Combining every season — this one is larger, give it a moment.
Team reportPremier League 2025/26
Arsenal
A possession-dominant side, aggressive high-press out of possession, with a high-volume attack. Finished #1 of 20 on 85 points (26-7-5, 71:27). 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 Arsenal and how good was the season?
Read. Arsenal finished #1 of 20 on 85 points (26W-7D-5L, 2.24 pts/game), scoring 71 and conceding 27 for a goal difference of +44.
On the ball they are a possession-dominant team (64% field tilt, #2 in the league); off it they defend with a aggressive high-press (#2 of 20 for press intensity).
Across the 38 matches of event data, they create 1.70 xG/game (#2) and concede 0.78 (#1), a net of +0.92 xG/game — the underlying performance diverges from the actual goal difference.
Season Context — the league table
The question
Where did Arsenal actually finish, and against whom?
The authoritative final table (full season), centred on Arsenal.
#
team
P
W
D
L
GF
GA
GD
Pts
1
Arsenal
38
26
7
5
71
27
+44
85
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
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Arsenal 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
Arsenal tend to fade after a strong start — first-half net xG +18.30, second-half +16.77. Their strongest period is 46-60' (net +8.65 xG); their most dangerous period to face is 76-90+' (net +3.56 xG against them).
xG Race — the season, match by match
Expected goals piling up over 38 matches: Arsenal 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 (+35.1 xG). Hover a point for that match.
ArsenalOpponents against Arsenal
Tactical DNA
The football question
In five genes, what is Arsenal'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.
82
Build-Up
possession control from the back
68
Progression
moving the ball upfield with threat
85
Creation
manufacturing chances
90
Press
winning the ball high & hard
95
Solidity
resisting the opponent's threat
Genetic identity
Arsenal are defined most by their Solidity DNA (95/100 · elite at resisting the opponent's threat), and least by their Progression DNA (68/100). 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
57%
Possession
87%
Field tilt
91%
Disrupt
Central progression ~proxy
65%
Dribble tendency
22%
Progressive passes
65%
Finish
Final-third patience
91%
Shot quality
87%
Open-play xG
78%
Press
Forward press ~proxy
91%
High regains
83%
Pressing efficiency ~proxy
96%
Defend
Def-mid press ~proxy
91%
High line ~proxy
96%
PAdj defensive actions
83%
Arsenal is defined most by Press (90% in the league) and weakest on Disrupt (51%). 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 Arsenal actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Arsenal'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; Arsenal highlighted. Hover any dot for the team.
Vision AI Model Insight
Arsenal post 64% field tilt, ranking #2 of 20 in the league — a genuinely territory-dominant side, and their 2.24 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 Arsenal has the ball, how much of that time is spent building, progressing and creating?
The share of Arsenal'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
23.6%
Progression
47.2%
Chance creation
27.6%
Attacking transition
1.7%
Vision AI Model Insight
Progression is where Arsenal 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
Magalhães ↔ Saliba
651p · 6.3xT
Saliba ↔ Zubimendi
547p · 13.9xT
Rice ↔ Saliba
499p · 12.5xT
Rice ↔ Zubimendi
460p · 11.6xT
Rice ↔ Magalhães
427p · 13.8xT
Saliba ↔ Timber
425p · 13.5xT
Raya ↔ Saliba
350p · 11.7xT
Magalhães ↔ Zubimendi
334p · 8.7xT
Zubimendi ↔ Timber
295p · 11.6xT
Raya ↔ Magalhães
294p · 9.1xT
Vision AI Model Insight
Busiest connection: Gabriel Magalhães ↔ William Saliba (651 passes). Most dangerous per pass: David Raya ↔ Declan Rice (0.09 xT/pass over 169 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Arsenal 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 Arsenal 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
19417
ACTIONS
Carries
the ball moved with a player
4905
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (12.6% 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: 25% defensive, 49% middle, 26% 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. Arsenal leaned on their right (43%). The bars under the pitch put the league’s share beside theirs.
Arsenal
33%24%43%
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. Arsenal made 1816 this season (47.8 a match); 36% 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
486
12.8
27%
29%
Left half-space
232
6.1
13%
16%
Centre
191
5.0
11%
12%
Right half-space
262
6.9
14%
14%
Right wing
645
17.0
36%
29%
Build-up2 sections
Build-Up — the pass map
The football question
How does Arsenal 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.
