Combining every season — this one is larger, give it a moment.
Team reportPremier League 2025/26
Liverpool
A possession-dominant side, aggressive high-press out of possession, with a high-volume attack. Finished #5 of 20 on 60 points (17-9-12, 63:53). 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 Liverpool and how good was the season?
Read. Liverpool finished #5 of 20 on 60 points (17W-9D-12L, 1.58 pts/game), scoring 63 and conceding 53 for a goal difference of +10.
On the ball they are a possession-dominant team (60% field tilt, #3 in the league); off it they defend with a aggressive high-press (#7 of 20 for press intensity).
Across the 38 matches of event data, they create 1.55 xG/game (#5) and concede 1.18 (#3), a net of +0.37 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Liverpool actually finish, and against whom?
The authoritative final table (full season), centred on Liverpool.
#
team
P
W
D
L
GF
GA
GD
Pts
2
Man City
38
23
9
6
77
35
+42
78
3
Man Utd
38
20
11
7
69
50
+19
71
4
Aston Villa
38
19
8
11
56
49
+7
65
5
Liverpool
38
17
9
12
63
53
+10
60
6
Bournemouth
38
13
18
7
58
54
+4
57
7
Sunderland
38
14
12
12
42
48
-6
54
8
Brighton
38
14
11
13
52
46
+6
53
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Liverpool 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
Liverpool tend to come alive after the break — first-half net xG +5.05, second-half +8.96. Their strongest period is 46-60' (net +5.67 xG); their most dangerous period to face is 0-15' (net -1.87 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 matches: Liverpool 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 (+14.0 xG). Hover a point for that match.
LiverpoolOpponents against Liverpool
Tactical DNA
The football question
In five genes, what is Liverpool'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.
85
Build-Up
possession control from the back
90
Progression
moving the ball upfield with threat
85
Creation
manufacturing chances
75
Press
winning the ball high & hard
85
Solidity
resisting the opponent's threat
Genetic identity
Liverpool are defined most by their Progression DNA (90/100 · elite at moving the ball upfield with threat), and least by their Press DNA (75/100). 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
83%
Possession
91%
Field tilt
87%
Disrupt
Central progression ~proxy
87%
Dribble tendency
26%
Progressive passes
87%
Finish
Final-third patience
83%
Shot quality
39%
Open-play xG
87%
Press
Forward press ~proxy
61%
High regains
70%
Pressing efficiency ~proxy
87%
Defend
Def-mid press ~proxy
78%
High line ~proxy
48%
PAdj defensive actions
74%
Liverpool is defined most by Possess (87% in the league) and weakest on Disrupt (67%). 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 Liverpool actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Liverpool'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; Liverpool highlighted. Hover any dot for the team.
Vision AI Model Insight
Liverpool post 60% field tilt, ranking #3 of 20 in the league — a genuinely territory-dominant side, and their 1.58 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 Liverpool has the ball, how much of that time is spent building, progressing and creating?
The share of Liverpool'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
23.0%
Progression
46.8%
Chance creation
27.9%
Attacking transition
2.2%
Vision AI Model Insight
Progression is where Liverpool spends most of its time on the ball (47% 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
Dijk ↔ Konaté
795p · 14.7xT
Dijk ↔ Kerkez
557p · 24.6xT
Konaté ↔ Szoboszlai
512p · 19.8xT
Dijk ↔ Gravenberch
472p · 18.7xT
Dijk ↔ Szoboszlai
427p · 16.7xT
Gravenberch ↔ Szoboszlai
427p · 13.3xT
Dijk ↔ Becker
392p · 15.5xT
Dijk ↔ Allister
392p · 16.9xT
Jones ↔ Szoboszlai
391p · 12.8xT
Konaté ↔ Gravenberch
379p · 9.9xT
Vision AI Model Insight
Busiest connection: Virgil van Dijk ↔ Ibrahima Konaté (795 passes). Most dangerous per pass: Cody Gakpo ↔ Milos Kerkez (0.08 xT/pass over 211 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Liverpool 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 Liverpool 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
21874
ACTIONS
Carries
the ball moved with a player
5257
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (11.6% of all actions). 64% of actions run through the inside lanes (centre + both half-spaces) versus 36% down the two wings — an inside-dominant, half-space build. By third: 24% defensive, 49% middle, 27% 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. Liverpool leaned on their left (38%). The bars under the pitch put the league’s share beside theirs.
