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

Oliver Burke

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

Current Team
FC Union Berlin
Position
Centre Forward
Also: Striker
Date of Birth
Apr 7, 1997 (29)
Jersey Number
#7
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Oliver Burke
Oliver Burke
Current profile snapshot
Current Team
FC Union Berlin
Position
Centre Forward
Also: Striker
Date of Birth
Apr 7, 1997 (29)
Jersey Number
#7
TactiQ Score
63.5
83% confidence
TactiQ Score v2
63.5
Form Score
59.3
Confidence
83%
Role
striker
League
Bundesliga
Per 90 minutes
Goals
0.30
Assists
0.06
Key Pass
1.14
Tackles
0.66
Rating
6.72
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga striker sitting at 47.87 on the FQ scale — below the 50-point adequacy threshold and in the fringe-to-typical range for the role. His 0.32 goals per 90 is the most telling number: for a primary striker, that output falls short of what the position demands. With 26 appearances and 1,410 minutes this season, the sample is meaningful enough (confidence: 0.79) that this is a genuine performance read, not statistical noise.

Why this score

The FQ Score of 47.87 is driven primarily by below-baseline attacking production — 0.32 goals per 90 and 0.06 assists per 90 represent insufficient direct output for a striker. All sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, which prevents a more precise diagnosis but does not obscure the headline: the overall score reflects a player not meeting positional production standards.

Form Trajectory

Form score of 49.13 sits just 1.26 points above the FQ Score of 47.87 — well within the ±5 stable band. There is no meaningful upward or downward trend; output has been flat and consistently below the 50-point adequacy line throughout the season.

Similar Profiles
Players with comparable scoring profiles in the same role
Mostafa Mohamed Ahmed Abdallah

Nearly identical FQ Score (47.95 vs 47.87) places both in the same below-average striker band; Mostafa edges this player marginally on overall rating but the gap is negligible.

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

10 metrics surfaced
Appearances
28
Minutes
1588
Goals
6
Assists
1
Key passes
21
Rating
6.76
Tackles
13
Shots on target
14
Successful dribbles
12
Clean sheets
4
2 Seasons Ago
TQ 46.8Form 47.1
Previous
TQ 67.1Form 68.0
Current
TQ 58.8Form 59.3
Per 90 minutes
Goals
0.30
Assists
0.06
Key Passes
1.14
Tackles
0.66
Rating
6.72
Philipp Hofmann

Hofmann's FQ Score of 46.83 reflects a similar production profile — a striker operating below the adequacy threshold — though Hofmann's profile is typically more physical and aerial-oriented than this player's.

Compare →
Jamie Vardy

Vardy's current FQ Score of 46.38 puts him in the same fringe range, though his decline is age-related and from a much higher career baseline, whereas this player's position in this band reflects a different career context.

Compare →
Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
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 output

0.32 goals per 90 across 1,410 minutes is below what is expected of a primary striker in the Bundesliga. Over 26 matches, this translates to a low absolute return that is consistent with the sub-50 FQ Score rather than a small-sample anomaly.

Attacking creation

0.06 assists per 90 indicates minimal contribution to chance creation beyond his own finishing. His 1.15 key passes per 90 offers some involvement in build-up, but for a striker this volume does not compensate for the lack of direct goal threat.

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 →