Combining every season — this one is larger, give it a moment.
Team reportSerie A 2026
Lazio
A possession-dominant side, aggressive high-press out of possession, with a moderate attack. Currently #1 of 20 on 25 points (8-1-0, 22:7). 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 Lazio and how good was the season?
Read. Lazio currently sit #1 of 20 on 25 points (8W-1D-0L, 2.78 pts/game), scoring 22 and conceding 7 for a goal difference of +15.
On the ball they are a possession-dominant team (56% field tilt, #5 in the league); off it they defend with a aggressive high-press (#10 of 20 for press intensity).
Across the 9 matches of event data, they create 1.46 xG/game (#8) and concede 1.22 (#6), a net of +0.24 xG/game — the underlying performance diverges from the actual goal difference.
Season Context — the league table
The question
Where did Lazio actually finish, and against whom?
The authoritative final table (full season), centred on Lazio.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Lazio
9
8
1
0
22
7
+15
25
2
Inter
8
7
1
0
23
10
+13
22
3
Roma
9
6
3
0
23
8
+15
21
4
Como
9
6
2
1
17
8
+9
20
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Lazio 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
Lazio tend to come alive after the break — first-half net xG +0.47, second-half +1.71. Their strongest period is 61-75' (net +1.73 xG); their most dangerous period to face is 16-30' (net -0.41 xG against them).
xG Race — the season, match by match
Expected goals piling up over 9 matches: Lazio 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 (+2.2 xG). Hover a point for that match.
LazioOpponents against Lazio
Tactical DNA
The football question
In five genes, what is Lazio'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.
70
Build-Up
possession control from the back
72
Progression
moving the ball upfield with threat
57
Creation
manufacturing chances
62
Press
winning the ball high & hard
70
Solidity
resisting the opponent's threat
Genetic identity
Lazio are defined most by their Progression DNA (72/100 · strong at moving the ball upfield with threat), and least by their Creation DNA (57/100). 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
65%
Possession
57%
Field tilt
61%
Disrupt
Central progression ~proxy
78%
Dribble tendency
13%
Progressive passes
48%
Finish
Final-third patience
78%
Shot quality
43%
Open-play xG
48%
Press
Forward press ~proxy
4%
High regains
26%
Pressing efficiency ~proxy
35%
Defend
Def-mid press ~proxy
39%
High line ~proxy
26%
PAdj defensive actions
0%
Lazio is defined most by Possess (61% in the league) and weakest on Press (22%). 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 Lazio actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Lazio'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; Lazio highlighted. Hover any dot for the team.
Vision AI Model Insight
Lazio post 56% field tilt, ranking #5 of 20 in the league — comfortably above the league mid-point for territorial control, and their 2.78 points/game sits above the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Lazio has the ball, how much of that time is spent building, progressing and creating?
The share of Lazio'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
20.3%
Progression
52.4%
Chance creation
24.6%
Attacking transition
2.7%
Vision AI Model Insight
Progression is where Lazio spends most of its time on the ball (52% 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
Zaccagni ↔ Tavares
156p · 5.0xT
Tavares ↔ Taylor
125p · 1.6xT
Tavares ↔ Provstgaard
121p · 0.3xT
Mandas ↔ Provstgaard
100p · -0.3xT
Sutalo ↔ Belahyane
96p · -0.3xT
Tavares ↔ Belahyane
89p · 0.3xT
Zaccagni ↔ Taylor
84p · 2.1xT
Taylor ↔ Belahyane
83p · 0.6xT
Belahyane ↔ Provstgaard
72p · 0.2xT
Sutalo ↔ Mussolini
69p · -0.5xT
Vision AI Model Insight
Busiest connection: Mattia Zaccagni ↔ Nuno Tavares (156 passes). Most dangerous per pass: Mattia Zaccagni ↔ Nuno Tavares (0.03 xT/pass over 156 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Lazio 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 Lazio 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
4739
ACTIONS
Carries
the ball moved with a player
1047
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left wing of the middle third (12.4% of all actions). 61% of actions run through the inside lanes (centre + both half-spaces) versus 39% down the two wings — an inside-dominant, half-space build. By third: 24% defensive, 52% middle, 24% 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. Lazio leaned on their left (50%). The bars under the pitch put the league’s share beside theirs.
