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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.

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

Emiliano Buendía

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

Current Team
Aston Villa
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Dec 25, 1996 (29)
Jersey Number
#10
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Emiliano Buendía
Emiliano Buendía
Current profile snapshot
Current Team
Aston Villa
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Dec 25, 1996 (29)
Jersey Number
#10
TactiQ Score
66.2
86% confidence
TactiQ Score v2
66.2
Form Score
63.0
Confidence
86%
Role
attacking_midfielder_creator
League
Premier League
Per 90 minutes
Goals
0.34
Assists
0.11
Key Pass
1.43
Tackles
2.34
Rating
6.80
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-tier attacking midfielder in the Premier League sitting at an FQ Score of 52.24 — squarely in the typical performer band (50-59) and well below the threshold for a standout creator. The most distinctive data point is what is absent: all dimensional sub-scores (finishing, creation, progression) are null, meaning no single area of the game elevates this player above baseline. Across 1,570 minutes this season, the per-90 output — 0.29 goals, 0.11 assists, 1.43 key passes — reflects a contributor who meets positional minimums without exceeding them.

Why this score

The FQ Score of 52.24 is driven primarily by the absence of any above-average dimensional signal: with creation, progression, and finishing sub-scores all unavailable or unregistered, the model cannot credit elite output in any role-critical area. The per-90 numbers — particularly 0.11 assists and 1.43 key passes — sit below what a strong Premier League creator would produce, anchoring the score in the typical range.

Form Trajectory

Form is stable: the form score of 50.48 sits just 1.76 points below the FQ Score of 52.24, well within the ±5 threshold for a flat trajectory. There is no meaningful decline or upward momentum — output is holding steady at its established, modest baseline.

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

Hofmann's FQ Score of 52.69 places him at a near-identical overall level, reflecting similar mid-tier creator output; Hofmann, however, has historically shown stronger positional versatility across wide and central roles.

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
34
Minutes
1591
Goals
6
Assists
2
Key passes
25
Rating
6.80
Tackles
41
Shots on target
12
Successful dribbles
10
Clean sheets
8
2 Seasons Ago
TQ 55.7Form 55.1
Previous
TQ 70.0Form 70.8
Current
TQ 63.3Form 63.0
Per 90 minutes
Goals
0.34
Assists
0.11
Key Passes
1.43
Tackles
2.34
Rating
6.80
Denis Suárez Fernández

Denis Suárez scores 52.79, making him a close statistical peer in overall contribution; Suárez's profile skews more toward possession retention and short-range distribution rather than direct goal involvement.

Compare →
Danel Sinani

Sinani's 53.68 FQ Score is the highest of the three comparables, reflecting marginally greater attacking returns; the key difference is Sinani's output has come in lower-competition contexts, making the per-90 numbers harder to directly compare.

Compare →
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
41 tackles indicate active intervention volume in the current season sample.
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

0.29 goals and 0.11 assists per 90 over 1,570 minutes is below what the attacking midfielder/creator role demands at Premier League level. 1.43 key passes per 90 suggests involvement in build-up but not at a volume that drives meaningful chance creation.

Defensive engagement

2.29 tackles per 90 is notable for a creator role and may reflect a pressing-heavy system rather than individual defensive quality — but it does not compensate for the lack of attacking production that defines this position.

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 →