TactiQ
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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.

Deterministic scoringMulti-agent consensus gatedPublication gate active
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Methodology

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

Methodology

How TactiQ builds and publishes football intelligence.

TactiQ is a methodology-first platform. Every score, every AI interpretation, and every confidence label follows a documented process. This section explains that process — so you know what you are looking at and why.

The five pillars

Every aspect of how we evaluate is documented.

Core metric

The TQ Score

Role-aware scoring, multi-season evidence, and league difficulty adjustment — all on a transparent 0–100 scale.

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01
Interpretation system

AI Consensus Layer

Three independent AI agents evaluate each score from different angles and must reach consensus before any interpretation reaches users.

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02
Data quality

Evidence Packets

A structured, self-validating summary of everything we know about a player or club — built before any score is computed.

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03
Quality control

Publication Gate

A deterministic quality check that decides whether a score is approved, displayed as provisional, or withheld from public surfaces entirely.

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04
Context adjustment

League Difficulty Index

The LDI is a scalar applied to raw scores that reflects the competitive strength of each league, anchored to the Premier League at 1.00.

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05
The full pipeline

From external data to public output.

Every score passes through the same six-stage pipeline. No stage can be skipped.

01
External data

Match results, player stats, fixture data from SportMonks

02
Canonical storage

Structured and normalised into TactiQ's schema

03
Evidence packet

Freshness, completeness, and confidence assessed

04
Scoring engine

TactiQ Score computed deterministically from the packet

05
Multi-agent consensus

Multiple AI agents evaluate independently with adversarial review

06
Publication gate

Quality check before any output reaches users

Each stage must complete successfully before the next stage runs
Core principles

What keeps TactiQ credible.

Principle 1
Evidence first

Scores are built on structured match data, not AI opinion. AI interprets what the evidence shows — it never generates or overrides the underlying number.

Principle 2
Explainable output

Every score comes with the reasoning behind it. You should be able to understand why a player or club is evaluated the way they are.

Principle 3
Honest uncertainty

When data is thin, we say so. Confidence labels, provisional flags, and withheld scores are features — not failures. False precision is the real failure.

Principle 4
No betting framing

TactiQ has no betting affiliations and no betting revenue. Scores are framed as quality assessments — not odds, not tips, not predictions in the gambling sense.

Data sources

Live match data, player statistics, and fixture data are sourced from SportMonks.

Historical match data (Premier League 1992–present) is sourced from openfootball and is available under the CC0 public domain dedication.

Career biographical data is sourced from Wikidata under the CC-BY-SA license.

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