Combining every season — this one is larger, give it a moment.
Team reportSerie A 2026
Cagliari
A territorially-dominated side, aggressive high-press out of possession, with a moderate attack. Currently #9 of 20 on 13 points (4-1-4, 8:13). Tactical profile below is built from 9 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 currently sit #9 of 20 on 13 points (4W-1D-4L, 1.44 pts/game), scoring 8 and conceding 13 for a goal difference of -5.
On the ball they are a territorially-dominated team (33% field tilt, #20 in the league); off it they defend with a aggressive high-press (#19 of 20 for press intensity).
Across the 9 matches of event data, they create 1.10 xG/game (#16) and concede 1.64 (#16), a net of -0.54 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
6
Frosinone
8
4
2
2
17
13
+4
14
7
Juventus
8
4
2
2
11
8
+3
14
8
Torino
9
4
1
4
14
14
+0
13
9
Cagliari
9
4
1
4
8
13
-5
13
10
Napoli
8
3
2
3
13
10
+3
11
11
Atalanta
8
3
1
4
14
15
-1
10
12
Lecce
8
3
0
5
9
14
-5
9
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 -1.20, second-half -3.66. Their strongest period is 61-75' (net +1.66 xG); their most dangerous period to face is 76-90+' (net -3.83 xG against them).
xG Race — the season, match by match
Expected goals piling up over 9 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 (-4.9 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.
20
Build-Up
possession control from the back
32
Progression
moving the ball upfield with threat
12
Creation
manufacturing chances
2
Press
winning the ball high & hard
20
Solidity
resisting the opponent's threat
Genetic identity
Cagliari are defined most by their Progression DNA (32/100 · limited at moving the ball upfield with threat), and least by their Press DNA (2/100). 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
43%
Dribble tendency
48%
Progressive passes
30%
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 (41% 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 33% field tilt, ranking #20 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.44 points/game sits above the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.
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
39.0%
Progression
42.5%
Chance creation
16.3%
Attacking transition
2.3%
Vision AI Model Insight
Progression is where Cagliari spends most of its time on the ball (42% 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
Caprile ↔ Rodríguez
136p · -0.6xT
Obert ↔ Rodríguez
110p · -0.8xT
Winks ↔ Romano
95p · 0.6xT
Adopo ↔ Pedro
87p · 2.2xT
Deiola ↔ Rodríguez
84p · -0.3xT
Deiola ↔ Pedro
64p · -0.7xT
Obert ↔ Romano
63p · 0.7xT
Winks ↔ Rodríguez
61p · 0.0xT
Deiola ↔ Winks
60p · -0.2xT
Winks ↔ Adopo
59p · 0.8xT
Vision AI Model Insight
Busiest connection: Elia Caprile ↔ Juan Rodríguez (136 passes). Most dangerous per pass: Adam Obert ↔ Paul Mendy (0.04 xT/pass over 31 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 83 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
4039
ACTIONS
Carries
the ball moved with a player
778
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (15.1% of all actions). 67% of actions run through the inside lanes (centre + both half-spaces) versus 33% down the two wings — an inside-dominant, half-space build. By third: 39% defensive, 46% middle, 15% 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 spread it evenly (no channel above 38%). The bars under the pitch put the league’s share beside theirs.
Cagliari
38%29%33%
League
38%24%38%
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 275 this season (30.6 a match); 24% 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
58
6.4
21%
29%
Left half-space
52
5.8
19%
15%
Centre
47
5.2
17%
13%
Right half-space
52
5.8
19%
16%
Right wing
66
7.3
24%
28%
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.
1595build-up passes attempted
83%completed
30%reach the middle third
1%go long into the final third
Pass types
678CB · 51%
74Long Wide · 6%
17Long Central · 1%
409Wide → FB · 31%
147Central · 11%
Sequence success — build-up
105build-up sequences this season
8%succeed — reach the next third or a shot
34%turned over with nothing to show
CB678 · 51%
Long Wide74 · 6%
Long Central17 · 1%
Wide → FB409 · 31%
Central147 · 11%
◆ Vision AI Insight
Cagliari build predominantly down the left, with Rodríguez as the fulcrum (276 build-up passes). Only 31% 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 → LHS def (89×).
Pass Explorer
Every pass of Cagliari’s last 9 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. 391 progressive passes across 9 matches (43.4/game).
Origin lane
Right wing
26%
Right half-space
12%
Central
21%
Left half-space
13%
Left wing
28%
Progression is left-dominant: 38% right side · 21% central · 41% left.
