Combining every season — this one is larger, give it a moment.
Team reportPremier League 2026
Arsenal
A possession-dominant side, aggressive high-press out of possession, with a high-volume attack. Currently #2 of 20 on 21 points (7-0-1, 13:5). Tactical profile below is built from 8 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 currently sit #2 of 20 on 21 points (7W-0D-1L, 2.62 pts/game), scoring 13 and conceding 5 for a goal difference of +8.
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 (#5 of 20 for press intensity).
Across the 8 matches of event data, they create 1.56 xG/game (#6) and concede 0.82 (#1), a net of +0.74 xG/game — the underlying performance matches 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
Man City
8
7
0
1
20
9
+11
21
2
Arsenal
8
7
0
1
13
5
+8
21
3
Brighton
8
5
1
2
23
7
+16
16
4
Liverpool
8
4
3
1
11
8
+3
15
5
Chelsea
8
4
1
3
17
15
+2
13
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 +3.72, second-half +2.21. Their strongest period is 0-15' (net +1.75 xG); their most dangerous period to face is 46-60' (net +0.18 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 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 (+5.9 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.
88
Build-Up
possession control from the back
75
Progression
moving the ball upfield with threat
68
Creation
manufacturing chances
82
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 Creation 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 2.62 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
23.2%
Progression
47.7%
Chance creation
28.1%
Attacking transition
1.0%
Vision AI Model Insight
Progression is where Arsenal spends most of its time on the ball (48% 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
Ødegaard ↔ Rice
114p · 1.2xT
Rice ↔ Lewis-Skelly
97p · 0.1xT
Ødegaard ↔ White
92p · 1.7xT
Konsa ↔ Rice
88p · -0.0xT
Konsa ↔ Magalhães
80p · -0.5xT
White ↔ Rice
80p · 0.4xT
Magalhães ↔ Lewis-Skelly
75p · 0.2xT
Raya ↔ Magalhães
74p · -0.4xT
Ødegaard ↔ Saka
70p · 1.0xT
Magalhães ↔ Calafiori
69p · -0.7xT
Vision AI Model Insight
Busiest connection: Martin Ødegaard ↔ Declan Rice (114 passes). Most dangerous per pass: Kai Havertz ↔ Declan Rice (0.04 xT/pass over 37 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 80 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
4484
ACTIONS
Carries
the ball moved with a player
1108
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (13.1% of all actions). 66% of actions run through the inside lanes (centre + both half-spaces) versus 34% down the two wings — an inside-dominant, half-space build. By third: 24% defensive, 48% middle, 28% 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 (45%). The bars under the pitch put the league’s share beside theirs.
Arsenal
32%23%45%
League
39%24%37%
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 408 this season (51.0 a match); 33% 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
119
14.9
29%
31%
Left half-space
51
6.4
12%
16%
Centre
30
3.8
7%
13%
Right half-space
74
9.2
18%
14%
Right wing
134
16.8
33%
27%
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.
1054build-up passes attempted
82%completed
28%reach the middle third
2%go long into the final third
Pass types
315CB · 36%
64Long Wide · 7%
7Long Central · 1%
355Wide → FB · 41%
127Central · 15%
Sequence success — build-up
99build-up sequences this season
7%succeed — reach the next third or a shot
47%turned over with nothing to show
CB315 · 36%
Long Wide64 · 7%
Long Central7 · 1%
Wide → FB355 · 41%
Central127 · 15%
◆ Vision AI Insight
Arsenal build predominantly down the right, with Raya as the fulcrum (211 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 → RHS def (64×).
Pass Explorer
Every pass of Arsenal’s last 8 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. 351 progressive passes across 8 matches (43.9/game).
Origin lane
Right wing
33%
Right half-space
14%
Central
13%
Left half-space
13%
Left wing
27%
Progression is right-dominant: 47% right side · 13% central · 40% left.
Who generates it
Declan Rice
43 · 12%
Ben White
42 · 12%
Martin Ødegaard
38 · 11%
David Raya
36 · 10%
Bukayo Saka
28 · 8%
Top two — Declan Rice & Ben White — account for 24% of all progression.
PROGRESSION
43.9 prog passes/game
mostly right
→
PENETRATION
21% reach final third
27% reach the box
→
THREAT
the other 79% is recycled
progress ≠ danger
What came of it.21% of progressive passes reached the final third and 27% the box; the rest was recycled in front of the block. 24% 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.
