Combining every season — this one is larger, give it a moment.
Team reportPremier League 2025/26
Man Utd
A balanced-territory side, aggressive high-press out of possession, with a high-volume attack. Finished #3 of 23 on 78 points (21-15-10, 79:63). Tactical profile below is built from 46 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Man Utd and how good was the season?
Read. Man Utd finished #3 of 23 on 78 points (21W-15D-10L, 1.70 pts/game), scoring 79 and conceding 63 for a goal difference of +16.
On the ball they are a balanced-territory team (52% field tilt, #6 in the league); off it they defend with a aggressive high-press (#11 of 23 for press intensity).
Across the 46 matches of event data, they create 1.63 xG/game (#3) and concede 1.23 (#4), a net of +0.40 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Man Utd actually finish, and against whom?
The authoritative final table (full season), centred on Man Utd.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Arsenal
46
33
7
6
84
32
+52
106
2
Man City
46
30
9
7
97
44
+53
99
3
Man Utd
46
21
15
10
79
63
+16
78
4
Aston Villa
46
22
10
14
65
61
+4
76
5
Liverpool
46
21
12
13
74
61
+13
75
6
Brighton
46
19
12
15
75
53
+22
69
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Man Utd 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
Man Utd tend to come alive after the break — first-half net xG +6.66, second-half +11.57. Their strongest period is 46-60' (net +5.26 xG); their most dangerous period to face is 31-45' (net +1.50 xG against them).
xG Race — the season, match by match
Expected goals piling up over 46 matches: Man Utd 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 (+18.2 xG). Hover a point for that match.
Man UtdOpponents against Man Utd
Tactical DNA
The football question
In five genes, what is Man Utd'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
91
Progression
moving the ball upfield with threat
87
Creation
manufacturing chances
63
Press
winning the ball high & hard
83
Solidity
resisting the opponent's threat
Genetic identity
Man Utd are defined most by their Progression DNA (91/100 · elite at moving the ball upfield with threat), and least by their Press DNA (63/100). Percentiles vs the 23 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
70%
Field tilt
74%
Disrupt
Central progression ~proxy
48%
Dribble tendency
9%
Progressive passes
96%
Finish
Final-third patience
9%
Shot quality
30%
Open-play xG
91%
Press
Forward press ~proxy
52%
High regains
35%
Pressing efficiency ~proxy
65%
Defend
Def-mid press ~proxy
61%
High line ~proxy
30%
PAdj defensive actions
65%
Man Utd is defined most by Possess (62% in the league) and weakest on Finish (43%). 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 Man Utd actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Man Utd'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; Man Utd highlighted. Hover any dot for the team.
Vision AI Model Insight
Man Utd post 52% field tilt, ranking #6 of 23 in the league — comfortably above the league mid-point for territorial control, and their 1.70 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 Man Utd has the ball, how much of that time is spent building, progressing and creating?
The share of Man Utd'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
23.1%
Progression
50.3%
Chance creation
24.0%
Attacking transition
2.6%
Vision AI Model Insight
Progression is where Man Utd spends most of its time on the ball (50% 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
Casemiro ↔ Fernandes
378p · 19.6xT
Shaw ↔ Fernandes
351p · 18.5xT
Fernandes ↔ Diallo
342p · 22.5xT
Fernandes ↔ Cunha
276p · 15.3xT
Fernandes ↔ Mainoo
274p · 10.2xT
Casemiro ↔ Dalot
263p · 11.2xT
Fernandes ↔ Dalot
248p · 14.1xT
Shaw ↔ Dorgu
247p · 14.3xT
Shaw ↔ Cunha
238p · 13.5xT
Fernandes ↔ Mbeumo
234p · 19.8xT
Vision AI Model Insight
Busiest connection: Casemiro ↔ Bruno Fernandes (378 passes). Most dangerous per pass: Bruno Fernandes ↔ Bryan Mbeumo (0.08 xT/pass over 234 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Man Utd had the ball
Every touch across 460 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does Man Utd 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
23669
ACTIONS
Carries
the ball moved with a player
6276
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (12.0% 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: 26% defensive, 50% middle, 23% 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. Man Utd leaned on their left (38%). The bars under the pitch put the league’s share beside theirs.
Man Utd
38%25%37%
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. Man Utd made 2195 this season (47.7 a match); 27% 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
537
11.7
24%
29%
Left half-space
404
8.8
18%
16%
Centre
299
6.5
14%
12%
Right half-space
365
7.9
17%
14%
Right wing
590
12.8
27%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Man Utd 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.