Lazio
50%21%29%
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. Lazio made 420 this season (46.7 a match); 40% came into the left 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
168
18.7
40%
29%
Left half-space
63
7.0
15%
15%
Centre
50
5.6
12%
13%
Right half-space
50
5.6
12%
16%
Right wing
89
9.9
21%
28%
Build-up2 sections
Build-Up — the pass map
The football question
How does Lazio 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.
1110build-up passes attempted
82%completed
30%reach the middle third
2%go long into the final third
Pass types
323CB · 35%
75Long Wide · 8%
7Long Central · 1%
402Wide → FB · 44%
106Central · 12%
Sequence success — build-up
90build-up sequences this season
10%succeed — reach the next third or a shot
47%turned over with nothing to show
CB323 · 35%
Long Wide75 · 8%
Long Central7 · 1%
Wide → FB402 · 44%
Central106 · 12%
◆ Vision AI Insight
Lazio build predominantly down the left, with Mandas as the fulcrum (256 build-up passes). Only 32% 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 RHS def → C def (51×).
Pass Explorer
Every pass of Lazio’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. 428 progressive passes across 9 matches (47.6/game).
Origin lane
Right wing
18%
Right half-space
10%
Central
11%
Left half-space
17%
Left wing
45%
Progression is left-dominant: 27% right side · 11% central · 62% left.
Who generates it
Nuno Tavares
89 · 21%
Mattia Zaccagni
71 · 17%
Oliver Provstgaard
36 · 8%
Kenneth Taylor
34 · 8%
Christos Mandas
31 · 7%
Top two — Nuno Tavares & Mattia Zaccagni — account for 37% of all progression.
PROGRESSION
47.6 prog passes/game
mostly left
→
PENETRATION
25% reach final third
20% reach the box
→
THREAT
the other 75% is recycled
progress ≠ danger
What came of it.25% of progressive passes reached the final third and 20% the box; the rest was recycled in front of the block. 37% 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 wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingefficient
Progression — the pass map
The football question
Once Lazio 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.
2443progression passes attempted
90%completed
15%break into the final third
9%go backward into the defensive third
Pass types
658CB · 30%
75Long Wide · 3%
13Long Central · 1%
1172Wide → FB · 53%
282Central · 13%
Sequence success — progression
158progression sequences this season
27%succeed — reach the next third or a shot
35%turned over with nothing to show
CB658 · 30%
Long Wide75 · 3%
Long Central13 · 1%
Wide → FB1172 · 53%
Central282 · 13%
◆ Vision AI Insight
Lazio progress predominantly down the left, with Belahyane the busiest midfield outlet (266 progression passes). Only 15% of passes that start in midfield actually break the final-third line — the rest (76%) is recycled back into midfield or (9%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LHS mid → LW mid (142×) — 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
2%
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 Lazio actually progress the ball with their feet, not a pass?
245 progressive carries this season across the whole squad (24% of 1041 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 65m. Most active carrier: Tavares (41). Filter to one player below.
First (79)Second (78)Third (46)Fourth (42)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 Lazio'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.
127shots
13.2xG
0.10xG per shot
8big chances (0.3+ xG)
21goals
#10key passes / game in the league
#8box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition17% of shots
21
5
1.88
0.09
Cross
3
0
0.31
0.10
Cut-back
4
2
0.58
0.14
Long ball
1
1
0.06
0.06
Pass into the box / short pass
10
0
0.72
0.07
Own creation (carry, dribble, rebound)
3
2
0.21
0.07
Settled attack67% of shots
85
14
7.88
0.09
Cross
10
2
1.17
0.12
Cut-back
6
0
0.56
0.09
Long ball
1
0
0.04
0.04
Pass into the box / short pass
48
10
4.06
0.08
Own creation (carry, dribble, rebound)
20
2
2.06
0.10
Set piece17% of shots
21
2
3.41
0.16
Corner
12
1
0.90
0.08
Free kick
6
0
0.13
0.02
Penalty
3
1
2.38
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
Mattia Zaccagni
18
1.80
4
Nuno Tavares
10
1.02
3
Kenneth Taylor
8
0.67
1
Davide Frattesi
4
0.53
0
Matteo Cancellieri
6
0.52
0
Who takes them
Player
Shots
xG
Goals
Mattia Zaccagni
26
3.25
2
Davide Frattesi
14
2.56
3
Tijjani Noslin
12
1.92
4
Gustav Isaksen
16
1.13
3
Matteo Cancellieri
9
0.85
1
Vision AI Model Insight
The biggest source of Lazio's chances, by xG, is settled attack (7.9 of 13.2 xG, 85 of 127 shots), mostly pass into the box / short pass. 21 of the 127 shots (17%) came within 15 seconds of winning the ball. 21 of the 127 shots came from set pieces; 21 goals from 13.2 xG (+7.8).
