Combining every season — this one is larger, give it a moment.
Team reportPremier League 2026
Everton
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #11 of 20 on 10 points (2-4-2, 8:9). 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 Everton and how good was the season?
Read. Everton currently sit #11 of 20 on 10 points (2W-4D-2L, 1.25 pts/game), scoring 8 and conceding 9 for a goal difference of -1.
On the ball they are a balanced-territory team (49% field tilt, #9 in the league); off it they defend with a aggressive high-press (#12 of 20 for press intensity).
Across the 8 matches of event data, they create 1.12 xG/game (#13) and concede 1.42 (#13), a net of -0.30 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Everton actually finish, and against whom?
The authoritative final table (full season), centred on Everton.
#
team
P
W
D
L
GF
GA
GD
Pts
8
Newcastle
8
3
2
3
12
14
-2
11
9
Aston Villa
8
3
2
3
9
12
-3
11
10
Hull City
8
2
4
2
9
8
+1
10
11
Everton
8
2
4
2
8
9
-1
10
12
Ipswich
8
3
1
4
12
16
-4
10
13
Bournemouth
8
2
3
3
12
13
-1
9
14
Tottenham
8
2
3
3
8
10
-2
9
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Everton 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
Everton tend to stay fairly even across both halves — first-half net xG -1.09, second-half -1.29. Their strongest period is 16-30' (net +0.39 xG); their most dangerous period to face is 76-90+' (net -1.30 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 matches: Everton against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (-2.4 xG). Hover a point for that match.
EvertonOpponents against Everton
Tactical DNA
The football question
In five genes, what is Everton'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.
58
Build-Up
possession control from the back
30
Progression
moving the ball upfield with threat
40
Creation
manufacturing chances
48
Press
winning the ball high & hard
35
Solidity
resisting the opponent's threat
Genetic identity
Everton are defined most by their Build-Up DNA (58/100 · average at possession control from the back), and least by their Progression DNA (30/100). 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
26%
Possession
26%
Field tilt
48%
Disrupt
Central progression ~proxy
57%
Dribble tendency
61%
Progressive passes
57%
Finish
Final-third patience
87%
Shot quality
61%
Open-play xG
43%
Press
Forward press ~proxy
48%
High regains
78%
Pressing efficiency ~proxy
48%
Defend
Def-mid press ~proxy
30%
High line ~proxy
74%
PAdj defensive actions
35%
Everton is defined most by Finish (64% in the league) and weakest on Possess (33%). 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 Everton actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Everton'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; Everton highlighted. Hover any dot for the team.
Vision AI Model Insight
Everton post 49% field tilt, ranking #9 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.25 points/game sits below the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Everton has the ball, how much of that time is spent building, progressing and creating?
The share of Everton'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
25.3%
Progression
45.2%
Chance creation
27.4%
Attacking transition
2.1%
Vision AI Model Insight
Progression is where Everton spends most of its time on the ball (45% 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
Pickford ↔ Tarkowski
125p · -0.1xT
Mykolenko ↔ Branthwaite
89p · -0.4xT
Pickford ↔ Branthwaite
87p · -0.7xT
Garner ↔ Dewsbury-Hall
73p · 0.2xT
Mykolenko ↔ Garner
69p · -0.5xT
Mykolenko ↔ George
64p · 0.8xT
Tarkowski ↔ Garner
63p · 0.4xT
Garner ↔ Branthwaite
62p · -0.2xT
Mykolenko ↔ Dewsbury-Hall
61p · 0.4xT
Tarkowski ↔ Röhl
55p · -0.5xT
Vision AI Model Insight
Busiest connection: Jordan Pickford ↔ James Tarkowski (125 passes). Most dangerous per pass: Kiernan Dewsbury-Hall ↔ Harrison Armstrong (0.03 xT/pass over 34 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Everton 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 Everton 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
3734
ACTIONS
Carries
the ball moved with a player
1031
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left wing of the middle third (12.8% of all actions). 57% of actions run through the inside lanes (centre + both half-spaces) versus 43% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 46% 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. Everton leaned on their left (49%). The bars under the pitch put the league’s share beside theirs.
