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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

Matz Sels

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

Current Team
Nottingham Forest
Position
Goalkeeper
Date of Birth
Feb 26, 1992 (34)
Jersey Number
#26
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Matz Sels
Matz Sels
Current profile snapshot
Current Team
Nottingham Forest
Position
Goalkeeper
Date of Birth
Feb 26, 1992 (34)
Jersey Number
#26
TactiQ Score
72.8
86% confidence
TactiQ Score v2
72.8
Form Score
69.0
Confidence
86%
Role
goalkeeper
League
Premier League
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.04
Tackles
0.04
Rating
6.79
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A Premier League goalkeeper sitting at 66.62 on the FQ scale — an adequate starter whose output places them in the mid-tier of scored players, not among the league's elite shot-stoppers. Across 27 matches and 2,308 minutes this season, performance has been consistent rather than standout, with a form score of 65.77 tracking almost exactly with the overall FQ score. Data confidence is high at 0.84, so this reading is well-grounded.

Why this score

The FQ score of 66.62 is driven primarily by consistent, baseline-level goalkeeper output without any elite-tier differentiators. Granular role-specific metrics — save percentage, xG prevention, distribution — are not available in this data packet, meaning the score reflects composite reliability rather than a specific standout dimension.

Form Trajectory

Form score of 65.77 sits just 0.85 points below the FQ score of 66.62 — well within the ±5 stable band. No meaningful decline or upward momentum is present; output is flat and predictable.

Similar Profiles
Players with comparable scoring profiles in the same role
Alisson Ramsés Becker

Near-identical FQ score of 66.74 places them at the same tier this season; Alisson's reputation and historical peak far exceed what this current score reflects, highlighting how form-based scoring can converge players across different calibre profiles.

Compare →
Martin Dúbravka
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

6 metrics surfaced
Appearances
29
Minutes
2488
Key passes
1
Rating
6.80
Tackles
1
Clean sheets
7
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2488 minutes suggest a significant current role in the squad rotation.
Save load
87 saves suggest a significant shot-stopping workload in current coverage.
Strengths
2 Seasons Ago
TQ 62.1Form 61.9
Previous
TQ 75.4Form 75.5
Current
TQ 68.8Form 69.0
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.04
Tackles
0.04
Rating
6.79

FQ score of 66.27 makes Dúbravka the closest comparable in terms of current output level; both sit in the adequate-starter band, though Dúbravka's role as a backup/rotation keeper gives his score a different positional context.

Compare →
Paulo Dino Gazzaniga

FQ score of 66.21 reflects a similar mid-tier consistency profile; Gazzaniga operates in a lower-pressure environment than a full Premier League starter, making the score convergence notable.

Compare →
Where this player is genuinely above baseline
No clearly elite traits identified in current data.
Watchpoints
Real gaps relative to this player's role
No notable gaps identified for this role.
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 →