01 — CONSTRUCT↗
xBUEXPECTED BUILD-UP
Where the attack begins.
Explore the players and connections that help move possession out of the defensive phase and into promising territory.
Our proposed build-up model · in development
FOOTBALL ANALYSIS BY ANALYTIX
Understand how
your team
creates chances.
Connect player interactions with build-up, progression and shot quality. Find the patterns that can help your team perform better.
PLAYER NETWORK · EXAMPLEEXAMPLE DATA
BUILD-UPxBU
→PROGRESSIONxT
→SHOT QUALITYxG
01 / THE APPROACH
From build-up
to chance creation.
A shot tells you how an attack ended.
A connected model helps explain how it got there.
02 — PROGRESS↗
xTEXPECTED THREAT
Where possession gains value.
Measure how moving the ball between pitch zones changes its scoring potential. Find the passes and carries that advance an attack.
Value beyond goals and assists
03 — CREATE↗
xGEXPECTED GOALS
Where chances become clear.
Estimate the probability that a shot becomes a goal. Understand chance quality alongside the network that helped create it.
Context for the final action
Three complementary views of an attack, not a single additive score. Definitions and results depend on the underlying data and model.
02 / EXPLORE THE NETWORK
A team is more
than eleven individuals.
Players are nodes. Their interactions are edges.
See who connects the team — and where an attack loses momentum.
Possession networkSample XI · 4–3–3 · Full match
Player Thicker line = more passes
THE WEIGHTED GRAPH
Weight each connection by pass volume or value added to reveal the relationships driving possession.
THE CONTEXT LAYER
A knowledge graph can connect those relationships to player roles, match phases and tactical patterns.
03 / FROM DATA TO DECISIONS
Turn match patterns
into coaching decisions.
Translate the patterns into questions
you can take to the training ground.
01
Find your connectors.
Identify the players who link your units, sustain possession and unlock progression — even when they don’t make the final pass.
PLAYER CONTRIBUTION02
Spot the bottlenecks.
Discover isolated players, predictable routes and overloaded connections. See where pressure can disrupt your build-up.
TACTICAL DIAGNOSIS03
Plan the next adjustment.
Use network patterns to inform positioning, training priorities and opponent preparation. Compare how your approach changes across matches.
TEAM DEVELOPMENTTHE ANALYSIS WORKFLOW
01
Start with match data
Player identities, passes, carries, shots and event locations.
02
Connect the actions
Build the network and add possession, phase and spatial context.
03
Find the football insight
Review progression, chance creation and the players behind them.
A FEW IMPORTANT DETAILS
Know what’s
behind the numbers.
Is xBU an established football metric?
Here, xBU is the name for our proposed expected build-up model. Its precise definition, training target and validation are still in development. It will be documented before performance claims are made.
What data would the analysis need?
At minimum, structured event data with timestamps, team and player IDs, event types, start and end locations, and outcomes. Shot context supports xG. Tracking data can add off-ball information; event data alone cannot fully describe it.
Is this a live analysis platform?
This page introduces the concept and provides an interactive network with synthetic example data. Match ingestion, fitted models and real team reports are the next stage of development.
Does the graph replace video analysis?
The network gives you patterns to investigate. Pair it with match footage and coaching context to understand why those patterns happened.
BUILD A BETTER UNDERSTANDING OF YOUR TEAM