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

A Bundesliga striker sitting at 61.55 on the FQ scale — adequate starter territory, but with no sub-score data available for finishing, creation, or progression, the picture is incomplete. What the data does confirm: 0.68 goals per 90 across 1,725 minutes this season, a volume that meets baseline striker expectations without signalling elite output. The most distinctive feature here is consistency — form and overall score are virtually identical, pointing to a player who delivers a predictable, mid-tier contribution.
The FQ score of 61.55 reflects a striker who meets positional baseline requirements but lacks the production volume or efficiency markers to push above the 65 threshold. All role-critical sub-scores — finishing, creation, and progression — are null, which caps analytical confidence and prevents any assessment of conversion quality or xG performance.
Form score of 62.4 sits just 0.85 points above the FQ score of 61.55 — well within the ±5 stable band. There is no meaningful upward or downward momentum; this player is performing exactly in line with their established level.
Both sit within a point of each other on the FQ scale (61.48 vs 61.55), reflecting similar mid-tier striker output; Richarlison has historically shown more physical duel involvement, which may differentiate their profiles if sub-scores were available.
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Jiménez's FQ score of 62.17 places him in the same adequate-starter band, with comparable goal contribution profiles; Jiménez has typically offered more hold-up and link-up play, a dimension that cannot be confirmed or denied here due to null progression data.
Aubameyang's 62.88 FQ score reflects a similar output tier at this stage of assessment; historically Aubameyang has been a higher-volume finisher, making him the ceiling comparison rather than a true stylistic match.
0.68 key passes per 90 is a functional number for a striker, but with the creation sub-score null, there is no way to assess whether this translates into genuine attacking threat or reflects incidental involvement. For a Bundesliga starter, this output does not stand out.
0.31 tackles per 90 is below what pressing-heavy Bundesliga systems typically demand from forwards. While defensive output is not a primary striker metric, in a league that prizes high press intensity, this figure is worth monitoring.
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 →