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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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Player Profile

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Player Profile

Andrew Robertson

TactiQ Score, per-90 performance stats, and multi-season form — with direct routes into compare and rankings.

Current Team
Liverpool
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Mar 11, 1994 (32)
Jersey Number
#26
League
Premier League
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Andrew Robertson
Andrew Robertson
Current profile snapshot
Current Team
Liverpool
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Mar 11, 1994 (32)
Jersey Number
#26
TactiQ Score
66.2
74% confidence
TactiQ Score v2
66.2
Form Score
62.9
Confidence
74%
Role
fullback_wingback
League
Premier League
Per 90 minutes
Goals
0.08
Assists
—
Key Pass
1.49
Tackles
0.99
Rating
6.69
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level fullback/wingback in the Premier League, sitting at an FQ Score of 49.23 — below the baseline for a regular starter at this level. With 1,029 minutes across 22 matches, the sample is meaningful but the output is not: 0.09 goals per 90 and no recorded assists point to minimal attacking contribution, while the absence of standout sub-scores across any dimension confirms a player who is not distinguishing himself in any area of the role.

Why this score

The FQ Score of 49.23 reflects a player who falls short of positional expectations across the board, with no sub-score available above the baseline threshold. The 1.57 key passes per 90 is the lone metric with some positional relevance, but it is not enough to offset the overall below-baseline profile.

Form Trajectory

Form score of 47.11 sits 2.12 points below the FQ Score of 49.23, placing this player in stable-to-slight-decline territory — not an alarming drop, but consistent with a player who is not improving on his baseline. No upward momentum is evident.

Similar Profiles
Players with comparable scoring profiles in the same role
Johan Andrés Mojica Palacio

Nearly identical FQ Score (48.63 vs 49.23) places them in the same below-baseline fullback tier; Mojica Palacio has more established top-flight experience across multiple leagues, which may give his score more contextual depth.

Compare →
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
Compare
Put this player next to another and find the real edges.

TactiQ Score, form, confidence, and season stats compared side by side — instantly.

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Methodology
Understand exactly how this score was built.

Every TactiQ Score is deterministic and traceable. Read the full methodology behind the numbers.

View Methodology →
Latest available season snapshot

Live statistics currently available for this profile

9 metrics surfaced
Appearances
23
Minutes
1088
Goals
1
Key passes
18
Rating
6.69
Tackles
12
Shots on target
3
Successful dribbles
3
Clean sheets
8
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 73.8Form 72.6
Previous
TQ 65.1Form 64.7
Current
TQ 63.0Form 62.9
Per 90 minutes
Goals
0.08
Assists
—
Key Passes
1.49
Tackles
0.99
Rating
6.69
Nordi Mukiele Mulere

A near-identical FQ Score (48.61) reflects comparable overall output at fullback/wingback level; Mukiele Mulere's profile skews more toward athletic and defensive contributions, whereas this player's 1.57 key passes per 90 suggests a slightly more creative orientation.

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Gabriel Gudmundsson

Gudmundsson's marginally higher FQ Score (50.5) represents the ceiling of this peer group; both players operate in the same fringe-starter band, though Gudmundsson edges ahead on overall composite output.

Compare →
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive outcomes
8 clean sheets are surfacing in the current live snapshot.
Strengths
Where this player is genuinely above baseline
No clearly elite traits identified in current data.
Watchpoints
Real gaps relative to this player's role
Attacking output

0.09 goals per 90 with no recorded assists across 1,029 minutes — for a fullback/wingback in the Premier League, where attacking contribution is a core expectation, this is a meaningful gap.

Defensive measurables

1.05 tackles per 90 is a modest return for a fullback/wingback role where defensive duel volume and success are primary value drivers. All defensive sub-scores are null, preventing deeper analysis, but the headline figure does not suggest a defensive specialist compensating for limited attacking output.

Data completeness

All component sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning the 49.23 FQ Score carries moderate confidence (0.70) but cannot be broken down dimensionally — limiting the ability to identify any specific area of strength.

Reading the score

What each number means

TactiQ Score

A 0–100 measure of overall quality. Combines statistical output with league difficulty, multi-season weighting, and a consistency factor. Target range for strong players: 70–85.

Form Score

Weighted toward recent matches. Can diverge from the TactiQ Score when current form is meaningfully stronger or weaker than the multi-season average.

Confidence

How much evidence supports this score. Lower confidence means thinner data — fewer seasons, fewer appearances, or gaps in coverage. A provisional score is real signal with appropriate caveats.

Methodology

TactiQ Scores are deterministic — given the same evidence, they produce the same output. The evidence packet system, confidence labels, and publication gate are all explained in full.

Read the full methodology →