4831build-up passes attempted
81%completed
25%reach the middle third
2%go long into the final third
Pass types
1590CB · 40%
262Long Wide · 7%
38Long Central · 1%
1514Wide → FB · 39%
523Central · 13%
Sequence success — build-up
918build-up sequences this season
8%succeed — reach the next third or a shot
43%turned over with nothing to show
CB1590 · 40%
Long Wide262 · 7%
Long Central38 · 1%
Wide → FB1514 · 39%
Central523 · 13%
◆ Vision AI Insight
Arsenal build predominantly down the left, with Raya as the fulcrum (846 build-up passes). Only 28% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → RHS def (291×).
Pass Explorer
Every pass of Arsenal’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. 1611 progressive passes across 38 matches (42.4/game).
Origin lane
Right wing
35%
Right half-space
15%
Central
14%
Left half-space
10%
Left wing
26%
Progression is right-dominant: 50% right side · 14% central · 36% left.
Who generates it
Declan Rice
195 · 12%
David Raya
157 · 10%
Bukayo Saka
151 · 9%
Leandro Trossard
138 · 9%
Jurriën Timber
130 · 8%
Top two — Declan Rice & David Raya — account for 22% of all progression.
PROGRESSION
42.4 prog passes/game
mostly right
→
PENETRATION
26% reach final third
23% reach the box
→
THREAT
the other 74% is recycled
progress ≠ danger
What came of it.26% of progressive passes reached the final third and 23% the box; the rest was recycled in front of the block. 22% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingefficient
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Arsenal 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.
9333progression passes attempted
87%completed
17%break into the final third
11%go backward into the defensive third
Pass types
2479CB · 31%
255Long Wide · 3%
47Long Central · 1%
4062Wide → FB · 50%
1261Central · 16%
Sequence success — progression
1986progression sequences this season
27%succeed — reach the next third or a shot
42%turned over with nothing to show
CB2479 · 31%
Long Wide255 · 3%
Long Central47 · 1%
Wide → FB4062 · 50%
Central1261 · 16%
◆ Vision AI Insight
Arsenal progress predominantly down the right, with Rice the busiest midfield outlet (1175 progression passes). Only 17% of passes that start in midfield actually break the final-third line — the rest (73%) is recycled back into midfield or (11%) 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 (499×) — 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)
13%
Progressive
1%
Neutral / sideways
47%
Safe / backward
38%
14% of passes are progressive-or-better; the remaining 86% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Arsenal actually progress the ball with their feet, not a pass?
1181 progressive carries this season across the whole squad (24% of 4893 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 50m. Most active carrier: Rice (178). Filter to one player below.
First (369)Second (348)Third (259)Fourth (205)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 Arsenal'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.
553shots
64.6xG
0.12xG per shot
46big chances (0.3+ xG)
67goals
#4key passes / game in the league
#3box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition20% of shots
110
17
12.76
0.12
Cross
6
0
1.05
0.18
Cut-back
13
2
1.62
0.12
Long ball
6
1
0.83
0.14
Pass into the box / short pass
67
11
7.48
0.11
Own creation (carry, dribble, rebound)
18
3
1.78
0.10
Settled attack58% of shots
323
29
33.33
0.10
Cross
45
4
5.07
0.11
Cut-back
33
4
3.82
0.12
Long ball
7
1
0.50
0.07
Pass into the box / short pass
154
14
16.18
0.11
Own creation (carry, dribble, rebound)
84
6
7.77
0.09
Set piece22% of shots
120
21
18.55
0.15
Corner
108
17
15.21
0.14
Free kick
8
0
0.16
0.02
Penalty
4
4
3.18
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
Bukayo Saka
50
6.87
4
Martin Ødegaard
40
4.54
5
Leandro Trossard
35
3.96
6
Declan Rice
39
3.64
2
Viktor Gyökeres
18
2.18
1
Who takes them
Player
Shots
xG
Goals
Viktor Gyökeres
55
11.69
14
Bukayo Saka
71
7.08
7
Leandro Trossard
53
4.99
6
Jurriën Timber
25
4.53
3
Eberechi Eze
57
4.25
7
Vision AI Model Insight
The biggest source of Arsenal's chances, by xG, is settled attack (33.3 of 64.6 xG, 323 of 553 shots), mostly pass into the box / short pass. 110 of the 553 shots (20%) came within 15 seconds of winning the ball. 120 of the 553 shots came from set pieces; 67 goals from 64.6 xG (+2.4).
