Pulling current player details into Tactico.


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Percentiles vs 734 centre-backs in our scored set (degenerate rows excluded from both sides)
Generated Sep 2, 2026, 04:43 AM · Three-agent consensus
Sample is solid: 2053 Serie A minutes (cdi 0.97, single competition, no continental football to weigh in either direction). Defensive volume is the core signal for a center back: 5.87 clearances/90 and 1.62 tackles/90 show regular defensive engagement, with duelsWon at 3.38/90 and a 59% duel success rate indicating adequate but not dominant physical battles. Aerial win rate of 1.58/90 is modest for a center back role where aerial dominance is typically a differentiator. Progression (30.13) and creation (18.23) are low but expected given the role — assists 0.04/90, key passes 0.09/90, big chances created 0.04/90 confirm negligible attacking output, which is appropriate rather than a weakness for this bucket. Finishing metrics (shots 0.13/90, no goals recorded) are irrelevant to role evaluation. defenseScore of 47.22 and physicalDuelScore of 44.77 sit below the 50 baseline mark despite decent raw clearance/tackle volume, suggesting underlying efficiency or context normalization pulls scores down. Rating of 6.93 across the sample supports a competent, sustained level of performance rather than a one-match outlier.
Current form score (69.52) sits just 2.73 points below the multi-season Tactico Score (72.25), indicating a broadly stable trajectory with only a mild dip rather than genuine decline. Score confidence of 0.76 supports a reasonably reliable sample, though not maximal certainty. Sub-scores show notable spread: defenseScore (47.22) and finishingScore (45.1) are moderate, but creationScore (18.23) is markedly low relative to progression (30.13) and physicalDuelScore (44.77), reflecting role-consistent volatility (creation is not a core center-back function, so this spread is expected rather than alarming, but still noted for consistency scoring). Data completeness is high at 91.7%, with only positionLabel missing, so no meaningful availability/injury risk signal. Data freshness is a minor concern — snapshot is ~12 days old (1,039,279 seconds), which slightly limits certainty about very recent form changes. Competition exposure is entirely Serie A, non-continental, so no European fatigue/rotation risk to factor in, and the dip in form cannot be attributed to a tougher continental slate.
StableCompetition context shows the full sample is Serie A only (2053 minutes, cdi 0.97, blendedDifficulty 0.97) — no continental football recorded, so the difficulty read is near league-average (just below PL's 1.00 baseline) with no evidence of testing against Champions/Europa League opposition. Role clarity is solid: center_back label aligns with physical signals (5.87 clearances/90, 1.58 aerials won/90, low big chances created 0.04), confirming a defensive profile with minimal creative involvement. Data completeness is strong at 91.7%, missing only positionLabel, and 2053 minutes in a single competition suggests a large, clean, non-fragmentary sample with regular starter-level participation rather than rotation gaps. However, single-competition exposure limits the ability to assess performance against varied opposition standards, and the absence of continental minutes caps the ceiling on contextual favorability. Overall this is a stable, well-defined but average-difficulty domestic-only context.
Neutral contextAI insights are generated after the three-agent consensus runs. The Tactico Score and consensus analysis above are the authoritative evaluation.
| Season | Competition | Apps | Min | G | A | Rating |
|---|---|---|---|---|---|---|
| 2024/2025 | Serie A | 29 | 2,053 | — | 1 | 6.93 |
| 2020/2021 | Serie A | 3 | 163 | — | — | 6.90 |
| Career | ||||||
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| 32 |
| 2,216 |
| 0 |
| 1 |
| 6.93 |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| vsAtalanta1-1 | — | — | — | — | — | — |
| @Atalanta2-3 | 6.87 | 90 | — | — | 1 | 0.18 |
| vsNapoli0-0 | 7.08 | 90 | — | — | — | — |
| @Empoli2-1 | 6.54 | 13 | — | — | — | — |
| vsComo0-1 | — | — | — | — | — | — |
| @Lazio2-2 | 6.53 | 19 | — | — | — | — |
| vsJuventus1-0 | — | — | — | — | — | — |
| @Fiorentina0-0 | 6.73 | 33 | — | — | — | — |
| vsInter2-2 | — | — | — | — | — | — |
| @Hellas Verona0-0 | — | — | — | — | — | — |
*Rating = SportMonks metric
3 matches with shot data · totals + xG (not shot locations — SportMonks does not provide per-shot coordinates)
| Season | League | Apps | Min | G | A | xG | xA |
|---|---|---|---|---|---|---|---|
| 2024/2025 | Serie A | 29 | 2053 | — | 1 | — | — |
| 2020/2021 | Serie A | 3 | 163 | — | — | — | — |