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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

Alphonse Areola

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

Current Team
West Ham United
Position
Goalkeeper
Date of Birth
Feb 27, 1993 (33)
Jersey Number
#23
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Alphonse Areola
Alphonse Areola
Current profile snapshot
Current Team
West Ham United
Position
Goalkeeper
Date of Birth
Feb 27, 1993 (33)
Jersey Number
#23
TactiQ Score
72.3
73% confidence
TactiQ Score v2
72.3
Form Score
66.2
Confidence
73%
Role
goalkeeper
League
Premier League
Per 90 minutes
Goals
—
Assists
0.05
Key Pass
0.05
Tackles
—
Rating
6.73
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Premier League goalkeeper sitting at an FQ score of 62.77 — adequate for a starting role but without standout contributions. Across 20 matches (1,800 minutes), performance has been consistent rather than impactful, with no granular shot-stopping metrics available to identify a specific area of strength. At this level of the scale, the profile reflects a goalkeeper meeting positional requirements without separating from the pack.

Why this score

With all goalkeeper-specific sub-scores absent from the data packet, the FQ score of 62.77 is driven entirely by aggregate output — a rating of 6.73 per 90 and a score confidence of 0.72 that signals moderate but not high certainty. No save percentage, xG prevention, or clean sheet data is available to push the score higher or lower.

Form Trajectory

Form score of 60.64 sits 2.13 points below the FQ score of 62.77 — within the ±5 stable range, but on the softer side. This represents natural fluctuation rather than a structural concern, though there is no upward momentum to note.

Similar Profiles
Players with comparable scoring profiles in the same role
Guglielmo Vicario

Vicario's FQ score of 63.36 places him just 0.59 points above this player, reflecting a similarly mid-tier aggregate profile; the key difference is Vicario's higher-profile club context in the Premier League, which may weight his score differently under league-difficulty adjustments.

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

5 metrics surfaced
Appearances
20
Minutes
1800
Assists
1
Key passes
1
Rating
6.73
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1800 minutes suggest a significant current role in the squad rotation.
Save load
77 saves suggest a significant shot-stopping workload in current coverage.
Strengths
Where this player is genuinely above baseline
No clearly elite traits identified in current data.
2 Seasons Ago
TQ 80.3Form 80.6
Previous
TQ 66.4Form 66.5
Current
TQ 66.1Form 66.2
Per 90 minutes
Goals
—
Assists
0.05
Key Passes
0.05
Tackles
—
Rating
6.73
Gianluigi Donnarumma

Donnarumma's FQ score of 63.9 is comparable in aggregate, making him a useful peer benchmark; however, Donnarumma's international pedigree and club environment represent a meaningfully higher-profile context than this player's current situation.

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Yvon Landry Mvogo

Mvogo's FQ score of 61.32 is the closest match in the peer group, suggesting similar aggregate output; Mvogo's profile is associated with a lower-profile league environment, which may indicate this player is performing at a relatively stronger contextual level for the same score.

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Watchpoints
Real gaps relative to this player's role
Shot-stopping data

No saves, save percentage, clean sheets, or xG prevented figures are present in the data packet. For a goalkeeper in the Premier League, this absence means the primary value driver of the position cannot be assessed — the 62.77 FQ score rests on thin positional evidence.

Distribution contribution

Assists of 0.05 per 90 and key passes of 0.05 per 90 are negligible, indicating no meaningful contribution to build-up play — a growing expectation for top-flight goalkeepers.

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 →