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

A Ligue 1 striker sitting at 67 on the TQ scale — adequate starter territory, consistently above baseline but without the elite output to push higher. Across 19 matches (1,126 minutes), he contributes 0.56 goals and 0.24 assists per 90, with a notably active 2.24 key passes per 90 that suggests involvement beyond pure finishing. No sub-score data is available to isolate specific strengths, so this read is built on aggregate production signals.
The TQ Score of 67 reflects solid but unspectacular aggregate production — 0.56 goals per 90 and 2.24 key passes per 90 are respectable for the role, but the absence of finishing, creation, and progression sub-scores means no efficiency edge (xG overperformance, conversion rate) can be confirmed to push the score higher. The 0.69 confidence rating introduces moderate uncertainty that also caps the ceiling.
Form score of 66.18 sits 1.23 points below the TQ Score of 67.41 — within the ±5 stable band, but trending marginally downward. No meaningful concern, though the moderate confidence of 0.69 means the signal should be monitored as the sample grows.
Nearly identical TQ scores (67.34 vs 67.41) place them in the same mid-tier production band, though Gnabry operates in a wider attacking role with a stronger tracked sub-score profile.
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Comparable aggregate output at 66.39, both functioning as active contributors beyond pure finishing; Aspas carries a longer high-confidence data history that this player has not yet matched.
Similar TQ band at 66.16 with overlapping key-pass involvement profiles, but Griezmann's role is more creation-heavy whereas this player's identity leans more toward central striking.
No finishing sub-score is available, and 0.56 goals per 90 is functional but not a standout rate for a Ligue 1 striker — conversion efficiency and xG relationship cannot be confirmed from current data.
2.24 key passes per 90 is an active number, but without a creation sub-score there is no way to confirm whether this translates to genuine chance quality or reflects high-volume, lower-value delivery.
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 →