Chance Creation — the pass map
The football question
How does Lazio 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
3CB · 3%
2Long Wide · 2%
6Long Central · 6%
39Wide → FB · 41%
45Central · 47%
Sequence success — final-third
98final-third sequences this season
31%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
CB3 · 3%
Long Wide2 · 2%
Long Central6 · 6%
Wide → FB39 · 41%
Central45 · 47%
Who creates — volume × threat
22Zaccagni
14Tavares
9Taylor
6Cancellieri
6Belahyane
5Mussolini
4Noslin
95key passes #10 of 20
14.2box entries/game #8 of 20
38.3final-3rd entries/game #6 of 20
1.46xG/game #8 of 20
21goals #3 of 20
+7.8finishing vs xG #1 of 20
◆ Vision AI Insight
Lazio lean left — 45% of their key passes come from that flank and its half-space (43 of 95), most often from Zaccagni (16). They funnel chances into the c of the final third, most often via LHS att → C att (19 key passes, most often from Zaccagni). Zaccagni is the primary source overall. They generate 1.46 xG a game and finish it clinical — they beat their xG, led by Tijjani Noslin (4G), Gustav Isaksen (3G), Davide Frattesi (3G).
Crosses & Cutbacks — squad-wide
The question
How does Lazio deliver into the box from wide areas, and what comes of it?
110 crosses: 44 found a team-mate (40%), 15 led to a shot (14%). 33 cut-backs: 17 found a team-mate (52%), 10 led to a shot (30%). 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 Lazio actually cross from?
110 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. 30% come from one territory, the advanced left wing; 7 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · left wing
33
30%
3
byline · left wing
30
27%
6
advanced · right wing
15
14%
3
byline · right wing
15
14%
1
deep · left wing
7
6%
0
byline · left half-space
4
4%
2
deep · right wing
3
3%
0
advanced · left half-space
2
2%
0
deep · left half-space
1
1%
0
Finishing3 sections
Shot Map
127 shots for 13.2 xG (1.46/game, #8 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 14.1 shots/game at 0.104 xG/shot. Box entries 14/game (#8). Threat created 11.9 xT/game (#5).
Goal Sequences
The move behind each of Lazio’s 22 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 — 22 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Lazio scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
19 · 90%
Set pieces
1 · 5%
Penalties
1 · 5%
By finish
Right foot
8 · 38%
Left foot
8 · 38%
Header
5 · 24%
Vision AI Model Insight
21 goals scored. 90% come in open play; set pieces add 5%. 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
284
Failed forward pass
194
Failed take-on
77
Lost in the defensive third
197
Their weakest zone is the left half-space in the attacking third: 29% of 253 pass attempts there are lost (73 times). Separately, 39% 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 Lazio 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.
66
Pressing Index /100 · strong
Intensity63
PPDA, high-press share, high-zone actions
Height75
how high up the pitch they defend
Effectiveness70
high recoveries & high-regain share
Disruption55
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
14%
RHS
20%
C
27%
LHS
20%
LW
19%
By third (high / mid / low regain)
Def 43%
Mid 44%
Att 14%
Read
Ranked #10 of 20 for press intensity, this is a high press. 57% of defensive actions happen in the middle & attacking thirds, at an average height of 40. Of recoveries, 58% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#10/20
lower = more intense; rank is what matters
Defensive actions / game
141
#16/20
High-press share
23%
#6/20
def actions won high up
Defensive-action height (0–100)
39.9
#5/20
avg pitch height of actions
High recoveries / game
23.2
#7/20
ball won in mid+att third
High-recovery share
58%
#5/20
share of recoveries won high
Opponent completion allowed
83%
#9/20
lower = more disruptive
Opponent progressive allowed
8.5%
#9/20
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 Lazio win it back with a defensive action?
