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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

Alfonso Pedraza

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

Current Team
Villarreal
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Apr 9, 1996 (30)
Jersey Number
#24
League
La Liga
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Alfonso Pedraza
Alfonso Pedraza
Current profile snapshot
Current Team
Villarreal
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Apr 9, 1996 (30)
Jersey Number
#24
TactiQ Score
69.0
82% confidence
TactiQ Score v2
69.0
Form Score
64.3
Confidence
82%
Role
fullback_wingback
League
La Liga
Per 90 minutes
Goals
0.06
Assists
0.18
Key Pass
1.17
Tackles
2.29
Rating
6.79
Multi-season trend
AI Analysis
Generated May 6, 2026

A La Liga fullback/wingback sitting at 52.7 on the FQ scale — squarely in the typical performer range, with no sub-score breakdown available to identify a standout dimension. Across 24 matches and 1,462 minutes this season, the profile is defined by consistency at the median rather than any clear positional strength. At this score level, clear gaps exist relative to above-average starters in the division.

Why this score

With all role-specific sub-scores (finishing, creation, progression, defense) returning null, the FQ Score of 52.7 is driven entirely by aggregate per-90 output: 2.28 tackles, 1.17 key passes, and an average match rating of 6.79 — numbers that meet positional baseline without exceeding it in any dimension. The absence of component scores prevents pinpointing a single driver, but nothing in the per-90 data signals above-average contribution.

Form Trajectory

Form is essentially stable — the form score of 50.76 sits just 1.9 points below the FQ Score of 52.7, well within the ±5 threshold for a flat trajectory. No meaningful acceleration or decline is signalled at this time.

Similar Profiles
Players with comparable scoring profiles in the same role
Kieran Trippier

Both sit within a narrow FQ band (52.87 vs 52.7), reflecting similar median-tier output for the fullback role; Trippier's profile historically skews more toward delivery and set-piece creation, a dimension this player has not evidenced in the available data.

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

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

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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

10 metrics surfaced
Appearances
25
Minutes
1535
Goals
1
Assists
3
Key passes
20
Rating
6.79
Tackles
39
Shots on target
3
Successful dribbles
18
Clean sheets
5
2 Seasons Ago
TQ 63.1Form 63.1
Previous
TQ 67.2Form 67.4
Current
TQ 64.4Form 64.3
Per 90 minutes
Goals
0.06
Assists
0.18
Key Passes
1.17
Tackles
2.29
Rating
6.79
Ainsley Maitland-Niles

Comparable FQ score (51.95) and a shared profile of positional adequacy without a dominant sub-score; Maitland-Niles has typically operated with greater positional versatility, whereas this player's role bucket is more clearly defined.

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José Diogo Dalot Teixeira

The closest FQ match in this peer group at 53.63, suggesting near-identical overall output levels; Dalot's profile in available data trends more offensively for the position, a distinction that cannot be confirmed or denied here given the null sub-scores.

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Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
39 tackles indicate active intervention volume in the current season sample.
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

0.06 goals and 0.18 assists per 90 are low for a modern wingback role where offensive contribution is increasingly expected. 1.17 key passes per 90 is modest and unlikely to compensate for the lack of direct goal involvement.

Defensive measurables

2.28 tackles per 90 is a visible defensive presence, but without a defense sub-score to contextualise success rate or duel win percentage, it is unclear whether this volume translates to effective defensive output.

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 →