TactiQ
Sign InGet Started
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.

Deterministic scoringMulti-agent consensus gatedPublication gate active
Core
PlayersClubsMatchesWorld Cup 2026Roadmap
Product
CompareRankingsForecastMethodologyMembership
Legal
PrivacyTerms© 2026 TactiQ. All rights reserved.
Player Profile

Loading player profile...

Pulling current player details into TactiQ.

Player Profile

Youssef El Arabi

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
Feb 3, 1987 (39)
Jersey Number
#19
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Youssef El Arabi
Youssef El Arabi
Current profile snapshot
Current Team
Nantes
Position
Centre Forward
Also: Striker
Date of Birth
Feb 3, 1987 (39)
Jersey Number
#19
TactiQ Score
68.2
74% confidence
TactiQ Score v2
68.2
Form Score
58.2
Confidence
74%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.28
Assists
—
Key Pass
0.85
Tackles
1.14
Rating
6.66
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-tier Ligue 1 striker sitting at an FQ Score of 54.35 — squarely in the typical performer range — with 0.29 goals per 90 across 940 minutes this season. The most notable signal right now is not the baseline but the deterioration: a form score of 44.65 places recent output well below the historical level. With no sub-score granularity available, the picture is broad but consistent: adequate contribution without standout production.

Why this score

The FQ Score of 54.35 reflects a striker meeting positional baseline in some areas but lacking the volume or efficiency to push higher — 0.29 goals per 90 is below what top-tier Ligue 1 strikers produce. The absence of finishing, creation, and progression sub-scores prevents pinpointing the exact gap, but the overall output level tells a clear story.

Form Trajectory

Form score of 44.65 sits 9.7 points below the FQ Score of 54.35 — a soft-to-meaningful decline that indicates recent output is running noticeably behind the historical baseline. This is the primary concern heading into the next evaluation window.

Similar Profiles
Players with comparable scoring profiles in the same role
André Miguel Valente Silva

Comparable FQ Score (53.66 vs 54.35) reflects a similar mid-tier striker profile; Silva offers a more established top-league track record which this player has not yet matched.

Compare →
Jordan Ayew
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.

Compare Player →
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
25
Minutes
948
Goals
3
Key passes
9
Rating
6.66
Tackles
12
Shots on target
9
Successful dribbles
6
Clean sheets
3
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 67.0Form 67.0
Previous
TQ 74.8Form 75.6
Current
TQ 57.7Form 58.2
Per 90 minutes
Goals
0.28
Assists
—
Key Passes
0.85
Tackles
1.14
Rating
6.66

Close FQ alignment (51.73) points to a similar level of consistent but unspectacular striker output; Ayew's profile skews more toward hold-up and pressing contribution rather than pure finishing volume.

Compare →
Patrick Bamford

FQ Score of 51.55 places Bamford in the same performance band; the key difference is Bamford's output is heavily injury-affected, whereas this player's minutes load (940) suggests availability is not the limiting factor.

Compare →
Season sample available
25 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

0.29 goals per 90 over 940 minutes is below the threshold expected of a primary striker in Ligue 1. No finishing sub-score is available to isolate conversion efficiency, but the raw rate alone signals a production gap central to this role.

Attacking creation

0.86 key passes per 90 is the most visible creative metric available, but with no creation sub-score to contextualise it, and assists data absent entirely, it is unclear whether this represents genuine contribution or volume without end product.

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 →