Counted over the 284 opposition possessions that Lazio 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 Lazio step in. Lazio win it after 5.7 opponent passes in the first half-hour and after 4.7 after the hour mark (sooner).
PASSES THEY GET
5.4passes
median 4 · before Lazio win it
TIME THEY KEEP IT
16sec
median 8s · 31.6 wins per game
How many passes the opponent got in before the ball was won
38%
26%
20%
16%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.0
19s
15–30′
5.4
16s
30–45+′
4.7
13s
45–60′
8.2
24s
60–75′
4.4
12s
75–90+′
4.9
14s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Lazio 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 Lazio 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) 1,110 passes
nothing unusual in this zone
Width of use-0.3320.31
Wide-channel share-0.180.29
Side bias+0.220.99
Pass length-0.2821.68
Long-ball share-0.360.19
Forward gain per pass-0.2310.46
Backward-pass share-0.010.20
Deep-pass share-0.380.25
Completion+0.320.82
Seconds between passes-0.363.11
Side used
left 28% · central 48% · right 24%
Progression (middle third) 2,443 passes
left-sided
Width of use+0.0925.77
Wide-channel share+0.110.41
Side bias+1.194.75
Pass length-0.7116.24
Long-ball share-0.750.07
Forward gain per pass-0.562.76
Backward-pass share+0.020.34
Deep-pass share-0.670.13
Completion+0.760.89
Seconds between passes-0.443.00
Side used
left 43% · central 28% · right 29%
Final third 1,186 passes
left-sided, kept on the floor, shorter passing
Width of use-0.3930.66
Wide-channel share-0.400.55
Side bias+1.379.23
Pass length-0.8614.13
Long-ball share-0.980.05
Forward gain per pass-0.090.93
Backward-pass share-0.160.38
Deep-pass share+0.010.09
Completion+0.600.75
Seconds between passes-0.233.22
Side used
left 54% · central 16% · right 30%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Lazio'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 Lazio 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%
#20 of 20 · reaches final third in ≤3 passes
Patient build-up share36%
#5 of 20 · spells of 6+ passes
Tempo (possession length)21.4s
#16 of 20 · shorter = faster tempo
Passes per possession5.7
#5 of 20
Counter-attack shots /game0.91
#16 of 20 · shot within 12s of a regain in own half
Press→shot /game2.51
#17 of 20 · shot within 8s of a high regain
Speed to final third after regain14.8s
#20 of 20 · lower = faster break
Sequence success — attacking transition
20attacking transition sequences this season
5%succeed — produce a shot
55%turned over with nothing to show
Sequence success — defensive transition
26defensive transition sequences this season
54%succeed — reach the next third or a shot
12%turned over with nothing to show
Vision AI Model Insight
Lazio are a patient build-up side: 14% of possessions reach the final third in 3 passes or fewer (#20 of 20), against 36% built patiently over 6+ passes (#5 of 20). Winning the ball back leads to a shot inside 12 seconds 0.91 times a game (#16), and a high regain converts to a shot within 8 seconds 2.51 times a game (#17 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 Lazio? 375 opponent progressive passes and 107 shots faced (11.0 xG against) across the season.
Opponent threat by lane (attacking into Lazio)
Right wing
29%
Right half-space
17%
Central
19%
Left half-space
11%
Left wing
24%
Where the danger came from. Opponents generated most of their threat through the right wing (29% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Lazio actually come from — open play, dead balls, and who supplies them?
Every goal Lazio conceded across the loaded matches — the opponent's shots in Lazio'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 (78 total)
By situation
Open play
5 · 83%
Set pieces
1 · 17%
Penalties
0 · 0%
Vision AI Model Insight
6 goals conceded. 83% come in open play; set pieces account for only 17%, so dead-ball defending is not the main issue. 17% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the left wing of the attacking third (18% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
19 g · 9.8 xG
Set pieces
1 g · 1.0 xG
Penalties
1 g
5% of goals come from set pieces (1 of 21), worth 1.0 xG from 18 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Lazio's corners go?
