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 Premier League striker sitting at 63.06 on the FQ scale — solidly in the "adequate starter" band with clear gaps remaining. Across 38 matches and 2,867 minutes this season, they are producing 0.35 goals per 90 and 0.13 assists per 90, output that meets positional baseline without exceeding it. The absence of all dimensional sub-scores (finishing, creation, progression) limits deeper profiling, but the overall signal is reliable given 91% data completeness and a confidence score of 0.73.
With all six sub-scores null, the FQ score of 63.06 is driven entirely by aggregate per-90 output — 0.35 goals, 0.13 assists, and 0.69 key passes per 90 — which collectively land in mid-tier territory without any elite dimension pulling the score higher. The absence of finishing efficiency data (conversion rate, xG performance) means the score reflects volume contribution rather than quality-adjusted production.
Form score of 64.66 sits just 1.6 points above the FQ score of 63.06 — within the ±5 stable band, indicating no meaningful momentum in either direction. Trajectory is flat rather than improving, despite the risk agent's marginal upward read.
Aubameyang (62.88) sits at nearly the same FQ level, reflecting a similarly mid-tier aggregate output at this stage of his career; the key difference is Aubameyang carries a known finishing profile from prior seasons, whereas this player's dimensional strengths remain unconfirmed.
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Mateta (63.67) is the closest FQ match and operates in the same Premier League context, making him the most direct positional benchmark; Mateta's profile is better documented at the sub-score level, giving him a clearer identity as a physical, direct striker.
Jiménez (62.17) shares a similar aggregate score and veteran striker profile, though Jiménez brings a more established creation and hold-up dimension that distinguishes his role contribution from this player's less defined output.
0.35 goals per 90 across 2,867 minutes is below what top-end Premier League strikers produce; without xG or conversion data, it is unclear whether this reflects poor finishing or limited service, but the raw return sits at the lower end of starter-level expectation.
All sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning no facet of this striker's game has been confirmed as a strength. A rating of 7.03 per 90 is functional but not a differentiator.
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 →