Who generates it
Adam Obert
59 · 15%
Zé Pedro
51 · 13%
Elia Caprile
45 · 12%
Michel Adopo
37 · 9%
Alessandro Romano
29 · 7%
Top two — Adam Obert & Zé Pedro — account for 28% of all progression.
PROGRESSION
43.4 prog passes/game
mostly left
→
PENETRATION
28% reach final third
13% reach the box
→
THREAT
the other 72% is recycled
progress ≠ danger
What came of it.28% of progressive passes reached the final third and 13% the box; the rest was recycled in front of the block. 28% of the progression ran through two players, mostly down the left 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
Centralbalanced
Left half-spacebalanced
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.
1864progression passes attempted
86%completed
12%break into the final third
16%go backward into the defensive third
Pass types
473CB · 29%
31Long Wide · 2%
9Long Central · 1%
791Wide → FB · 49%
303Central · 19%
Sequence success — progression
164progression sequences this season
26%succeed — reach the next third or a shot
42%turned over with nothing to show
CB473 · 29%
Long Wide31 · 2%
Long Central9 · 1%
Wide → FB791 · 49%
Central303 · 19%
◆ Vision AI Insight
Cagliari progress predominantly down the left, with Winks the busiest midfield outlet (211 progression passes). Only 12% of passes that start in midfield actually break the final-third line — the rest (71%) is recycled back into midfield or (16%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is C mid → RHS mid (86×) — 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)
14%
Progressive
1%
Neutral / sideways
48%
Safe / backward
37%
15% of passes are progressive-or-better; the remaining 85% 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?
168 progressive carries this season across the whole squad (22% of 777 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 45m. Most active carrier: Maldini (24). Filter to one player below.
First (46)Second (45)Third (39)Fourth (38)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.
97shots
9.9xG
0.10xG per shot
6big chances (0.3+ xG)
8goals
#17key passes / game in the league
#20box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition21% of shots
20
3
2.39
0.12
Cross
1
0
0.08
0.08
Cut-back
3
1
0.77
0.26
Long ball
2
0
0.20
0.10
Pass into the box / short pass
8
1
0.92
0.12
Own creation (carry, dribble, rebound)
6
1
0.41
0.07
Settled attack55% of shots
53
2
4.81
0.09
Cross
13
0
1.77
0.14
Cut-back
5
1
0.59
0.12
Long ball
3
0
0.20
0.07
Pass into the box / short pass
24
1
1.80
0.07
Own creation (carry, dribble, rebound)
8
0
0.46
0.06
Set piece25% of shots
24
3
2.72
0.11
Corner
20
1
1.07
0.05
Free kick
2
0
0.06
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
Alessandro Deiola
5
1.05
0
Alieu Fadera
6
1.02
0
Michel Adopo
12
0.85
2
Paul Mendy
5
0.84
1
Adam Obert
7
0.83
1
Who takes them
Player
Shots
xG
Goals
Daniel Maldini
13
2.38
5
Paul Mendy
17
1.97
1
M'Bala Nzola
6
1.50
1
Kevin Carlos
2
0.91
0
Michel Adopo
8
0.52
0
Vision AI Model Insight
The biggest source of Cagliari's chances, by xG, is settled attack (4.8 of 9.9 xG, 53 of 97 shots), mostly pass into the box / short pass. 20 of the 97 shots (21%) came within 15 seconds of winning the ball. 24 of the 97 shots came from set pieces; 8 goals from 9.9 xG (-1.9).
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
11CB · 15%
5Long Wide · 7%
8Long Central · 11%
13Wide → FB · 18%
35Central · 49%
Sequence success — final-third
74final-third sequences this season
30%succeed — produce a shot
38%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
CB11 · 15%
Long Wide5 · 7%
Long Central8 · 11%
Wide → FB13 · 18%
Central35 · 49%
Who creates — volume × threat
13Adopo
10Obert
10Maldini
7Romano
6Fadera
5Mendy
4Deiola
72key passes #17 of 20
7.6box entries/game #20 of 20
24.2final-3rd entries/game #19 of 20
1.10xG/game #16 of 20
8goals #16 of 20
-1.9finishing vs xG #16 of 20
◆ Vision AI Insight
Cagliari lean left — 42% of their key passes come from that flank and its half-space (30 of 72), most often from Obert (10). They funnel chances into the c of the final third, most often via LW att → C att (12 key passes, most often from Obert). Adopo is the primary source overall. They generate 1.10 xG a game and finish it wasteful — they under-perform their xG, led by Daniel Maldini (5G), M'Bala Nzola (1G), Alessandro Romano (1G).
