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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.

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World Cup as the launch amplifier
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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

Manuel Locatelli

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

Current Team
Juventus
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jan 8, 1998 (28)
Jersey Number
#5
League
Serie A
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Manuel Locatelli
Manuel Locatelli
Current profile snapshot
Current Team
Juventus
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jan 8, 1998 (28)
Jersey Number
#5
TactiQ Score
78.6
97% confidence
TactiQ Score v2
78.6
Form Score
76.3
Confidence
97%
Role
defensive_midfielder
League
Serie A
Per 90 minutes
Goals
0.03
Assists
0.06
Key Pass
1.43
Tackles
2.99
Rating
7.39
Multi-season trend
AI Analysis
Generated May 10, 2026

A reliable, multi-dimensional defensive midfielder in Serie A with a TQ Score of 88.64 — placing him in the elite tier and a clear standout at his position. His profile is built on high-volume defensive and physical output rather than any single dominant statistical spike, with a 7.39 average rating across 34 matches (2,826 minutes) underpinning consistent all-round contribution.

Why this score

The score is driven by the combination of strong duel volume (5.61 duels won/90 at 59% success) and active defensive engagement (2.99 tackles/90, 2.29 clearances/90), which together position him well above baseline for the defensive midfielder role. The absence of sub-scores prevents pinpointing a single dimension, but the consensus across all three specialist agents — unanimous at 0.92 confidence — reflects a genuinely well-rounded profile rather than a one-category outlier.

Form Trajectory

Form score of 87.05 sits just 1.59 points below the TQ Score of 88.64 — well within the ±5 stable band. There is no meaningful decline signal; output across the current 34-match season is consistent with his established level.

Similar Profiles
Players with comparable scoring profiles in the same role
Anton Stach

Both are high-volume defensive midfielders operating at a similar TQ level (Stach 87.92 vs 88.64), built on defensive engagement and modest creation; Stach edges ahead on progressive ball-carrying in his 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
34
Minutes
2826
Goals
1
Assists
2
Key passes
45
Rating
7.40
Tackles
96
Shots on target
11
Successful dribbles
11
Clean sheets
16
2 Seasons Ago
TQ 72.7Form 73.3
Previous
TQ 73.4Form 73.8
Current
TQ 75.8Form 76.4
Per 90 minutes
Goals
0.03
Assists
0.06
Key Passes
1.43
Tackles
2.99
Rating
7.39
James Garner

Garner (87.79) shares the multi-dimensional DM profile with comparable key pass output, but operates in a higher-pressing system that inflates his defensive action counts relative to a Serie A environment.

Compare →
Granit Xhaka

Xhaka (86.63) is the closest stylistic reference — a duel-active, creation-contributing DM — though Xhaka's role in Leverkusen's system gives him significantly more progressive passing responsibility.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2826 minutes suggest a significant current role in the squad rotation.
Strong current rating
Live rating sits at 7.40 in the current season snapshot.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
96 tackles indicate active intervention volume in the current season sample.
Strengths
Where this player is genuinely above baseline
Defensive & physical output

2.99 tackles/90 and 5.61 duels won/90 at a 59% success rate represent above-average ball-winning volume for a Serie A defensive midfielder. 2.29 clearances/90 further confirms consistent defensive engagement across 34 appearances.

Creative contribution for role

1.43 key passes/90 and 0.16 big chances created/90 sit above the typical expectation for a defensive midfielder, indicating a meaningful forward-facing dimension without role confusion.

Watchpoints
Real gaps relative to this player's role
Aerial presence

1.05 aerials won/90 is modest for a physically active midfielder. In a role where duels are central, limited aerial dominance can be a liability against sides that look to bypass the midfield line through long balls.

Goal contribution

0.03 goals/90 and 0.06 assists/90 combine for just 0.09 G+A/90. While low output is expected for a DM, this figure sits at the lower end even for the role and limits his ceiling in systems that demand midfield 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 →