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 75.56 TQ Score — above average for a typical starter, with the most distinctive feature being a 0.97 goals per 90 and 0.58 assists per 90 across 19 appearances (931 minutes). At 3.77 key passes per 90, this player contributes meaningfully beyond pure finishing, though all sub-scores are null, limiting how precisely those numbers can be contextualised. The 75.56 places them in the 70–77 band: a consistent, above-baseline contributor rather than a clear elite standout.
With all sub-scores (finishing, creation, progression, defense, possession, physical duel) returning null, the TQ Score of 75.56 is driven entirely by aggregate output metrics — primarily the 0.97 goals per 90 and 7.62 average rating — rather than granular efficiency or role-specific dimensions. The absence of sub-score data is the single biggest constraint on pushing this score higher or lower with confidence.
Form score of 74.41 sits 1.15 points below the TQ Score of 75.56 — within the ±5 stable band, so no meaningful trend concern. This is a stable rather than improving profile; there is no upward momentum signal in the current data.
Comparable TQ Score (74.31 vs 75.56) suggests similar overall production levels for a forward role; the key difference is Cunha's score is derived from a different league context, which may reflect a harder or easier scoring environment.
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Álvarez's 71.68 TQ Score sits roughly 4 points below, making him a useful lower bound for this tier; Álvarez's profile is typically more creation-heavy, whereas this player's 0.97 goals per 90 suggests a more direct finishing orientation.
Undav's 70.8 TQ Score is the closest lower comparable; both operate in a similar output band, though Undav's role context and league difficulty may differ from Ligue 1, making a direct efficiency comparison imprecise.
All six role-specific sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null. For a striker, the missing finishing sub-score in particular means conversion efficiency and shot quality cannot be assessed — the 0.97 goals per 90 looks strong on the surface but cannot be validated against baseline or league context without it.
The data is flagged as not fresh (approximately 50 hours old) and score confidence sits at 0.67 — moderate, not high. This introduces meaningful uncertainty: recent form shifts within the last match cycle may not be reflected in the current 74.41 form score.
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 →