Everton
49%19%32%
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. Everton made 323 this season (40.4 a match); 35% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
113
14.1
35%
31%
Left half-space
53
6.6
16%
16%
Centre
39
4.9
12%
13%
Right half-space
35
4.4
11%
14%
Right wing
83
10.4
26%
27%
Build-up2 sections
Build-Up — the pass map
The football question
How does Everton 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.
1080build-up passes attempted
79%completed
27%reach the middle third
2%go long into the final third
Pass types
311CB · 36%
56Long Wide · 7%
13Long Central · 2%
378Wide → FB · 44%
95Central · 11%
Sequence success — build-up
88build-up sequences this season
2%succeed — reach the next third or a shot
38%turned over with nothing to show
CB311 · 36%
Long Wide56 · 7%
Long Central13 · 2%
Wide → FB378 · 44%
Central95 · 11%
◆ Vision AI Insight
Everton build predominantly down the left, with Pickford as the fulcrum (235 build-up passes). Only 29% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → LHS def (57×).
Pass Explorer
Every pass of Everton’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. 303 progressive passes across 8 matches (37.9/game).
Origin lane
Right wing
25%
Right half-space
11%
Central
13%
Left half-space
16%
Left wing
35%
Progression is left-dominant: 36% right side · 13% central · 51% left.
Who generates it
Jordan Pickford
36 · 12%
James Garner
36 · 12%
Vitalii Mykolenko
35 · 12%
Kiernan Dewsbury-Hall
32 · 11%
James Tarkowski
23 · 8%
Top two — Jordan Pickford & James Garner — account for 24% of all progression.
PROGRESSION
37.9 prog passes/game
mostly left
→
PENETRATION
27% reach final third
19% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 19% the box; the rest was recycled in front of the block. 24% of the progression ran through two players, mostly down the left side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Everton 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.
1705progression passes attempted
86%completed
15%break into the final third
13%go backward into the defensive third
Pass types
403CB · 27%
39Long Wide · 3%
13Long Central · 1%
846Wide → FB · 58%
170Central · 12%
Sequence success — progression
168progression sequences this season
26%succeed — reach the next third or a shot
41%turned over with nothing to show
CB403 · 27%
Long Wide39 · 3%
Long Central13 · 1%
Wide → FB846 · 58%
Central170 · 12%
◆ Vision AI Insight
Everton progress predominantly down the left, with Garner the busiest midfield outlet (221 progression passes). Only 15% of passes that start in midfield actually break the final-third line — the rest (72%) is recycled back into midfield or (13%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LHS mid → LW mid (112×) — 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)
12%
Progressive
1%
Neutral / sideways
50%
Safe / backward
37%
13% of passes are progressive-or-better; the remaining 87% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Everton actually progress the ball with their feet, not a pass?
245 progressive carries this season across the whole squad (26% of 942 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 59m. Most active carrier: Tarkowski (34). Filter to one player below.
First (71)Second (67)Third (55)Fourth (52)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 Everton'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.
109shots
9.0xG
0.08xG per shot
3big chances (0.3+ xG)
8goals
#9key passes / game in the league
#13box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition29% of shots
32
3
3.19
0.10
Cross
2
1
0.16
0.08
Cut-back
4
0
0.31
0.08
Long ball
1
0
0.06
0.06
Pass into the box / short pass
21
1
2.40
0.11
Own creation (carry, dribble, rebound)
4
1
0.27
0.07
Settled attack55% of shots
60
3
4.58
0.08
Cross
15
1
1.54
0.10
Cut-back
5
0
0.42
0.08
Long ball
3
0
0.16
0.05
Pass into the box / short pass
25
0
1.53
0.06
Own creation (carry, dribble, rebound)
12
2
0.93
0.08
Set piece16% of shots
17
2
1.19
0.07
Corner
15
2
1.14
0.08
Free kick
2
0
0.05
0.02
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
Kiernan Dewsbury-Hall
15
1.65
0
Harrison Armstrong
7
0.89
1
Tyrique George
8
0.56
0
Vitalii Mykolenko
4
0.55
0
Jack Grealish
8
0.52
0
Who takes them
Player
Shots
xG
Goals
Thierno Barry
27
4.03
3
Kiernan Dewsbury-Hall
20
1.29
2
Tyrique George
11
0.56
1
Harrison Armstrong
7
0.50
0
Brennan Johnson
5
0.49
0
Vision AI Model Insight
The biggest source of Everton's chances, by xG, is settled attack (4.6 of 9.0 xG, 60 of 109 shots), mostly cross. 32 of the 109 shots (29%) came within 15 seconds of winning the ball. 17 of the 109 shots came from set pieces; 8 goals from 9.0 xG (-1.0).