Liverpool
38%24%38%
League
39%23%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. Liverpool made 2108 this season (55.5 a match); 30% 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
639
16.8
30%
29%
Left half-space
310
8.2
15%
16%
Centre
251
6.6
12%
12%
Right half-space
279
7.3
13%
14%
Right wing
629
16.6
30%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Liverpool 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.
5347build-up passes attempted
81%completed
28%reach the middle third
1%go long into the final third
Pass types
1598CB · 37%
288Long Wide · 7%
43Long Central · 1%
1789Wide → FB · 41%
608Central · 14%
Sequence success — build-up
1165build-up sequences this season
11%succeed — reach the next third or a shot
42%turned over with nothing to show
CB1598 · 37%
Long Wide288 · 7%
Long Central43 · 1%
Wide → FB1789 · 41%
Central608 · 14%
◆ Vision AI Insight
Liverpool build predominantly down the right, with Dijk as the fulcrum (872 build-up passes). Only 29% 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 (335×).
Pass Explorer
Every pass of Liverpool’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. 1701 progressive passes across 38 matches (44.8/game).
Origin lane
Right wing
33%
Right half-space
16%
Central
14%
Left half-space
14%
Left wing
23%
Progression is right-dominant: 49% right side · 14% central · 37% left.
Who generates it
Dominik Szoboszlai
221 · 13%
Curtis Jones
162 · 10%
Mohamed Salah
158 · 9%
Florian Wirtz
142 · 8%
Virgil van Dijk
141 · 8%
Top two — Dominik Szoboszlai & Curtis Jones — account for 23% of all progression.
PROGRESSION
44.8 prog passes/game
mostly right
→
PENETRATION
28% reach final third
22% reach the box
→
THREAT
the other 72% is recycled
progress ≠ danger
What came of it.28% of progressive passes reached the final third and 22% the box; the rest was recycled in front of the block. 23% 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 wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Liverpool 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.
10469progression passes attempted
89%completed
18%break into the final third
9%go backward into the defensive third
Pass types
2712CB · 29%
322Long Wide · 3%
51Long Central · 1%
4814Wide → FB · 52%
1399Central · 15%
Sequence success — progression
1920progression sequences this season
29%succeed — reach the next third or a shot
39%turned over with nothing to show
CB2712 · 29%
Long Wide322 · 3%
Long Central51 · 1%
Wide → FB4814 · 52%
Central1399 · 15%
◆ Vision AI Insight
Liverpool progress predominantly down the left, with Dijk the busiest midfield outlet (1498 progression passes). Only 18% of passes that start in midfield actually break the final-third line — the rest (73%) 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 RHS mid → C mid (513×) — 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 Liverpool actually progress the ball with their feet, not a pass?
1193 progressive carries this season across the whole squad (23% of 5230 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 61m. Most active carrier: Konaté (161). Filter to one player below.
First (418)Second (370)Third (224)Fourth (181)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 Liverpool'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.
589shots
58.9xG
0.10xG per shot
33big chances (0.3+ xG)
61goals
#1key passes / game in the league
#1box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition23% of shots
137
23
16.87
0.12
Cross
9
3
1.75
0.19
Cut-back
10
4
1.50
0.15
Long ball
9
1
1.55
0.17
Pass into the box / short pass
78
11
8.91
0.11
Own creation (carry, dribble, rebound)
31
4
3.16
0.10
Settled attack59% of shots
348
24
30.86
0.09
Cross
25
1
2.38
0.10
Cut-back
37
6
4.25
0.11
Long ball
20
2
1.38
0.07
Pass into the box / short pass
196
7
15.83
0.08
Own creation (carry, dribble, rebound)
70
8
7.03
0.10
Set piece18% of shots
104
14
11.22
0.11
Corner
84
9
9.15
0.11
Free kick
18
4
0.48
0.03
Penalty
2
1
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
Florian Wirtz
57
5.78
4
Dominik Szoboszlai
45
4.81
4
Cody Gakpo
49
4.71
5
Mohamed Salah
39
3.89
4
Alexis Mac Allister
32
3.06
3
Who takes them
Player
Shots
xG
Goals
Hugo Ekitiké
65
9.18
11
Cody Gakpo
87
8.57
7
Mohamed Salah
68
7.40
7
Florian Wirtz
51
6.21
5
Alexis Mac Allister
52
4.34
2
Vision AI Model Insight
The biggest source of Liverpool's chances, by xG, is settled attack (30.9 of 58.9 xG, 348 of 589 shots), mostly pass into the box / short pass. 137 of the 589 shots (23%) came within 15 seconds of winning the ball. 104 of the 589 shots came from set pieces; 61 goals from 58.9 xG (+2.1).
