Combining every season — this one is larger, give it a moment.
Team reportSerie A 2025/26
Cagliari
A territorially-dominated side, aggressive high-press out of possession, with a low-output attack. Finished #14 of 20 on 43 points (11-10-17, 40:53). Tactical profile below is built from 38 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Cagliari and how good was the season?
Read. Cagliari finished #14 of 20 on 43 points (11W-10D-17L, 1.13 pts/game), scoring 40 and conceding 53 for a goal difference of -13.
On the ball they are a territorially-dominated team (39% field tilt, #19 in the league); off it they defend with a aggressive high-press (#19 of 20 for press intensity).
Across the 38 matches of event data, they create 0.96 xG/game (#16) and concede 1.29 (#11), a net of -0.33 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Cagliari actually finish, and against whom?
The authoritative final table (full season), centred on Cagliari.
#
team
P
W
D
L
GF
GA
GD
Pts
11
Sassuolo
38
14
7
17
46
50
-4
49
12
Parma Calcio 1913
38
11
12
15
28
46
-18
45
13
Torino
38
12
9
17
44
63
-19
45
14
Cagliari
38
11
10
17
40
53
-13
43
15
Fiorentina
38
9
15
14
41
50
-9
42
16
Genoa
38
10
11
17
41
51
-10
41
17
Lecce
38
10
8
20
28
50
-22
38
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Cagliari actually dominate for chances — and which periods hurt them?
Net xG (created minus conceded) in each 15-minute window, summed across the whole season's matches — above the line is time they dominate for chances, below is time it hurts them. Real on-clock shot timing.
dominant (net xG for)conceding (net xG against)
Vision AI Model Insight
Cagliari tend to fade after a strong start — first-half net xG -5.57, second-half -7.05. Their strongest period is 31-45' (net -1.11 xG); their most dangerous period to face is 76-90+' (net -3.64 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 matches: Cagliari against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-12.6 xG). Hover a point for that match.
CagliariOpponents against Cagliari
Tactical DNA
The football question
In five genes, what is Cagliari's footballing identity?
Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.
22
Build-Up
possession control from the back
20
Progression
moving the ball upfield with threat
18
Creation
manufacturing chances
5
Press
winning the ball high & hard
45
Solidity
resisting the opponent's threat
Genetic identity
Cagliari are defined most by their Solidity DNA (45/100 · average at resisting the opponent's threat), and least by their Press DNA (5/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
43%
Possession
30%
Field tilt
0%
Disrupt
Central progression ~proxy
48%
Dribble tendency
57%
Progressive passes
35%
Finish
Final-third patience
4%
Shot quality
26%
Open-play xG
13%
Press
Forward press ~proxy
0%
High regains
0%
Pressing efficiency ~proxy
0%
Defend
Def-mid press ~proxy
13%
High line ~proxy
0%
PAdj defensive actions
13%
Cagliari is defined most by Disrupt (46% in the league) and weakest on Press (0%). Percentiles vs the 23 teams in the league this season.
In possession
In possession
How they keep the ball, build up, progress, create and finish, and where their attacks die.
How much of the pitch does Cagliari actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Cagliari's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; Cagliari highlighted. Hover any dot for the team.
Vision AI Model Insight
Cagliari post 39% field tilt, ranking #19 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.13 points/game sits below the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Cagliari has the ball, how much of that time is spent building, progressing and creating?
The share of Cagliari's time on the ball spent in each phase of play, in the order the phases happen. A phase is where the ball is on the pitch (own third, middle third, final third); a transition or a set piece skips the build-up and is counted on its own.
