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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

Albert Gudmundsson

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

Current Team
Fiorentina
Position
Secondary Striker
Also: Striker
Date of Birth
Jun 15, 1997 (28)
Jersey Number
#10
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Albert Gudmundsson
Albert Gudmundsson
Current profile snapshot
Current Team
Fiorentina
Position
Secondary Striker
Also: Striker
Date of Birth
Jun 15, 1997 (28)
Jersey Number
#10
TactiQ Score
64.5
93% confidence
TactiQ Score v2
64.5
Form Score
59.7
Confidence
93%
Role
striker
League
Serie A
Per 90 minutes
Goals
0.21
Assists
0.17
Key Pass
1.29
Tackles
0.38
Rating
6.87
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-range Serie A striker sitting at an FQ Score of 54.23 — squarely in the typical performer band — with no sub-score dimension clearing the threshold for standout quality. Across 29 matches and 2,110 minutes this season, he is producing 0.21 goals and 0.17 assists per 90, output that meets positional baseline without exceeding it. The most notable data point is the complete absence of a finishing sub-score, which for a striker is the primary evaluative lens and signals either limited shot volume or below-threshold finishing efficiency.

Why this score

The FQ Score of 54.23 is driven primarily by the absence of any sub-score above the baseline threshold — no finishing, creation, progression, or physical duel scores are available to pull the rating upward. The 0.21 goals per 90 production rate is the clearest quantitative anchor, reflecting output that is adequate but not differentiated for a striker in Serie A.

Form Trajectory

Form is in soft decline: the current form score of 47.95 sits 6.3 points below the multi-season FQ Score of 54.23, a gap that crosses the meaningful concern threshold. With score confidence at 0.89 and 29 matches in the sample, this is a statistically credible downward trend rather than noise.

Similar Profiles
Players with comparable scoring profiles in the same role
André Miguel Valente Silva

Both sit within one FQ point of each other (54.23 vs 53.66), reflecting similar mid-range striker profiles; Silva's longer top-flight track record provides more sub-score depth than is available here.

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
31
Minutes
2160
Goals
5
Assists
4
Key passes
31
Rating
6.87
Tackles
9
Shots on target
15
Successful dribbles
19
Clean sheets
7
2 Seasons Ago
TQ 71.8Form 72.1
Previous
TQ 63.2Form 63.8
Current
TQ 59.5Form 59.7
Per 90 minutes
Goals
0.21
Assists
0.17
Key Passes
1.29
Tackles
0.38
Rating
6.87
Jordan Ayew

Comparable FQ band (51.73) and role classification as a striker operating without elite finishing markers; Ayew's profile typically shows more defensive contribution, which is not a feature of this player's available data.

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Patrick Bamford

FQ score of 51.55 places Bamford in the same typical-performer tier; the key difference is Bamford's output has historically been more legible through shot and finishing data, whereas this player's null finishing sub-score limits direct comparison.

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Current indicators
What the live season sample is surfacing right now
Heavy minute load
2160 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
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
Goal output

0.21 goals per 90 across 2,110 minutes is below what would be expected of a striker making a meaningful attacking contribution in Serie A. This is the central gap for a player in this role bucket.

Finishing sub-score

The finishing dimension returned null — the single most critical sub-score for a striker. This either reflects insufficient shot data or quality below the scoring threshold, and it is the primary transparency gap in this evaluation.

Key pass volume

1.32 key passes per 90 is a positive peripheral signal, but without a creation sub-score to contextualise it, it cannot be weighted as a genuine strength — and for a pure striker, creation is a secondary rather than primary expectation.

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 →