45 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 (21)
Delivered into the box 100%Short 0%
Left side (24)
Delivered into the box 92%Short 8%
Where opponents attack Lazio from set pieces
25 shots from opponent corners against Lazio, 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 (13)
Shot 13Goals 0
Left flag (12)
Shot 12Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
field tilt % — 56.00 (75th pct)
threat created /game — 11.88 (75th pct)
xG conceded /game — 1.22 (70th pct)
progression /game — 47.56 (70th pct)
pass retention % — 84.72 (65th pct)
Weaknesses (bottom-third vs league)
none stand out
Style Archetype & Similar Teams
Team archetype: High-press possession side. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Juventus
86%
Como
86%
AC Milan
80%
Inter
73%
Roma
60%
Performance vs Opponent Styles
The question
Not just how Lazio 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 Lazio's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (3m)
1.67
0.00
3.00
vs mid-block opponents (3m)
2.00
1.33
2.33
vs low-block opponents (3m)
3.67
1.00
3.00
Behaviour — how Lazio actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
81%
12%
44
10.2
12.0
vs mid-block opponents
83%
10%
47
11.9
15.0
vs low-block opponents
87%
7%
52
13.5
15.7
Vision AI Model Insight
Facing a high press, retention drops to 81% vs 87% against a low block (6pt lower under pressure), and directness (long-ball share) sits at 12% when pressed vs 7% 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. Lazio are possession-dominant with a aggressive high-press.
Their attack creates 1.46 xG a game and they concede 1.22 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 Lazio’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.
Progressive carriesvs AC Milan · 2-2 · 2026-09-1223avg 46
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 Lazio’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).
+16.9on-ball value, 9 matches
Where the value came from
Passes4739 actions+6.97
Carries1041 actions+0.24
Dribbles137 actions+0.52
Shots127 actions+6.55
Ball wins501 actions+2.65
Most on-ball value (OBV)
Actions
OBV
per 100
Mattia Zaccagni
635
+3.47
+0.55
Nuno Tavares
730
+2.34
+0.32
Reda Belahyane
606
+1.58
+0.26
Davide Frattesi
314
+1.54
+0.49
Kenneth Taylor
563
+1.43
+0.25
Gustav Isaksen
292
+0.87
+0.30
Tijjani Noslin
185
+0.86
+0.46
Danilho Doekhi
216
+0.85
+0.39
Biggest single moves
OBV
1 Davide Frattesi · shot
+0.760
2 Mattia Zaccagni · shot
+0.738
3 Mattia Zaccagni · shot
+0.723
4 Nuno Tavares · pass
+0.525
5 Mattia Zaccagni · pass
+0.483
6 Mattia Zaccagni · pass
+0.445
Set Pieces by Player
Who delivers Lazio’s dead balls and who finishes them this season. 45 corners taken, most by Mattia Zaccagni (21); 18 shots from corners and free kicks, 1 goals, led by Oliver Provstgaard (1 goals, 0.14 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
Mattia Zaccagni
21
14 (67%)
4
—
0.09
4
1/2
Nuno Tavares
15
13 (87%)
2
—
0.06
1
—
Danilho Doekhi
—
—
3
—
0.48
—
—
Gustav Isaksen
1
1 (100%)
2
—
0.05
—
—
Oliver Provstgaard
—
—
2
1
0.14
—
—
Alfonso Pedraza
5
4 (80%)
—
—
0.00
—
—
Matteo Cancellieri
2
1 (50%)
1
—
0.03
—
—
Tijjani Noslin
1
0 (0%)
1
—
0.08
—
—
Romano Floriani Mussolini
—
—
1
—
0.04
—
—
Nicolò Rovella
—
—
1
—
0.02
1
—
Diogo Leite
—
—
1
—
0.03
—
—
Davide Frattesi
—
—
—
—
0.00
—
0/1
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
Mattia Zaccagni
F
809
2.45
32
13.3
Nuno Tavares
D
680
1.85
20
17.9
Kenneth Taylor
M
713
1.14
20
9.7
Davide Frattesi
M