Crosses & Cutbacks — squad-wide
The question
How does Cagliari deliver into the box from wide areas, and what comes of it?
67 crosses: 23 found a team-mate (34%), 12 led to a shot (18%). 18 cut-backs: 9 found a team-mate (50%), 8 led to a shot (44%). 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?
67 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. 28% come from one territory, the byline right wing; 3 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
19
28%
4
advanced · right wing
14
21%
3
byline · left wing
12
18%
2
advanced · left wing
10
15%
2
deep · left wing
7
10%
1
deep · right wing
2
3%
0
deep · right half-space
1
1%
0
advanced · right half-space
1
1%
0
byline · right half-space
1
1%
0
Finishing3 sections
Shot Map
97 shots for 9.9 xG (1.10/game, #16 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 10.8 shots/game at 0.102 xG/shot. Box entries 8/game (#20). Threat created 9.7 xT/game (#15).
Goal Sequences
The move behind each of Cagliari’s 8 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 — 8 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
5 · 62%
Set pieces
1 · 12%
Penalties
2 · 25%
By finish
Right foot
1 · 12%
Left foot
6 · 75%
Header
1 · 12%
Vision AI Model Insight
8 goals scored. 62% come in open play; set pieces add 12%. Open play is clearly their main route to goal.
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
175
Failed forward pass
105
Failed take-on
77
Lost in the defensive third
270
Their weakest zone is the left half-space in the attacking third: 40% of 95 pass attempts there are lost (38 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.
7
Pressing Index /100 · passive
Intensity2
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness12
high recoveries & high-regain share
Disruption15
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
15%
RHS
21%
C
22%
LHS
23%
LW
18%
By third (high / mid / low regain)
Def 55%
Mid 36%
Att 9%
Read
Ranked #19 of 20 for press intensity, this is a high press. Note the tension: 55% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (15% 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
155
#3/20
High-press share
15%
#20/20
def actions won high up
Defensive-action height (0–100)
34.2
#20/20
avg pitch height of actions
High recoveries / game
18.9
#16/20
ball won in mid+att third
High-recovery share
48%
#19/20
share of recoveries won high
Opponent completion allowed
86%
#18/20
lower = more disruptive
Opponent progressive allowed
9.6%
#16/20
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 279 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 6.7 opponent passes in the first half-hour and after 6.5 after the hour mark (about the same).
PASSES THEY GET
6.9passes
median 5 · before Cagliari win it
TIME THEY KEEP IT
21sec
median 13s · 31.0 wins per game
How many passes the opponent got in before the ball was won
34%
20%
18%
28%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
7.3
22s
15–30′
5.7
16s
30–45+′
8.7
29s
45–60′
6.7
18s
60–75′
7.3
23s
75–90+′
6.1
21s
average passesaverage seconds
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) 1,595 passes
nothing unusual in this zone
Width of use-0.2020.59
Wide-channel share-0.330.28
Side bias+0.110.57
Pass length-0.3721.37
Long-ball share-0.290.20
Forward gain per pass-0.1110.96
Backward-pass share-0.040.20
Deep-pass share+0.070.29
Completion+0.390.83
Seconds between passes-0.173.22
Side used
left 28% · central 46% · right 26%
Progression (middle third) 1,864 passes
more recycling, circulating, shorter passing
Width of use-0.8823.70
Wide-channel share-0.760.35
Side bias+0.291.21
Pass length-0.9715.87
Long-ball share-0.920.06
Forward gain per pass-1.121.91
Backward-pass share+1.180.39
Deep-pass share-0.690.13
Completion+0.270.86
Seconds between passes-0.443.00
Side used
left 34% · central 36% · right 30%
Final third 580 passes
slower
Width of use-0.5930.16
Wide-channel share-0.510.54
Side bias+0.180.78
Pass length-0.4014.85
Long-ball share-0.490.08
Forward gain per pass-0.490.39
Backward-pass share+0.740.44
Deep-pass share-0.310.08
Completion-0.070.69
Seconds between passes+0.954.11
Side used
left 42% · central 20% · right 38%
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%
#13 of 20 · spells of 6+ passes
Tempo (possession length)16.4s
#5 of 20 · shorter = faster tempo
Passes per possession4.3
#13 of 20
Counter-attack shots /game1.02
#10 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
16attacking transition sequences this season
19%succeed — produce a shot
44%turned over with nothing to show
Sequence success — defensive transition
33defensive transition sequences this season
64%succeed — reach the next third or a shot
6%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 (#13 of 20). Winning the ball back leads to a shot inside 12 seconds 1.02 times a game (#10), 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? 535 opponent progressive passes and 168 shots faced (14.8 xG against) across the season.