Phase
Share of the time
Build-up
31.8%
Progression
48.1%
Chance creation
17.6%
Attacking transition
2.5%
Vision AI Model Insight
Progression is where Cagliari spends most of its time on the ball (48% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Mina ↔ Pedro
366p · 6.4xT
Adopo ↔ Palestra
254p · 14.6xT
Pedro ↔ Palestra
231p · 15.7xT
Esposito ↔ Obert
224p · 17.3xT
Luperto ↔ Mina
221p · 2.3xT
Zappa ↔ Palestra
215p · 14.9xT
Mina ↔ Caprile
214p · 6.8xT
Luperto ↔ Obert
198p · 5.0xT
Adopo ↔ Zappa
189p · 10.7xT
Mina ↔ Gaetano
188p · 7.2xT
Vision AI Model Insight
Busiest connection: Yerry Mina ↔ Zé Pedro (366 passes). Most dangerous per pass: Michael Folorunsho ↔ Adam Obert (0.09 xT/pass over 153 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Cagliari had the ball
Every touch across 380 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Cagliari actually do its on-ball work?
Passes on one map, carries (the ball travelling with a player) on the other. Each is binned into the 15 pitch zones (three thirds × five vertical lanes) and shaded by its share of that kind of action; the arrows are the real actions.
Passes
the ball moved by a pass
16358
ACTIONS
Carries
the ball moved with a player
3449
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (12.1% of all actions). 59% of actions run through the inside lanes (centre + both half-spaces) versus 41% down the two wings — an inside-dominant, half-space build. By third: 35% defensive, 49% middle, 16% attacking.
Attack Sides
Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Cagliari leaned on their right (42%). The bars under the pitch put the league’s share beside theirs.
Cagliari
36%22%42%
League
38%23%39%
Final-Third Entries
Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. Cagliari made 1129 this season (29.7 a match); 32% came into the right wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
270
7.1
24%
28%
Left half-space
165
4.3
15%
15%
Centre
151
4.0
13%
13%
Right half-space
180
4.7
16%
15%
Right wing
363
9.6
32%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Cagliari progress possession from defence into attack — and who runs it?
Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
5862build-up passes attempted
79%completed
29%reach the middle third
2%go long into the final third
Pass types
2395CB · 51%
264Long Wide · 6%
58Long Central · 1%
1504Wide → FB · 32%
437Central · 9%
Sequence success — build-up
1175build-up sequences this season
7%succeed — reach the next third or a shot
46%turned over with nothing to show
CB2395 · 51%
Long Wide264 · 6%
Long Central58 · 1%
Wide → FB1504 · 32%
Central437 · 9%
◆ Vision AI Insight
Cagliari build predominantly down the left, with Caprile as the fulcrum (843 build-up passes). Only 30% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (309×).
Pass Explorer
Every pass of Cagliari’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 1498 progressive passes across 38 matches (39.4/game).
Origin lane
Right wing
33%
Right half-space
13%
Central
15%
Left half-space
10%
Left wing
30%
Progression is right-dominant: 46% right side · 15% central · 40% left.
Who generates it
Adam Obert
189 · 13%
Sebastiano Esposito
171 · 11%
Elia Caprile
170 · 11%
Marco Palestra
144 · 10%
Gabriele Zappa
131 · 9%
Top two — Adam Obert & Sebastiano Esposito — account for 24% of all progression.
PROGRESSION
39.4 prog passes/game
mostly right
→
PENETRATION
29% reach final third
17% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it.29% of progressive passes reached the final third and 17% the box; the rest was recycled in front of the block. 24% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingefficient
Right half-spacebalanced
Centralsterile
Left half-spacesterile
Left wingefficient
Progression — the pass map
The football question
Once Cagliari have the ball in midfield, how do they actually break into the final third — and who carries that job?