Chance Creation — the pass map
The football question
How does Arsenal 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 · 5%
23Long Wide · 6%
34Long Central · 9%
131Wide → FB · 34%
175Central · 46%
Sequence success — final-third
1546final-third sequences this season
22%succeed — produce a shot
39%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 · 5%
Long Wide23 · 6%
Long Central34 · 9%
Wide → FB131 · 34%
Central175 · 46%
Who creates — volume × threat
62Rice
59Saka
39Ødegaard
35Trossard
26Timber
22Madueke
18Gyökeres
382key passes #4 of 20
16.0box entries/game #3 of 20
37.9final-3rd entries/game #3 of 20
1.70xG/game #2 of 20
67goals #2 of 20
+2.4finishing vs xG #5 of 20
◆ Vision AI Insight
Arsenal lean right — 47% of their key passes come from that flank and its half-space (181 of 382), most often from Saka (52). They funnel chances into the c of the final third, most often via RHS att → C att (55 key passes, most often from Saka). Rice is the primary source overall. They generate 1.70 xG a game and finish it clinical — they beat their xG, led by Viktor Gyökeres (14G), Bukayo Saka (7G), Eberechi Eze (7G).
Crosses & Cutbacks — squad-wide
The question
How does Arsenal deliver into the box from wide areas, and what comes of it?
550 crosses: 183 found a team-mate (33%), 53 led to a shot (10%). 163 cut-backs: 86 found a team-mate (53%), 49 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 Arsenal actually cross from?
550 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. 27% come from one territory, the byline right wing; 33 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
147
27%
23
byline · left wing
112
20%
14
advanced · right wing
103
19%
7
advanced · left wing
97
18%
4
deep · right wing
41
7%
0
deep · left wing
17
3%
2
byline · right half-space
11
2%
1
advanced · right half-space
10
2%
0
byline · left half-space
8
1%
2
advanced · left half-space
3
1%
0
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
553 shots for 64.6 xG (1.70/game, #2 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
High-volume attack. 14.6 shots/game at 0.117 xG/shot. Box entries 16/game (#3). Threat created 11.1 xT/game (#5).
Goal Sequences
The move behind each of Arsenal’s 71 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 — 71 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Arsenal scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
46 · 69%
Set pieces
17 · 25%
Penalties
4 · 6%
By finish
Right foot
36 · 54%
Left foot
15 · 22%
Header
16 · 24%
Vision AI Model Insight
67 goals scored. 69% come in open play, but 25% from set pieces — a genuine dead-ball weapon that bypasses the open-play build-up.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
1332
Failed forward pass
855
Failed take-on
428
Lost in the defensive third
904
Their weakest zone is the right half-space in the attacking third: 29% of 1047 pass attempts there are lost (302 times). Separately, 38% 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 Arsenal 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.
86
Pressing Index /100 · elite
Intensity82
PPDA, high-press share, high-zone actions
Height95
how high up the pitch they defend
Effectiveness88
high recoveries & high-regain share
Disruption80
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
22%
RHS
21%
C
21%
LHS
19%
LW
17%
By third (high / mid / low regain)
Def 45%
Mid 39%
Att 16%
Read
Ranked #2 of 20 for press intensity, this is a high press. 55% of defensive actions happen in the middle & attacking thirds, at an average height of 40. Of recoveries, 63% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#2/20
lower = more intense; rank is what matters
Defensive actions / game
128
#16/20
High-press share
24%
#1/20
def actions won high up
Defensive-action height (0–100)
39.8
#1/20
avg pitch height of actions
High recoveries / game
23.9
#4/20
ball won in mid+att third
High-recovery share
63%
#1/20
share of recoveries won high
Opponent completion allowed
77%
#3/20
lower = more disruptive
Opponent progressive allowed
8.4%
#5/20
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 Arsenal win it back with a defensive action?
Counted over the 1105 opposition possessions that Arsenal 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 Arsenal step in. Arsenal win it after 4.3 opponent passes in the first half-hour and after 3.6 after the hour mark (sooner).
PASSES THEY GET
4.0passes
median 2 · before Arsenal 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
51%
27%
14%
9%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
4.5
13s
15–30′
4.0
12s
30–45+′
4.4
13s
45–60′
3.8
11s
60–75′
4.1
15s
75–90+′
3.4
11s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Arsenal 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.
