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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

Mathew Ryan

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

Current Team
Levante
Position
Goalkeeper
Date of Birth
Apr 8, 1992 (34)
Jersey Number
#13
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Mathew Ryan
Mathew Ryan
Current profile snapshot
Current Team
Levante
Position
Goalkeeper
Date of Birth
Apr 8, 1992 (34)
Jersey Number
#13
TactiQ Score
75.4
91% confidence
TactiQ Score v2
75.4
Form Score
71.3
Confidence
91%
Role
goalkeeper
League
La Liga
Per 90 minutes
Goals
—
Assists
—
Key Pass
—
Tackles
0.06
Rating
7.11
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A La Liga goalkeeper sitting at 56.55 on the FQ scale — adequate starter territory, but recent form tells a meaningfully different story. The most distinctive feature of this profile is not the baseline score but the 16.5-point gap between the FQ score and current form score (73.05), one of the larger positive deltas in the dataset. Goalkeeper-specific metrics (saves, clean sheets, save percentage) are absent from the evidence packet, which limits how precisely the shot-stopping quality can be characterised.

Why this score

The FQ score of 56.55 is anchored by the absence of goalkeeper-specific sub-scores — saves, xG prevented, and clean sheet rate are all missing, leaving the model without the primary dimensions that separate good goalkeepers from average ones. The 7.14 average match rating and 0.07 tackles per 90 are the only per-90 signals available, which is a thin basis for a higher score regardless of form.

Form Trajectory

Form is on a sharply upward trajectory: the current form score of 73.05 sits 16.5 points above the multi-season FQ score of 56.55, the clearest signal in this profile. Score confidence is high at 0.89, which reduces the likelihood this is noise — the improvement appears genuine, though data is 46 hours old and may not capture the very latest matches.

Similar Profiles
Players with comparable scoring profiles in the same role
Lukáš Hradecký

Hradecký (FQ 58.12) sits in the same adequate-starter band and similarly lacks elite sub-score separation; the key difference is Hradecký's longer track record at top-flight level provides a more stable baseline than this player's current form-driven surge.

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
33
Minutes
2970
Rating
7.11
Tackles
2
Clean sheets
8
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2970 minutes suggest a significant current role in the squad rotation.
Defensive outcomes
8 clean sheets are surfacing in the current live snapshot.
Save load
112 saves suggest a significant shot-stopping workload in current coverage.
2 Seasons Ago
TQ 70.2Form 70.0
Previous
TQ 72.1Form 72.3
Current
TQ 71.3Form 71.4
Per 90 minutes
Goals
—
Assists
—
Key Passes
—
Tackles
0.06
Rating
7.11
Sam Johnstone

Johnstone (FQ 54.71) is the closest floor comparison — both occupy the 50-59 typical-performer range with limited sub-score differentiation; this player's current form score of 73.05 currently places them meaningfully above Johnstone's trajectory.

Compare →
Ionuț Andrei Radu

Radu (FQ 58.61) is the nearest ceiling peer in this comparable set, marginally outscoring this player on the baseline FQ; the distinction is that Radu's score reflects a more settled historical sample, whereas this player's profile is defined by a large upward form delta.

Compare →
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
Goalkeeper-specific output

Saves, clean sheets, save percentage, and xG prevented are all absent from the evidence packet. With these being the primary value drivers for any goalkeeper, the model cannot confirm shot-stopping quality above baseline — the 56.55 FQ score reflects this data gap as much as it reflects actual performance.

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 →