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

Thilo Kehrer

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

Current Team
Monaco
Position
Centre Back
Date of Birth
Sep 21, 1996 (29)
Jersey Number
#5
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Thilo Kehrer
Thilo Kehrer
Current profile snapshot
Current Team
Monaco
Position
Centre Back
Date of Birth
Sep 21, 1996 (29)
Jersey Number
#5
TactiQ Score
72.4
88% confidence
TactiQ Score v2
72.4
Form Score
66.6
Confidence
88%
Role
center_back
League
Ligue 1
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.24
Tackles
2.43
Rating
6.92
Multi-season trend
AI Analysis
Generated May 6, 2026

A Ligue 1 center-back sitting at an FQ Score of 51.52 — squarely in the typical performer range — with no sub-scores available to diagnose dimensional strengths or weaknesses. Across 25 matches and 2,167 minutes this season, the most visible output is 2.49 tackles per 90 and a 6.92 average match rating, which are the primary anchors for this evaluation. The absence of a defense sub-score is a meaningful analytical constraint for a player whose entire value proposition is defensive.

Why this score

The FQ Score of 51.52 reflects a below-baseline profile for a center-back, compounded by the fact that all role-critical sub-scores (defense, progression, physical duel) are null — meaning the score is driven largely by surface-level metrics like tackles per 90 (2.49) and match rating (6.92) rather than a full dimensional picture. The contested specialist consensus (agreement status: contested, consensus confidence: 0.52) further signals genuine uncertainty about where this player truly stands.

Form Trajectory

Form score of 50.37 sits 1.15 points below the FQ Score of 51.52 — within the ±5 stable band, indicating no meaningful upward or downward momentum. Performance has been consistent rather than trending in either direction across the current sample.

Similar Profiles
Players with comparable scoring profiles in the same role
Kevin Diks

Diks carries a near-identical FQ Score of 50.48, placing both players in the same typical-performer tier; Diks operates as a fullback rather than a center-back, meaning his score reflects a different defensive and progressive profile.

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.

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

8 metrics surfaced
Appearances
27
Minutes
2337
Key passes
6
Rating
6.91
Tackles
66
Shots on target
1
Successful dribbles
4
Clean sheets
7
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2337 minutes suggest a significant current role in the squad rotation.
2 Seasons Ago
TQ 68.9Form 68.8
Previous
TQ 71.9Form 72.2
Current
TQ 66.3Form 66.6
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.24
Tackles
2.43
Rating
6.92
Adam Dźwigała

Dźwigała's FQ Score of 50.11 makes him the closest overall match in this peer group, suggesting a similarly limited ceiling at this stage; the key distinction is league context, which may account for marginal scoring differences.

Compare →
Cristian Gabriel Romero

Romero scores 53.00 — roughly 1.5 points higher — representing the upper edge of this comparable cluster; that gap, while small in absolute terms, may reflect marginally stronger defensive output or progression metrics in his dataset.

Compare →
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 output visibility

All defensive sub-scores are null — there is no data on duel success rate, aerial dominance, or interception volume. For a center-back, this is the core production gap: 2.49 tackles per 90 is the only defensive signal available, and without a defense sub-score benchmark, it cannot be contextualised against role expectations.

Creative and progressive contribution

Key passes sit at just 0.25 per 90, and both creation and progression sub-scores are null. For a modern center-back expected to contribute to build-up, this surface figure suggests limited involvement in advancing play, though thin sub-score data prevents a definitive verdict.

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 →