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 middle third (50% of his 115 passes)
88% completion · 115× in 4/4 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.9 prog/90 · 8× in 3/4 matches
↓
PROGRESS
entries into the final third
3.0/90 · 7× in 3/4 matches
Signature: Receive → Break A Line → Progress — the only steps proven repeatable this season (3 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 2× (low confidence, shown as a number only, no tactical conclusion drawn); switch play — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
11
Where is he influential — vs where is he merely present?
Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.
own goal left, attacking →
29
passes / match
19.5
def actions / 90
2–57
pass range (matches)
13
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 57 at the high) — a measure of match-to-match involvement, not pass distance.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
33 tracked carries (14.0/90, 7 progressive, 298m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.
progressivelateral/short% of his 33 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 18m
By zone — where the carry started → where it ended
First (17)Second (16)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Beaten in the tackle
How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).
2
tackle duels
2
won
0
beaten · 0%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Tackle-duel location — 1 inside · 1 outside
Right Wing
1 · 50%
Right Half-Space
1 · 50%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 0 of 2 tackle duels (0% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 1 dribble of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.
07
How does he create chances?
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
03
Where Does He Receive?
The zones where Diego Coppola gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
22%
Primary
Right Wing, Defensive third
21%
Secondary
Right Half-Space, Middle third
20%
Third
Right Wing, Middle third
These are the zones where he collected the ball most.
04
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Diego Coppola actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.
Filter:
own goal left, attacking → · brighter + higher number = more touches
Passes only — completed vs incomplete, by zone
Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.
own goal left, attacking →
06
Every Pass This Season — completed vs incomplete
Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing, advancing it forward in the middle third — 2 passes worth 0.41 xT.
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 defensive third: 32% of his 25 touches there are lost (8 times).
46 defensive actions across the season (19.5/90). 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 →
2
tackles · 100% won
1
interceptions · 0.4/90
6
recoveries · 2.5/90
13
clearances · 5.5/90
4
blocks
28
avg action height
2
won high (att 3rd)
13
middle third
31
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 9 proactive ball-wins (3.8/90), tackle success 100%. 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.
Paris FC's output per match with Diego Coppola (5 matches) versus without him (33 matches). Insufficient evidence — the without-sample is only 33 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 (5)
WITHOUT (33)
Δ
goals against /match
1.20
1.21
-0.01
points /match
1.60
1.36
+0.24
goals for /match
1.40
1.36
+0.04
xG for /match
1.23
0.76
+0.47
10
His Share of the Team
Of everything Paris FC produced this season, the categories where the biggest share ran through Diego Coppola specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
14%
178 / 1276
threat added by passing (xT)
4%
25.2 / 563.7
ball recoveries
4%
84 / 2107
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.
Ball-playing centre-back61%Stopper centre-back31%
Why Ball-playing centre-back 61%: a weighted blend of retention 62 (weight 30%) + build-up 61 (weight 30%) + progression 46 (weight 25%) + press resistance 62 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
through-balls, territory (wide vs central), carrying, crossing, ball-winning, box threat
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
84
Retention
62
Press resistance ~proxy
62
Build-up
61
Receiving zones
54
Dribbling
53
Final-third threat
48
Transition ~proxy
48
Line-breaking
48
Progression
46
Creativity
44
Defensive aggression
43
Through-balls ~proxy
30
Territory (wide vs central)
29
Carrying
27
Crossing
24
Ball-winning
22
Box threat
21
13
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: 192 cm / 78 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 Ligue 1, Bundesliga, La Liga, Premier League and Serie A, 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.
Nikola Milenkovic Nottingham Forest · Premier League · 195 cm / 90 kg
72%
Driven by: ball-winning (19%), passing directness (15%), carrying (15%). Different mechanism — Coppola more via progression, defensive aggression; Milenkovic more via crossing.
Jay Idzes Sassuolo · Serie A · 184 cm / 82 kg
70%
Driven by: box threat (19%), crossing (14%), ball-winning (13%). Different mechanism — Coppola more via receiving zones, final-third threat; Idzes more via dribbling.
Joseph Aidoo Celta Vigo · La Liga 25/26 · 184 cm / 80 kg
69%
Driven by: passing directness (15%), box threat (14%), territory (wide vs central) (10%). Different mechanism — Coppola more via line-breaking, progression; Aidoo more via retention, ball-winning.
Alessio Romagnoli Lazio · Serie A · 185 cm / 75 kg
68%
Driven by: crossing (17%), ball-winning (15%), passing directness (12%). Different mechanism — Coppola more via defensive aggression; Romagnoli more via retention, build-up.
Maximilian Kilman West Ham · Premier League 25/26 · 194 cm / 89 kg
66%
Driven by: ball-winning (26%), box threat (12%), crossing (10%). Different mechanism — Coppola more via receiving zones, line-breaking.
Christian Kabasele Udinese · Serie A · 187 cm / 84 kg
65%
Driven by: ball-winning (16%), crossing (16%), passing directness (13%). Different mechanism — Coppola more via receiving zones, final-third threat; Kabasele more via box threat.
14
Summary
Diego Coppola is a ball-playing centre-back: 88% pass completion, 8 line-breaking passes and 5.9 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 5 matches (212 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back — best used in a system built around that identity.
His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall ball-playing 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.