7,071phase segments analysed
8.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#1of 20 for share of defending spent pressing high
High press 11.7%Mid block 16.7%Low block 43.0%Unopposed 28.5%
What opponents do against Arsenal
The mirror image, and the part no other section can show: whether teams come
out to press Arsenal 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 4.4%Mid block 9.8%Low block 59.0%Unopposed 26.8%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
1,958
5.7s
3.2
0.2%
46.7%
Progression
3,012
7.5s
4.1
0.7%
42.6%
Chance creation
1,994
6.6s
3.7
25.1%
51.2%
Attacking transition
107
7.4s
4.0
2.8%
43.0%
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
progression
759
0.3%
build_up
712
0.1%
chance_creation
443
38.1%
progression → chance_creation
408
26.0%
build_up → progression
291
0.3%
build_up → progression → chance_creation
183
24.0%
Attitude in each third
Every other style number here says how much Arsenal 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 Arsenal 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) 4,831 passes
nothing unusual in this zone
Width of use-0.7419.48
Wide-channel share-0.710.26
Side bias-0.24-0.73
Pass length-0.0222.64
Long-ball share-0.170.21
Forward gain per pass-0.1610.77
Backward-pass share+0.690.23
Deep-pass share-0.160.27
Completion+0.160.81
Seconds between passes+0.243.47
Side used
left 25% · central 48% · right 26%
Progression (middle third) 9,333 passes
slower, narrow, central
Width of use-0.8523.76
Wide-channel share-0.810.35
Side bias-0.50-1.91
Pass length-0.2416.90
Long-ball share-0.280.09
Forward gain per pass-0.063.51
Backward-pass share-0.090.33
Deep-pass share-0.180.15
Completion+0.300.86
Seconds between passes+0.873.58
Side used
left 30% · central 34% · right 36%
Final third 5,253 passes
nothing unusual in this zone
Width of use-0.3430.78
Wide-channel share-0.330.56
Side bias-0.50-3.98
Pass length-0.2915.02
Long-ball share-0.440.08
Forward gain per pass-0.080.93
Backward-pass share+0.170.40
Deep-pass share-0.230.08
Completion+0.480.74
Seconds between passes-0.213.24
Side used
left 36% · central 16% · right 48%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Arsenal'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 Arsenal 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 share19%
#2 of 20 · reaches final third in ≤3 passes
Patient build-up share30%
#6 of 20 · spells of 6+ passes
Tempo (possession length)22.3s
#19 of 20 · shorter = faster tempo
Passes per possession5.2
#4 of 20
Counter-attack shots /game1.02
#11 of 20 · shot within 12s of a regain in own half
Press→shot /game2.98
#7 of 20 · shot within 8s of a high regain
Speed to final third after regain14.6s
#20 of 20 · lower = faster break
Sequence success — attacking transition
109attacking transition sequences this season
12%succeed — produce a shot
46%turned over with nothing to show
Sequence success — defensive transition
405defensive transition sequences this season
65%succeed — reach the next third or a shot
10%turned over with nothing to show
Vision AI Model Insight
Arsenal are a direct, fast-break side: 19% of possessions reach the final third in 3 passes or fewer (#2 of 20), against 30% built patiently over 6+ passes (#6 of 20). Winning the ball back leads to a shot inside 12 seconds 1.02 times a game (#11), and a high regain converts to a shot within 8 seconds 2.98 times a game (#7 of 20) — 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 Arsenal? 1278 opponent progressive passes and 310 shots faced (29.6 xG against) across the season.
Opponent threat by lane (attacking into Arsenal)
Right wing
23%
Right half-space
13%
Central
25%
Left half-space
14%
Left wing
25%
Where the danger came from. Opponents generated most of their threat through the left wing (25% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Arsenal actually come from — open play, dead balls, and who supplies them?
Every goal Arsenal conceded across the loaded matches — the opponent's shots in Arsenal'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 (207 total)
By situation
Open play
22 · 85%
Set pieces
4 · 15%
Penalties
0 · 0%
Vision AI Model Insight
26 goals conceded. 85% come in open play; set pieces account for only 15%, so dead-ball defending is not the main issue. 19% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the centre 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
46 g · 46.1 xG
Set pieces
17 g · 15.4 xG
Penalties
4 g
25% of goals come from set pieces (17 of 67), worth 15.4 xG from 116 shots. A genuine set-piece weapon — defend the box seriously.