Progression passes grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
7948progression passes attempted
84%completed
12%break into the final third
13%go backward into the defensive third
Pass types
2313CB · 35%
252Long Wide · 4%
42Long Central · 1%
3213Wide → FB · 48%
832Central · 13%
Sequence success — progression
1696progression sequences this season
23%succeed — reach the next third or a shot
44%turned over with nothing to show
CB2313 · 35%
Long Wide252 · 4%
Long Central42 · 1%
Wide → FB3213 · 48%
Central832 · 13%
◆ Vision AI Insight
Cagliari progress predominantly down the right, with Gaetano the busiest midfield outlet (590 progression passes). Only 12% of passes that start in midfield actually break the final-third line — the rest (74%) is recycled back into midfield or (13%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RW mid → RHS mid (397×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
12%
Progressive
1%
Neutral / sideways
52%
Safe / backward
35%
13% of passes are progressive-or-better; the remaining 87% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Cagliari actually progress the ball with their feet, not a pass?
750 progressive carries this season across the whole squad (23% of 3212 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 15m, longest 57m. Most active carrier: Palestra (145). Filter to one player below.
First (249)Second (196)Third (173)Fourth (132)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Chance creation4 sections
Chance creation — how the shots come
The question
Where do Cagliari's chances actually come from?
Every shot sorted twice. First by the kind of attack: an attacking transition (the shot came within 15 seconds of winning the ball), a settled attack (open play after the team had the ball), or a set piece. Then by how it was set up: a cross, a cut-back, a long ball, a pass into the box, or no pass at all (the player created it himself). So a cut-back from an attacking transition is counted apart from a cut-back in a settled attack.
415shots
36.6xG
0.09xG per shot
14big chances (0.3+ xG)
40goals
#14key passes / game in the league
#18box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition19% of shots
79
10
6.90
0.09
Cross
10
2
1.36
0.14
Cut-back
3
1
0.84
0.28
Long ball
5
1
0.56
0.11
Pass into the box / short pass
37
5
2.54
0.07
Own creation (carry, dribble, rebound)
24
1
1.61
0.07
Settled attack59% of shots
245
19
19.67
0.08
Cross
49
4
5.14
0.10
Cut-back
17
1
1.81
0.11
Long ball
10
2
0.78
0.08
Pass into the box / short pass
111
10
7.73
0.07
Own creation (carry, dribble, rebound)
58
2
4.22
0.07
Set piece22% of shots
91
11
10.01
0.11
Corner
74
9
8.03
0.11
Free kick
15
0
0.39
0.03
Penalty
2
2
1.59
0.79
Every attempt to create — and what came of it
Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.
Who sets the shots up
Player
Set-ups
xG created
Goals
Marco Palestra
34
3.57
4
Sebastiano Esposito
48
3.52
3
Gianluca Gaetano
20
1.77
4
Gabriele Zappa
14
1.70
3
Michel Adopo
25
1.68
1
Who takes them
Player
Shots
xG
Goals
Sebastiano Esposito
57
4.64
7
Gennaro Borrelli
30
3.36
5
Michael Folorunsho
36
2.62
2
Michel Adopo
28
2.39
1
Gianluca Gaetano
34
2.08
2
Vision AI Model Insight
The biggest source of Cagliari's chances, by xG, is settled attack (19.7 of 36.6 xG, 245 of 415 shots), mostly pass into the box / short pass. 79 of the 415 shots (19%) came within 15 seconds of winning the ball. 91 of the 415 shots came from set pieces; 40 goals from 36.6 xG (+3.4).
Chance Creation — the pass map
The football question
How does Cagliari consistently create dangerous chances — from which zones, and who creates them?
Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.
Pass types
41CB · 14%
22Long Wide · 8%
28Long Central · 10%
75Wide → FB · 26%
118Central · 42%
Sequence success — final-third
859final-third sequences this season
24%succeed — produce a shot
37%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB41 · 14%
Long Wide22 · 8%
Long Central28 · 10%
Wide → FB75 · 26%
Central118 · 42%
Who creates — volume × threat
68Esposito
32Palestra
26Gaetano
25Obert
25Adopo
14Folorunsho
13Zappa
284key passes #14 of 20
8.4box entries/game #18 of 20
23.7final-3rd entries/game #19 of 20
0.96xG/game #16 of 20
40goals #15 of 20
+3.4finishing vs xG #7 of 20
◆ Vision AI Insight
Cagliari lean right — 43% of their key passes come from that flank and its half-space (123 of 284), most often from Palestra (26). They funnel chances into the c of the final third, most often via RW att → C att (43 key passes, most often from Esposito). Esposito is the primary source overall. They generate 0.96 xG a game and finish it clinical — they beat their xG, led by Sebastiano Esposito (7G), Gennaro Borrelli (5G), Semih Kiliçsoy (4G).