2130progression passes attempted
90%completed
17%break into the final third
9%go backward into the defensive third
Pass types
478CB · 25%
56Long Wide · 3%
8Long Central · 0%
1041Wide → FB · 54%
335Central · 17%
Sequence success — progression
134progression sequences this season
19%succeed — reach the next third or a shot
39%turned over with nothing to show
CB478 · 25%
Long Wide56 · 3%
Long Central8 · 0%
Wide → FB1041 · 54%
Central335 · 17%
◆ Vision AI Insight
Arsenal progress predominantly down the right, with Rice the busiest midfield outlet (334 progression passes). Only 17% of passes that start in midfield actually break the final-third line — the rest (74%) 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 C mid → RHS mid (133×) — 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
2%
Neutral / sideways
48%
Safe / backward
38%
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 Arsenal actually progress the ball with their feet, not a pass?
256 progressive carries this season across the whole squad (23% of 1108 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 63m. Most active carrier: Rice (49). Filter to one player below.
First (76)Second (69)Third (62)Fourth (49)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.
107shots
12.5xG
0.12xG per shot
5big chances (0.3+ xG)
13goals
#5key 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 transition21% of shots
23
3
2.68
0.12
Cross
6
2
0.81
0.14
Cut-back
2
0
0.12
0.06
Pass into the box / short pass
14
0
1.41
0.10
Own creation (carry, dribble, rebound)
1
1
0.33
0.33
Settled attack57% of shots
61
8
6.64
0.11
Cross
5
0
0.66
0.13
Cut-back
8
2
0.91
0.11
Long ball
2
0
0.18
0.09
Pass into the box / short pass
38
6
3.68
0.10
Own creation (carry, dribble, rebound)
8
0
1.22
0.15
Set piece21% of shots
23
2
3.20
0.14
Corner
20
1
2.35
0.12
Free kick
2
0
0.05
0.03
Penalty
1
1
0.79
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
Riccardo Calafiori
6
1.44
2
Martin Ødegaard
13
1.43
0
Christos Tzolis
8
0.87
1
Viktor Gyökeres
6
0.82
0
Ben White
6
0.73
3
Who takes them
Player
Shots
xG
Goals
Bukayo Saka
17
3.50
3
Martin Ødegaard
14
1.77
2
Kai Havertz
14
1.54
2
Gabriel Magalhães
9
1.13
1
Riccardo Calafiori
9
0.95
1
Vision AI Model Insight
The biggest source of Arsenal's chances, by xG, is settled attack (6.6 of 12.5 xG, 61 of 107 shots), mostly pass into the box / short pass. 23 of the 107 shots (21%) came within 15 seconds of winning the ball. 23 of the 107 shots came from set pieces; 13 goals from 12.5 xG (+0.5).
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
3CB · 3%
5Long Central · 6%
29Wide → FB · 33%
51Central · 58%
Sequence success — final-third
122final-third sequences this season
20%succeed — produce a shot
34%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB3 · 3%
Long Central5 · 6%
Wide → FB29 · 33%
Central51 · 58%
Who creates — volume × threat
15Rice
14Ødegaard
10Saka
8Tzolis
8Madueke
7White
6Gyökeres
88key passes #5 of 20
21.2box entries/game #1 of 20
42.0final-3rd entries/game #4 of 20
1.56xG/game #6 of 20
13goals #5 of 20
+0.5finishing vs xG #9 of 20
◆ Vision AI Insight
Arsenal lean right — 49% of their key passes come from that flank and its half-space (43 of 88), most often from Ødegaard (9). They funnel chances into the c of the final third, most often via RHS att → C att (15 key passes, most often from White). Rice is the primary source overall. They generate 1.56 xG a game and finish it clinical — they beat their xG, led by Bukayo Saka (3G), Martin Ødegaard (2G), Kai Havertz (2G).
Crosses & Cutbacks — squad-wide
The question
How does Arsenal deliver into the box from wide areas, and what comes of it?
94 crosses: 50 found a team-mate (53%), 10 led to a shot (11%). 48 cut-backs: 25 found a team-mate (52%), 12 led to a shot (25%). 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?
