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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

Borja Mayoral

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

Current Team
Getafe
Position
Centre Forward
Also: Striker
Date of Birth
Apr 5, 1997 (29)
Jersey Number
#9
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Borja Mayoral
Borja Mayoral
Current profile snapshot
Current Team
Getafe
Position
Centre Forward
Also: Striker
Date of Birth
Apr 5, 1997 (29)
Jersey Number
#9
TactiQ Score
61.1
68% confidenceCalibrating
TactiQ Score v2
61.1
Calibrating
Form Score
56.5
Confidence
68%
Role
striker
League
La Liga
Per 90 minutes
Goals
0.34
Assists
0.09
Key Pass
0.43
Tackles
0.51
Rating
6.73
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe striker in La Liga sitting at 48.37 on the FQ scale — below the typical starter threshold and in the bottom half of all scored players. Across 14 appearances (1,045 minutes), he is producing 0.34 goals and 0.09 assists per 90, output that falls short of what La Liga striker roles demand. Confidence in this rating is borderline at 0.64, and the complete absence of sub-score data means this profile carries meaningful uncertainty.

Why this score

The FQ score of 48.37 is driven primarily by below-baseline per-90 production — 0.34 goals and 0.43 key passes per 90 are modest figures for a striker in a top division — compounded by the fact that all role-critical sub-scores (finishing, creation, progression) are null, preventing any upward adjustment for efficiency or quality. The system cannot reward what it cannot measure.

Form Trajectory

Form score of 44.68 sits 3.69 points below the FQ score of 48.37 — within the ±5 stable band, but trending in the wrong direction for a player already below the adequate-starter threshold. No sub-score data is available to identify whether the softness is isolated or broad-based.

Similar Profiles
Players with comparable scoring profiles in the same role
Mostafa Mohamed Ahmed Abdallah

Nearly identical FQ score (47.95 vs 48.37), placing both in the same fringe-striker band; the key difference is league context, which may affect how that output translates to opportunity.

Compare →
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
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
16
Minutes
1060
Goals
4
Assists
1
Key passes
6
Rating
6.72
Tackles
6
Shots on target
7
Successful dribbles
6
Clean sheets
4
2 Seasons Ago
TQ 69.4Form 71.7
Previous
TQ 60.0Form 60.8
Current
TQ 55.8Form 56.5
Per 90 minutes
Goals
0.34
Assists
0.09
Key Passes
0.43
Tackles
0.51
Rating
6.73
Oliver Burke

Comparable FQ score (47.87) and a similarly limited statistical footprint; Burke's profile historically skews toward physical contribution rather than goal output, which may distinguish their respective value profiles.

Compare →
Callum Eddie Graham Wilson

The closest FQ score in the comparison set at 49.41, marginally above this player; Wilson's score reflects a more established top-league track record, suggesting a higher ceiling if fitness and minutes stabilise.

Compare →
Current indicators
What the live season sample is surfacing right now
Season sample available
16 appearances are currently surfaced by the live data layer.
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
Goal output

0.34 goals per 90 across 1,045 minutes is below what La Liga striker roles typically require to hold a starting place. With no finishing sub-score available, it is impossible to determine whether this reflects poor conversion, low shot volume, or limited service.

Chance creation

0.43 key passes per 90 is a thin creative contribution for a striker expected to link play, and the null creation sub-score means no quality adjustment can be applied to this figure.

Data completeness

All six sub-scores are null, and score confidence sits at 0.64 — below the 0.65 threshold for full reliability. Any assessment of this player's true ceiling or floor is constrained by thin evidence.

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 →