Chance Creation — the pass map
The football question
How does Everton 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 · 4%
5Long Wide · 6%
4Long Central · 5%
31Wide → FB · 38%
38Central · 47%
Sequence success — final-third
124final-third sequences this season
23%succeed — produce a shot
41%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 · 4%
Long Wide5 · 6%
Long Central4 · 5%
Wide → FB31 · 38%
Central38 · 47%
Who creates — volume × threat
15Dewsbury-Hall
9Grealish
8George
7Garner
7Armstrong
5Johnson
5Maitland-Niles
81key passes #9 of 20
11.6box entries/game #13 of 20
29.5final-3rd entries/game #10 of 20
1.12xG/game #13 of 20
8goals #15 of 20
-1.0finishing vs xG #15 of 20
◆ Vision AI Insight
Everton lean left — 53% of their key passes come from that flank and its half-space (43 of 81), most often from Dewsbury-Hall (10). They funnel chances into the c of the final third, most often via LHS att → C att (15 key passes, most often from Dewsbury-Hall). Dewsbury-Hall is the primary source overall. They generate 1.12 xG a game and finish it wasteful — they under-perform their xG, led by Thierno Barry (3G), Kiernan Dewsbury-Hall (2G), Tyrique George (1G).
Crosses & Cutbacks — squad-wide
The question
How does Everton deliver into the box from wide areas, and what comes of it?
114 crosses: 32 found a team-mate (28%), 17 led to a shot (15%). 22 cut-backs: 12 found a team-mate (55%), 9 led to a shot (41%). 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 Everton actually cross from?
114 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 25% come from one territory, the byline left wing; 7 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · left wing
29
25%
4
byline · right wing
22
19%
4
advanced · right wing
19
17%
3
advanced · left wing
19
17%
2
deep · left wing
11
10%
2
deep · right wing
7
6%
1
byline · left half-space
4
4%
1
deep · right half-space
1
1%
0
advanced · right half-space
1
1%
0
advanced · left half-space
1
1%
0
Finishing3 sections
Shot Map
109 shots for 9.0 xG (1.12/game, #13 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 13.6 shots/game at 0.082 xG/shot. Box entries 12/game (#13). Threat created 9.7 xT/game (#13).
Goal Sequences
The move behind each of Everton’s 8 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 — 8 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Everton scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
6 · 75%
Set pieces
2 · 25%
Penalties
0 · 0%
By finish
Right foot
4 · 50%
Left foot
1 · 12%
Header
2 · 25%
Other
1 · 12%
Vision AI Model Insight
8 goals scored. 75% 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
247
Failed forward pass
170
Failed take-on
71
Lost in the defensive third
227
Their weakest zone is the right wing in the attacking third: 30% of 232 pass attempts there are lost (69 times). Separately, 35% 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 Everton 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.
