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

A hyper-specialist striker in the Bundesliga whose finishing sub-score of 93.64 ranks at elite calibre — the defining feature of his profile. Across 28 matches (2,155 minutes) this season, he is averaging 1.38 goals per 90, a rate that places him among the most prolific scorers in the division. His TQ Score of 80.51 reflects a player who is notably above the typical starter baseline, though his value is almost entirely concentrated in one dimension.
The finishing sub-score of 93.64 is the primary driver of the 80.51 TQ Score, pulling the overall number well above what the remaining sub-scores — creation (50.06), progression (33.13), possession control (36.48), physical duels (37.34) — would suggest on their own. The 60-point spread between his highest and lowest dimensions is the defining structural feature of this evaluation.
Form score of 81.71 sits just 1.2 points above the TQ Score of 80.51 — within the ±5 stable band. There is no meaningful upward or downward trend; this is a consistent, predictable output profile with no signs of acceleration or decline.
Both are high-volume, finishing-dominant strikers with limited creative or progressive sub-scores; Håland's TQ Score of 75.81 is lower, reflecting a different scoring context rather than a gap in finishing quality.
Top 50 players by TactiQ Score — filter by position, form, and confidence.
TactiQ Score, form, confidence, and season stats compared side by side — instantly.
Every TactiQ Score is deterministic and traceable. Read the full methodology behind the numbers.
Mbappé's higher TQ Score of 85.54 reflects a broader contribution profile — stronger progression and creation — whereas this player's value is more narrowly concentrated in pure finishing.
Similar TQ Score band (75.56 vs 80.51), but Dembélé's profile is creation-led rather than finishing-led, making them near-opposites in how their value is distributed across sub-scores.
Sub-score of 93.64 is elite by any standard on the 0-100 scale. His 1.38 goals per 90 across 2,155 minutes this season reflects sustained, high-volume conversion rather than a small-sample spike.
A match rating of 7.9 per 90 alongside 1.38 goals and 0.21 assists per 90 confirms consistent match-level impact concentrated in the final third.
Creation sub-score of 50.06 sits around the middle of the scale — adequate for a pure striker, but his 1.55 key passes per 90 suggests he is not a player who generates danger for teammates beyond his own finishing.
Progression sub-score of 33.13 is below baseline even for the striker role, indicating limited contribution to advancing play through carries or progressive passes — his involvement is heavily arrival-focused rather than build-up-focused.
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 →