6120build-up passes attempted
78%completed
29%reach the middle third
2%go long into the final third
Pass types
2144CB · 45%
318Long Wide · 7%
56Long Central · 1%
1721Wide → FB · 36%
549Central · 11%
Sequence success — build-up
1302build-up sequences this season
10%succeed — reach the next third or a shot
43%turned over with nothing to show
CB2144 · 45%
Long Wide318 · 7%
Long Central56 · 1%
Wide → FB1721 · 36%
Central549 · 11%
◆ Vision AI Insight
Man Utd build predominantly down the left, with Lammens as the fulcrum (783 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 (314×).
Pass Explorer
Every pass of Man Utd’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. 2229 progressive passes across 46 matches (48.5/game).
Origin lane
Right wing
29%
Right half-space
14%
Central
15%
Left half-space
14%
Left wing
28%
Progression is right-dominant: 43% right side · 15% central · 42% left.
Who generates it
Bruno Fernandes
342 · 15%
Diogo Dalot
240 · 11%
Luke Shaw
229 · 10%
Senne Lammens
186 · 8%
Bryan Mbeumo
134 · 6%
Top two — Bruno Fernandes & Diogo Dalot — account for 26% of all progression.
PROGRESSION
48.5 prog passes/game
mostly right
→
PENETRATION
27% reach final third
21% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 26% 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 Man Utd 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.
11742progression passes attempted
87%completed
16%break into the final third
10%go backward into the defensive third
Pass types
3601CB · 35%
322Long Wide · 3%
54Long Central · 1%
4662Wide → FB · 46%
1519Central · 15%
Sequence success — progression
2108progression sequences this season
27%succeed — reach the next third or a shot
42%turned over with nothing to show
CB3601 · 35%
Long Wide322 · 3%
Long Central54 · 1%
Wide → FB4662 · 46%
Central1519 · 15%
◆ Vision AI Insight
Man Utd progress predominantly down the left, with Fernandes the busiest midfield outlet (1155 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (74%) is recycled back into midfield or (10%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LW mid → LHS mid (556×) — 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
47%
Safe / backward
37%
16% of passes are progressive-or-better; the remaining 84% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Man Utd actually progress the ball with their feet, not a pass?
1400 progressive carries this season across the whole squad (25% of 5643 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 54m. Most active carrier: Maguire (134). Filter to one player below.
First (414)Second (412)Third (330)Fourth (244)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 Man Utd'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.
751shots
74.9xG
0.10xG per shot
33big chances (0.3+ xG)
75goals
#1key passes / game in the league
#5box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition25% of shots
184
20
17.43
0.09
Cross
22
2
2.60
0.12
Cut-back
10
0
1.17
0.12
Long ball
15
1
1.37
0.09
Pass into the box / short pass
93
13
8.45
0.09
Own creation (carry, dribble, rebound)
44
4
3.85
0.09
Settled attack56% of shots
419
37
41.70
0.10
Cross
64
13
7.61
0.12
Cut-back
28
2
3.24
0.12
Long ball
18
1
1.84
0.10
Pass into the box / short pass
215
11
15.80
0.07
Own creation (carry, dribble, rebound)
94
10
13.20
0.14
Set piece20% of shots
148
18
15.80
0.11
Corner
132
12
9.98
0.08
Free kick
9
1
0.27
0.03
Penalty
7
5
5.56
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
Bruno Fernandes
112
10.07
15
Amad Diallo
44
5.52
4
Bryan Mbeumo
45
4.33
3
Matheus Cunha
37
3.81
4
Diogo Dalot
39
3.44
4
Who takes them
Player
Shots
xG
Goals
Bryan Mbeumo
99
13.35
15
Bruno Fernandes
108
13.11
12
Benjamin Sesko
65
9.38
12
Matheus Cunha
107
8.37
11
Amad Diallo
58
5.12
2
Vision AI Model Insight
The biggest source of Man Utd's chances, by xG, is settled attack (41.7 of 74.9 xG, 419 of 751 shots), mostly pass into the box / short pass. 184 of the 751 shots (25%) came within 15 seconds of winning the ball. 148 of the 751 shots came from set pieces; 75 goals from 74.9 xG (+0.1).
