Pablo Pilanski
2025In productionWork

Football Performance Data

For Alondras CF I built an end-to-end environment covering video and field capture, event processing and performance reports for sporting direction and the coaching staff.

My contribution
I built the event capture, processing and performance reporting system.
Who it serves
Alondras CF’s sporting directors and coaching staff.
Scope
Analysis from match video and field data through to team and player reports in Power BI.

Case overview

An end-to-end system for Alondras CF with video capture, event tagging and a three-page Power BI report moving from team performance to each player's detail.

Source
Power BI .pbix
Structure
3 pages · 38 containers
Views
Team, individual summary and dual filters
Privacy
Coherent synthetic season

Football performance report

Three views for tracking team performance, reviewing each player and crossing minutes with goals through independent filters.

Anonymized season

Overall stats

The rail keeps six indicators, the report's maximum matchday and its fixed league position. To the right, two separate time views distinguish goals for from goals conceded.

Goals for

Goals for: First half 7, Second half 2734Goals forFirst half: 7Second half: 27
Goals for: 0–15 2, 15–30 1, 30–45 4, 45–60 6, 60–75 12, 75–90 920–15115–30430–45645–601260–75975–9034Total

Goals conceded

Goals conceded: First half 7, Second half 2027Goals concededFirst half: 7Second half: 20
Goals conceded: 0–15 3, 15–30 3, 30–45 1, 45–60 6, 60–75 5, 75–90 930–15315–30130–45645–60560–75975–9027Total

Only 7 of 34 goals arrive before half-time. The team scores 20 away and 14 at home; P09 leads the internal tally with 9.

Report structure

Coaching staff can move from the full season to individual detail and filter minutes and goals with different criteria.

Coverage
Season, players, goals, minutes and discipline
Views
3 pages with 38 analytical elements
Filters
Venue, date and matchday; minutes and goals operate separately
Public data
P01–P15 players, shifted dates and recomposed metrics

Case decisions

Full chain

The project covers watching matches through fixed cameras and turning events into reads for data-led sporting direction and youth coach coordination.

Report use

Three pages separate the overall read, individual summary and goals-versus-minutes analysis. Two filter groups support different questions within the same report.

Facets

Data analyst

Tools

Match coding
event coding from match video
Data entry en campo
live capture with a custom button model
Google Sheets
event base and processing
Power BI
three pages with global indicators, individual summary and separate minutes and goals filters