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

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Club football as the permanent base
Launch
World Cup as the launch amplifier
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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

Denis Suárez

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

Current Team
Deportivo Alavés
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jan 6, 1994 (32)
Jersey Number
#4
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Denis Suárez
Denis Suárez
Current profile snapshot
Current Team
Deportivo Alavés
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jan 6, 1994 (32)
Jersey Number
#4
TactiQ Score
66.6
81% confidence
TactiQ Score v2
66.6
Form Score
59.1
Confidence
81%
Role
attacking_midfielder_creator
League
La Liga
Per 90 minutes
Goals
0.07
Assists
0.14
Key Pass
1.50
Tackles
1.58
Rating
6.64
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-tier attacking midfielder/creator in La Liga sitting at an FQ Score of 52.79 — squarely in the typical performer band. The most distinctive data point is a key pass rate of 1.49 per 90, which anchors his identity as a creative outlet, though goal (0.08 per 90) and assist (0.16 per 90) returns suggest that creativity is not consistently converting into direct output. Across 1,151 minutes this season, he has not established a standout dimension.

Why this score

With all sub-scores (finishing, creation, progression, defense, possession control, physical duel) returning null, the FQ Score of 52.79 is driven entirely by aggregate output metrics rather than dimensional profiling. The combination of modest goal and assist returns — 0.08 and 0.16 per 90 respectively — alongside an average match rating of 6.67 places him firmly in the adequate-but-unremarkable range for this role.

Form Trajectory

Form score of 48.28 sits 4.5 points below the FQ Score of 52.79 — within the ±5 stable range but nudging toward soft decline territory. The trend is not alarming, but recent matches have tracked below his season baseline with no sub-score data available to pinpoint which area of his game is dipping.

Similar Profiles
Players with comparable scoring profiles in the same role
Jonas Hofmann

Hofmann's FQ Score of 52.69 is virtually identical, making him a strong structural peer; the key difference is Hofmann's role typically involves more direct running and wider positioning, whereas this player's 1.49 key passes per 90 suggests a more central creative function.

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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
27
Minutes
1257
Goals
1
Assists
2
Key passes
21
Rating
6.64
Tackles
22
Shots on target
3
Successful dribbles
23
Clean sheets
3
2 Seasons Ago
TQ 69.2Form 69.8
Previous
TQ 65.0Form 65.3
Current
TQ 59.4Form 59.1
Per 90 minutes
Goals
0.07
Assists
0.14
Key Passes
1.50
Tackles
1.58
Rating
6.64
Emiliano Buendía

Buendía's FQ Score of 52.24 reflects a similar mid-tier creative profile; Buendía has historically shown higher assist volatility across seasons, while this player's output appears more consistently modest.

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Danel Sinani

Sinani's FQ Score of 53.68 is the closest ceiling comparison in this peer group; Sinani tends to operate with more direct dribbling contribution, distinguishing him from this player's pass-first creative approach.

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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
22 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
Direct goal contribution

0.08 goals and 0.16 assists per 90 are below what is expected of a starting attacking midfielder/creator in La Liga. Over 25 matches and 1,151 minutes, the end-product volume has not matched the creative intent suggested by 1.49 key passes per 90.

Sub-score visibility

All six role-relevant sub-scores are null, meaning no dimension — finishing, creation, progression, or possession control — can be confirmed as a genuine strength. This limits confidence in identifying where exactly the player falls short or excels within his role.

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 →