العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportSerie A 2025/26

Joseph Liteta

Cagliari
Ball-winning 6 (destroyer) DM
16.3 defensive actions/90
defensive midtempo controllerpress resistancescreening
270
minutes
4 apps
131
passes
85% completed
85%
pass completion
131 passes
1
progressive passes
0.3/90
49
defensive actions
16.3/90
13
tackles + interceptions
40% tackle win
21
recoveries
7.0/90
14
line-breaking passes
4.7/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Joseph Liteta has played 4 matches (270 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 (66% of his 131 passes)
85% completion · 131× in 4/4 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
67% won · 3× in 2/4 matches
↓
PROGRESS CENTRAL
break a line through the middle
0.3 prog/90 · 14× in 4/4 matches
↓
SCREEN / WIN BALL
protect the back four
11.3 ball-wins/90 · 34× in 4/4 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.0 f3-entries/90 · 6× in 3/4 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
12

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 →
33
passes / match
16.3
def actions / 90
26–42
pass range (matches)
3
clearances
Pass range = his fewest and most passes in any single match this season (26 at the low end, 42 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.

07

How dangerous are his carries?

Real ball-carries

15 tracked carries (5.0/90, 1 progressive, 119m 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.

13%7%13%13%7%27%13%7%
progressivelateral/short% of his 15 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 13m
By zone — where the carry started → where it ended
10Inside → Inside
1Outside → Outside
4Inside → Outside
First (15)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).

5
tackle duels
2
won
3
beaten · 60%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 80%
OUTSIDE 20%
Tackle-duel location — 4 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
1 · 20%
Central
1 · 20%
Left Half-Space
2 · 40%
Left Wing
1 · 20%
Vision AI beaten in 3 of 5 tackle duels (60% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 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?

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 become vulnerable?

21 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

2
attacking third (cheap)
14
middle third
5
own third (dangerous)
Vision AI 10% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.95 danger-index/90 · 0.421 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Joseph Liteta 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).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
23%
Primary
Central, Middle third
22%
Secondary
Left Half-Space, Middle third
10%
Third
Left Half-Space, Defensive third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Joseph Liteta 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:
215152021181820422582
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.

2%2%4%6%2%13%14%15%3%2%10%11%15%2%1%
own goal left, attacking →
08

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.

1Progressive
14Long ball
3Switch
By zone — where the pass started → where it landed
8Outside → Inside
70Inside → Inside
15Outside → Outside
18Inside → Outside
By direction
43Forward
33Backward
55Sideways
own goal left, attacking →
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 half-space in the middle third: 42% of his 12 touches there are lost (5 times).
—2 touches · too few—4 touches · too few17%2/12 lost9%1/11 lost—6 touches · too few—4 touches · too few42%5/12 lost10%3/31 lost17%5/30 lost0%0/10 lost—1 touch · too few—1 touch · too few—3 touches · too few—1 touch · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

49 defensive actions across the season (16.3/90). 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 →
5
tackles · 40% won
8
interceptions · 2.7/90
21
recoveries · 7.0/90
3
clearances · 1.0/90
1
blocks
33
avg action height
1
won high (att 3rd)
16
middle third
32
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 34 proactive ball-wins (11.3/90), tackle success 40%. He defends mostly around the middle third.
Team

Team context

How much of the team runs through him, and what changes without him.

10

Impact on the Team

Cagliari's output per match with Joseph Liteta (4 matches) versus without him (34 matches). Insufficient evidence — the without-sample is only 34 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 (34)
Δ
goals against /match
1.75
1.35
+0.40
points /match
0.50
1.21
-0.71
goals for /match
1.25
1.03
+0.22
xG for /match
0.55
0.56
-0.00
11

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 / 412
ball recoveries
1%
22 / 1711
zone-14 entries
1%
3 / 240
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

13

Playing-Style Profile

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.
Elite
—
Strong
dribbling, press resistance, build-up, retention
Average
ball-winning, receiving zones, defensive aggression, crossing
Weak
transition, creativity, passing directness, carrying, line-breaking, territory (wide vs central), final-third threat, progression, through-balls, box threat
Unknown
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
14

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.
15

Summary

Joseph Liteta is a tempo controller / deep-lying playmaker: 85% completion, 14 line-breaks and 0.3 progressive passes /90, resisting pressure with 67% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 4 matches (270 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.

Vision AI · building report