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TactiQ
Football Intelligence
Founding Beta

TactiQ is built around Player & Club Data, Match Intelligence, Predictive Modeling, and Research & Visualization — understand the system, not the surface.

Core
Club football as the permanent base
Launch
World Cup as the launch amplifier
Transparency
Public roadmap and visible system progress
The standard
Methodology →

Every score is deterministic, evidence-gated, and confidence-labelled. Football intelligence should be explainable — not a black box with a number on the front. The methodology is part of the product, not a legal page.

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Methodology

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Preparing TactiQ’s evaluation logic, principles, and product disciplines.

Context adjustment

The same numbers mean different things in different leagues.

A striker scoring 15 goals in the Premier League and a striker scoring 15 goals in a lower-tier league have done different things. The League Difficulty Index (LDI) corrects for this — so a score of 74 means roughly the same quality wherever the player competes.

Browse players← Methodology overview
The problem

Without adjustment, scores favour easier leagues.

The Premier League features more sophisticated defensive organisations, more compact pressing systems, higher individual defensive quality, and fewer naive structures to exploit. Raw goal totals don't capture this.

Without adjusting for league difficulty, the TactiQ Score would systematically disadvantage players in the most competitive leagues and overrate players in weaker ones. The LDI corrects for this.

Same raw output. Different adjusted scores.
Premier League15 goals
Adjusted TactiQ Score: 82
Mid-tier league15 goals
Adjusted TactiQ Score: 64

Illustrative only — not actual LDI values.

How it works

Four sources of evidence determine each league's LDI.

The Premier League anchors the scale at 1.00. Every other league is assessed relative to it and receives a scalar proportional to its competitive gap.

01

European competition results

How clubs from each league perform against each other in Champions League, Europa League, and Conference League. A league whose clubs consistently reach the late stages of European competition is revealing something about its depth and quality.

02

Cross-league transfer performance

When players move between leagues, do they maintain, improve, or decline? A league that consistently exports players who underperform in the Premier League is revealing something about the competitive gap — whether or not those leagues look comparable in isolation.

03

Squad quality composition

The average TactiQ Score of players across all clubs in a league serves as a direct measure of playing quality — a league is only as strong as the players competing in it. This creates a feedback loop that refines over time.

04

Tactical and defensive intensity

Indirect signals such as the density of high-press tactical systems, average defensive line depth, and duel success rates across leagues. Higher defensive intensity generally means stricter conditions for achieving the same statistical outputs.

The LDI is not an opinion — it is derived from evidence across all four dimensions and reviewed seasonally. Specific multiplier values for each league are part of TactiQ's proprietary calibration process and are not published, though the methodology behind them is.

Multi-league players

Each season's data is adjusted for the league it was played in.

Players who have competed across multiple leagues during the seasons included in their multi-season blend have their LDI applied per-season before the seasons are combined.

A player who moved from a lower-difficulty league to the Premier League has their historical data appropriately discounted before it is blended with their Premier League record.

Per-season LDI application
Two seasons ago
Lower league
×0.90
15%
Last season
Premier League
×1.00
30%
Current season
Premier League
×1.00
55%

The LDI from two seasons ago reduces that season's contribution to the final blend.

Honest limits

What the LDI does not do.

We publish these limitations because transparency about what our adjustments cannot capture is as important as explaining what they can.

≈
Not perfectly precise

League difficulty varies within a season and between seasons. Our index captures the best available estimate, not perfect truth.

≈
Within-league context not captured

Playing for a bottom-half club in the Premier League is harder in some ways than playing for a dominant force in a lower division. The LDI addresses league-level difficulty; squad context is a separate component of the evaluation.

≈
New leagues receive a conservative default

When TactiQ begins covering a league for which we have limited cross-league data, it receives a conservative default value. As data accumulates, the value is refined seasonally.

Transparency and proprietary work

We explain the approach. We don't publish the numbers.

We publish that the LDI exists and explain how it works because it is one of the most consequential adjustments in the TactiQ Score. A player who reads our methodology should understand why a Premier League score and a lower-league score cannot be directly compared without adjustment, and how we approach that comparison.

We don't publish the specific multiplier for each league because those values are derived from a proprietary calibration process that took significant analytical effort. Transparency about the methodology does not require giving away the implementation.

How LDI fits into the full TactiQ Score →
Also in Methodology
Core metric
The TQ Score

How we evaluate player and club quality.

Interpretation system
AI Consensus Layer

How three agents must agree before an interpretation is published.

Data quality
Evidence Packets

The data quality layer that sits between raw data and every score.

Quality control
Publication Gate

When TactiQ shows a score — and when it doesn't.