Thin sample this season. Jorge Cuenca has played 1 match (94 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 middle third (51% of his 87 passes)
89% completion · 87× in 1/1 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
8.6 prog/90 · 11× in 1/1 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 1× in 1/1 matches
↓
PROGRESS
entries into the final third
5.7/90 · 6× in 1/1 matches
Signature: Receive → Break A Line → Switch Play → 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: carry out — 0× (insufficient confidence, hidden — not enough evidence yet) — 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.
24 tracked carries (23.0/90, 3 progressive, 179m 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 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 25m
By zone — where the carry started → where it ended
First (13)Second (11)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).
1
tackle duels
1
won
0
beaten · 0%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 0%
OUTSIDE 100%
Tackle-duel location — 0 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
1 · 100%
Vision AI beaten in 0 of 1 tackle duels (0% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 0 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.
04
How does he create chances?
2 key passes (1.91/90), 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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the left wing toward the left hs, advancing it forward in the defensive third — 1 passes worth 0.48 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central, advancing it forward in the defensive 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 central in the defensive third: 20% of his 10 touches there are lost (2 times).
Team
Team context
How much of the team runs through him, and what changes without him.
Fulham's output per match with Jorge Cuenca (1 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 (1)
WITHOUT (7)
Δ
goals against /match
3.00
1.00
+2.00
points /match
0.00
1.14
-1.14
goals for /match
2.00
0.86
+1.14
xG for /match
1.25
0.13
+1.13
06
His Share of the Team
Of everything Fulham produced this season, the categories where the biggest share ran through Jorge Cuenca specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
8%
83 / 1050
interceptions
5%
17 / 327
threat added by passing (xT)
4%
14.8 / 420.3
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 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-back75%Stopper centre-back63%
Why Ball-playing centre-back 75%: a weighted blend of build-up 83 (weight 30%) + progression 75 (weight 25%) + retention 61 (weight 30%) + press resistance 48 (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
Build-up
83
Carrying
76
Progression
75
Through-balls ~proxy
71
Ball-winning
70
Transition ~proxy
69
Final-third threat
68
Creativity
63
Line-breaking
62
Retention
61
Crossing
58
Territory (wide vs central)
55
Passing directness
53
Receiving zones
52
Press resistance ~proxy
48
Defensive aggression
45
Dribbling
41
Box threat
15
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: 190 cm / 75 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 Premier League, Bundesliga, La Liga, Ligue 1 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.
Sadibou Sané Monaco · Ligue 1 · 185 cm / 76 kg
84%
Driven by: box threat (17%), carrying (13%), transition (13%). Different mechanism — Cuenca more via build-up; Sané more via receiving zones.
Calvin Bassey Fulham · 185 cm / 76 kg
76%
Driven by: carrying (23%), build-up (19%), transition (16%). Different mechanism — Cuenca more via creativity; Bassey more via box threat, dribbling.
Daley Blind Girona · La Liga 25/26 · 180 cm / 72 kg
73%
Driven by: progression (13%), carrying (13%), transition (12%). Different mechanism — Cuenca more via build-up; Blind more via dribbling, receiving zones.
Aïssa Mandi Levante · La Liga · 186 cm / 81 kg
72%
Driven by: build-up (19%), progression (16%), transition (14%). Different mechanism — Cuenca more via territory (wide vs central); Mandi more via retention, press resistance.
Manu Fernández Celta Vigo · La Liga 25/26 · 185 cm / 83 kg
71%
Driven by: box threat (31%), build-up (17%), carrying (14%). Different mechanism — Cuenca more via passing directness, through-balls.
Moussa Niakhaté Lyon · Ligue 1 · 190 cm / 82 kg
70%
Driven by: transition (16%), progression (15%), box threat (13%). Different mechanism — Cuenca more via ball-winning, territory (wide vs central); Niakhaté more via passing directness, line-breaking.
09
Summary
Jorge Cuenca is a ball-playing centre-back / stopper centre-back: 89% pass completion, 11 line-breaking passes and 8.6 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 1 matches (94 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back / stopper centre-back — best used in a system built around that identity.
His biggest room for growth is press resistance — 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.