The Abacus and the Canvas - Luca’s Blog – Luca Cazzanti, Ph.D.

Can a winless season still be a success?

Reflections from a successful losing season coaching high school soccer

coaching

training

leadership

learning

“Success is not about winning trophies, it’s about making a positive impact on and off the field” - Mikel Arteta

Exploring soccer heatmaps from Tracab XML files with tfutils.py

tfutils.py is a Python library for reading and interacting with soccer data from Tracab XML files.

soccer analytics

python

tracab

heatmap

xml

A Tracab TF05 feed is an XML file that contains data about a soccer match. In particular, a TF05 feed provides various flavors of heatmaps of the two teams and of the…

Attacking corner kicks - A case study

A case study of attacking corner kicks by Spanish club SD Eibar.

set piece analysis

corner kicks

opponent report

pre-match report

soccer analytics

DartFish

I briefly present the structure of a typical analyst report about an opponent’s attacking corner kicks in soccer. Then, I walk through an example of this type of report…

Effectiveness and location of pressure actions in soccer

Exploring the relationship between winning record, high-press, and pressure effectiveness.

soccer analytics

high-press

In this activity I explore the relationship between team performance and team pressure behavior using data from the English Premiere League season 2020-2021. I focus on…

Confidence intervals for Gamma distribution parameters

Estimating the confidence intervals of the paramters of the Gamma distribution from data.

statistics

estimation

gamma

I use visualization and bootstrap to obtain empirical confidence intervals for the estimates of the \(k\) parameter of a Gamma distribution. I consider the dependency of the…

Know your questions

Recognizing the types of questions you are asking throughout a data analysis project.

data analysis

Articulating precisely the question you are asking of the data gives clarity and focus to your data analysis. A complication is that often a data analysis flows through…

Merging sensor data streams with Python generators and priority queues

How I used Python generators to process streaming data from maritime sensors.

sensors

streaming data

python

generators

A recurring task in multi-sensor data processing is merging – or interleaving – data from multiple sensors while maintaining chronological order. For example, you may be…