Chance Creation — the pass map
The football question
How does Liverpool 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
19CB · 4%
23Long Wide · 5%
43Long Central · 10%
165Wide → FB · 38%
186Central · 43%
Sequence success — final-third
1585final-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
CB19 · 4%
Long Wide23 · 5%
Long Central43 · 10%
Wide → FB165 · 38%
Central186 · 43%
Who creates — volume × threat
74Szoboszlai
60Wirtz
51Gakpo
47Salah
34Allister
28Gravenberch
25Kerkez
436key passes #1 of 20
17.7box entries/game #1 of 20
45.2final-3rd entries/game #2 of 20
1.55xG/game #5 of 20
61goals #4 of 20
+2.1finishing vs xG #7 of 20
◆ Vision AI Insight
Liverpool lean left — 42% of their key passes come from that flank and its half-space (181 of 436), most often from Gakpo (34). They funnel chances into the c of the final third, most often via LHS att → C att (62 key passes, most often from Gakpo). Szoboszlai is the primary source overall. They generate 1.55 xG a game and finish it clinical — they beat their xG, led by Hugo Ekitiké (11G), Cody Gakpo (7G), Mohamed Salah (7G).
Crosses & Cutbacks — squad-wide
The question
How does Liverpool deliver into the box from wide areas, and what comes of it?
516 crosses: 182 found a team-mate (35%), 39 led to a shot (8%). 172 cut-backs: 82 found a team-mate (48%), 47 led to a shot (27%). 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 Liverpool actually cross from?
516 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 byline right wing; 39 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
128
25%
9
advanced · right wing
110
21%
12
byline · left wing
95
18%
4
advanced · left wing
91
18%
10
deep · right wing
30
6%
0
deep · left wing
23
4%
0
byline · right half-space
13
3%
2
byline · left half-space
9
2%
1
deep · right half-space
6
1%
0
advanced · left half-space
6
1%
0
advanced · right half-space
5
1%
1
Finishing3 sections
Shot Map
589 shots for 58.9 xG (1.55/game, #5 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
High-volume attack. 15.5 shots/game at 0.100 xG/shot. Box entries 18/game (#1). Threat created 12.6 xT/game (#1).
Goal Sequences
The move behind each of Liverpool’s 63 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 — 63 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Liverpool scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
47 · 77%
Set pieces
13 · 21%
Penalties
1 · 2%
By finish
Right foot
39 · 64%
Left foot
14 · 23%
Header
7 · 11%
Other
1 · 2%
Vision AI Model Insight
61 goals scored. 77% come in open play; set pieces add 21%. 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
1380
Failed forward pass
942
Failed take-on
426
Lost in the defensive third
1021
Their weakest zone is the right half-space in the attacking third: 29% of 1121 pass attempts there are lost (323 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 Liverpool 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.
56
Pressing Index /100 · average
Intensity37
PPDA, high-press share, high-zone actions
Height50
how high up the pitch they defend
Effectiveness72
high recoveries & high-regain share
Disruption68
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
23%
RHS
23%
C
21%
LHS
18%
LW
15%
By third (high / mid / low regain)
Def 50%
Mid 36%
Att 14%
Read
Ranked #7 of 20 for press intensity, this is a high press. 50% of defensive actions happen in the middle & attacking thirds, at an average height of 37. Of recoveries, 59% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#7/20
lower = more intense; rank is what matters
Defensive actions / game
125
#18/20
High-press share
20%
#13/20
def actions won high up
Defensive-action height (0–100)
37.0
#10/20
avg pitch height of actions
High recoveries / game
22.6
#7/20
ball won in mid+att third
High-recovery share
59%
#3/20
share of recoveries won high
Opponent completion allowed
77%
#1/20
lower = more disruptive
Opponent progressive allowed
8.7%
#12/20
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 Liverpool win it back with a defensive action?
