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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

Christopher Nkunku

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

Current Team
AC Milan
Position
Centre Forward
Also: Striker
Date of Birth
Nov 14, 1997 (28)
Jersey Number
#18
League
Serie A
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Christopher Nkunku
Christopher Nkunku
Current profile snapshot
Current Team
AC Milan
Position
Centre Forward
Also: Striker
Date of Birth
Nov 14, 1997 (28)
Jersey Number
#18
TactiQ Score
63.1
81% confidence
TactiQ Score v2
63.1
Form Score
62.2
Confidence
81%
Role
striker
League
Serie A
Per 90 minutes
Goals
0.38
Assists
0.23
Key Pass
1.00
Tackles
0.38
Rating
6.74
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-table Serie A striker sitting at 54.96 on the FQ scale — squarely in the typical performer band. His most distinctive characteristic is consistency: 0.40 goals per 90 and 0.24 assists per 90 across 1,124 minutes represent workmanlike output without a standout dimension. At this score level, he meets positional baseline expectations but does not separate himself from the average starter pool in Italy's top flight.

Why this score

With all sub-scores (finishing, creation, progression, defense, possession control, physical duel) returning null, the FQ score of 54.96 is driven entirely by composite output metrics — most critically a 0.40 goals per 90 and a 6.75 average match rating, both of which sit around the middle of the striker range without approaching the thresholds that push scores above 60. The absence of granular finishing or xG data means no efficiency edge can be credited.

Form Trajectory

Form score of 55.77 sits just 0.81 points above the FQ score of 54.96 — well within the ±5 stable band. There is no meaningful upward or downward trend; this player is performing almost exactly in line with his established level.

Similar Profiles
Players with comparable scoring profiles in the same role
André Miguel Valente Silva

Both occupy the low-to-mid 50s FQ range as strikers with consistent but unspectacular output; André Silva's 53.66 reflects a similar baseline production profile, though his career arc includes higher-volume seasons that this player has not yet matched.

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
30
Minutes
1214
Goals
6
Assists
3
Key passes
14
Rating
6.78
Tackles
5
Shots on target
14
Successful dribbles
8
Clean sheets
13
2 Seasons Ago
TQ 64.3Form 66.3
Previous
TQ 62.0Form 62.3
Current
TQ 61.5Form 62.2
Per 90 minutes
Goals
0.38
Assists
0.23
Key Passes
1.00
Tackles
0.38
Rating
6.74
Jordan Ayew

Ayew's 51.73 FQ score places him in the same typical-performer tier, with comparable workrate and modest goal returns; the key difference is Ayew's greater defensive contribution and pressing activity, which this player's 0.40 tackles per 90 does not clearly replicate.

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Patrick Bamford

Bamford's 51.55 FQ score reflects a similar ceiling in the mid-50s striker band; Bamford's profile leans more heavily on hold-up play and link-up, whereas this player's 1.04 key passes per 90 suggests a slightly more active creative role.

Compare →
Current indicators
What the live season sample is surfacing right now
Defensive outcomes
13 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
Goal output

0.40 goals per 90 over 28 matches (1,124 minutes) is below what top-tier Serie A strikers produce. For context, a score above 60 in this role typically requires both higher volume and efficiency signals — neither is visible here.

Creative contribution

1.04 key passes per 90 is a positive signal for a striker, but with a creation sub-score unavailable and an overall FQ of 54.96, this has not translated into a meaningful scoring uplift — suggesting the passes are not consistently leading to high-value chances.

Match rating floor

A 6.75 average rating across 28 appearances reflects adequate but unremarkable game-by-game impact. It is consistent with a player who contributes without regularly influencing outcomes.

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 →