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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.

Knowing 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.

This 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.

The 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.

Many 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.

Dodging 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.

An 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.