46
Pressing Index /100 · average
Intensity53
PPDA, high-press share, high-zone actions
Height40
how high up the pitch they defend
Effectiveness52
high recoveries & high-regain share
Disruption32
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
12%
RHS
20%
C
23%
LHS
23%
LW
22%
By third (high / mid / low regain)
Def 48%
Mid 35%
Att 17%
Read
Ranked #12 of 20 for press intensity, this is a high press. 52% of defensive actions happen in the middle & attacking thirds, at an average height of 39. Of recoveries, 52% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#12/20
lower = more intense; rank is what matters
Defensive actions / game
160
#8/20
High-press share
24%
#9/20
def actions won high up
Defensive-action height (0–100)
38.6
#12/20
avg pitch height of actions
High recoveries / game
22.5
#6/20
ball won in mid+att third
High-recovery share
52%
#12/20
share of recoveries won high
Opponent completion allowed
83%
#16/20
lower = more disruptive
Opponent progressive allowed
8.8%
#11/20
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 Everton win it back with a defensive action?
Counted over the 272 opposition possessions that Everton 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 Everton step in. Everton win it after 7.8 opponent passes in the first half-hour and after 5.6 after the hour mark (sooner).
PASSES THEY GET
6.2passes
median 4 · before Everton win it
TIME THEY KEEP IT
18sec
median 10s · 34.0 wins per game
How many passes the opponent got in before the ball was won
37%
24%
18%
22%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
7.6
23s
15–30′
8.1
25s
30–45+′
5.9
17s
45–60′
5.2
15s
60–75′
5.6
14s
75–90+′
5.6
15s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Everton 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 Everton 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) 1,080 passes
left-sided
Width of use-0.0720.86
Wide-channel share+0.040.31
Side bias+0.883.47
Pass length+0.1223.11
Long-ball share+0.080.24
Forward gain per pass+0.1912.29
Backward-pass share-0.020.20
Deep-pass share+0.110.30
Completion-0.100.79
Seconds between passes-0.133.25
Side used
left 33% · central 44% · right 23%
Progression (middle third) 1,705 passes
left-sided, touchline to touchline
Width of use+0.9527.59
Wide-channel share+0.700.45
Side bias+1.345.36
Pass length-0.2716.84
Long-ball share-0.010.10
Forward gain per pass-0.363.06
Backward-pass share+0.230.34
Deep-pass share-0.160.15
Completion+0.260.86
Seconds between passes+0.123.25
Side used
left 45% · central 23% · right 31%
Final third 949 passes
nothing unusual in this zone
Width of use-0.1631.22
Wide-channel share-0.150.57
Side bias+0.573.53
Pass length-0.4814.72
Long-ball share-0.190.09
Forward gain per pass+0.021.07
Backward-pass share-0.210.37
Deep-pass share-0.620.07
Completion+0.500.74
Seconds between passes-0.363.12
Side used
left 48% · central 16% · right 37%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Everton'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 Everton 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%
#5 of 20 · reaches final third in ≤3 passes
Patient build-up share23%
#15 of 20 · spells of 6+ passes
Tempo (possession length)17.0s
#9 of 20 · shorter = faster tempo
Passes per possession4.1
#13 of 20
Counter-attack shots /game0.91
#13 of 20 · shot within 12s of a regain in own half
Press→shot /game2.89
#11 of 20 · shot within 8s of a high regain
Speed to final third after regain12.4s
#8 of 20 · lower = faster break
Sequence success — attacking transition
22attacking transition sequences this season
14%succeed — produce a shot
45%turned over with nothing to show
Sequence success — defensive transition
50defensive transition sequences this season
70%succeed — reach the next third or a shot
10%turned over with nothing to show
Vision AI Model Insight
Everton are a direct, fast-break side: 19% of possessions reach the final third in 3 passes or fewer (#5 of 20), against 23% built patiently over 6+ passes (#15 of 20). Winning the ball back leads to a shot inside 12 seconds 0.91 times a game (#13), and a high regain converts to a shot within 8 seconds 2.89 times a game (#11 of 20) — not yet a major source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Everton? 376 opponent progressive passes and 116 shots faced (11.3 xG against) across the season.
Opponent threat by lane (attacking into Everton)
Right wing
23%
Right half-space
14%
Central
18%
Left half-space
16%
Left wing
28%
Where the danger came from. Opponents generated most of their threat through the left wing (28% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Everton actually come from — open play, dead balls, and who supplies them?