94 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. 26% come from one territory, the byline right wing; 7 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
24
26%
3
byline · left wing
22
23%
3
advanced · right wing
20
21%
1
advanced · left wing
12
13%
2
deep · right wing
8
9%
0
byline · right half-space
3
3%
1
byline · left half-space
2
2%
0
deep · left half-space
1
1%
0
deep · left wing
1
1%
0
advanced · left half-space
1
1%
0
Finishing3 sections
Shot Map
107 shots for 12.5 xG (1.56/game, #6 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
High-volume attack. 13.4 shots/game at 0.117 xG/shot. Box entries 21/game (#1). Threat created 12.8 xT/game (#2).
Goal Sequences
The move behind each of Arsenal’s 13 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 — 13 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
11 · 85%
Set pieces
1 · 8%
Penalties
1 · 8%
By finish
Right foot
6 · 46%
Left foot
6 · 46%
Header
1 · 8%
Vision AI Model Insight
13 goals scored. 85% come in open play; set pieces add 8%. 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
261
Failed forward pass
166
Failed take-on
64
Lost in the defensive third
186
Their weakest zone is the left wing in the defensive third: 32% of 114 pass attempts there are lost (36 times). Separately, 40% 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.
52
Pressing Index /100 · average
Intensity58
PPDA, high-press share, high-zone actions
Height80
how high up the pitch they defend
Effectiveness30
high recoveries & high-regain share
Disruption48
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
18%
RHS
23%
C
25%
LHS
20%
LW
13%
By third (high / mid / low regain)
Def 44%
Mid 40%
Att 16%
Read
Ranked #5 of 20 for press intensity, this is a high press. 56% of defensive actions happen in the middle & attacking thirds, at an average height of 41. Of recoveries, 53% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#5/20
lower = more intense; rank is what matters
Defensive actions / game
138
#19/20
High-press share
25%
#5/20
def actions won high up
Defensive-action height (0–100)
40.9
#4/20
avg pitch height of actions
High recoveries / game
17.9
#18/20
ball won in mid+att third
High-recovery share
53%
#10/20
share of recoveries won high
Opponent completion allowed
76%
#2/20
lower = more disruptive
Opponent progressive allowed
10.2%
#19/20
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 210 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 4.7 opponent passes in the first half-hour and after 4.4 after the hour mark (sooner).
PASSES THEY GET
4.4passes
median 2 · before Arsenal win it
TIME THEY KEEP IT
13sec
median 5s · 26.2 wins per game
How many passes the opponent got in before the ball was won
52%
23%
14%
11%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
3.9
11s
15–30′
5.7
17s
30–45+′
3.1
9s
45–60′
4.3
12s
60–75′
4.8
15s
75–90+′
4.2
11s
average passesaverage seconds
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) 1,054 passes
narrow, central, played inside
Width of use-1.0018.94
Wide-channel share-0.940.25
Side bias-0.48-1.65
Pass length-0.3721.36
Long-ball share-0.390.19
Forward gain per pass-0.2310.46
Backward-pass share-0.040.20
Deep-pass share-0.350.25
Completion+0.350.82
Seconds between passes+0.493.62
Side used
left 22% · central 51% · right 27%
Progression (middle third) 2,130 passes
narrow, central, played inside, less recycling
Width of use-1.2922.83
Wide-channel share-1.280.31
Side bias-0.89-3.45
Pass length-0.5616.44
Long-ball share-0.910.07
Forward gain per pass+0.023.64
Backward-pass share-1.050.29
Deep-pass share-0.420.14
Completion+0.820.90
Seconds between passes+0.123.25
Side used
left 28% · central 35% · right 37%
Final third 1,300 passes
safer, shorter passing, kept on the floor
Width of use-0.3330.79
Wide-channel share-0.640.53
Side bias-0.79-6.02
Pass length-1.0413.85
Long-ball share-0.910.06
Forward gain per pass-0.460.43
Backward-pass share+0.480.42
Deep-pass share-0.590.07
Completion+1.210.80
Seconds between passes-0.702.88
Side used
left 35% · central 14% · right 51%
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%
#4 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
#8 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
9attacking transition sequences this season
11%succeed — produce a shot
11%turned over with nothing to show
Sequence success — defensive transition
24defensive transition sequences this season
79%succeed — reach the next third or a shot
0%turned over with nothing to show
Vision AI Model Insight
Arsenal are balanced between tempo and patience: 19% of possessions reach the final third in 3 passes or fewer (#4 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 (#8 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? 294 opponent progressive passes and 86 shots faced (6.6 xG against) across the season.