Counted over the 1105 opposition possessions that Liverpool 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 Liverpool step in. Liverpool win it after 5.2 opponent passes in the first half-hour and after 3.6 after the hour mark (sooner).
PASSES THEY GET
4.2passes
median 3 · before Liverpool win it
TIME THEY KEEP IT
12sec
median 5s · 29.1 wins per game
How many passes the opponent got in before the ball was won
49%
28%
12%
10%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.5
16s
15–30′
4.9
15s
30–45+′
4.4
13s
45–60′
3.5
9s
60–75′
3.7
10s
75–90+′
3.6
11s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Liverpool 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.
7,607phase segments analysed
9.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#7of 20 for share of defending spent pressing high
High press 8.5%Mid block 12.6%Low block 49.9%Unopposed 29.1%
What opponents do against Liverpool
The mirror image, and the part no other section can show: whether teams come
out to press Liverpool 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 6.0%Mid block 9.7%Low block 56.9%Unopposed 27.4%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,195
5.4s
3.1
0.0%
45.8%
Progression
3,134
7.6s
4.4
0.6%
39.2%
Chance creation
2,129
6.7s
3.9
25.7%
48.9%
Attacking transition
149
7.7s
4.4
2.7%
29.5%
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
803
0.0%
progression
649
0.0%
chance_creation
408
38.2%
progression → chance_creation
379
26.1%
build_up → progression
336
0.3%
build_up → progression → chance_creation
244
33.6%
Attitude in each third
Every other style number here says how much Liverpool 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 Liverpool 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) 5,347 passes
right-sided
Width of use-0.1820.63
Wide-channel share-0.210.29
Side bias-0.86-3.07
Pass length-0.3521.43
Long-ball share-0.290.20
Forward gain per pass-0.2810.23
Backward-pass share-0.050.20
Deep-pass share-0.220.27
Completion+0.170.81
Seconds between passes+0.163.42
Side used
left 23% · central 46% · right 31%
Progression (middle third) 10,469 passes
nothing unusual in this zone
Width of use-0.7623.95
Wide-channel share-0.800.35
Side bias-0.15-0.52
Pass length-0.3316.76
Long-ball share-0.510.08
Forward gain per pass-0.113.45
Backward-pass share-0.180.33
Deep-pass share-0.330.15
Completion+0.640.88
Seconds between passes-0.093.16
Side used
left 33% · central 32% · right 35%
Final third 6,058 passes
nothing unusual in this zone
Width of use-0.7729.71
Wide-channel share-0.820.52
Side bias-0.22-2.03
Pass length-0.5714.58
Long-ball share-0.570.07
Forward gain per pass-0.430.47
Backward-pass share+0.420.41
Deep-pass share-0.350.08
Completion+0.790.76
Seconds between passes-0.213.24
Side used
left 39% · central 18% · right 44%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Liverpool'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 Liverpool 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 share15%
#19 of 20 · reaches final third in ≤3 passes
Patient build-up share32%
#4 of 20 · spells of 6+ passes
Tempo (possession length)20.0s
#16 of 20 · shorter = faster tempo
Passes per possession5.2
#3 of 20
Counter-attack shots /game1.24
#3 of 20 · shot within 12s of a regain in own half
Press→shot /game3.39
#2 of 20 · shot within 8s of a high regain
Speed to final third after regain12.4s
#11 of 20 · lower = faster break
Sequence success — attacking transition
120attacking transition sequences this season
12%succeed — produce a shot
46%turned over with nothing to show
Sequence success — defensive transition
367defensive transition sequences this season
68%succeed — reach the next third or a shot
8%turned over with nothing to show
Vision AI Model Insight
Liverpool are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#19 of 20), against 32% built patiently over 6+ passes (#4 of 20). Winning the ball back leads to a shot inside 12 seconds 1.24 times a game (#3), and a high regain converts to a shot within 8 seconds 3.39 times a game (#2 of 20) — a genuine transition weapon.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Liverpool? 1314 opponent progressive passes and 435 shots faced (44.9 xG against) across the season.
Opponent threat by lane (attacking into Liverpool)
Right wing
23%
Right half-space
13%
Central
20%
Left half-space
13%
Left wing
31%
Where the danger came from. Opponents generated most of their threat through the left wing (31% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Liverpool actually come from — open play, dead balls, and who supplies them?
