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

A defensive midfielder sitting at 50.3 on the FQ scale — squarely in the typical performer band — with 21 Premier League appearances (1,483 minutes) this season. The most notable data point is 2.61 tackles per 90, which provides the clearest signal of his defensive engagement, but the absence of all role-specific sub-scores (defense, progression, creation, possession control) limits how precisely his profile can be drawn. At this score level, he is not separating himself from the baseline for his position.
With all dimension sub-scores returning null, the FQ score of 50.3 is driven primarily by aggregate output metrics rather than granular role efficiency. The 6.79 average match rating and modest 0.12 goals and 0.12 assists per 90 point to a player contributing at — but not above — the expected floor for a Premier League defensive midfielder.
Form score of 47.4 sits 2.9 points below the FQ score of 50.3 — within the ±5 stable range, so this is not a meaningful concern, but the direction is mildly negative. No acceleration or recovery in recent form is evident.
Sangaré scores 50.51 — nearly identical to this player's 50.3 — placing both in the same typical performer band for defensive midfielders; Sangaré's profile may carry more physical duel volume given his stylistic reputation, but the FQ scores converge at this level.
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Palhinha's 50.64 FQ score sits just 0.3 points above this player, making them near-identical in overall output rating; Palhinha is generally associated with higher tackle and interception volume, suggesting a more defensively specialized profile within the same score band.
Lobotka's 49.15 FQ score is the closest below this player's 50.3; where Lobotka's value is typically tied to possession control and pass progression, this player's profile lacks the sub-score data to confirm or deny a similar distribution of strengths.
0.12 goals and 0.12 assists per 90, with just 0.24 key passes per 90 — all below what is typically expected even from a defensive midfielder in the Premier League, where ball-playing and transitional output are increasingly demanded from the position.
All six role-specific sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning no individual area of his game can be confirmed as a strength. The 2.61 tackles per 90 is the only granular metric available and cannot be benchmarked without a defense sub-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 →