Crosses & Cutbacks — squad-wide
The question
How does Cagliari deliver into the box from wide areas, and what comes of it?
424 crosses: 134 found a team-mate (32%), 55 led to a shot (13%). 62 cut-backs: 30 found a team-mate (48%), 18 led to a shot (29%). A cross starts wide and is aimed into the box; a cut-back starts near the byline and is squared back. Grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball.
Crosses by Territory
The question
Which part of the final third does Cagliari actually cross from?
424 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 25% come from one territory, the advanced right wing; 19 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
106
25%
12
byline · right wing
103
24%
16
advanced · left wing
68
16%
10
byline · left wing
66
16%
9
deep · right wing
38
9%
6
deep · left wing
24
6%
1
advanced · right half-space
6
1%
1
byline · right half-space
4
1%
0
advanced · left half-space
3
1%
0
byline · left half-space
3
1%
0
deep · left half-space
2
0%
0
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
415 shots for 36.6 xG (0.96/game, #16 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Low-output attack. 10.9 shots/game at 0.088 xG/shot. Box entries 8/game (#18). Threat created 8.8 xT/game (#18).
Goal Sequences
The move behind each of Cagliari’s 40 goals this season, from the moment they got the ball to the finish. Pick a goal from the list, then step through it or press Play: numbered circles are passes and touches, dotted lines are carries (the ball travelling with a player), dashed grey is a pass that was lost, the star is the shot.
Each goal’s possession, rebuilt from the raw event feed — 40 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Cagliari scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
29 · 72%
Set pieces
9 · 22%
Penalties
2 · 5%
By finish
Right foot
20 · 50%
Left foot
8 · 20%
Header
12 · 30%
Vision AI Model Insight
40 goals scored. 72% come in open play, but 22% from set pieces — a genuine dead-ball weapon that bypasses the open-play build-up.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
839
Failed forward pass
574
Failed take-on
329
Lost in the defensive third
1204
Their weakest zone is the right half-space in the attacking third: 35% of 394 pass attempts there are lost (139 times). Separately, 25% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does Cagliari press, where, and does it actually work — beyond a single PPDA number?
A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.
6
Pressing Index /100 · passive
Intensity2
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness5
high recoveries & high-regain share
Disruption22
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
18%
RHS
18%
C
23%
LHS
20%
LW
21%
By third (high / mid / low regain)
Def 58%
Mid 33%
Att 9%
Read
Ranked #19 of 20 for press intensity, this is a high press. Note the tension: 58% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (14% high-press share) means that when they do defend, it is often deep. Of recoveries, 48% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#19/20
lower = more intense; rank is what matters
Defensive actions / game
126
#10/20
High-press share
14%
#20/20
def actions won high up
Defensive-action height (0–100)
33.0
#20/20
avg pitch height of actions
High recoveries / game
17.2
#18/20
ball won in mid+att third
High-recovery share
48%
#20/20
share of recoveries won high
Opponent completion allowed
83%
#16/20
lower = more disruptive
Opponent progressive allowed
9.8%
#15/20
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Cagliari win it back with a defensive action?
Counted over the 1104 opposition possessions that Cagliari ended with a tackle, interception, recovery or challenge. Fewer passes and seconds means the ball is won quickly (a press); more means the opponent is allowed to play before Cagliari step in. Cagliari win it after 6.6 opponent passes in the first half-hour and after 4.2 after the hour mark (sooner).
