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 in La Liga sitting at an FQ Score of 48.59 — squarely in the typical performer range (50-59 scale) and below baseline expectations for the position. The most distinctive feature of this profile is not a strength but an absence: all role-specific sub-scores (defense, progression, creation, finishing) are null, meaning the score is driven entirely by aggregate and per-90 surface metrics. With 1,787 minutes across 28 matches, there is a workable sample, but data confidence sits at 0.62 — below the threshold for high certainty.
The FQ Score of 48.59 is anchored by the absence of any qualifying sub-score above the baseline threshold, with the performance agent scoring this player at 46 and the context agent at 58 — the spread reflecting uncertainty rather than genuine strength. Without quantified defensive actions, duels, or progressive pass data, the score cannot be lifted by positional merit.
Form score of 49.37 sits just 0.78 above the FQ Score of 48.59 — a delta well within the ±5 stable band. There is no upward momentum; output has been consistent but flat across the current season.
Both sit in the 48-49 FQ Score band for defensive midfielders, reflecting similar aggregate output levels; Florentino's profile is marginally lower at 48.11 but carries comparable positional context.
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Lobotka's FQ Score of 49.15 places him at the top of this comparable cluster, and while the aggregate scores align closely, Lobotka is widely regarded as a higher-profile La Liga presence — suggesting this player's score reflects a more limited role or sample.
Bentancur Colmán's 47.94 FQ Score is the closest match numerically, with both players sitting just below the 50-mark; the key difference is that Bentancur's profile may carry more sub-score granularity depending on data availability.
For a defensive midfielder, tackles (2.12 per 90) is the only available defensive metric, and no interception, duel, or ball recovery data is quantified. This makes it impossible to confirm whether the player meets positional baseline — a meaningful gap for a role where defensive actions are the primary value driver.
1.06 key passes per 90 and 0.05 assists per 90 represent modest output for a La Liga defensive midfielder. Creation is not the primary expectation for this role, but neither figure suggests any secondary value as a progressive or chance-creating presence.
Score confidence of 0.62 falls below the 0.65 threshold for high reliability. All four role-specific sub-scores are null, meaning the 48.59 FQ Score rests on thin dimensional evidence — any directional read on this player's true level carries meaningful uncertainty.
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 →