Pulling current player details into Tactico.


Sums exactly — base plus adjustments equals the score. Deterministic, versioned, never AI-generated. Full method →
Percentiles vs 613 fullback wingback in our scored set (degenerate rows excluded from both sides)
Generated Sep 2, 2026, 12:42 PM · Three-agent consensus
For a fullback/wingback, the profile shows solid creative and physical contribution but low goal threat, which is expected for the role. Key passes at 2/90 and big chances created at 0.39/90 indicate above-baseline creation output (creationScore 39.65), supported by 0.07 assists/90. Physical duel involvement is decent: 4.06 duels won/90 at 55% success rate, plus 1.15 aerials won/90, though physicalDuelScore of 37.64 suggests inconsistency in these battles relative to volume. Defensive numbers are modest — 1.51 tackles/90 and 2.33 clearances/90 — yielding a defenseScore of only 30.37, below what's typically expected from a wingback expected to contribute defensively. Finishing is negligible (0.03 goals/90, finishingScore 16.64) but this is not a major weakness given role expectations. All minutes (2746) came in a single competition (Premier League, cdi=1.00), so no competition-difficulty premium applies, and no European data exists to infer additional context. Sample size (2746 minutes) is substantial, supporting confidence in these per-90 rates as a real single-season pattern rather than an outlier.
Form score of 67.48 sits 3.26 points below the Tactico (multi-season) score of 70.74 — a modest, not severe, decline in trajectory. Score confidence of 0.85 indicates a solid sample, and data completeness of 0.833 (missing only positionLabel and nationalityName) supports reasonable reliability, though data freshness is stale (ageSeconds ~1.1M, ~12.7 days old), a minor caveat. Sub-scores show meaningful spread: creation (39.65) and progression (34.14) are moderate, defense (30.37) and physical duel (37.64) trail, while finishing (16.64) is notably low — expected for a fullback/wingback role but contributing to an uneven profile rather than a red flag of volatility per se. Competition context shows all 2,746 minutes in Premier League only (no continental fixtures), so no fatigue/rotation risk from European midweek load, and the dip in form is not confounded by tougher continental opposition. Overall this reads as a stable player with a slight recent softening rather than a genuine decline.
DecliningEvidence is exclusively Premier League (cdi 1.00, blendedDifficulty 1.00, 2746 minutes) — a high-difficulty domestic league, but with no continental football this season, so the player hasn't been tested against European opposition; the difficulty read is capped at PL-only standard rather than boosted further. 2746 minutes is a substantial single-competition sample, suggesting regular starter status without rotation gaps, which supports reliable inference. Role bucket "fullback_wingback" is reasonably corroborated by physical signals: moderate aerials (1.15/90), clearances (2.33/90) and duels (4.06/90, 55% success) fit a defensive-wide profile, though the relatively high creationScore (39.65) and bigChancesCreatedPer90 (0.39) suggest an attacking wingback tilt rather than pure defensive fullback — a mild but not disqualifying role ambiguity. Data completeness is 83%, with only positionLabel and nationalityName missing (non-critical fields), so reliability is decent. Single-competition data limits comparative context on how the player performs against varying opposition strength.
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 |
|---|---|---|---|---|---|---|
| — | Premier League | 2 | 31 | — | — | 6.33 |
| — | Premier League | 33 | 2,746 | 1 | 2 | 6.89 |
| Career | ||||||
Top 50 players by Tactico Score — filter by position, form, and confidence.
Tactico Score, form, confidence, and season stats compared side by side.
Every Tactico Score is deterministic and traceable. Read the full methodology.
Paste, screenshot, or build your 15 — Scout ranks your XI and captain with an xPts model validated on four seasons. Its own squad is committed before every deadline on the official game. No account required.
| 35 |
| 2,777 |
| 1 |
| 2 |
| 6.88 |
| Opponent | Rat* | Min | G | A | Sh | xG |
|---|---|---|---|---|---|---|
| @Manchester United5-2 | 6.42 | 90 | 1 | — | 2 | 0.39 |
| vsSunderland2-1 | 6.75 | 90 | — | — | — | — |
| vsWest Ham United1-3 | 6.26 | 90 | — | — | — | — |
| @Leicester City2-0 | 6.98 | 90 | — | — | 2 | 0.12 |
| vsArsenal0-4 | 5.40 | 32 | — | — | — | — |
| @Chelsea2-2 | 6.97 | 62 | — | — | — | — |
| vsWolverhampton Wanderers1-2 | 6.44 | 9 | — | — | — | — |
| vsNottingham Forest2-4 | 6.17 | 90 | — | — | 1 | 0.03 |
| @Crystal Palace1-0 | 7.51 | 90 | — | — | 1 | 0.02 |
| @Manchester United3-2 | 7.00 | 80 | — | — | — | — |
*Rating = SportMonks metric
14 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 | Premier League | 33 | 2746 | 1 | 2 | — | — |
| 2020/2021 | Premier League | 2 | 31 | — | — | — | — |