PASSES THEY GET
5.5passes
median 4 · before Cagliari win it
TIME THEY KEEP IT
17sec
median 10s · 29.1 wins per game
How many passes the opponent got in before the ball was won
38%
26%
16%
19%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.7
20s
15–30′
6.5
20s
30–45+′
5.8
18s
45–60′
5.8
18s
60–75′
4.7
14s
75–90+′
3.7
12s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Cagliari were doing with the
ball, and what the opposition were doing about it at that exact moment. Built from the
real action sequence in time order, so one possession is split across the phases it
genuinely passed through rather than labelled once by where it began.
6,426phase segments analysed
7.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#19of 20 for share of defending spent pressing high
High press 4.7%Mid block 10.7%Low block 53.8%Unopposed 30.8%
What opponents do against Cagliari
The mirror image, and the part no other section can show: whether teams come
out to press Cagliari or sit in and invite them on. A side that is always faced with a low
block is playing a different sport from one that is pressed every week.
High press 9.9%Mid block 13.5%Low block 44.1%Unopposed 32.6%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,367
4.8s
3.0
0.2%
51.8%
Progression
2,661
6.4s
3.8
0.5%
52.6%
Chance creation
1,259
5.0s
2.9
28.8%
53.1%
Attacking transition
139
6.4s
4.3
0.7%
39.6%
Most common routes through the phases
How a possession actually travelled, in order. The chain is the tactical signature — a move that climbs all three thirds is a different thing from one that never leaves the first.
Route
Times
Ends in shot
build_up
1,011
0.0%
progression
674
0.4%
build_up → progression
471
0.2%
progression → chance_creation
297
27.6%
chance_creation
278
38.5%
build_up → progression → chance_creation
172
34.3%
Attitude in each third
Every other style number here says how much Cagliari does. This says
how: wide or central, short or long, patient or direct. Bars are standard deviations
from the league mean for passes played from that third; a solid bar marks a dimension
where Cagliari are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 5,862 passes
nothing unusual in this zone
Width of use+0.5122.05
Wide-channel share+0.450.33
Side bias-0.020.08
Pass length-0.1222.28
Long-ball share-0.140.22
Forward gain per pass+0.0011.46
Backward-pass share-0.240.19
Deep-pass share-0.010.29
Completion-0.090.79
Seconds between passes-0.373.11
Side used
left 29% · central 42% · right 29%
Progression (middle third) 7,948 passes
nothing unusual in this zone
Width of use+0.6526.95
Wide-channel share+0.590.45
Side bias-0.24-0.89
Pass length-0.1916.96
Long-ball share+0.080.10
Forward gain per pass-0.003.60
Backward-pass share+0.000.33
Deep-pass share+0.060.16
Completion-0.380.82
Seconds between passes-0.093.16
Side used
left 36% · central 27% · right 37%
Final third 2,548 passes
nothing unusual in this zone
Width of use+0.1732.02
Wide-channel share+0.220.60
Side bias-0.38-3.12
Pass length+0.2015.78
Long-ball share+0.070.10
Forward gain per pass+0.351.50
Backward-pass share-0.270.37
Deep-pass share+0.110.09
Completion-0.440.66
Seconds between passes+0.313.63
Side used
left 38% · central 16% · right 46%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Cagliari's own league. The means
behave as football should: width of use grows 21.0 → 25.6 → 31.6 going forward,
pass length shrinks 22.7 → 17.2 → 15.5 m, and completion is hardest in the
final third. Tempo is integer-resolution because the feed records whole seconds.
Transitions1 section
Transitions — attacking & defensive
The question
When Cagliari win or lose the ball, what actually happens in the seconds after?
Reconstructed from the full timestamped event stream: real possession spells (not zone-clustered), and shots that follow a regain within a fixed window. This phase of play needs ordered, per-event timestamps — which every match here carries.