746
0.48
10
3.5
Gustav Isaksen
F
490
0.55
10
4.3
Matteo Cancellieri
F
329
1.64
7
2.5
Reda Belahyane
M
718
0.75
5
8.5
Romano Floriani Mussolini
D
758
0.59
5
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)
Nuno Tavares
FB
680
19 (21%)
8 (25%)
Mattia Zaccagni
W
809
16 (69%)
9 (33%)
Romano Floriani Mussolini
FB
758
6 (67%)
6 (17%)
Matteo Cancellieri
W
329
6 (33%)
1 (100%)
Gustav Isaksen
W
490
0
6 (50%)
Alfonso Pedraza
FB
205
1 (100%)
1 (100%)
Andrea Pinamonti
W
190
0
1 (100%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Nuno Tavares
D
680
119
16
3
38
Romano Floriani Mussolini
D
758
114
20
8
25
Josip Sutalo
D
493
110
4
15
25
Reda Belahyane
M
718
99
16
4
49
Oliver Provstgaard
D
671
98
7
10
21
Kenneth Taylor
M
713
97
13
7
36
Mattia Zaccagni
F
809
96
9
9
27
Davide Frattesi
M
746
96
16
5
26
Full Squad Data
Every player with 100+ minutes (20 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Christos Mandas
G
9
850
0
0.0
0
31
27
10.7
Mattia Zaccagni
F
9
809
2
3.3
22
71
96
13.3
Romano Floriani Mussolini
D
9
758
1
0.4
5
26
114
6.8
Davide Frattesi
M
9
746
3
2.6
4
13
96
3.5
Reda Belahyane
M
8
718
0
0.1
6
26
99
8.5
Kenneth Taylor
M
9
713
2
0.6
9
34
97
9.7
Nuno Tavares
D
9
680
1
0.6
14
89
119
17.9
Oliver Provstgaard
D
8
671
1
0.3
1
36
98
9.5
Tijjani Noslin
F
8
503
4
1.9
4
6
53
1.3
Josip Sutalo
D
6
493
0
0.0
0
8
110
4.4
Gustav Isaksen
F
9
490
3
1.1
3
24
69
4.3
Danilho Doekhi
D
4
339
0
0.5
2
5
58
1.8
Matteo Cancellieri
F
6
329
1
0.9
6
10
43
2.5
Alfonso Pedraza
D
8
205
0
0.1
3
13
23
3.0
Diogo Leite
D
4
197
0
0.0
0
16
52
4.5
Andrea Pinamonti
F
7
190
1
0.5
3
3
25
0.3
Fisayo Dele-Bashiru
M
5
188
1
0.2
3
4
19
1.3
Boulaye Dia
F
2
157
0
0.0
4
4
11
0.9
Nicolò Rovella
M
2
132
0
0.0
2
6
26
1.6
Manuel Lazzari
D
6
111
0
0.0
2
3
16
0.9
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.
Christos Mandas
Goalkeeper · Goalkeeper
minutes850
goals · xG0 · 0.0
prog passes /903.3
key passes /900.00
def actions /902.9
pass accuracy76%
Mattia Zaccagni
Creative forward · Forward
minutes809
goals · xG2 · 3.3
prog passes /907.9
key passes /902.45
def actions /9010.7
pass accuracy78%
Romano Floriani Mussolini
Stopper / marker · Defender
minutes758
goals · xG1 · 0.4
prog passes /903.1
key passes /900.59
def actions /9013.5
pass accuracy83%
Davide Frattesi
Ball-winner / destroyer · Midfielder
minutes746
goals · xG3 · 2.6
prog passes /901.6
key passes /900.48
def actions /9011.6
pass accuracy81%
Reda Belahyane
Ball-winner / destroyer · Midfielder
minutes718
goals · xG0 · 0.1
prog passes /903.3
key passes /900.75
def actions /9012.4
pass accuracy93%
Kenneth Taylor
Ball-winner / destroyer · Midfielder
minutes713
goals · xG2 · 0.6
prog passes /904.3
key passes /901.14
def actions /9012.2
pass accuracy86%
Nuno Tavares
Ball-playing defender · Defender
minutes680
goals · xG1 · 0.6
prog passes /9011.8
key passes /901.85
def actions /9015.8
pass accuracy80%
Oliver Provstgaard
Ball-playing defender · Defender
minutes671
goals · xG1 · 0.3
prog passes /904.8
key passes /900.13
def actions /9013.1
pass accuracy91%
Tijjani Noslin
Ball-winner / destroyer · Midfielder
minutes503
goals · xG4 · 1.9
prog passes /901.1
key passes /900.72
def actions /909.5
pass accuracy78%
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 — below-average: press intensity (PPDA) (50th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (5.65, 50th percentile vs the league).
Need — below-average: shots /game (50th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (14.11, 50th percentile vs the league).