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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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Pulling current player details into TactiQ.

Player Profile

Jens Stage

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

Current Team
Werder Bremen
Position
Central Midfield
Also: Central Midfielder
Date of Birth
Nov 8, 1996 (29)
Jersey Number
#6
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Jens Stage
Jens Stage
Current profile snapshot
Current Team
Werder Bremen
Position
Central Midfield
Also: Central Midfielder
Date of Birth
Nov 8, 1996 (29)
Jersey Number
#6
TactiQ Score
70.1
92% confidence
TactiQ Score v2
70.1
Form Score
65.4
Confidence
92%
Role
central_midfielder
League
Bundesliga
Per 90 minutes
Goals
0.38
Assists
0.08
Key Pass
0.98
Tackles
1.44
Rating
7.12
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga central midfielder sitting at an FQ Score of 50.78 — squarely in the typical performer band, with no standout dimension pulling the profile above the median. The most notable data point is what is absent: all role-specific sub-scores (creation, progression, defense) are null, meaning no single area of midfield contribution registers as measurably above baseline. Per-90 numbers tell a functional story — 1.01 key passes, 1.5 tackles, and a 7.15 average rating — but nothing that separates this player from a standard Bundesliga starter.

Why this score

The FQ Score of 50.78 is driven primarily by the absence of any sub-score above threshold across creation, progression, and defense — all return null, indicating no dimension of midfield output is registering as a clear strength. The per-90 profile is functional but undifferentiated for the role.

Form Trajectory

Form score of 50.12 sits just 0.66 points below the FQ Score of 50.78 — well within the ±5 stable band. There is no meaningful trend in either direction; this player is performing exactly in line with their established level across the current 26-match, 2,217-minute sample.

Similar Profiles
Players with comparable scoring profiles in the same role
Unai López Cabrera

Nearly identical FQ Score (50.58 vs 50.78) places both in the typical performer band for central midfielders; López Cabrera provides a useful peer benchmark but plays in a different league context.

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

10 metrics surfaced
Appearances
28
Minutes
2378
Goals
10
Assists
2
Key passes
26
Rating
7.12
Tackles
38
Shots on target
22
Successful dribbles
11
Clean sheets
5
2 Seasons Ago
TQ 64.2Form 63.8
Previous
TQ 67.9Form 67.7
Current
TQ 65.6Form 65.4
Per 90 minutes
Goals
0.38
Assists
0.08
Key Passes
0.98
Tackles
1.44
Rating
7.12
Jean-Ricner Bellegarde

Bellegarde's FQ Score of 51.33 is the closest ceiling comparison in this peer group, suggesting a marginal output edge — likely reflecting slightly stronger sub-score contributions in at least one midfield dimension.

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Sean Longstaff

Longstaff's FQ Score of 49.81 sits just below, making him the floor of this comparable set; both players occupy the same median-performer tier with no clear breakout dimension.

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Current indicators
What the live season sample is surfacing right now
Heavy minute load
2378 minutes suggest a significant current role in the squad rotation.
Direct output
12 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
38 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
Creative output

1.01 key passes per 90 is the headline creation figure, but with a null creation sub-score and just 0.08 assists per 90, the output falls short of what is expected from a central midfielder in a top-five league.

Goal contribution

0.41 goals per 90 is a notable number for a central midfielder, but without a finishing sub-score to validate it, the sample context is unclear — and 0.08 assists per 90 means the combined direct output remains limited.

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 →