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 La Liga striker sitting at an FQ Score of 58.93 — squarely in the adequate-starter band where clear gaps exist but baseline positional expectations are met. The most distinctive data point is what's missing: all sub-scores (finishing, creation, progression, defense) are null, meaning the 0.40 goals per 90 and 0.99 key passes per 90 are the primary windows into their output. At 30 matches and 2,007 minutes this season, this is a well-sampled profile, not a thin-evidence case.
With no finishing sub-score available, conversion efficiency and shot quality cannot be evaluated — the FQ Score of 58.93 is driven almost entirely by volume-based per-90 metrics. A 0.40 goals per 90 rate for a striker in La Liga, without evidence of elite creation or progression contributions, anchors the score firmly in the 50-59 typical-performer range.
Form score of 59.99 sits just 1.06 points above the FQ Score of 58.93 — well within the ±5 stable band. There is no meaningful upward or downward trend; output has been consistent with the season-long baseline.
Nearly identical FQ Score (59.11 vs 58.93) places both in the same adequate-starter tier, though Boyé's profile may differ in role execution given the absence of sub-score data for this player.
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TactiQ Score, form, confidence, and season stats compared side by side — instantly.
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Comparable FQ Score (59.12) suggests similar overall output level, though Giroud's profile is shaped by a physically dominant, hold-up style that may not reflect this player's approach.
Slightly lower FQ Score (57.27) makes him the weakest of the three comparables, but the proximity highlights that this player sits near the lower boundary of the adequate-starter band.
0.40 goals per 90 across 2,007 minutes is below what top-tier La Liga strikers produce, and without a finishing sub-score, there is no way to determine whether this reflects poor conversion, low shot volume, or unfavorable xG. The gap is meaningful for a player whose primary role is to score.
0.04 assists per 90 is negligible for a striker — even those not expected to be primary creators typically contribute more in the link-up phase. Combined with null creation and progression sub-scores, secondary output cannot be confirmed as a compensating strength.
All six sub-scores are null, which is a structural data gap for a player with 90.9% completeness otherwise. This prevents any dimension-level assessment and caps confidence in the overall profile despite a high score confidence of 0.88.
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 →