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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

Jesper Karlström

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

Current Team
Udinese
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jun 21, 1995 (30)
Jersey Number
#8
League
Serie A
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Jesper Karlström
Jesper Karlström
Current profile snapshot
Current Team
Udinese
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jun 21, 1995 (30)
Jersey Number
#8
TactiQ Score
65.4
85% confidence
TactiQ Score v2
65.4
Form Score
65.6
Confidence
85%
Role
defensive_midfielder
League
Serie A
Per 90 minutes
Goals
0.03
Assists
—
Key Pass
0.48
Tackles
1.59
Rating
6.69
Multi-season trend
AI Analysis
Generated May 6, 2026

A defensive midfielder in Serie A sitting at an FQ Score of 47.45 — squarely in the fringe-to-typical range, below what is expected of a consistent starter at this level. The most notable data point is the near-complete absence of dimensional sub-scores, which prevents any granular read on where value is or isn't being generated. What is visible — 1.61 tackles per 90 and a 6.66 average match rating across 2,914 minutes — paints a picture of a player contributing at a low-to-moderate baseline without standout output in any area.

Why this score

The FQ Score of 47.45 is driven primarily by below-baseline overall production for the defensive midfielder role, with no sub-score above 70 — in fact, all dimensional sub-scores (finishing, creation, progression, defense) returned null, meaning no single area could be identified as a genuine strength pulling the score upward. The score confidence of 0.82 over 33 matches confirms this is a reliable signal, not a small-sample artifact.

Form Trajectory

Form score of 47.53 sits just 0.08 above the FQ Score of 47.45 — a delta well within the ±5 stable band. There is no upward or downward momentum; this player has been consistently performing at this level throughout the season.

Similar Profiles
Players with comparable scoring profiles in the same role
Tomáš Souček

Souček's FQ Score of 47.62 places him at virtually the same overall level; both players operate as defensive midfielders with similar aggregate output, though Souček's profile in a different league context may reflect different positional demands.

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

9 metrics surfaced
Appearances
34
Minutes
3004
Goals
1
Key passes
16
Rating
6.69
Tackles
53
Shots on target
2
Successful dribbles
10
Clean sheets
10
Current indicators
What the live season sample is surfacing right now
Previous
TQ 66.9Form 67.7
Current
TQ 64.5Form 65.6
Per 90 minutes
Goals
0.03
Assists
—
Key Passes
0.48
Tackles
1.59
Rating
6.69
Rodrigo Bentancur Colmán

Bentancur Colmán scores 47.94, marginally above this player, and shares the defensive midfielder role bucket; the key difference is Bentancur Colmán's history in higher-profile club environments, which may weight his comparable score differently.

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Florentino Ibrain Morris Luís

Florentino's 48.11 FQ Score is the closest ceiling in this comparable set; like this player, he is a defensive-first midfielder operating near the typical-performer threshold, though Florentino has shown more defined defensive sub-score data in prior evaluations.

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Heavy minute load
3004 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
53 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
10 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

1.61 tackles per 90 is the only visible defensive metric, and without a defense sub-score to contextualise it, this figure sits below what would typically anchor a defensive midfielder's value case in Serie A. No interception or duel-won data is surfaced.

Attacking contribution

0.49 key passes per 90 and 0.03 goals per 90 represent minimal offensive involvement — expected for the role, but the absence of a creation sub-score means there is no compensating playmaking dimension to offset the low defensive visibility.

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 →