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

A fringe-level defensive midfielder in the Premier League with an FQ Score of 47.62 — placing him in the bottom half of all scored players and below the threshold of a reliable starter. His most distinctive characteristic is the near-total absence of sub-score data: all role-specific dimensions (finishing, creation, progression, defense) return null, meaning his 1,865 minutes across 31 matches have not produced enough signal in any individual dimension to rate. What per-90 data exists — 1.69 tackles, 0.43 key passes, 0.24 goals — paints a picture of limited output for the position.
The FQ Score of 47.62 is driven primarily by below-baseline overall production with no sub-score dimension clearing the threshold to register — not finishing, not defense, not creation, not progression. For a defensive midfielder, the absence of a defense sub-score is the most damaging gap: it means core responsibilities like interceptions, duels won, and ball recoveries cannot be confirmed as strengths.
Form is stable-to-slightly-declining: the form score of 45.6 sits 2.0 points below the FQ Score of 47.62, a gap within normal variance and not a meaningful concern on its own. However, a modest decline at an already low performance tier warrants monitoring.
Nearly identical FQ Score (47.94 vs 47.62) places them at the same performance tier; Bentancur operates in a higher-profile club context which may suppress his individual metrics relative to this player.
Top 50 players by TactiQ Score — filter by position, form, and confidence.
TactiQ Score, form, confidence, and season stats compared side by side — instantly.
Every TactiQ Score is deterministic and traceable. Read the full methodology behind the numbers.
Comparable FQ Score (48.11) and defensive midfielder profile make them close peers; Florentino's profile is typically more defense-volume oriented, which may differentiate their sub-score breakdown once data resolves.
The highest of the three comparables at 48.59 FQ Score, suggesting a marginal output edge; both share the same null sub-score limitation that makes granular comparison unreliable at this stage.
1.69 tackles per 90 is the only defensive metric available, and with the defense sub-score returning null, there is no confirmation that this volume translates into effective defensive contribution. For a defensive midfielder in the Premier League, this is a meaningful gap in the core role requirement.
0.43 key passes per 90 and 0.24 goals per 90 are modest figures for a position that often needs to contribute to ball progression or chance creation. With creation and progression sub-scores both null, there is no evidence of compensating value in the attacking phase.
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.
Weighted toward recent matches. Can diverge from the TactiQ Score when current form is meaningfully stronger or weaker than the multi-season average.
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.
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 →