post.
Read MoreIn this post I outline some of the statistics that I include in my Dodgeball analyses and hint at what these mean and how they can be used for further analyses and how they can guide decision-making regarding pre-game line-up selection and in-game playing tactics.
Read MoreAn outline of my data science approach to Dodgeball. I explain the data I’ve collected and the analyses I’ve done, which will be presented, together with results, in future posts.
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