Thin sample this season. Joseph Liteta has played 2 matches (31 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 (80% of his 20 passes)
90% completion · 20× in 2/2 matches
↓
PROGRESS CENTRAL
break a line through the middle
8.7 prog/90 · 4× in 2/2 matches
↓
SCREEN / WIN BALL
protect the back four
2.9 ball-wins/90 · 1× in 2/2 matches
Signature: Receive → Progress Central → Screen / Win Ball — 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: escape pressure — 0× (insufficient confidence, hidden — not enough evidence yet); recycle / progress — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
Team
Team context
How much of the team runs through him, and what changes without him.
Cagliari's output per match with Joseph Liteta (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
4.00
0.71
+3.29
points /match
0.00
1.86
-1.86
goals for /match
1.00
0.86
+0.14
xG for /match
2.31
0.76
+1.55
03
His Share of the Team
Of everything Cagliari produced this season, the categories where the biggest share ran through Joseph Liteta specifically — his share of the team total, not a per-90 rate.
category
share
him / team
interceptions
2%
8 / 383
ball recoveries
1%
22 / 1565
zone-14 entries
1%
3 / 229
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 302 defensive mids in the pool (min 180 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 controller69%Deep-lying playmaker58%Ball-winning 656%
Why Tempo controller 69%: a weighted blend of retention 72 (weight 35%) + build-up 73 (weight 30%) + press resistance 74 (weight 20%) + progression 9 (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
Dribbling
77
Press resistance ~proxy
74
Build-up
73
Retention
72
Ball-winning
69
Receiving zones
54
Defensive aggression
45
Crossing
45
Transition ~proxy
39
Creativity
34
Passing directness
27
Carrying
20
Line-breaking
15
Territory (wide vs central)
14
Final-third threat
9
Progression
9
Through-balls ~proxy
8
Box threat
3
05
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: 175 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 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.
André Wolves · Premier League 25/26 · 176 cm / 77 kg
87%
Driven by: box threat (19%), territory (wide vs central) (10%), build-up (9%). Different mechanism — André more via through-balls, progression.
Lukasz Poreba Elversberg · Bundesliga · 179 cm / 76 kg
84%
Driven by: box threat (17%), territory (wide vs central) (9%), final-third threat (9%). Different mechanism — Liteta more via receiving zones, ball-winning; Poreba more via progression, carrying.
Rodrigo Bentancur Tottenham · Premier League · 187 cm / 72 kg
81%
Driven by: progression (13%), final-third threat (11%), box threat (10%). Different mechanism — Bentancur more via defensive aggression, carrying.
Carlos Baleba Man Utd · Premier League · 179 cm / 73 kg
77%
Driven by: final-third threat (15%), progression (13%), territory (wide vs central) (11%). Different mechanism — Liteta more via passing directness; Baleba more via box threat, defensive aggression.
Haris Belkebla Angers · Ligue 1 · 177 cm / 68 kg
76%
Driven by: box threat (19%), final-third threat (13%), progression (12%). Different mechanism — Liteta more via receiving zones, defensive aggression; Belkebla more via territory (wide vs central), passing directness.
Boubacar Traoré Metz · Ligue 1 25/26 · 183 cm / 67 kg
76%
Driven by: final-third threat (13%), progression (13%), press resistance (11%). Different mechanism — Liteta more via receiving zones; Traoré more via box threat, carrying.
06
Summary
Joseph Liteta is a tempo controller / deep-lying playmaker: 90% completion, 4 line-breaks and 8.7 progressive passes /90, resisting pressure with 0% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]
Based on 2 matches (31 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 progression — 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.
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