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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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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

Marco Carnesecchi

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

Current Team
Atalanta
Position
Goalkeeper
Date of Birth
Jul 1, 2000 (25)
Jersey Number
#29
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Marco Carnesecchi
Marco Carnesecchi
Current profile snapshot
Current Team
Atalanta
Position
Goalkeeper
Date of Birth
Jul 1, 2000 (25)
Jersey Number
#29
TactiQ Score
80.6
90% confidence
TactiQ Score v2
80.6
Form Score
77.0
Confidence
90%
Role
goalkeeper
League
Serie A
Per 90 minutes
Goals
—
Assists
—
Key Pass
—
Tackles
0.03
Rating
7.05
Multi-season trend
AI Analysis
Generated May 10, 2026

A Serie A goalkeeper sitting at 93.85 on the TQ scale — top 1-2% of all scored players — with a score confidence of 0.90 across 3,150 minutes this season. The most distinctive data point is an 89% duel success rate, which stands well above typical goalkeeper benchmarks for contested physical actions. Full shot-stopping metrics (saves/90, save percentage, clean sheets) are absent from the dataset, meaning the score rests heavily on physical efficiency and a consistent 7.05 match rating across 35 appearances.

Why this score

The TQ Score of 93.85 is driven primarily by the combination of a 7.05 average match rating sustained over 35 Serie A appearances and an 89% duel success rate on 0.49 duels contested per 90 — both pointing to a highly reliable, physically efficient presence. The absence of goalkeeper-specific sub-scores (saves, clean sheets) means the model cannot fully weight shot-stopping, which is the core function of the role; the score should be read with that structural gap in mind.

Form Trajectory

Form score of 90.48 sits 3.37 points below the TQ Score of 93.85, placing this player in stable-to-slight-soft-decline territory — within normal variance for a goalkeeper and not a meaningful concern at this stage. No sub-score volatility data is available to assess whether the dip reflects a specific area of regression.

Similar Profiles
Players with comparable scoring profiles in the same role
David de Gea Quintana

Both profile as high-rating, physically efficient goalkeepers with TQ scores in the upper tier (de Gea at 89.53), though de Gea's dataset includes fuller shot-stopping metrics that this player's evaluation currently lacks.

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

6 metrics surfaced
Appearances
36
Minutes
3240
Rating
7.07
Tackles
1
Successful dribbles
1
Clean sheets
13
Current indicators
What the live season sample is surfacing right now
Heavy minute load
3240 minutes suggest a significant current role in the squad rotation.
Defensive outcomes
13 clean sheets are surfacing in the current live snapshot.
2 Seasons Ago
TQ 74.9Form 74.8
Previous
TQ 76.9Form 77.0
Current
TQ 76.9Form 77.0
Per 90 minutes
Goals
—
Assists
—
Key Passes
—
Tackles
0.03
Rating
7.05
David Soria Solís

Soria Solís (88.60) offers a comparable baseline of consistent league-level reliability, but operates in a lower-profile league context than Serie A, making a direct performance equivalence difficult.

Compare →
Marko Dmitrović

Dmitrović (87.44) shares a physically assertive profile with strong duel involvement, but his aerial output per 90 trends higher, contrasting with this player's more limited aerial presence at 0.34 per 90.

Compare →
Save load
111 saves suggest a significant shot-stopping workload in current coverage.
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
Aerial dominance

0.34 aerials won per 90 is on the lower end for a Serie A goalkeeper, suggesting limited command of the penalty area from crossed balls — a meaningful gap for a keeper operating at this level.

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 →