Opponent threat by lane (attacking into Arsenal)
Right wing
22%
Right half-space
9%
Central
29%
Left half-space
13%
Left wing
27%
Where the danger came from. Opponents generated most of their threat through the central (29% 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 (55 total)
By situation
Open play
4 · 80%
Set pieces
1 · 20%
Penalties
0 · 0%
Vision AI Model Insight
5 goals conceded. 80% come in open play; set pieces account for only 20%, so dead-ball defending is not the main issue. 20% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the left half-space of the attacking third (20% 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
11 g · 9.3 xG
Set pieces
1 g · 2.4 xG
Penalties
1 g
8% of goals come from set pieces (1 of 13), worth 2.4 xG from 22 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Arsenal's corners go?
45 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (24)
Delivered into the box 100%Short 0%
Left side (21)
Delivered into the box 100%Short 0%
Where opponents attack Arsenal from set pieces
13 shots from opponent corners against Arsenal, 1 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (8)
Shot 8Goals 1
Left flag (5)
Shot 5Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG conceded /game — 0.82 (95th pct)
box entries /game — 21.25 (95th pct)
field tilt % — 64.13 (90th pct)
threat created /game — 12.76 (90th pct)
pass retention % — 85.30 (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
88%
Man Utd
77%
Fulham
74%
Brighton
64%
Tottenham
47%
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 (2m)
1.00
2.00
1.50
vs mid-block opponents (2m)
2.00
0.50
3.00
vs low-block opponents (4m)
1.75
0.00
3.00
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
83%
11%
44
13.6
23.5
vs mid-block opponents
84%
11%
36
11.1
20.5
vs low-block opponents
87%
8%
47
13.1
20.5
Vision AI Model Insight
Facing a high press, retention drops to 83% vs 87% against a low block (4pt lower under pressure), and directness (long-ball share) sits at 11% when pressed vs 8% 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 1.56 xG a game and they concede 0.82 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.
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 8 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).
+14.3on-ball value, 8 matches
Where the value came from
Passes4484 actions+5.43
Carries1108 actions+0.58
Dribbles107 actions-0.10
Shots107 actions+6.41
Ball wins375 actions+1.94
Most on-ball value (OBV)
Actions
OBV
per 100
Martin Ødegaard
698
+3.06
+0.44
Bukayo Saka
412
+2.62
+0.64
Declan Rice
842
+1.34
+0.16
Riccardo Calafiori
339
+0.99
+0.29
Noni Madueke
190
+0.96
+0.51
Ben White
436
+0.88
+0.20
Christos Tzolis
236
+0.72
+0.31
Gabriel Magalhães
601
+0.70
+0.12
Biggest single moves
OBV
1 Martin Ødegaard · shot
+0.718
2 Bukayo Saka · shot
+0.703
3 Riccardo Calafiori · pass
+0.439
4 Ben White · pass
+0.335
5 Riccardo Calafiori · pass
+0.305
6 Bukayo Saka · shot
+0.292
Set Pieces by Player
Who delivers Arsenal’s dead balls and who finishes them this season. 45 corners taken, most by Declan Rice (21); 22 shots from corners and free kicks, 1 goals, led by Ezri Konsa (1 goals, 0.84 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
Bukayo Saka
18
14 (78%)
1
—
0.06
—
1/1
Declan Rice
21
20 (95%)
1
—
0.03
—
—
Martin Ødegaard
5
5 (100%)
3
—
0.08
1
—
Gabriel Magalhães
—
—
4
—
0.51
—
—
Riccardo Calafiori
—
—
3
—
0.17
—
—
Ezri Konsa
—
—
3
1
0.84
—
—
Christos Tzolis