Every goal Everton conceded across the loaded matches — the opponent's shots in Everton'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 (86 total)
By situation
Open play
8 · 89%
Set pieces
1 · 11%
Penalties
0 · 0%
Vision AI Model Insight
9 goals conceded. 89% come in open play; set pieces account for only 11%, so dead-ball defending is not the main issue. 22% 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 (23% 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
6 g · 7.8 xG
Set pieces
2 g · 1.2 xG
Penalties
0 g
25% of goals come from set pieces (2 of 8), worth 1.2 xG from 17 shots. A genuine set-piece weapon — defend the box seriously.
Where do Everton's corners go?
39 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (21)
Delivered into the box 100%Short 0%
Left side (18)
Delivered into the box 100%Short 0%
Where opponents attack Everton from set pieces
20 shots from opponent corners against Everton, 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 (7)
Shot 7Goals 0
Left flag (13)
Shot 13Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
progression /game — 37.88 (25th pct)
xG created /game — 1.12 (35th pct)
xG conceded /game — 1.42 (35th pct)
box entries /game — 11.62 (35th pct)
threat created /game — 9.67 (35th pct)
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.
Aston Villa
89%
Ipswich
81%
Crystal Palace
65%
Newcastle
61%
Chelsea
57%
Performance vs Opponent Styles
The question
Not just how Everton 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 Everton's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
1.50
0.50
2.00
vs mid-block opponents (2m)
0.00
1.00
0.50
vs low-block opponents (4m)
1.25
1.50
1.25
Behaviour — how Everton actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
77%
17%
37
9.4
12.5
vs mid-block opponents
82%
14%
32
8.0
9.5
vs low-block opponents
82%
12%
41
10.6
12.2
Vision AI Model Insight
Facing a high press, retention drops to 77% vs 82% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 17% when pressed vs 12% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. Everton are balanced-territory with a aggressive high-press.
Their attack creates 1.12 xG a game and they concede 1.42 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 Everton’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.
Everton
across 8 matches this season
Final-third entriesat Tottenham · 0-0 · 2026-09-1222avg 40
Progressive carriesat Hull City · 2-2 · 2026-10-1174avg 49
Progressive passesat Hull City · 2-2 · 2026-10-1156avg 38
Threat from passingat Hull City · 2-2 · 2026-10-117.70avg 4.79
PPDAat Tottenham · 0-0 · 2026-09-127.9avg 5.3
Field tiltat Tottenham · 0-0 · 2026-09-1229%avg 49%
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 Everton’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).
+11.5on-ball value, 8 matches
Where the value came from
Passes3734 actions+4.95
Carries942 actions+0.71
Dribbles117 actions+0.27
Shots109 actions+2.82
Ball wins497 actions+2.77
Most on-ball value (OBV)
Actions
OBV
per 100
Kiernan Dewsbury-Hall
522
+1.38
+0.26
Tyrique George
360
+1.16
+0.32
James Tarkowski
568
+1.13
+0.20
Thierno Barry
181
+1.01
+0.56
Jack Grealish
273
+0.93
+0.34
Harrison Armstrong
384
+0.91