Opponent threat by lane (attacking into Cagliari)
Right wing
35%
Right half-space
13%
Central
9%
Left half-space
16%
Left wing
27%
Where the danger came from. Opponents generated most of their threat through the right wing (35% 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 (119 total)
By situation
Open play
11 · 85%
Set pieces
1 · 8%
Penalties
1 · 8%
Vision AI Model Insight
13 goals conceded. 85% come in open play; set pieces account for only 8%, so dead-ball defending is not the main issue. 31% are headers — a real weakness in the air. Their supply line runs mainly through the left 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
5 g · 7.2 xG
Set pieces
1 g · 1.1 xG
Penalties
2 g
12% of goals come from set pieces (1 of 8), worth 1.1 xG from 22 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Cagliari's corners go?
38 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 (17)
Delivered into the box 100%Short 0%
Left side (21)
Delivered into the box 100%Short 0%
Where opponents attack Cagliari from set pieces
28 shots from opponent corners against Cagliari, 1 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 (14)
Shot 14Goals 0
Left flag (14)
Shot 14Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
field tilt % — 32.52 (0th pct)
box entries /game — 7.56 (0th pct)
press intensity (PPDA) — 8.11 (5th pct)
shots /game — 10.78 (15th pct)
xG created /game — 1.10 (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.
Atalanta
72%
Torino
68%
Sassuolo
66%
Parma Calcio 1913
59%
Bologna
57%
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 (3m)
1.33
1.67
1.33
vs mid-block opponents (3m)
0.33
1.67
1.00
vs low-block opponents (3m)
1.00
1.00
2.00
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
80%
15%
40
7.9
4.7
vs mid-block opponents
81%
12%
52
11.0
10.3
vs low-block opponents
85%
9%
39
10.2
7.7
Vision AI Model Insight
Facing a high press, retention drops to 80% vs 85% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 15% when pressed vs 9% 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 1.10 xG a game and they concede 1.64 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.
Cagliari
across 9 matches this season
Defensive actionsvs Inter · 0-1 · 2026-08-30118avg 155
Field tiltat Parma Calcio 1913 · 1-0 · 2026-08-2258%avg 33%
On-Ball Value — who moved the game
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 9 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).
+11.7on-ball value, 9 matches
Where the value came from
Passes4039 actions+3.55
Carries777 actions+0.27
Dribbles132 actions+0.06
Shots97 actions+5.16
Ball wins518 actions+2.68
Most on-ball value (OBV)
Actions
OBV
per 100
Daniel Maldini
359
+2.61
+0.73
Michel Adopo
468
+1.27
+0.27
Elia Caprile
423
+0.97
+0.23
M'Bala Nzola
77
+0.95
+1.23
Juan Rodríguez
587
+0.87
+0.15
Zé Pedro
417
+0.79
+0.19
Paul Mendy
207
+0.76
+0.37
Harry Winks
500
+0.67
+0.13
Biggest single moves
OBV
1 Daniel Maldini · shot
+0.810
2 M'Bala Nzola · shot
+0.751
3 Daniel Maldini · shot
+0.302
4 Juan Rodríguez · pass
+0.257
5 Paul Mendy · pass
+0.246
6 Alessandro Deiola · pass
+0.226
Set Pieces by Player
Who delivers Cagliari’s dead balls and who finishes them this season. 38 corners taken, most by Alessandro Romano (12); 22 shots from corners and free kicks, 1 goals, led by Daniel Maldini (1 goals, 0.28 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
Daniel Maldini
9
7 (78%)
3
1
0.28
2
1/1
Alessandro Romano
12
11 (92%)
2
—
0.07
—
—
Zé Pedro
—
—
4
—
0.26
—
—
Jacopo Fazzini
7
6 (86%)
1
—
0.02
—
—
Harry Winks
1
0 (0%)
2
—
0.06
—
—
Adam Obert
7
7 (100%)
—
—
0.00
