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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

Phillip Tietz

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

Current Team
FSV Mainz 05
Position
Centre Forward
Also: Striker
Date of Birth
Jul 9, 1997 (28)
Jersey Number
#20
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Phillip Tietz
Phillip Tietz
Current profile snapshot
Current Team
FSV Mainz 05
Position
Centre Forward
Also: Striker
Date of Birth
Jul 9, 1997 (28)
Jersey Number
#20
TactiQ Score
66.6
74% confidence
TactiQ Score v2
66.6
Form Score
62.2
Confidence
74%
Role
striker
League
Bundesliga
Per 90 minutes
Goals
0.25
Assists
0.12
Key Pass
0.99
Tackles
0.49
Rating
6.78
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga striker sitting at 48.9 on the FQ scale — below the 50-59 typical performer band and well short of the 60+ adequate starter threshold. The most distinctive feature of this profile is what is absent: all sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning the composite score is the primary signal. At 0.20 goals per 90 across 1,371 minutes this season, goal production is the clearest on-pitch concern for a player in this role.

Why this score

The FQ Score of 48.9 is driven by below-baseline output for a striker role — 0.20 goals per 90 is low for the position, and the absence of all granular sub-scores prevents any offsetting strength from surfacing. With no finishing, creation, or progression sub-scores available, the composite score carries the full weight of the assessment.

Form Trajectory

Form score of 43.08 sits 5.82 points below the FQ score of 48.9 — a soft decline by the platform's threshold (5–10 point gap). This indicates recent performances have been running below the season baseline, adding a cautionary note to an already below-average overall rating.

Similar Profiles
Players with comparable scoring profiles in the same role
Callum Eddie Graham Wilson

Wilson's FQ score of 49.41 places him in the same below-50 band, making him a close composite peer; the key difference is Wilson's profile context and league environment, which may explain similar output levels through different underlying mechanisms.

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

10 metrics surfaced
Appearances
18
Minutes
1536
Goals
4
Assists
2
Key passes
17
Rating
6.79
Tackles
8
Shots on target
21
Successful dribbles
10
Clean sheets
2
2 Seasons Ago
TQ 64.0Form 66.4
Previous
TQ 65.7Form 67.2
Current
TQ 60.5Form 62.2
Per 90 minutes
Goals
0.25
Assists
0.12
Key Passes
0.99
Tackles
0.49
Rating
6.78
Mostafa Mohamed Ahmed Abdallah

Mostafa's FQ score of 47.95 is nearly identical, reflecting a comparable level of striker output; he differs in that his profile may carry a higher-volume shot context depending on his club role.

Compare →
Oliver Burke

Burke's FQ score of 47.87 is the closest in the comparable set, suggesting similar composite production; Burke's profile historically skews toward physical and progression contributions rather than pure finishing, which may distinguish the two if sub-scores were available.

Compare →
Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
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
Goal production

0.20 goals per 90 across 1,371 minutes (16 matches) is below what is expected of a Bundesliga striker. No xG or conversion data is available to determine whether this reflects poor finishing efficiency or low shot volume, but the output figure alone is a meaningful gap for the role.

Key pass volume

0.98 key passes per 90 is the standout per-90 figure in this profile, but without a creation sub-score to contextualise it, it is unclear whether this reflects a genuine secondary contribution or simply a low-finishing striker drifting into build-up areas at the cost of goal threat.

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 →