Every goal Liverpool conceded across the loaded matches — the opponent's shots in Liverpool'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 (284 total)
By situation
Open play
38 · 72%
Set pieces
12 · 23%
Penalties
3 · 6%
Vision AI Model Insight
53 goals conceded. 72% come in open play; set pieces account for only 23%, so dead-ball defending is not the main issue. 11% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the left wing of the attacking third (21% 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
47 g · 47.7 xG
Set pieces
13 g · 9.6 xG
Penalties
1 g
21% of goals come from set pieces (13 of 61), worth 9.6 xG from 102 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Liverpool's corners go?
232 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 (137)
Delivered into the box 99%Short 1%
Left side (95)
Delivered into the box 95%Short 5%
Where opponents attack Liverpool from set pieces
79 shots from opponent corners against Liverpool, 11 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 (33)
Shot 33Goals 4
Left flag (46)
Shot 46Goals 7
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
box entries /game — 17.71 (95th pct)
threat created /game — 12.61 (95th pct)
xG conceded /game — 1.18 (85th pct)
field tilt % — 60.00 (85th pct)
progression /game — 44.76 (85th 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.
Man City
93%
Arsenal
79%
Newcastle
68%
Chelsea
67%
Man Utd
66%
Performance vs Opponent Styles
The question
Not just how Liverpool 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 Liverpool's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (12m)
1.92
1.25
1.92
vs mid-block opponents (12m)
1.92
1.17
2.00
vs low-block opponents (14m)
1.21
1.71
0.93
Behaviour — how Liverpool actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
82%
12%
44
12.5
18.8
vs mid-block opponents
83%
12%
44
11.7
16.4
vs low-block opponents
85%
9%
46
13.5
17.9
Vision AI Model Insight
Facing a high press, retention drops to 82% vs 85% against a low block (3pt lower under pressure), and directness (long-ball share) sits at 12% when pressed vs 9% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Liverpool are possession-dominant with a aggressive high-press.
Their attack creates 1.55 xG a game and they concede 1.18 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 Liverpool’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 Liverpool’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).
+18.1on-ball value, 12 matches
Where the value came from
Passes6502 actions+9.24
Carries1521 actions-2.13
Dribbles234 actions-0.83
Shots179 actions+7.89
Ball wins662 actions+3.91
Most on-ball value (OBV)
Actions
OBV
per 100
Dominik Szoboszlai
1101
+4.12
+0.37
Rio Ngumoha
320
+2.83
+0.88
Mohamed Salah
490
+2.43
+0.50
Cody Gakpo
375
+1.51
+0.40
Florian Wirtz
447
+1.13
+0.25
Ibrahima Konaté
914
+1.07
+0.12
Hugo Ekitiké
129
+0.99
+0.76
Virgil van Dijk
1024
+0.71
+0.07
Biggest single moves
OBV
1 Hugo Ekitiké · pass
+0.602
2 Rio Ngumoha · pass
+0.485
3 Virgil van Dijk · shot
+0.426
4 Virgil van Dijk · shot
+0.391
5 Andy Robertson · carry
+0.373
6 Rio Ngumoha · pass
+0.365
Set Pieces by Player
Who delivers Liverpool’s dead balls and who finishes them this season. 232 corners taken, most by Dominik Szoboszlai (104); 102 shots from corners and free kicks, 13 goals, led by Virgil van Dijk (5 goals, 2.91 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
Dominik Szoboszlai
104
92 (88%)
18
4
0.47
14
0/1
Mohamed Salah
58
54 (93%)
9
—
0.34
3
1/1
Cody Gakpo
33
32 (97%)
8
—
1.13
—
—
Virgil van Dijk
—
—
19
5
2.91
—
—
Florian Wirtz
20
14 (70%)
8
—
0.36
1
—
Alexis Mac Allister
11
9 (82%)
7
1
0.51
—
—
Ibrahima Konaté
—
—
10
1
1.24
—
—
Hugo Ekitiké
—
—
7
2
0.95
—
—
Curtis Jones
2
0 (0%)
3
—
0.88
—
—
Ryan Gravenberch
—
—
3
—
0.13
—
—
Conor Bradley
1
0 (0%)
2
—
0.08
—
—
Alexander Isak
—
—
2
—
0.16
—
—
Federico Chiesa
—
—
2
—
0.15
—
—
Andy Robertson
3
3 (100%)
—
—
0.00
—
—
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.
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