Direct play share14%
#19 of 20 · reaches final third in ≤3 passes
Patient build-up share26%
#12 of 20 · spells of 6+ passes
Tempo (possession length)16.4s
#6 of 20 · shorter = faster tempo
Passes per possession4.3
#12 of 20
Counter-attack shots /game1.02
#8 of 20 · shot within 12s of a regain in own half
Press→shot /game2.13
#20 of 20 · shot within 8s of a high regain
Speed to final third after regain13.4s
#12 of 20 · lower = faster break
Sequence success — attacking transition
116attacking transition sequences this season
18%succeed — produce a shot
45%turned over with nothing to show
Sequence success — defensive transition
237defensive transition sequences this season
58%succeed — reach the next third or a shot
12%turned over with nothing to show
Vision AI Model Insight
Cagliari are a patient build-up side: 14% of possessions reach the final third in 3 passes or fewer (#19 of 20), against 26% built patiently over 6+ passes (#12 of 20). Winning the ball back leads to a shot inside 12 seconds 1.02 times a game (#8), and a high regain converts to a shot within 8 seconds 2.13 times a game (#20 of 20) — not yet a major source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Cagliari? 1912 opponent progressive passes and 491 shots faced (49.2 xG against) across the season.
Opponent threat by lane (attacking into Cagliari)
Right wing
32%
Right half-space
16%
Central
13%
Left half-space
13%
Left wing
26%
Where the danger came from. Opponents generated most of their threat through the right wing (32% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Cagliari actually come from — open play, dead balls, and who supplies them?
Every goal Cagliari conceded across the loaded matches — the opponent's shots in Cagliari's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.
Where the goals go in
Every opponent key pass against them (345 total)
By situation
Open play
42 · 79%
Set pieces
9 · 17%
Penalties
2 · 4%
Vision AI Model Insight
53 goals conceded. 79% come in open play; set pieces account for only 17%, so dead-ball defending is not the main issue. 9% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (22% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
29 g · 26.6 xG
Set pieces
9 g · 8.4 xG
Penalties
2 g
22% of goals come from set pieces (9 of 40), worth 8.4 xG from 89 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Cagliari's corners go?
144 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (78)
Delivered into the box 94%Short 6%
Left side (66)
Delivered into the box 92%Short 8%
Where opponents attack Cagliari from set pieces
78 shots from opponent corners against Cagliari, 7 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (34)
Shot 34Goals 2
Left flag (44)
Shot 44Goals 5
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 9.48 (5th pct)
field tilt % — 39.10 (5th pct)
box entries /game — 8.39 (10th pct)
threat created /game — 8.78 (10th pct)
xG created /game — 0.96 (20th pct)
Style Archetype & Similar Teams
Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Sassuolo
89%
Parma Calcio 1913
78%
Cremonese
76%
Torino
67%
Lazio
64%
Performance vs Opponent Styles
The question
Not just how Cagliari results against a high press or a low block — how does their own play actually change?
Every match split into three tiers by how hard that specific opponent pressed (opponent PPDA — lower means a more aggressive press), matching Cagliari's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (12m)
1.17
1.00
1.67
vs mid-block opponents (12m)
0.92
1.58
0.92
vs low-block opponents (14m)
1.07
1.57
0.86
Behaviour — how Cagliari actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
73%
19%
34
7.5
6.6
vs mid-block opponents
79%
15%
40
8.8
8.0
vs low-block opponents
83%
11%
44
9.9
10.3
Vision AI Model Insight
Facing a high press, retention drops to 73% vs 83% against a low block (10pt lower under pressure), and directness (long-ball share) sits at 19% when pressed vs 11% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Cagliari are territorially-dominated with a aggressive high-press.
Their attack creates 0.96 xG a game and they concede 1.29 a game.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
For each of ten match numbers, the one match this season that departed furthest from Cagliari’s own average, the eight biggest swings first. Bar right of centre means more than usual, left means less. It shows how much the way they play moves from game to game, and which opponent moved it.
