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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

Guillermo Maripán

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

Current Team
Torino
Position
Centre Back
Date of Birth
May 6, 1994 (32)
Jersey Number
#13
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Guillermo Maripán
Guillermo Maripán
Current profile snapshot
Current Team
Torino
Position
Centre Back
Date of Birth
May 6, 1994 (32)
Jersey Number
#13
TactiQ Score
73.0
86% confidence
TactiQ Score v2
73.0
Form Score
70.5
Confidence
86%
Role
center_back
League
Serie A
Per 90 minutes
Goals
0.09
Assists
—
Key Pass
0.39
Tackles
2.18
Rating
6.88
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level center back in Serie A sitting at 50.65 on the FQ scale — squarely in the typical performer band. Across 26 matches and 2,102 minutes this season, no sub-score dimension clears the 70 threshold, and the absence of granular defensive metrics means the picture is incomplete despite 84% score confidence. The most notable on-ball output is 2.18 tackles per 90, with a modest average rating of 6.88.

Why this score

With all sub-scores null, the FQ Score of 50.65 is driven primarily by aggregate output signals — a 6.88 average rating and 2.18 tackles per 90 that sit around the middle of the positional range without standing out in any dimension. The absence of defensive sub-score data prevents pinpointing a specific weakness, but the overall production profile is consistent with a player who meets baseline expectations without exceeding them.

Form Trajectory

Form score of 54.98 sits 4.3 points above the FQ score of 50.65 — within the ±5 stable band, though nudging toward a mild upward trend. The risk/form agent flags this as an improving trajectory from a moderate baseline, not a breakout signal.

Similar Profiles
Players with comparable scoring profiles in the same role
Kevin Diks

Nearly identical FQ score (50.48) reflects a similar level of consistent but unspectacular contribution; Diks operates primarily as a fullback rather than a central defender, giving him a different positional profile.

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

9 metrics surfaced
Appearances
26
Minutes
2102
Goals
2
Key passes
9
Rating
6.88
Tackles
51
Shots on target
9
Successful dribbles
3
Clean sheets
10
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 65.7Form 68.3
Previous
TQ 68.9Form 69.2
Current
TQ 70.0Form 70.5
Per 90 minutes
Goals
0.09
Assists
—
Key Passes
0.39
Tackles
2.18
Rating
6.88
Adam Dźwigała

Comparable overall score (50.11) and role bucket suggest similar mid-tier defensive output; Dźwigała's profile may differ in league context and physical duel emphasis.

Compare →
Sead Kolašinac

Matching score band (50.04) with broadly similar defensive contribution levels; Kolašinac brings more established top-league experience, which likely shapes how that score is composed.

Compare →
Heavy minute load
2102 minutes suggest a significant current role in the squad rotation.
Defensive activity
51 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
10 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
Defensive metrics transparency

All sub-scores (defense, physical duel, possession control) are null, meaning key center back dimensions — duel success rate, aerial ability, positioning — cannot be individually assessed. This limits confidence in identifying where the player is weakest within the role.

Attacking contribution

0.09 goals per 90 and 0.39 key passes per 90 are minimal even by center back standards, suggesting limited involvement in build-up or set-piece threat — a secondary but real gap for a modern CB role.

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 →