Archetype
All-Action Defender
Up and down all day — tackles, carries, repeats.
Take-Ons81
Ball Winning69
Involvement52
Top rating81Percentile
Identity
Tackles won
0.82(5)
Interceptions
0.49(3)
Aerials won
0.82(5)
Touches
74.9
- Errors → shot / 90Top 1%
- Take-ons attempted / 90Top 10%
- Assists / 90Top 10%
- Prog. carries / 90Top 10%
- Take-ons succeeded / 90Top 10%
- Blocks / 90Bottom 5%
- Interceptions / 90Bottom 10%
- Clearances / 90Bottom 10%
- Aerial win %Bottom 10%
Validation
Output is real: finishing sits in line with xG.
Goals vs xG1 · 0.5
Assists vs xA1 · 0.6
PenaltiesAll 1 from open play
Small sample — 13 apps, 553 min. Treat the percentiles with caution.
Flat-track: production drops sharply against the top third.
| Stat | Top third | Middle | Bottom third |
|---|---|---|---|
| Matches | 4 | 3 | 4 |
| Tackles /90 | 0.00 | 1.54 | 1.34 |
| Interceptions /90 | 0.00 | 1.03 | 0.67 |
| Blocks /90 | 0.00 | 0.00 | 0.00 |
| Duels won /90 | 4.03 | 6.69 | 6.04 |
| Pass accuracy | 96.8% | 90.3% | 90.2% |
League-adjustedBChampionship → Big-5 baseline
Goals / 90raw 0.16
0.05–0.20
Assists / 90*raw 0.16
0.05–0.25
Shots / 90raw 0.49
0.20–0.63
Key passes / 90raw 0.98
0.32–1.25
Tackles / 90raw 0.98
0.64–1.36
Interceptions / 90raw 0.49
0.25–0.65
Adjustment v1.1 · calibrated against 1401 league transitions + 1004 cross-league cup fixtures · methodology
Trajectory
Ahead of his age group: 82nd percentile for take-ons among defenders aged 25–29.
vs defenders aged 25–29 · 275 peers · pool pct → age bandTake-Ons
8182nd
+1Ball Winning
6969th
0Projection
Profiles like M. de Wit — defenders with this shape at 27.
M. de WitAZ Alkmaar · Eredivisie
92match
N. O'ReillyManchester City · Premier League
91match
D. NealisNew York Red Bulls · Major League Soccer
90match
H. BurrowsSheffield Utd · Championship
90match
L. PellegriniLazio · Serie A
89match
M. CuevasLos Angeles Galaxy · Major League Soccer
88match
MTSanta Clara · Primeira Liga
88match
Luciano JubaBahia · Serie A
87match
Risk
Watch the downside: aerial (1st pct) is a real weakness for the role.
Weakest traits for the role
Aerial1
Sweeping1
Distribution1
Availability13 apps · 553 min · ~43/game — last 5: ~21 min/gameMinutes risk · high — starts 62% of available games, 553 minutes played
Market value
At a career-high valuation.
Current value
€900K
Peak value
€900K
Jun 2022
Career transfers
0
Market-value timeline
9 valuations · AS OF 06 MAY 2026Match evidence
Top underlying game: 0.21 xG vs Millwall.
Biggest underlying gamesxGxGOTG
vs Millwall0.210.000
@ Swansea0.180.401
@ Charlton0.050.08010 of 24 matches