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Cagliari’s last 12 matches added up: where the value came from, who produced it, and the six biggest single moves. OBV only measures what a player does with the ball: it shows who added the most on-ball value, not who was the most important player (defending off the ball, positioning and pressing are not in it).
+18.8on-ball value, 12 matches
Where the value came from
Passes5203 actions+8.42
Carries1092 actions-0.35
Dribbles187 actions+0.62
Shots155 actions+6.78
Ball wins680 actions+3.30
Most on-ball value (OBV)
Actions
OBV
per 100
Sebastiano Esposito
575
+3.84
+0.67
Marco Palestra
578
+2.18
+0.38
Gianluca Gaetano
724
+1.78
+0.25
Adam Obert
609
+1.31
+0.21
Elia Caprile
432
+1.10
+0.25
Alberto Dossena
489
+1.02
+0.21
Paul Mendy
127
+1.02
+0.80
Yerry Mina
572
+0.94
+0.16
Biggest single moves
OBV
1 Sebastiano Esposito · shot
+0.616
2 Gennaro Borrelli · shot
+0.570
3 Juan Rodríguez · shot
+0.428
4 Ibrahim Sulemana · shot
+0.389
5 Yerry Mina · shot
+0.381
6 Paul Mendy · shot
+0.347
Set Pieces by Player
Who delivers Cagliari’s dead balls and who finishes them this season. 144 corners taken, most by Sebastiano Esposito (77); 89 shots from corners and free kicks, 9 goals, led by Yerry Mina (2 goals, 1.50 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Sebastiano Esposito
77
65 (84%)
14
—
0.41
7
1/1
Gianluca Gaetano
16
14 (88%)
13
1
0.37
5
—
Adam Obert
23
21 (91%)
2
—
0.18
—
—
Matteo Prati
9
9 (100%)
5
1
0.50
1
—
Michael Folorunsho
—
—
6
—
0.25
—
—
Yerry Mina
—
—
6
2
1.50
—
—
Gennaro Borrelli
—
—
5
2
0.98
—
—
Alessandro Deiola
—
—
5
—
0.50
1
—
Zé Pedro
—
—
5
—
0.47
—
—
Luca Mazzitelli
—
—
5
—
0.26
1
—
Mattia Felici
10
7 (70%)
1
—
0.03
—
—
Michel Adopo
—
—
4
—
0.44
—
—
Andrea Belotti
—
—
2
—
0.32
—
1/1
Alberto Dossena
—
—
3
—
0.16
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Sebastiano Esposito
F
2728
2.24
77
35.8
Marco Palestra
M
3236
0.89
48
24.9
Gianluca Gaetano
M
2030
1.15
32
25.3
Adam Obert
D
2898
0.78
31
36.3
Michel Adopo
M
3187
0.71
18
19.6
Gabriele Zappa
D
1711
0.68
20
26.7
Michael Folorunsho
M
2076
0.61
14
8.4
Gennaro Borrelli
F
1356
0.66
6
2.4
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Gabriele Zappa
FB
1711
25 (40%)
5 (20%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Adam Obert
D
2898
468
68
42
127
Michel Adopo
M
3187
416
57
29
176
Yerry Mina
D
2272
374
32
26
80
Marco Palestra
M
3236
315
55
20
116
Sebastiano Esposito
F
2728
307
56
20
93
Zé Pedro
D
1778
275
31
20
56
Gianluca Gaetano
M
2030
259
29
22
108
Michael Folorunsho
M
2076
249
24
9
65
Full Squad Data
Every player with 100+ minutes (25 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Elia Caprile
G
38
3619
0
0.0
1
170
65
35.3
Marco Palestra
M
37
3236
1
2.0
32
144
315
24.9
Michel Adopo
M
38
3187
1
2.4
25
92
416
19.6
Adam Obert
