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TactiQ
Football Intelligence
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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

Danel Sinani

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

Current Team
St. Pauli
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Apr 5, 1997 (29)
Jersey Number
#10
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Danel Sinani
Danel Sinani
Current profile snapshot
Current Team
St. Pauli
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Apr 5, 1997 (29)
Jersey Number
#10
TactiQ Score
69.1
80% confidence
TactiQ Score v2
69.1
Form Score
65.4
Confidence
80%
Role
attacking_midfielder_creator
League
Bundesliga
Per 90 minutes
Goals
0.22
Assists
0.13
Key Pass
2.04
Tackles
1.09
Rating
7.02
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga attacking midfielder sitting at 53.68 on the FQ scale — squarely in the typical-performer band (50-59), meeting positional baseline without exceeding it. The most distinctive data point is 2.05 key passes per 90, which anchors his value as a distributor rather than a scorer or progressive carrier. At 0.22 goals and 0.13 assists per 90, direct output is modest for the creator role.

Why this score

With all sub-scores (finishing, creation, progression, defense) returning null, the FQ score of 53.68 is driven by aggregate per-90 production — a 7.04 average rating and 2.05 key passes per 90 that signal consistent but unremarkable contribution. The absence of granular sub-scores prevents identification of any standout dimension that could push this above the 60 threshold.

Form Trajectory

Form score of 54.87 sits just 1.19 points above the FQ score of 53.68 — well within the ±5 stable band. There is no meaningful upward or downward signal; this player is performing in line with his established baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
Denis Suárez Fernández

Nearly identical FQ score (52.79 vs 53.68) reflects a similar profile of adequate Bundesliga-level creation without standout production; Suárez has historically offered more dribbling threat in tight spaces.

Compare →
Nikola Vlašić
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

10 metrics surfaced
Appearances
30
Minutes
2071
Goals
5
Assists
3
Key passes
47
Rating
7.02
Tackles
25
Shots on target
18
Successful dribbles
12
Clean sheets
5
Previous
TQ 64.3Form 64.3
Current
TQ 65.6Form 65.4
Per 90 minutes
Goals
0.22
Assists
0.13
Key Passes
2.04
Tackles
1.09
Rating
7.02

Vlašić's marginally higher FQ score (55.04) places him in the same typical-performer band, with comparable per-90 involvement; Vlašić tends to contribute more directly via goals than this player's 0.22 per 90 suggests.

Compare →
Jonas Hofmann

Hofmann's 52.69 FQ score mirrors the same baseline tier, with both players functioning as consistent but non-elite creators; Hofmann's profile leans more toward wide delivery whereas this player operates centrally.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2071 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
25 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
Goal and assist output

0.22 goals and 0.13 assists per 90 across 2,024 minutes is below what a Bundesliga attacking midfielder/creator role typically demands for a score above 60. Combined direct output of 0.35 per 90 limits his ceiling as a primary creative threat.

Creation sub-score unavailable

All four sub-scores are null, meaning creation quality — the core metric for this role — cannot be assessed dimensionally. The 2.05 key passes per 90 is the only proxy, and without xA or chance quality data, the true creation impact is uncertain.

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 →