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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

Moussa Niakhaté

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

Current Team
Olympique Lyonnais
Position
Centre Back
Date of Birth
Mar 8, 1996 (30)
Jersey Number
#19
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Moussa Niakhaté
Moussa Niakhaté
Current profile snapshot
Current Team
Olympique Lyonnais
Position
Centre Back
Date of Birth
Mar 8, 1996 (30)
Jersey Number
#19
TactiQ Score
71.8
93% confidence
TactiQ Score v2
71.8
Form Score
72.1
Confidence
93%
Role
center_back
League
Ligue 1
Per 90 minutes
Goals
—
Assists
0.07
Key Pass
0.45
Tackles
1.22
Rating
7.03
Multi-season trend
AI Analysis
Generated May 6, 2026

A Ligue 1 center back sitting at 51.76 on the FQ scale — squarely in the typical performer band — across 29 matches and 2,492 minutes this season. The most notable data point is what is absent: all role-critical sub-scores (defense, progression, possession control, physical duel) are null, meaning the composite score is the primary signal. At this level, the player meets some positional baselines but falls short of what is expected from a reliable starter in a competitive top-flight environment.

Why this score

The FQ score of 51.76 is driven by a mid-range composite with no sub-score granularity to identify a standout dimension. The per-90 data available — 1.19 tackles, 0.47 key passes, and a 7.04 average rating — are functional but not distinguishing figures for a center back at this level.

Form Trajectory

Form score of 52.04 sits just 0.28 points above the FQ score of 51.76 — well within the ±5 stable band. There is no meaningful upward or downward trend; this player is performing at a consistent, flat level across the current sample.

Similar Profiles
Players with comparable scoring profiles in the same role
Cristian Gabriel Romero

Romero's FQ score of 53 places him in the same typical-performer band; both players share a similar composite ceiling, though Romero's score comes with a higher-profile league context that may reflect a more demanding defensive environment.

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

8 metrics surfaced
Appearances
31
Minutes
2667
Assists
2
Key passes
14
Rating
7.05
Tackles
38
Successful dribbles
6
Clean sheets
15
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2667 minutes suggest a significant current role in the squad rotation.
2 Seasons Ago
TQ 62.6Form 63.1
Previous
TQ 70.0Form 70.5
Current
TQ 71.7Form 72.1
Per 90 minutes
Goals
—
Assists
0.07
Key Passes
0.45
Tackles
1.22
Rating
7.03
Kevin Diks

Diks scores 50.48, nearly identical to this player's 51.76, reflecting comparable overall output; the key difference is positional versatility — Diks operates across the backline rather than as a specialist center back.

Compare →
Adam Dźwigała

Dźwigała's 50.11 FQ score is the closest match in the comparable set, suggesting a similar tier of center back contribution; both sit just above the fringe threshold with limited elite-dimension separation.

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Defensive activity
38 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
15 clean sheets are surfacing in the current live snapshot.
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
Defensive output visibility

All defensive sub-scores (tackles, interceptions, duels, aerial) are null despite 91% data completeness. The only available defensive signal is 1.19 tackles per 90, which is a thin basis for evaluating a center back's core function and limits confidence in any positive defensive read.

Progression and creation contribution

Key passes sit at 0.47 per 90 and assists at 0.07 — modest output for a modern center back expected to contribute to build-up. With progression sub-score also null, there is no data to suggest this player is an active ball-carrier or distributor from deep.

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 →