Where do Arsenal's corners go?
215 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 (118)
Delivered into the box 96%Short 4%
Left side (97)
Delivered into the box 96%Short 4%
Where opponents attack Arsenal from set pieces
42 shots from opponent corners against Arsenal, 3 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 (22)
Shot 22Goals 2
Left flag (20)
Shot 20Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG conceded /game — 0.78 (95th pct)
xG created /game — 1.70 (90th pct)
press intensity (PPDA) — 5.38 (90th pct)
field tilt % — 64.02 (90th pct)
box entries /game — 16.00 (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.
Liverpool
79%
Man City
78%
Brighton
70%
Chelsea
59%
Man Utd
52%
Performance vs Opponent Styles
The question
Not just how Arsenal 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 Arsenal'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
0.92
2.00
vs mid-block opponents (12m)
1.75
0.92
2.08
vs low-block opponents (14m)
1.93
0.36
2.57
Behaviour — how Arsenal actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
78%
14%
43
10.5
13.2
vs mid-block opponents
82%
12%
42
10.9
16.7
vs low-block opponents
84%
10%
42
11.7
17.8
Vision AI Model Insight
Facing a high press, retention drops to 78% vs 84% against a low block (6pt lower under pressure), and directness (long-ball share) sits at 14% when pressed vs 10% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Arsenal are possession-dominant with a aggressive high-press.
Their attack creates 1.70 xG a game and they concede 0.78 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 Arsenal’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.
Threat from passingvs Burnley · 1-0 · 2026-05-189.28avg 5.69
Field tiltat Brighton · 1-0 · 2026-03-0438%avg 64%
Progressive carriesvs Liverpool · 0-0 · 2026-01-0887avg 53
Expected goalsvs Aston Villa · 4-1 · 2025-12-303.36avg 1.70
Passesat Everton · 1-0 · 2025-12-20694avg 511
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 Arsenal’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).
+23.6on-ball value, 12 matches
Where the value came from
Passes5830 actions+9.97
Carries1320 actions-0.57
Dribbles223 actions+0.14
Shots172 actions+10.31
Ball wins654 actions+3.78
Most on-ball value (OBV)
Actions
OBV
per 100
Bukayo Saka
443
+3.02
+0.68
Eberechi Eze
441
+2.51
+0.57
Declan Rice
963
+1.85
+0.19
Kai Havertz
214
+1.77
+0.83
Leandro Trossard
332
+1.58
+0.48
Gabriel Magalhães
780
+1.56
+0.20
Gabriel Martinelli
245
+1.56
+0.64
Noni Madueke
282
+1.21
+0.43
Biggest single moves
OBV
1 Viktor Gyökeres · shot
+0.761
2 Leandro Trossard · pass
+0.619
3 Bukayo Saka · pass
+0.617
4 Gabriel Martinelli · pass
+0.581
5 Viktor Gyökeres · shot
+0.503
6 Kai Havertz · shot
+0.499
Set Pieces by Player
Who delivers Arsenal’s dead balls and who finishes them this season. 215 corners taken, most by Declan Rice (95); 116 shots from corners and free kicks, 17 goals, led by Jurriën Timber (3 goals, 3.08 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
Declan Rice
95
89 (94%)
7
—
0.17
5
—
Bukayo Saka
65
55 (85%)
8
—
0.27
2
1/1
Noni Madueke
37
34 (92%)
8
2
0.35
—
—
Gabriel Magalhães
—
—
15
2
2.67
—
—
Eberechi Eze
1
1 (100%)
12
1
0.44
1
—
Jurriën Timber
1
0 (0%)
12
3
3.08
—
—
Leandro Trossard
4
4 (100%)
11
1
1.07
—
—
Gabriel Martinelli
5
3 (60%)
8
—
0.67
—
—
Riccardo Calafiori
—
—
7
1
1.85
—
—
Viktor Gyökeres
—
—
3
1
1.01
—
3/3
Martín Zubimendi
—
—
5
2
0.46
—
—
William Saliba
—
—
4
1
0.73
—
—
Mikel Merino
—
—
4
2
0.82
—
—
Kai Havertz
—
—
4
1
1.47
—
—
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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