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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

Mostafa Mohamed

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

Current Team
Nantes
Position
Centre Forward
Also: Striker
Date of Birth
Nov 28, 1997 (28)
Jersey Number
#31
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Mostafa Mohamed
Mostafa Mohamed
Current profile snapshot
Current Team
Nantes
Position
Centre Forward
Also: Striker
Date of Birth
Nov 28, 1997 (28)
Jersey Number
#31
TactiQ Score
64.6
77% confidence
TactiQ Score v2
64.6
Form Score
59.5
Confidence
77%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.31
Assists
—
Key Pass
0.78
Tackles
0.78
Rating
6.73
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level Ligue 1 striker sitting at 47.95 on the FQ scale — below the threshold of a reliable starter. Across 23 matches and 1,144 minutes this season, output is limited to 0.31 goals per 90 and 0.79 key passes per 90, with no sub-score data available to identify any standout dimension. At this level of the scale, the profile reflects inconsistent or low-volume production rather than a clear positional identity.

Why this score

The FQ score of 47.95 is driven primarily by below-baseline aggregate production for a striker role — 0.31 goals per 90 is modest output, and all role-defining sub-scores (finishing, creation, progression) are null, meaning no single dimension is pulling the score upward. The absence of those dimensional scores itself reflects a profile without a measurable elite quality.

Form Trajectory

Form score of 43.86 sits 4.09 points below the FQ score of 47.95 — within the ±5 range, technically stable, but trending toward soft decline from an already modest baseline. There is no recent upturn in the data to suggest a reversal.

Similar Profiles
Players with comparable scoring profiles in the same role
Oliver Burke

Burke's FQ score of 47.87 is nearly identical, reflecting a similarly fringe-level output profile; Burke, however, is more associated with physical directness, whereas this player's 0.79 key passes per 90 suggests a slightly greater involvement in build-up.

Compare →
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
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

9 metrics surfaced
Appearances
24
Minutes
1152
Goals
4
Key passes
10
Rating
6.73
Tackles
10
Shots on target
8
Successful dribbles
3
Clean sheets
3
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 65.8Form 66.0
Previous
TQ 62.4Form 64.2
Current
TQ 58.1Form 59.5
Per 90 minutes
Goals
0.31
Assists
—
Key Passes
0.78
Tackles
0.78
Rating
6.73
Philipp Hofmann

Hofmann's FQ score of 46.83 places him in the same below-50 tier; Hofmann's profile leans on aerial and physical duels, a dimension not confirmed here due to null sub-scores.

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Callum Eddie Graham Wilson

Wilson's FQ score of 49.41 is the closest ceiling in this comparable set; Wilson has historically shown more defined finishing metrics, which distinguishes him from this player's currently unquantifiable conversion profile.

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Season sample available
24 appearances are currently surfaced by the live data layer.
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 output

0.31 goals per 90 across 1,144 minutes is below what is expected of a reliable Ligue 1 striker. The finishing sub-score is unavailable, but this rate alone signals insufficient end-product for the primary role demand.

Role-defining metrics absent

Finishing, creation, and progression sub-scores are all null. For a striker, the inability to measure conversion efficiency or movement quality leaves the profile without any confirmed strength — a meaningful gap in itself.

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 →