Thin sample this season. Nicolò Bertola has played 4 matches (104 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
01
What Patterns Define Him?
His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
RECEIVE
in the first line of build-up — mostly in the defensive third (41% of his 46 passes)
85% completion · 46× in 4/4 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
0.0 prog/90 · 5× in 4/4 matches
Signature: Receive → Break A Line — the only steps proven repeatable this season (2 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 0× (insufficient confidence, hidden — not enough evidence yet); switch play — 0× (insufficient confidence, hidden — not enough evidence yet); progress — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
0 key passes (0.00/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.
Chance creation — key pass origin zone share
Filter:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
02
Tactical patterns — how his football actually looks
Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.
own goal left, attacking →
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the right wing in the middle third: 22% of his 9 touches there are lost (2 times).
20 defensive actions across the season (17.3/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.
click a card to isolate that action type · own goal left, attacking →
3
tackles · 67% won
1
interceptions · 0.9/90
4
recoveries · 3.5/90
6
clearances · 5.2/90
0
blocks
28
avg action height
1
won high (att 3rd)
6
middle third
13
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 8 proactive ball-wins (6.9/90), tackle success 67%. He defends deep, protecting his box — a last-line stopper.
Team
Team context
How much of the team runs through him, and what changes without him.
Udinese's output per match with Nicolò Bertola (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (4)
Δ
goals against /match
2.75
1.75
+1.00
points /match
0.75
0.25
+0.50
goals for /match
2.00
0.25
+1.75
xG for /match
0.86
1.18
-0.33
06
His Share of the Team
Of everything Udinese produced this season, the categories where the biggest share ran through Nicolò Bertola specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
9%
101 / 1075
interceptions
7%
24 / 347
tackles
6%
40 / 622
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.
Stopper centre-back48%Ball-playing centre-back19%
Why Stopper centre-back 48%: a weighted blend of ball-winning 60 (weight 40%) + defensive aggression 56 (weight 35%) + transition 33 (weight 10%) + retention 11 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
86
Creativity
66
Box threat
66
Line-breaking
64
Receiving zones
61
Ball-winning
60
Defensive aggression
56
Dribbling
52
Progression
48
Carrying
46
Through-balls ~proxy
46
Final-third threat
34
Crossing
34
Transition ~proxy
33
Press resistance ~proxy
32
Build-up
19
Retention
11
Passing directness
8
08
Similar Players — in style space
Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 185 cm / 79 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style.Scope: pooled across the Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, percentiled within each player's own league before comparing — a match from another league is marked with its league name.
Style, not quality:a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.
Héctor Fort Real Sociedad · La Liga · 185 cm / 78 kg
79%
Driven by: build-up (24%), passing directness (17%), retention (14%). Different mechanism — Fort more via crossing, through-balls.
Ryan Sessegnon Fulham · Premier League · 178 cm / 70 kg
79%
Driven by: build-up (21%), retention (20%), territory (wide vs central) (13%). Different mechanism — Sessegnon more via through-balls, crossing.
James Justin Leeds · Premier League · 183 cm / 80 kg
77%
Driven by: build-up (21%), retention (20%), passing directness (12%). Different mechanism — Bertola more via carrying, dribbling; Justin more via crossing.
Ollie Scarles West Ham · Premier League 25/26 · 182 cm / 75 kg
76%
Driven by: retention (19%), build-up (18%), territory (wide vs central) (14%). Different mechanism — Bertola more via box threat, carrying; Scarles more via ball-winning, line-breaking.
Trai Hume Sunderland · Premier League · 180 cm / 75 kg
76%
Driven by: build-up (23%), retention (20%), press resistance (10%). Different mechanism — Bertola more via carrying, dribbling; Hume more via through-balls, crossing.
Adrià Pedrosa Rayo Vallecano · La Liga · 172 cm / 69 kg
76%
Driven by: build-up (19%), retention (16%), passing directness (13%). Different mechanism — Bertola more via transition; Pedrosa more via crossing, through-balls.
09
Summary
Nicolò Bertola is a stopper centre-back: 85% pass completion, 5 line-breaking passes and 0.0 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]
Based on 4 matches (104 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity.
His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper centre-back profile.
✨ This report is interactive
Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.
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