Chance Creation — the pass map
The football question
How does Man Utd 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
74CB · 14%
35Long Wide · 6%
51Long Central · 9%
162Wide → FB · 30%
218Central · 40%
Sequence success — final-third
1371final-third sequences this season
28%succeed — produce a shot
35%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
CB74 · 14%
Long Wide35 · 6%
Long Central51 · 9%
Wide → FB162 · 30%
Central218 · 40%
Who creates — volume × threat
149Fernandes
58Mbeumo
43Dalot
42Diallo
39Cunha
33Casemiro
28Dorgu
540key passes #1 of 23
14.6box entries/game #5 of 23
37.6final-3rd entries/game #4 of 23
1.63xG/game #3 of 23
75goals #3 of 23
+0.1finishing vs xG #8 of 23
◆ Vision AI Insight
Man Utd lean right — 43% of their key passes come from that flank and its half-space (232 of 540), most often from Fernandes (58). They funnel chances into the c of the final third, most often via RHS att → C att (72 key passes, most often from Fernandes). Fernandes is the primary source overall. They generate 1.63 xG a game and finish it clinical — they beat their xG, led by Bryan Mbeumo (15G), Bruno Fernandes (12G), Benjamin Sesko (12G).
Crosses & Cutbacks — squad-wide
The question
How does Man Utd deliver into the box from wide areas, and what comes of it?
622 crosses: 220 found a team-mate (35%), 93 led to a shot (15%). 166 cut-backs: 70 found a team-mate (42%), 40 led to a shot (24%). 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 Man Utd actually cross from?
622 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. 24% come from one territory, the byline left wing; 40 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · left wing
150
24%
18
byline · right wing
141
23%
24
advanced · right wing
117
19%
26
advanced · left wing
104
17%
12
deep · right wing
35
6%
2
deep · left wing
35
6%
4
advanced · right half-space
15
2%
2
byline · right half-space
9
1%
3
advanced · left half-space
8
1%
0
byline · left half-space
7
1%
2
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
751 shots for 74.9 xG (1.63/game, #3 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
High-volume attack. 16.3 shots/game at 0.100 xG/shot. Box entries 15/game (#5). Threat created 11.7 xT/game (#3).
Goal Sequences
The move behind each of Man Utd’s 79 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 — 79 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Man Utd scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
57 · 76%
Set pieces
13 · 17%
Penalties
5 · 7%
By finish
Right foot
38 · 51%
Left foot
21 · 28%
Header
15 · 20%
Other
1 · 1%
Vision AI Model Insight
75 goals scored. 76% come in open play; set pieces add 17%. 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
1454
Failed forward pass
991
Failed take-on
432
Lost in the defensive third
1332
Their weakest zone is the right half-space in the attacking third: 28% of 1089 pass attempts there are lost (306 times). Separately, 33% 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 Man Utd 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.
45
Pressing Index /100 · average
Intensity29
PPDA, high-press share, high-zone actions
Height30
how high up the pitch they defend
Effectiveness76
high recoveries & high-regain share
Disruption35
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
17%
RHS
21%
C
21%
LHS
22%
LW
18%
By third (high / mid / low regain)
Def 50%
Mid 38%
Att 13%
Read
Ranked #11 of 23 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, 55% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#11/23
lower = more intense; rank is what matters
Defensive actions / game
145
#10/23
High-press share
19%
#19/23
def actions won high up
Defensive-action height (0–100)
36.6
#16/23
avg pitch height of actions
High recoveries / game
23.8
#3/23
ball won in mid+att third
High-recovery share
55%
#8/23
share of recoveries won high
Opponent completion allowed
79%
#9/23
lower = more disruptive
Opponent progressive allowed
9.2%
#21/23
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 Man Utd win it back with a defensive action?
Counted over the 1538 opposition possessions that Man Utd 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 Man Utd step in. Man Utd win it after 5.3 opponent passes in the first half-hour and after 3.9 after the hour mark (sooner).
PASSES THEY GET
4.6passes
median 3 · before Man Utd win it
TIME THEY KEEP IT
13sec
median 6s · 33.4 wins per game
How many passes the opponent got in before the ball was won
48%
27%
14%
12%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.3
15s
15–30′
5.3
15s
30–45+′
4.9
14s
45–60′
4.4
13s
60–75′
3.5
11s
75–90+′
4.1
13s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Man Utd 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.
