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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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Pulling current player details into TactiQ.

Player Profile

Nacho Vidal

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

Current Team
Real Oviedo
Position
Centre Back
Also: Defender
Date of Birth
Jan 24, 1995 (31)
Jersey Number
#22
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Nacho Vidal
Nacho Vidal
Current profile snapshot
Current Team
Real Oviedo
Position
Centre Back
Also: Defender
Date of Birth
Jan 24, 1995 (31)
Jersey Number
#22
TactiQ Score
67.4
84% confidence
TactiQ Score v2
67.4
Form Score
64.9
Confidence
84%
Role
center_back
League
La Liga
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.27
Tackles
2.00
Rating
6.66
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level center back in La Liga with an FQ Score of 48.93, placing them in the bottom half of all scored players — below the threshold of a reliable starter. The most distinctive feature of this profile is the near-total absence of granular sub-score data: all role-critical defensive dimensions (defense, physical duels, progression) return null, meaning the 48.93 reflects a limited signal picture rather than confirmed quality. Across 24 matches and 1,945 minutes, the available output is thin — 1.99 tackles per 90 and a 6.68 average rating are the primary observable markers.

Why this score

The FQ Score of 48.93 is driven primarily by the absence of positive evidence rather than confirmed weakness: all defensive sub-scores are null, stripping out the metrics that define center back value. What remains — a 6.68 match rating and 1.99 tackles per 90 — does not generate enough signal to push the score above the fringe threshold.

Form Trajectory

With a form score of 52.01 against an FQ Score of 48.93, the delta is +3.1 — within the ±5 stable band, indicating no meaningful directional shift. Recent form is marginally above the multi-season baseline but not enough to signal a genuine upward trend.

Similar Profiles
Players with comparable scoring profiles in the same role
Leandro Daniel Cabrera Sasía

Nearly identical FQ Score (48.49 vs 48.93) places both players in the same fringe-starter tier; Cabrera Sasía provides a direct peer benchmark at this score level.

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

8 metrics surfaced
Appearances
26
Minutes
2111
Key passes
6
Rating
6.68
Tackles
45
Shots on target
3
Successful dribbles
13
Clean sheets
9
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2111 minutes suggest a significant current role in the squad rotation.
2 Seasons Ago
TQ 62.4Form 62.7
Previous
TQ 62.3Form 62.9
Current
TQ 64.2Form 64.9
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.27
Tackles
2.00
Rating
6.66
Omar Federico Alderete Fernández

A close FQ Score match at 49.62, suggesting similar overall output levels; Alderete Fernández edges slightly higher, potentially reflecting marginally better data coverage or defensive contribution.

Compare →
Sead Kolašinac

The highest-scoring comparable at 50.04, sitting just above the fringe threshold; Kolašinac's profile represents the ceiling of this peer group and the gap to adequate-starter territory.

Compare →
Defensive activity
45 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
9 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
Defensive output visibility

All core defensive sub-scores — defense, physical duels, aerial, interceptions — are null. For a center back, these are the primary production metrics. Their absence means the player's most important contributions cannot be quantified, and the 1.99 tackles per 90 is the only defensive proxy available.

Attacking contribution

Key passes sit at just 0.23 per 90, and goals and assists return null. While low attacking output is expected for a center back, the combination of no creation data and no progression sub-score leaves the ball-playing dimension entirely unassessed.

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 →