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Football Decision Intelligence Lab

Team Prototype

Explore team styles, seasonal context, underlying performance, and explainable points drivers using a local first-build export.

EliOra internal R&D · Not client work · Analytics logic and DOM IDs preserved for prototype continuity.

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Filters

Quick Presets:

Team Radar Comparison

Compare selected teams across chosen metrics. Percentiles show where each team sits in the current pool.

Top Teams

Ranks teams by a single metric within the selected seasons and points filter.

Holistic Score Bubble Chart

Bubble size = average z-score across selected composite metrics. Color indicates season when multiple seasons are selected.

Use X/Y to compare results vs process; labels show the top 10 by composite score.

Deep Dive Insights

Executive-friendly views that surface process vs results and team style identity.

Season filter
Team pool
Selected teams
Headline takeaway
Headline comparison
Metric Leader Value

Insight Controls

Adjust the highlighted teams directly while viewing insights.

Process vs Results

xG Diff vs Points. Quadrants show process strength vs results.

Deserved vs Actual

Process score vs points (z‑scores). Above the line = overperforming process.

Team Style Map

Possession % vs shots on target. Reveals style identity by season.

Similarity

Similarity uses Euclidean distance across core z-score features within the filtered dataset, shown as a relative percentage (higher is more similar).

Best for comparing team profiles, not predicting results.

Team Season Points Similarity %

Team Table

Sortable view of the filtered dataset. Blanks indicate missing or unavailable values.

Current View Report

    What Drives Points?

    Coach-facing view of the strongest patterns associated with points in historical team data.

    Model benchmark summary

    Grouped cross‑validation by season. Lower MAE/RMSE is better.

    What this means

    Process drivers are emphasized for sustainable decision‑making.

    Top process drivers

    Simple relationships
    Model reliance

    Process model uses non‑leaky performance indicators.

    Top descriptive drivers

    Simple relationships
    Model reliance

    Descriptive model includes results‑adjacent signals for context.

    Decision tree view

    Simplified tree showing main split patterns associated with higher-point teams.

    Process tree (top 8 features)
    Process decision tree
    Descriptive tree (results-adjacent)
    Descriptive decision tree

    Model response curves

    Partial dependence plots for the best non‑linear model.

    Process model
    Process PDP
    Descriptive model
    Descriptive PDP

    Coach takeaway report

    Based on historical team data; use as guidance, not certainty.

    What this proves: a domain-specific team surface can connect comparison, exploration, and model evidence without hiding the underlying metrics or assumptions.