7,168phase segments analysed
7.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#10of 20 for share of defending spent pressing high
High press 7.5%Mid block 11.3%Low block 52.8%Unopposed 28.4%
What opponents do against Man Utd
The mirror image, and the part no other section can show: whether teams come
out to press Man Utd 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 7.7%Mid block 14.2%Low block 49.5%Unopposed 28.6%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,240
4.4s
2.8
0.4%
50.7%
Progression
2,997
7.1s
4.2
0.5%
46.1%
Chance creation
1,785
5.7s
3.5
29.9%
48.0%
Attacking transition
146
7.4s
4.4
4.8%
38.4%
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
908
0.2%
progression
742
0.1%
build_up → progression
404
0.0%
chance_creation
377
42.2%
progression → chance_creation
370
34.6%
build_up → progression → chance_creation
213
36.6%
Attitude in each third
Every other style number here says how much Man Utd 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 Man Utd 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) 6,120 passes
nothing unusual in this zone
Width of use-0.0120.99
Wide-channel share-0.040.30
Side bias+0.281.20
Pass length-0.2521.82
Long-ball share-0.080.22
Forward gain per pass+0.0411.64
Backward-pass share-0.210.19
Deep-pass share-0.030.28
Completion-0.180.78
Seconds between passes+0.043.35
Side used
left 29% · central 44% · right 27%
Progression (middle third) 11,742 passes
nothing unusual in this zone
Width of use-0.3424.86
Wide-channel share-0.390.38
Side bias+0.311.28
Pass length-0.5816.41
Long-ball share-0.380.09
Forward gain per pass-0.253.23
Backward-pass share+0.040.34
Deep-pass share-0.370.14
Completion+0.270.86
Seconds between passes-0.303.07
Side used
left 36% · central 31% · right 33%
Final third 5,807 passes
nothing unusual in this zone
Width of use-0.7429.77
Wide-channel share-0.800.52
Side bias-0.01-0.55
Pass length-0.3714.89
Long-ball share-0.340.08
Forward gain per pass-0.490.39
Backward-pass share+0.540.42
Deep-pass share-0.210.08
Completion+0.550.74
Seconds between passes-0.413.09
Side used
left 40% · central 18% · right 42%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Man Utd'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 Man Utd 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 share16%
#20 of 23 · reaches final third in ≤3 passes
Patient build-up share28%
#8 of 23 · spells of 6+ passes
Tempo (possession length)17.6s
#14 of 23 · shorter = faster tempo
Passes per possession4.7
#8 of 23
Counter-attack shots /game1.15
#7 of 23 · shot within 12s of a regain in own half
Press→shot /game3.11
#7 of 23 · shot within 8s of a high regain
Speed to final third after regain11.6s
#4 of 23 · lower = faster break
Sequence success — attacking transition
131attacking transition sequences this season
15%succeed — produce a shot
43%turned over with nothing to show
Sequence success — defensive transition
386defensive transition sequences this season
65%succeed — reach the next third or a shot
8%turned over with nothing to show
Vision AI Model Insight
Man Utd are a patient build-up side: 16% of possessions reach the final third in 3 passes or fewer (#20 of 23), against 28% built patiently over 6+ passes (#8 of 23). Winning the ball back leads to a shot inside 12 seconds 1.15 times a game (#7), and a high regain converts to a shot within 8 seconds 3.11 times a game (#7 of 23) — a modest but real source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Man Utd? 1982 opponent progressive passes and 528 shots faced (56.7 xG against) across the season.
Opponent threat by lane (attacking into Man Utd)
Right wing
29%
Right half-space
14%
Central
20%
Left half-space
12%
Left wing
25%
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 Man Utd actually come from — open play, dead balls, and who supplies them?
Every goal Man Utd conceded across the loaded matches — the opponent's shots in Man Utd'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 (368 total)
By situation
Open play
41 · 68%
Set pieces
15 · 25%
Penalties
4 · 7%
Vision AI Model Insight
60 goals conceded. 68% come in open play, and 25% from set pieces — a genuine defensive frailty at dead balls to fix on the training ground. 18% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (19% 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
57 g · 59.1 xG
Set pieces
13 g · 10.2 xG
Penalties
5 g
17% of goals come from set pieces (13 of 75), worth 10.2 xG from 141 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Man Utd's corners go?
229 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 (113)
Delivered into the box 97%Short 3%
Left side (116)
Delivered into the box 96%Short 4%
Where opponents attack Man Utd from set pieces
92 shots from opponent corners against Man Utd, 13 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 (53)
Shot 53Goals 7
Left flag (39)
Shot 39Goals 6
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
progression /game — 48.46 (96th pct)
shots /game — 16.33 (96th pct)
xG created /game — 1.63 (87th pct)
threat created /game — 11.65 (87th pct)
xG conceded /game — 1.23 (83th pct)
Weaknesses (bottom-third vs league)
none stand out
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.