D
35
2898
0
0.9
25
189
468
36.3
Sebastiano Esposito
F
36
2728
7
4.6
68
171
307
35.8
Yerry Mina
D
26
2272
2
1.7
7
45
374
17.7
Michael Folorunsho
M
27
2076
2
2.6
14
39
249
8.4
Gianluca Gaetano
M
33
2030
2
2.1
26
103
259
25.3
Zé Pedro
D
23
1778
0
0.5
3
78
275
20.1
Gabriele Zappa
D
31
1711
0
0.8
13
131
199
26.7
Alessandro Deiola
M
20
1494
0
1.5
5
30
191
8.6
Juan Rodríguez
D
17
1366
1
0.5
0
46
230
10.7
Gennaro Borrelli
F
27
1356
5
3.4
10
9
166
2.4
Semih Kiliçsoy
F
22
1034
4
1.4
8
15
79
2.8
Ibrahim Sulemana
M
16
937
1
1.6
6
22
141
5.5
Alberto Dossena
D
12
924
0
0.6
3
14
136
6.7
Riyad Idrissi
M
23
892
2
0.5
6
41
131
7.4
Luca Mazzitelli
M
18
825
2
0.9
3
38
135
8.1
Mattia Felici
M
12
448
2
0.7
8
17
43
3.1
Zito Luvumbo
M
12
382
0
0.8
3
9
23
1.9
Paul Mendy
F
9
375
2
1.7
4
6
71
0.9
Leonardo Pavoletti
F
13
283
1
1.2
2
0
39
0.4
Joseph Liteta
M
4
270
0
0.0
0
3
49
1.4
Andrea Belotti
F
8
249
2
1.6
1
0
26
0.4
Yael Trepy
F
8
134
1
0.6
2
2
12
0.6
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.
Elia Caprile
Goalkeeper · Goalkeeper
minutes3619
goals · xG0 · 0.0
prog passes /904.2
key passes /900.02
def actions /901.6
pass accuracy68%
Marco Palestra
Box-to-box midfielder · Midfielder
minutes3236
goals · xG1 · 2.0
prog passes /904.0
key passes /900.89
def actions /908.8
pass accuracy78%
Michel Adopo
Ball-winner / destroyer · Midfielder
minutes3187
goals · xG1 · 2.4
prog passes /902.6
key passes /900.71
def actions /9011.7
pass accuracy81%
Adam Obert
Ball-playing defender · Defender
minutes2898
goals · xG0 · 0.9
prog passes /905.9
key passes /900.78
def actions /9014.5
pass accuracy80%
Sebastiano Esposito
Advanced creator · Attacking mid
minutes2728
goals · xG7 · 4.6
prog passes /905.6
key passes /902.24
def actions /9010.1
pass accuracy70%
Yerry Mina
Stopper / marker · Defender
minutes2272
goals · xG2 · 1.7
prog passes /901.8
key passes /900.28
def actions /9014.8
pass accuracy91%
Michael Folorunsho
Ball-winner / destroyer · Midfielder
minutes2076
goals · xG2 · 2.6
prog passes /901.7
key passes /900.61
def actions /9010.8
pass accuracy65%
Gianluca Gaetano
Ball-winner / destroyer · Midfielder
minutes2030
goals · xG2 · 2.1
prog passes /904.6
key passes /901.15
def actions /9011.5
pass accuracy79%
Zé Pedro
Stopper / marker · Defender
minutes1778
goals · xG0 · 0.5
prog passes /903.9
key passes /900.15
def actions /9013.9
pass accuracy85%
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — bottom-third: press intensity (PPDA) (5th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (9.48, 5th percentile vs the league).
Need — bottom-third: field tilt % (5th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (39.10, 5th percentile vs the league).
Need — bottom-third: box entries /game (10th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (8.39, 10th percentile vs the league).