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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

Jordan Lefort

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

Current Team
Angers SCO
Position
Centre Back
Date of Birth
Aug 9, 1993 (32)
Jersey Number
#21
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Jordan Lefort
Jordan Lefort
Current profile snapshot
Current Team
Angers SCO
Position
Centre Back
Date of Birth
Aug 9, 1993 (32)
Jersey Number
#21
TactiQ Score
71.2
95% confidence
TactiQ Score v2
71.2
Form Score
69.5
Confidence
95%
Role
center_back
League
Ligue 1
Per 90 minutes
Goals
—
Assists
0.06
Key Pass
0.22
Tackles
1.47
Rating
6.80
Multi-season trend
AI Analysis
Generated May 6, 2026

A Ligue 1 center back sitting at 48.37 on the FQ scale — squarely in fringe/typical territory, below the 50th percentile baseline for the position. Across 31 matches (2,790 minutes), the most notable on-ball output is a modest 0.23 key passes per 90 and 0.06 assists per 90, with a match rating of 6.81 — none of which stand out for the role. The specialist panel is contested (consensus confidence 0.56), reflecting genuine disagreement about how to read a profile where all sub-scores are null.

Why this score

The FQ score of 48.37 is driven primarily by below-baseline overall output with no sub-score dimension clearing the threshold to offset it — all six sub-scores (finishing, creation, progression, defense, possession control, physical duel) returned null, meaning no single area of elite or above-average contribution could be identified to pull the score upward.

Form Trajectory

Form score of 51.89 sits 3.52 points above the FQ score of 48.37 — within the ±5 stable band, though nudging toward a mild upward signal. This does not constitute a meaningful trend shift; the player remains in typical-performer territory on both measures.

Similar Profiles
Players with comparable scoring profiles in the same role
Leandro Daniel Cabrera Sasía

Nearly identical FQ score (48.49 vs 48.37), suggesting a comparable overall output level for the center back role; specific stylistic differences cannot be determined from available data.

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
33
Minutes
2970
Assists
2
Key passes
8
Rating
6.81
Tackles
49
Shots on target
2
Successful dribbles
9
Clean sheets
10
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 53.2Form 54.3
Previous
TQ 71.4Form 71.9
Current
TQ 68.8Form 69.6
Per 90 minutes
Goals
—
Assists
0.06
Key Passes
0.22
Tackles
1.47
Rating
6.80
Omar Federico Alderete Fernández

Closest ceiling in this peer group at 49.62 FQ, marginally above this player's score, indicating a similar positional tier with a slight edge in overall measured contribution.

Compare →
Pau Francisco Torres

FQ of 47.13 places him just below this player, making him the lower bound of the comparable range — useful as a floor reference for this performance band.

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Heavy minute load
2970 minutes suggest a significant current role in the squad rotation.
Defensive activity
49 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 visibility

All role-critical sub-scores — defense, physical duel, and progression — are null despite 91% data completeness and 0.93 confidence. For a center back, the absence of granular defensive action data (duels won, interceptions, clearances) means the 1.39 tackles per 90 is the only defensive signal available, and it cannot be benchmarked against positional norms without sub-score context.

Ball progression and creation

0.23 key passes per 90 and 0.06 assists per 90 are low figures for a modern center back expected to contribute to build-up play. No progression sub-score is available to confirm or challenge this reading, but the raw per-90 numbers do not suggest a ball-playing profile.

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 →