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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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Player Profile

Gianluigi Donnarumma

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

Current Team
Manchester City
Position
Goalkeeper
Date of Birth
Feb 25, 1999 (27)
Jersey Number
#25
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Gianluigi Donnarumma
Gianluigi Donnarumma
Current profile snapshot
Current Team
Manchester City
Position
Goalkeeper
Date of Birth
Feb 25, 1999 (27)
Jersey Number
#25
TactiQ Score
71.0
92% confidence
TactiQ Score v2
71.0
Form Score
72.2
Confidence
92%
Role
goalkeeper
League
Premier League
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.03
Tackles
0.03
Rating
6.89
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Premier League goalkeeper sitting at 63.9 on the FQ scale — adequate starter territory, but without the standout metrics that separate top-flight number ones. Across 30 matches and 2,700 minutes this season, the profile is defined more by consistency than by any elite dimension. Data confidence is high at 0.91, so this read is reliable.

Why this score

The FQ score of 63.9 reflects a goalkeeper who meets positional baseline expectations without exceeding them. Granular goalkeeper-specific sub-scores (shot-stopping, distribution, claim rate) are unavailable, which prevents identifying a clear elite dimension — and the absence of standout signal is itself informative.

Form Trajectory

Form is stable-to-marginally improving: the form score of 66.74 sits 2.84 points above the multi-season FQ score of 63.9, a gap that falls within the ±5 stable range. No volatility signals are present, and the high confidence score (0.91) confirms this is a consistent, low-variance performer rather than one trending sharply in either direction.

Similar Profiles
Players with comparable scoring profiles in the same role
Gerónimo Rulli

Rulli's FQ score of 64.35 places him virtually level with this player, reflecting a similar profile of reliable Premier League presence without elite-tier differentiation; Rulli carries slightly more experience in high-pressure European competition.

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

7 metrics surfaced
Appearances
32
Minutes
2880
Key passes
1
Rating
6.89
Tackles
1
Successful dribbles
2
Clean sheets
14
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2880 minutes suggest a significant current role in the squad rotation.
Defensive outcomes
2 Seasons Ago
TQ 81.0Form 81.0
Previous
TQ 63.7Form 63.7
Current
TQ 72.3Form 72.2
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.03
Tackles
0.03
Rating
6.89
Guglielmo Vicario

Vicario's 63.36 FQ score marks him as a near-identical peer in overall output; the key distinction is Vicario's stronger reputation for distribution and sweeping, which may not yet be fully captured in either player's scored dimensions.

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Alphonse Areola

Areola's 62.77 FQ score sits just below, making him the closest lower-bound comparable; both occupy backup-to-fringe-starter territory at top clubs, though Areola's role as a clear second-choice limits his minutes in a way this player's 2,700-minute season does not.

Compare →
14 clean sheets are surfacing in the current live snapshot.
Save load
74 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.
Watchpoints
Real gaps relative to this player's role
Defensive metrics depth

All goalkeeper-specific sub-scores (save percentage, distribution, clean sheet contribution) return null in the dataset. For a keeper logging 2,700 minutes in the Premier League, the absence of measurable elite output in any tracked dimension is a meaningful gap — top-tier keepers in this league typically score above 75 with clear shot-stopping or sweeping strengths.

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 →