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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

Paulo Gazzaniga

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

Current Team
Girona
Position
Goalkeeper
Date of Birth
Jan 2, 1992 (34)
Jersey Number
#13
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Paulo Gazzaniga
Paulo Gazzaniga
Current profile snapshot
Current Team
Girona
Position
Goalkeeper
Date of Birth
Jan 2, 1992 (34)
Jersey Number
#13
TactiQ Score
73.0
90% confidence
TactiQ Score v2
73.0
Form Score
68.5
Confidence
90%
Role
goalkeeper
League
La Liga
Per 90 minutes
Goals
—
Assists
—
Key Pass
—
Tackles
0.03
Rating
6.85
Multi-season trend
AI Analysis
Generated May 11, 2026

A La Liga goalkeeper sitting at 82.22 on the TactiQ scale — firmly in the above-average tier and among the better-rated stoppers in the dataset. The most distinctive data point is a 75% duel success rate, reflecting reliable 1v1 competence across 31 appearances (2,743 minutes). Core shot-stopping metrics are absent from the evidence packet, which limits how precisely this score can be attributed to goalkeeping output specifically.

Why this score

The 82.22 TactiQ Score is driven primarily by strong contextual and physical indicators — a 0.90 confidence rating, 91% data completeness, and a 75% duel success rate — rather than goalkeeper-specific production metrics like save percentage or clean sheets, which are not present in the data. The absence of those core metrics means the score reflects a reliable, consistent performer rather than a verified elite shot-stopper.

Form Trajectory

Form score of 75.77 sits 6.45 points below the TactiQ Score of 82.22, which constitutes a soft decline by platform thresholds. This is a meaningful directional signal worth monitoring, though the 0.90 confidence rating and 31-match sample reduce the likelihood this reflects noise rather than a genuine recent dip in output.

Similar Profiles
Players with comparable scoring profiles in the same role
Thibaut Courtois

Nearly identical TactiQ Score (82.12 vs 82.22) places them in the same performance band; Courtois carries a far more extensive elite-level track record and richer underlying metric profile.

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
32
Minutes
2833
Rating
6.86
Tackles
1
Clean sheets
6
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2833 minutes suggest a significant current role in the squad rotation.
Save load
112 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 78.0Form 78.0
Previous
TQ 65.9Form 65.9
Current
TQ 68.4Form 68.5
Per 90 minutes
Goals
—
Assists
—
Key Passes
—
Tackles
0.03
Rating
6.85
Alisson Ramsés Becker

Comparable overall score (82.00) and role bucket alignment; Alisson is typically supported by more complete shot-stopping data, making his score more directly attributable to core goalkeeping output.

Compare →
Martin Dúbravka

Marginally higher TactiQ Score (82.65) within the same above-average tier; Dúbravka represents a useful ceiling benchmark for what this player's score range looks like with fuller contextual validation.

Compare →
Watchpoints
Real gaps relative to this player's role
Aerial presence

0.23 aerials won per 90 is modest even accounting for goalkeeper role norms, where commanding the box on set pieces is a meaningful differentiator. This figure sits below what would be expected of a dominant aerial presence.

Missing shot-stopping data

No saves per 90, save percentage, or clean sheet data is available. For a goalkeeper, these are the primary production dimensions — their absence means the 82.22 score cannot be fully validated against the most role-critical outputs.

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 →