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-range Ligue 1 striker sitting at 55.12 on the FQ scale — squarely in the typical performer band. The most distinctive feature here is not a strength but an absence: all sub-scores (finishing, creation, progression, defense) are null, meaning the score is built on surface-level per-90 output rather than quality-adjusted metrics. At 0.42 goals and 0.16 assists per 90 across 1,724 minutes, this is a player meeting baseline volume without standing out in any measurable dimension.
The FQ score of 55.12 is driven primarily by adequate but unspectacular per-90 production — 0.42 goals and 0.73 key passes per 90 — with no finishing or creation sub-scores available to validate quality. The absence of granular efficiency data (xG, conversion rate) means the score cannot reward or penalise finishing quality, capping the ceiling and floor of the evaluation.
Form score of 56.86 sits just 1.74 points above the FQ score of 55.12 — well within the ±5 stable band. There is no meaningful upward or downward momentum; this player is performing exactly in line with their established baseline.
Both sit in the 53–56 FQ range as strikers with similar volume-based output profiles; André Silva's slightly lower score (53.66) reflects comparable production levels, though his career history in higher-profile leagues provides more sub-score context than is available here.
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Ayew's FQ score of 51.73 places him just below this player, sharing the profile of a functional but non-elite striker who contributes across multiple output categories without dominating any single one.
Bamford's 51.55 FQ score reflects a similar mid-range striker profile; like this player, his evaluation is complicated by availability and data completeness issues that suppress sub-score granularity.
The finishing sub-score is null — the single most important dimension for a striker evaluation. With 0.42 goals per 90 and no xG or conversion data available, it is impossible to determine whether this output reflects efficiency or volume masking poor conversion.
Creation sub-score is also null. The 0.73 key passes per 90 is a surface signal only; without a creation sub-score, the quality and danger level of those passes cannot be assessed for a striker role.
Progression sub-score is null, limiting any read on how effectively this player advances play — a meaningful gap when evaluating a striker's hold-up and link-up contribution in Ligue 1.
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 →