—
—
2
—
0.10
—
—
Kai Havertz
—
—
2
—
0.26
—
—
Eberechi Eze
—
—
1
—
0.02
1
—
Martín Zubimendi
—
—
1
—
0.08
—
—
Mikel Merino
—
—
1
—
0.25
—
—
Max Dowman
1
1 (100%)
—
—
0.00
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 216 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
Martin Ødegaard
M
657
1.92
32
12.7
Declan Rice
M
688
1.96
21
16.3
Bukayo Saka
M
621
1.45
22
6.2
Christos Tzolis
M
366
1.97
14
4.0
Noni Madueke
M
273
2.64
12
2.7
Ben White
D
557
1.13
11
9.0
Kai Havertz
F
622
0.72
10
2.8
Riccardo Calafiori
D
644
0.70
7
4.7
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)
Ben White
FB
557
9 (33%)
9 (78%)
Christos Tzolis
W
366
4 (75%)
8 (75%)
Bukayo Saka
W
621
1 (0%)
7 (57%)
Riccardo Calafiori
FB
644
1 (100%)
6 (33%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Gabriel Magalhães
D
767
149
10
9
24
Ezri Konsa
D
595
107
10
8
21
Bukayo Saka
M
621
92
11
4
23
Declan Rice
M
688
91
10
8
27
Kai Havertz
F
622
81
1
3
8
Riccardo Calafiori
D
644
78
9
5
16
Ben White
D
557
75
10
3
19
Martin Ødegaard
M
657
55
6
2
22
Full Squad Data
Every player with 100+ minutes (19 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
David Raya
G
8
767
0
0.0
0
36
23
9.4
Gabriel Magalhães
D
8
767
1
1.1
2
26
149
8.9
Declan Rice
M
8
688
0
0.3
15
43
91
16.3
Martin Ødegaard
M
8
657
2
1.8
14
38
55
12.7
Riccardo Calafiori
D
8
644
1
1.0
5
18
78
4.7
Kai Havertz
F
8
622
2
1.5
5
6
81
2.8
Bukayo Saka
M
7
621
3
3.5
10
28
92
6.2
Ezri Konsa
D
7
595
1
0.8
1
7
107
4.9
Ben White
D
7
557
0
0.1
7
42
75
9.0
Myles Lewis-Skelly
M
6
404
0
0.2
3
13
51
5.2
Christos Tzolis
M
5
366
0
0.3
8
25
48
4.0
Noni Madueke
M
5
273
1
0.5
8
13
22
2.7
Bruno Guimarães
M
6
270
2
0.2
1
10
55
3.4
Eberechi Eze
M
6
239
0
0.1
1
9
27
1.3
Mikel Merino
M
8
218
0
0.7
0
11
45
2.6
Jurriën Timber
D
4
173
0
0.0
1
11
23
3.1
Cristhian Mosquera
D
2
172
0
0.0
0
1
19
1.4
Viktor Gyökeres
F
5
169
0
0.1
6
3
22
1.4
Martín Zubimendi
M
6
144
0
0.2
0
4
30
1.4
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.
David Raya
Goalkeeper · Goalkeeper
minutes767
goals · xG0 · 0.0
prog passes /904.2
key passes /900.00
def actions /902.7
pass accuracy73%
Gabriel Magalhães
Stopper / marker · Defender
minutes767
goals · xG1 · 1.1
prog passes /903.1
key passes /900.23
def actions /9017.5
pass accuracy89%
Declan Rice
Advanced creator · Attacking mid
minutes688
goals · xG0 · 0.3
prog passes /905.6
key passes /901.96
def actions /9011.9
pass accuracy88%
Martin Ødegaard
Advanced creator · Attacking mid
minutes657
goals · xG2 · 1.8
prog passes /905.2
key passes /901.92
def actions /907.5
pass accuracy88%
Riccardo Calafiori
Stopper / marker · Defender
minutes644
goals · xG1 · 1.0
prog passes /902.5
key passes /900.70
def actions /9010.9
pass accuracy83%
Kai Havertz
Ball-winner / destroyer · Midfielder
minutes622
goals · xG2 · 1.5
prog passes /900.9
key passes /900.72
def actions /9011.7
pass accuracy79%
Bukayo Saka
Poacher / finisher · Forward
minutes621
goals · xG3 · 3.5
prog passes /904.1
key passes /901.45
def actions /9013.3
pass accuracy76%
Ezri Konsa
Stopper / marker · Defender
minutes595
goals · xG1 · 0.8
prog passes /901.1
key passes /900.15
def actions /9016.2
pass accuracy96%
Ben White
Ball-playing defender · Defender
minutes557
goals · xG0 · 0.1
prog passes /906.8
key passes /901.13
def actions /9012.1
pass accuracy81%
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: shots /game (40th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (13.38, 40th percentile vs the league).