Liverpool
84%
Man City
76%
Newcastle
76%
Bournemouth
69%
Arsenal
68%
Performance vs Opponent Styles
The question
Not just how Man Utd 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 Man Utd's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (15m)
1.73
1.33
1.73
vs mid-block opponents (15m)
1.87
1.40
1.60
vs low-block opponents (16m)
1.56
1.38
1.75
Behaviour — how Man Utd actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
79%
14%
42
10.0
11.7
vs mid-block opponents
80%
12%
50
12.1
15.0
vs low-block opponents
84%
11%
53
12.8
17.0
Vision AI Model Insight
Facing a high press, retention drops to 79% vs 84% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 14% when pressed vs 11% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Man Utd are balanced-territory with a aggressive high-press.
Their attack creates 1.63 xG a game and they concede 1.23 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 Man Utd’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.
Man Utd
across 46 matches this season
PPDAat Chelsea · 1-0 · 2026-04-1818.5avg 5.8
Pass accuracyat Liverpool · 2-1 · 2025-10-1967%avg 81%
Threat from passingvs Newcastle · 1-0 · 2025-12-261.99avg 6.03
Passesat Hull City · 0-2 · 2026-08-22743avg 515
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 Man Utd’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).
+20.4on-ball value, 12 matches
Where the value came from
Passes6425 actions+7.74
Carries1580 actions-0.12
Dribbles202 actions+0.14
Shots224 actions+9.59
Ball wins803 actions+3.05
Most on-ball value (OBV)
Actions
OBV
per 100
Bruno Fernandes
909
+2.63
+0.29
Bryan Mbeumo
481
+2.44
+0.51
Lisandro Martínez
806
+1.64
+0.20
Kobbie Mainoo
909
+1.64
+0.18
Harry Maguire
981
+1.39
+0.14
Youri Tielemans
582
+1.36
+0.23
Marcus Rashford
250
+1.04
+0.42
Matheus Cunha
503
+1.01
+0.20
Biggest single moves
OBV
1 Bruno Fernandes · shot
+0.642
2 Benjamin Sesko · shot
+0.497
3 Bryan Mbeumo · shot
+0.492
4 Amad Diallo · pass
+0.470
5 Youri Tielemans · pass
+0.376
6 Marcus Rashford · shot
+0.296
Set Pieces by Player
Who delivers Man Utd’s dead balls and who finishes them this season. 229 corners taken, most by Bruno Fernandes (117); 141 shots from corners and free kicks, 13 goals, led by Casemiro (6 goals, 1.54 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
Bruno Fernandes
117
103 (88%)
12
1
0.40
6
5/7
Bryan Mbeumo
61
51 (84%)
10
1
0.38
—
—
Matheus Cunha
6
6 (100%)
16
1
1.43
—
—
Harry Maguire
—
—
17
1
1.32
—
—
Amad Diallo
18
16 (89%)
9
1
0.40
—
—
Casemiro
—
—
15
6
1.54
—
—
Mason Mount
15
14 (93%)
5
—
0.23
1
—
Diogo Dalot
—
—
10
—
0.35
—
—
Luke Shaw
11
11 (100%)
5
—
0.35
—
—
Leny Yoro
—
—
8
—
1.28
—
—
Matthijs de Ligt
—
—
6
1
0.47
—
—
Kobbie Mainoo
1
0 (0%)
5
—
0.38
—
—
Lisandro Martínez
—
—
5
—
0.18
—
—
Benjamin Sesko
—
—
3
—
0.14
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Bruno Fernandes
M
3935
3.41
178
90.0
Bryan Mbeumo
M
3481
1.50
80
27.1
Diogo Dalot
D
3383
1.14
55
44.6
Amad Diallo
M
2725
1.39
56
20.9
Matheus Cunha
M
3201
1.10
59
21.4
Casemiro
M
2702
1.10
30
36.2
Patrick Dorgu
M
1765
1.43
34
13.8
Luke Shaw
D
3804
0.45
39
47.6
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)
Patrick Dorgu
W
1765
20 (50%)
26 (27%)
Luke Shaw
