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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

Christian Pulisic

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

Current Team
AC Milan
Position
Right Wing
Also: Winger
Date of Birth
Sep 18, 1998 (27)
Jersey Number
#11
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Christian Pulisic
Christian Pulisic
Current profile snapshot
Current Team
AC Milan
Position
Right Wing
Also: Winger
Date of Birth
Sep 18, 1998 (27)
Jersey Number
#11
TactiQ Score
74.3
84% confidence
TactiQ Score v2
74.3
Form Score
69.9
Confidence
84%
Role
winger
League
Serie A
Per 90 minutes
Goals
0.46
Assists
0.17
Key Pass
2.14
Tackles
0.81
Rating
7.10
Multi-season trend
AI Analysis
Generated May 8, 2026

A Serie A winger sitting at 73.52 TQ Score — above-average for the position and placing them in the consistent-starter tier. The most distinctive data point is a key pass rate of 2.13 per 90, which stands out as the clearest production signal available. At 0.47 goals and 0.18 assists per 90, direct output is present but not the defining feature of this profile.

Why this score

The 73.52 TQ Score is driven by a broadly solid per-90 profile — particularly the 2.13 key passes per 90 and a 7.12 average rating — rather than any single elite dimension. All sub-scores (finishing, creation, progression, defense) are null, meaning the score reflects aggregate output without dimensional breakdown, which caps analytical precision.

Form Trajectory

Form score of 71.36 sits 2.16 points below the TQ Score of 73.52 — within the ±5 stable band, so this is not a meaningful concern, but the direction is mildly negative. No acceleration in form is evident from the current data window.

Similar Profiles
Players with comparable scoring profiles in the same role
Mohamed Salah Ghaly

Both profile as output-oriented wingers with TQ Scores in the 73–75 range, though Salah Ghaly's 74.67 edges higher; the key difference is Salah Ghaly's profile is built on a more established goal-scoring record, whereas this player's clearest signal is chance creation volume.

Compare →
Raphael Dias Belloli
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
1554
Goals
8
Assists
3
Key passes
37
Rating
7.10
Tackles
14
Shots on target
24
Successful dribbles
27
Clean sheets
12
2 Seasons Ago
TQ 72.3Form 73.2
Previous
TQ 74.2Form 74.8
Current
TQ 69.5Form 69.9
Per 90 minutes
Goals
0.46
Assists
0.17
Key Passes
2.14
Tackles
0.81
Rating
7.10

Comparable in positional role and scoring tier, with Belloli's 77.51 TQ Score reflecting a higher ceiling; Belloli's profile likely carries stronger progression and creation sub-scores, representing the next performance level for this player to target.

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Bukayo Saka

Both operate as wide attackers contributing across goals, assists, and key passes, but Saka's 77.74 TQ Score reflects a more complete and consistent multi-dimensional profile; the gap highlights where this player's ceiling sits relative to elite-tier wingers.

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Current indicators
What the live season sample is surfacing right now
Direct output
11 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive outcomes
12 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
Attacking output balance

With 0.47 goals and 0.18 assists per 90, direct goal contributions are present but modest for a winger. Without finishing or creation sub-scores, it is unclear whether production is concentrated in chance creation (2.13 key passes per 90 suggests this) or spread across all attacking dimensions.

Defensive engagement

0.83 tackles per 90 is a trackable number for a winger, but without a defense sub-score it cannot be benchmarked against role expectations. For a Serie A winger, this level of defensive work is worth monitoring given the league's pressing demands.

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 →