Thin sample this season. Nicolò Rovella has played 2 matches (132 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
drop between the centre-backs — mostly in the middle third (67% of his 83 passes)
93% completion · 83× in 2/2 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
50% won · 2× in 2/2 matches
↓
SCREEN / WIN BALL
protect the back four
10.9 ball-wins/90 · 16× in 2/2 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
7.5 f3-entries/90 · 11× in 2/2 matches
Signature: Receive → Escape Pressure → Screen / Win Ball → Recycle / Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: progress central — 2× (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.
2 key passes (1.36/90), 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 (2)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 do his chances come from?
Of 2 key passes, his busiest route is a delivery where he switches it out from the central to the left hs, advancing it forward in the middle third — 1 times. The receiver isn't identifiable in this data, only where the pass started and ended.
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 half-space in the middle third: 20% of his 10 touches there are lost (2 times).
26 defensive actions across the season (17.7/90). 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
2
interceptions · 1.4/90
11
recoveries · 7.5/90
4
clearances · 2.7/90
1
blocks
42
avg action height
3
won high (att 3rd)
15
middle third
8
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 16 proactive ball-wins (10.9/90), tackle success 67%. He defends high, stepping out to intercept — suits a high line.
Team
Team context
How much of the team runs through him, and what changes without him.
Lazio's output per match with Nicolò Rovella (2 matches) versus without him (7 matches). Insufficient evidence — the without-sample is only 7 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 (2)
WITHOUT (7)
Δ
goals against /match
0.00
1.00
-1.00
points /match
3.00
2.71
+0.29
goals for /match
1.00
2.86
-1.86
xG for /match
0.88
0.00
+0.88
06
His Share of the Team
Of everything Lazio produced this season, the categories where the biggest share ran through Nicolò Rovella specifically — his share of the team total, not a per-90 rate.
category
share
him / team
final-third entries
4%
67 / 1546
half-space entries
4%
34 / 933
threat added by passing (xT)
3%
12.9 / 377.3
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 258 defensive mids 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.
Tempo controller88%Deep-lying playmaker87%Ball-winning 678%
Why Tempo controller 88%: a weighted blend of retention 97 (weight 35%) + build-up 70 (weight 30%) + press resistance 89 (weight 20%) + progression 88 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
ball-winning, defensive aggression, passing directness, territory (wide vs central)
Weak
box threat
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
97
Receiving zones
94
Final-third threat
91
Dribbling
89
Press resistance ~proxy
89
Progression
88
Line-breaking
85
Through-balls ~proxy
83
Creativity
83
Carrying
82
Crossing
77
Transition ~proxy
73
Build-up
70
Ball-winning
69
Defensive aggression
59
Passing directness
47
Territory (wide vs central)
40
Box threat
18
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: 179 cm / 66 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.
Youri Regeer Werder Bremen · Bundesliga · 177 cm / 68 kg
92%
Driven by: retention (12%), press resistance (11%), crossing (9%). Different mechanism — Rovella more via dribbling; Regeer more via passing directness.
Valentin Rongier Rennes · Ligue 1 · 172 cm / 67 kg
88%
Driven by: creativity (13%), receiving zones (12%), retention (11%). Different mechanism — Rovella more via dribbling, through-balls; Rongier more via territory (wide vs central), passing directness.
Eduardo Camavinga Real Madrid · La Liga · 182 cm / 68 kg
86%
Driven by: press resistance (14%), retention (13%), receiving zones (11%). Different mechanism — Rovella more via passing directness, transition; Camavinga more via box threat, territory (wide vs central).
Elliot Anderson Man City · Premier League · 179 cm / 69 kg
78%
Driven by: final-third threat (11%), progression (10%), creativity (10%). Different mechanism — Rovella more via retention; Anderson more via box threat, passing directness.
Johnny Cardoso Atletico · La Liga · 186 cm / 78 kg
77%
Driven by: receiving zones (14%), press resistance (10%), final-third threat (10%). Different mechanism — Rovella more via line-breaking, creativity; Cardoso more via defensive aggression, passing directness.
Mateus Fernandes Tottenham · Premier League · 178 cm / 72 kg
77%
Driven by: final-third threat (12%), press resistance (11%), creativity (10%). Different mechanism — Rovella more via passing directness, retention; Fernandes more via box threat, territory (wide vs central).
09
Summary
Nicolò Rovella is a tempo controller / deep-lying playmaker: 93% completion, 2 line-breaks and 2.0 progressive passes /90, resisting pressure with 50% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]
Based on 2 matches (132 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — best used in a system built around that identity.
His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall tempo controller 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.
← BACK TO SEARCH
