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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

Martin Frese

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

Current Team
Hellas Verona
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Jan 4, 1998 (28)
Jersey Number
#3
League
Serie A
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Martin Frese
Martin Frese
Current profile snapshot
Current Team
Hellas Verona
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Jan 4, 1998 (28)
Jersey Number
#3
TactiQ Score
70.7
78% confidence
TactiQ Score v2
70.7
Form Score
67.9
Confidence
78%
Role
fullback_wingback
League
Serie A
Per 90 minutes
Goals
0.08
Assists
—
Key Pass
1.24
Tackles
2.94
Rating
6.89
Multi-season trend
AI Analysis
Generated May 6, 2026

A Serie A fullback/wingback sitting at 52.63 on the FQ scale — squarely in the typical performer band — with 2,080 minutes across 27 matches this season providing a reliable read. The most notable on-ball output is 1.3 key passes per 90, which sits above what most defensive fullbacks produce, while 2.94 tackles per 90 reflects consistent defensive engagement. No sub-score breakdown is available, which limits how precisely strengths and weaknesses can be isolated.

Why this score

With all role-specific sub-scores (finishing, creation, progression, defense) returning null, the FQ score of 52.63 is driven primarily by aggregate output metrics rather than dimensional quality. The 0.09 goals per 90 and a 6.87 average match rating anchor the score in the typical-performer range, with no single dimension pulling it meaningfully higher.

Form Trajectory

Form score of 56.19 sits 3.6 points above the FQ score of 52.63 — within the ±5 stable band, but nudging toward a modest upward trend. This suggests recent performances are slightly outpacing the season-long baseline, though not by a margin that signals a clear breakout.

Similar Profiles
Players with comparable scoring profiles in the same role
Kieran Trippier

Both sit within a narrow FQ band (Trippier at 52.87 vs. 52.63 here), reflecting functional fullback output at a similar level; Trippier's profile is historically more creation-heavy, which this player's 1.3 key passes per 90 partially mirrors but cannot be confirmed at the same volume without sub-scores.

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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

8 metrics surfaced
Appearances
29
Minutes
2260
Goals
2
Key passes
30
Rating
6.89
Tackles
76
Shots on target
11
Clean sheets
5
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2260 minutes suggest a significant current role in the squad rotation.
Previous
TQ 64.0Form 64.0
Current
TQ 68.1Form 67.9
Per 90 minutes
Goals
0.08
Assists
—
Key Passes
1.24
Tackles
2.94
Rating
6.89
Ainsley Maitland-Niles

Maitland-Niles (51.95) shares the typical-performer FQ range and a versatile fullback/wingback role bucket, though his profile carries more positional ambiguity than the clearer role definition seen here.

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José Diogo Dalot Teixeira

Dalot (53.63) is the closest FQ match in this comparable set and operates in a similar attacking fullback mold; the marginal gap of just 1 point suggests near-identical overall output levels, with Dalot's higher score likely reflecting stronger sub-score data availability.

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Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
76 tackles indicate active intervention volume in the current season sample.
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
Sub-score visibility

All four role-specific sub-scores (finishing, creation, progression, defense) are null, meaning the FQ score cannot be decomposed into dimensional strengths. This limits confidence in identifying where the player is genuinely above or below positional baseline.

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 →