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

Jonathan Clauss

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

Current Team
Nice
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Sep 25, 1992 (33)
Jersey Number
#92
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Jonathan Clauss
Jonathan Clauss
Current profile snapshot
Current Team
Nice
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Sep 25, 1992 (33)
Jersey Number
#92
TactiQ Score
75.8
91% confidence
TactiQ Score v2
75.8
Form Score
71.7
Confidence
91%
Role
fullback_wingback
League
Ligue 1
Per 90 minutes
Goals
0.04
Assists
0.23
Key Pass
2.25
Tackles
2.44
Rating
7.14
Multi-season trend
AI Analysis
Generated Apr 30, 2026

An adequate Ligue 1 fullback/wingback sitting at 64.05 on the FQ scale — squarely in the "adequate starter with clear gaps" band. The most distinctive signal here is attacking involvement: 2.25 key passes per 90 and 0.23 assists per 90 point to a player who contributes meaningfully in the final third for a defensive role. At 28 matches and 2,363 minutes, this is a well-established sample, not a small-game artifact.

Why this score

With all role-specific sub-scores (defense, progression, creation, finishing) returning null, the FQ score of 64.05 is driven primarily by aggregate per-90 output rather than dimensional profiling. The 7.14 average match rating across 28 appearances reflects consistent, baseline-level contribution without a standout dimension pulling the score higher.

Form Trajectory

Form score of 65.46 sits just 1.41 points above the FQ score of 64.05 — well within the ±5 stable band. There is no meaningful upward or downward trend; this player is performing at their established level.

Similar Profiles
Players with comparable scoring profiles in the same role
Maximilian Mittelstädt

Both score in the 64–65 FQ range as attacking-minded fullbacks/wingbacks; Mittelstädt operates in a higher-profile league context which may account for his marginally higher 64.86 score.

Compare →
David Raum
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

10 metrics surfaced
Appearances
29
Minutes
2453
Goals
1
Assists
6
Key passes
62
Rating
7.12
Tackles
66
Shots on target
6
Successful dribbles
27
Clean sheets
4
2 Seasons Ago
TQ 69.9Form 69.6
Previous
TQ 72.7Form 71.7
Current
TQ 71.8Form 71.7
Per 90 minutes
Goals
0.04
Assists
0.23
Key Passes
2.25
Tackles
2.44
Rating
7.14

Raum's 63.21 FQ score reflects a near-identical output tier for the fullback/wingback role; the key difference is Raum's profile is built in a more defensively structured system, whereas this player's 2.25 key passes per 90 suggests a more open attacking environment.

Compare →
Alejandro Grimaldo García

Grimaldo's 67.56 FQ score represents the ceiling of this comparable group and illustrates the gap between adequate and above-average for the role; his higher score likely reflects stronger dimensional sub-score performance that this player's null sub-scores cannot currently match.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2453 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
66 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
Defensive sub-score visibility

All defensive sub-scores are null, meaning defensive solidity — the primary expectation for a fullback/wingback — cannot be verified dimensionally. The 2.44 tackles per 90 is a positive raw indicator, but without a calibrated sub-score, defensive quality relative to role baseline remains unconfirmed.

Progression & creation ceiling

Progression and creation sub-scores are both null, limiting assessment of whether the 2.25 key passes per 90 reflects genuine creative quality or high-volume, low-efficiency delivery. For a wingback role, this gap in dimensional data is a meaningful blind spot.

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 →