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

A mid-tier Ligue 1 striker sitting at 62.88 — adequate by baseline standards but without standout characteristics in any measurable dimension. His per-90 output of 0.42 goals and 0.24 assists reflects a contributor rather than a primary threat, while 1.22 key passes per 90 suggests some involvement in build-up play beyond pure finishing. No sub-score data is available, which limits how precisely his profile can be defined.
The 62.88 FQ Score reflects a player meeting — but not exceeding — the baseline for a Ligue 1 striker. With all sub-scores null, the score is driven by aggregate per-90 output: 0.42 goals and 0.24 assists per 90 across 1,912 minutes represent functional but unspectacular production, and the absence of finishing or xG data prevents any upward adjustment.
Form score of 63.13 sits just 0.25 points above the FQ score of 62.88 — a delta well within the ±5 stable range. There is no meaningful upward or downward momentum; performance has been consistent and predictable across the current sample.
Morris scores 63.06 — nearly identical to this player's 62.88 — reflecting a similar profile of functional striker output without elite finishing distinction; Morris operates in the Championship rather than Ligue 1, making the difficulty context different.
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Jiménez's 62.17 FQ Score places him in the same adequate-starter band, with comparable aggregate production; Jiménez brings a more established top-league pedigree, suggesting this player's ceiling may still be less proven at the highest level.
Mateta's 63.67 is the closest score in this comparable set and he is also a Ligue 1-linked striker profile; Mateta has shown higher-variance output in certain periods, whereas this player's form delta of +0.25 signals more consistent but less explosive production.
0.42 goals per 90 across 28 appearances is below what elite strikers in Ligue 1 typically produce. Without finishing sub-score or xG data, it is unclear whether this reflects poor conversion or limited shot volume, but the raw output does not distinguish him as a primary scorer.
1.22 key passes per 90 is a notable number for a striker, but with no creation sub-score available, it is impossible to assess quality or shot-creation efficiency — the figure may reflect volume without meaningful end product.
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 →