—
—
Yerry Mina
—
—
2
—
0.10
—
—
Michel Adopo
—
—
2
—
0.09
—
—
Yukinari Sugawara
1
1 (100%)
1
—
0.02
—
—
Gennaro Borrelli
—
—
1
—
0.04
—
—
Riccardo Ciervo
—
—
1
—
0.05
—
—
Raphael Kofler
—
—
1
—
0.05
—
—
Paul Mendy
—
—
1
—
0.06
—
—
M'Bala Nzola
—
—
—
—
0.00
—
1/1
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 243 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
Michel Adopo
M
843
1.39
7
7.6
Daniel Maldini
M
583
1.54
10
3.8
Adam Obert
D
827
1.09
10
9.7
Alessandro Romano
M
807
0.78
10
8.1
Alieu Fadera
M
287
1.88
6
2.1
Paul Mendy
F
641
0.70
4
1.8
Jacopo Fazzini
M
248
1.45
4
1.9
Alessandro Deiola
D
691
0.52
3
6.8
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)
Adam Obert
FB
827
6 (17%)
8 (38%)
Alieu Fadera
W
287
1 (0%)
7 (43%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Juan Rodríguez
D
731
156
17
15
22
Alessandro Romano
M
807
140
17
6
38
Adam Obert
D
827
128
20
13
36
Michel Adopo
M
843
109
10
6
40
Zé Pedro
D
715
105
12
7
18
Paul Mendy
F
641
102
8
0
17
Alessandro Deiola
D
691
100
14
4
21
Harry Winks
M
655
95
6
12
36
Full Squad Data
Every player with 100+ minutes (17 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Elia Caprile
G
9
847
0
0.0
0
45
18
10.4
Michel Adopo
M
9
843
0
0.5
13
37
109
7.6
Adam Obert
D
9
827
0
0.2
10
59
128
9.7
Alessandro Romano
M
9
807
1
0.5
7
29
140
8.1
Juan Rodríguez
D
9
731
0
0.1
0
28
156
8.0
Zé Pedro
D
9
715
0
0.3
3
51
105
8.9
Alessandro Deiola
D
9
691
0
0.1
4
25
100
6.8
Harry Winks
M
8
655
0
0.2
0
20
95
7.1
Paul Mendy
F
9
641
1
2.0
5
7
102
1.8
Daniel Maldini
M
9
583
5
2.4
10
10
79
3.8
Yerry Mina
D
4
373
0
0.2
0
14
88
3.3
Alieu Fadera
M
8
287
0
0.4
6
16
60
2.1
Yukinari Sugawara
D
6
253
0
0.0
3
18
32
3.1
Jacopo Fazzini
M
5
248
0
0.2
4
10
45
1.9
Yanis Massolin
M
3
148
0
0.0
1
4
20
0.7
Kevin Carlos
F
5
143
0
0.9
0
0
30
0.0
M'Bala Nzola
F
3
140
1
1.5
1
2
15
0.7
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
minutes847
goals · xG0 · 0.0
prog passes /904.8
key passes /900.00
def actions /901.9
pass accuracy74%
Michel Adopo
Ball-winner / destroyer · Midfielder
minutes843
goals · xG0 · 0.5
prog passes /904.0
key passes /901.39
def actions /9011.6
pass accuracy83%
Adam Obert
Ball-playing defender · Defender
minutes827
goals · xG0 · 0.2
prog passes /906.4
key passes /901.09
def actions /9013.9
pass accuracy78%
Alessandro Romano
Ball-winner / destroyer · Midfielder
minutes807
goals · xG1 · 0.5
prog passes /903.2
key passes /900.78
def actions /9015.6
pass accuracy83%
Juan Rodríguez
Stopper / marker · Defender
minutes731
goals · xG0 · 0.1
prog passes /903.4
key passes /900.00
def actions /9019.2
pass accuracy91%
Zé Pedro
Ball-playing defender · Defender
minutes715
goals · xG0 · 0.3
prog passes /906.4
key passes /900.38
def actions /9013.2
pass accuracy80%
Alessandro Deiola
Stopper / marker · Defender
minutes691
goals · xG0 · 0.1
prog passes /903.3
key passes /900.52
def actions /9013.0
pass accuracy89%
Harry Winks
Ball-winner / destroyer · Midfielder
minutes655
goals · xG0 · 0.2
prog passes /902.7
key passes /900.00
def actions /9013.1
pass accuracy89%
Paul Mendy
Ball-winner / destroyer · Midfielder
minutes641
goals · xG1 · 2.0
prog passes /901.0
key passes /900.70
def actions /9014.3
pass accuracy72%
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: field tilt % (0th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (32.52, 0th percentile vs the league).
Need — bottom-third: box entries /game (0th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (7.56, 0th percentile vs the league).
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 (8.11, 5th percentile vs the league).