FB
3804
23 (43%)
18 (28%)
Amad Diallo
W
2725
8 (38%)
31 (42%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Casemiro
M
2702
557
90
31
138
Luke Shaw
D
3804
547
83
57
114
Diogo Dalot
D
3383
537
67
36
171
Bruno Fernandes
M
3935
463
61
21
196
Harry Maguire
D
2549
433
29
27
98
Matheus Cunha
M
3201
402
48
23
148
Leny Yoro
D
2173
378
40
42
86
Bryan Mbeumo
M
3481
349
31
13
109
Full Squad Data
Every player with 100+ minutes (26 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Bruno Fernandes
M
42
3935
12
13.1
149
342
463
90.0
Senne Lammens
G
40
3851
0
0.0
1
186
97
36.7
Luke Shaw
D
43
3804
1
0.8
19
229
547
47.6
Bryan Mbeumo
M
41
3481
15
13.3
58
134
349
27.1
Diogo Dalot
D
42
3383
1
2.1
43
240
537
44.6
Matheus Cunha
M
41
3201
11
8.4
39
79
402
21.4
Amad Diallo
M
35
2725
2
5.1
42
124
301
20.9
Casemiro
M
34
2702
9
5.0
33
130
557
36.2
Harry Maguire
D
31
2549
1
1.5
6
77
433
26.0
Kobbie Mainoo
M
34
2305
1
1.0
27
78
338
22.9
Leny Yoro
D
36
2173
0
1.5
5
86
378
22.9
Lisandro Martínez
D
25
1933
0
0.4
7
116
277
34.2
Benjamin Sesko
F
34
1897
12
9.4
10
6
209
2.7
Patrick Dorgu
M
31
1765
4
3.0
28
78
334
13.8
Matthijs de Ligt
D
13
1252
1
1.2
2
28
236
10.6
Mason Mount
M
26
1223
3
1.7
17
53
167
13.6
Noussair Mazraoui
D
24
1222
0
0.4
9
77
228
16.6
Ayden Heaven
D
20
1164
0
0.5
2
31
191
9.6
Manuel Ugarte
M
22
1002
0
0.9
2
22
189
7.7
Joshua Zirkzee
F
28
849
2
3.4
11
13
110
3.5
Youri Tielemans
M
8
605
0
2.5
9
33
118
10.6
Altay Bayindir
G
6
581
0
0.0
1
25
17
6.6
Marcus Rashford
M
6
362
0
0.9
12
23
41
4.0
Andrey Santos
M
5
287
1
2.0
3
8
63
3.4
Carlos Baleba
M
3
185
0
1.0
2
3
36
1.5
Jack Fletcher
M
3
125
0
0.0
2
1
15
0.6
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.
Bruno Fernandes
Creative forward · Forward
minutes3935
goals · xG12 · 13.1
prog passes /907.8
key passes /903.41
def actions /9010.6
pass accuracy78%
Senne Lammens
Goalkeeper · Goalkeeper
minutes3851
goals · xG0 · 0.0
prog passes /904.3
key passes /900.02
def actions /902.3
pass accuracy64%
Luke Shaw
Ball-playing defender · Defender
minutes3804
goals · xG1 · 0.8
prog passes /905.4
key passes /900.45
def actions /9012.9
pass accuracy84%
Bryan Mbeumo
Poacher / finisher · Forward
minutes3481
goals · xG15 · 13.3
prog passes /903.5
key passes /901.50
def actions /909.0
pass accuracy75%
Diogo Dalot
Ball-playing defender · Defender
minutes3383
goals · xG1 · 2.1
prog passes /906.4
key passes /901.14
def actions /9014.3
pass accuracy80%
Matheus Cunha
Poacher / finisher · Forward
minutes3201
goals · xG11 · 8.4
prog passes /902.2
key passes /901.10
def actions /9011.3
pass accuracy78%
Amad Diallo
Ball-winner / destroyer · Midfielder
minutes2725
goals · xG2 · 5.1
prog passes /904.1
key passes /901.39
def actions /909.9
pass accuracy85%
Casemiro
Poacher / finisher · Forward
minutes2702
goals · xG9 · 5.0
prog passes /904.3
key passes /901.10
def actions /9018.6
pass accuracy81%
Harry Maguire
Stopper / marker · Defender
minutes2549
goals · xG1 · 1.5
prog passes /902.7
key passes /900.21
def actions /9015.3
pass accuracy87%
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) (52th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (5.77, 52th percentile vs the league).
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