+0.24
James Garner
547
+0.82
+0.15
Jordan Pickford
469
+0.78
+0.17
Biggest single moves
OBV
1 Thierno Barry · shot
+0.398
2 Tyrique George · pass
+0.341
3 James Garner · pass
+0.289
4 Kiernan Dewsbury-Hall · pass
+0.283
5 Thierno Barry · shot
+0.242
6 Iliman Ndiaye · pass
+0.232
Set Pieces by Player
Who delivers Everton’s dead balls and who finishes them this season. 39 corners taken, most by Kiernan Dewsbury-Hall (21); 17 shots from corners and free kicks, 2 goals, led by Kiernan Dewsbury-Hall (1 goals, 0.29 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
Kiernan Dewsbury-Hall
21
17 (81%)
5
1
0.29
—
—
James Garner
14
12 (86%)
2
—
0.05
2
—
Hayden Hackney
4
4 (100%)
1
—
0.03
—
—
Tyrique George
—
—
2
—
0.08
—
—
Jarrad Branthwaite
—
—
2
—
0.13
—
—
Thierno Barry
—
—
2
—
0.49
—
—
James Tarkowski
—
—
1
1
0.07
—
—
Ainsley Maitland-Niles
—
—
1
—
0.03
—
—
Vitaliy Mykolenko
—
—
1
—
0.03
—
—
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
Kiernan Dewsbury-Hall
M
749
1.80
22
9.1
Jack Grealish
M
307
2.64
11
4.0
James Garner
M
643
0.98
9
7.3
Tyrique George
M
501
1.44
8
3.6
Harrison Armstrong
M
729
0.86
8
4.2
Vitalii Mykolenko
D
654
0.55
9
7.8
Brennan Johnson
M
406
1.11
5
1.3
Ainsley Maitland-Niles
D
315
1.43
5
3.7
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)
Vitalii Mykolenko
FB
654
10 (10%)
5 (40%)
Tyrique George
W
501
6 (50%)
3 (33%)
Jack Grealish
W
307
3 (33%)
6 (50%)
Merlin Röhl
FB
457
4 (25%)
3 (33%)
Ainsley Maitland-Niles
FB
315
5 (20%)
1 (0%)
Brennan Johnson
W
406
2 (50%)
3 (33%)
Tyler Dibling
W
70
1 (0%)
1 (100%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
James Tarkowski
D
774
171
15
21
28
Thierno Barry
F
720
125
2
2
11
Vitalii Mykolenko
D
654
124
17
7
37
Jarrad Branthwaite
D
676
124
8
10
21
Harrison Armstrong
M
729
107
15
5
32
James Garner
M
643
106
18
4
43
Kiernan Dewsbury-Hall
M
749
97
13
2
38
Merlin Röhl
D
457
74
7
5
17
Full Squad Data
Every player with 100+ minutes (15 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Jordan Pickford
G
8
774
0
0.0
0
36
32
9.6
James Tarkowski
D
8
774
1
0.2
2
23
171
8.0
Kiernan Dewsbury-Hall
M
8
749
2
1.3
15
32
97
9.1
Harrison Armstrong
M
8
729
0
0.5
7
10
107
4.2
Thierno Barry
F
8
720
3
4.0
5
3
125
0.5
Jarrad Branthwaite
D
7
676
0
0.3
1
16
124
6.2
Vitalii Mykolenko
D
7
654
0
0.1
4
35
124
7.8
James Garner
M
8
643
0
0.2
7
36
106
7.3
Tyrique George
M
8
501
1
0.6
8
17
46
3.6
Merlin Röhl
D
5
457
0
0.1
2
19
74
3.5
Brennan Johnson
M
8
406
0
0.5
5
3
57
1.3
Ainsley Maitland-Niles
D
5
315
1
0.1
5
18
48
3.7
Jack Grealish
M
5
307
0
0.2
9
22
38
4.0
Hayden Hackney
M
7
203
0
0.1
4
7
28
2.6
Jake O'Brien
D
4
143
0
0.0
0
2
20
0.8
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.
Jordan Pickford
Goalkeeper · Goalkeeper
minutes774
goals · xG0 · 0.0
prog passes /904.2
key passes /900.00
def actions /903.7
pass accuracy68%
James Tarkowski
Stopper / marker · Defender
minutes774
goals · xG1 · 0.2
prog passes /902.7
key passes /900.23
def actions /9019.9
pass accuracy83%
Kiernan Dewsbury-Hall
Ball-winner / destroyer · Midfielder
minutes749
goals · xG2 · 1.3
prog passes /903.8
key passes /901.80
def actions /9011.7
pass accuracy81%
Harrison Armstrong
Ball-winner / destroyer · Midfielder
minutes729
goals · xG0 · 0.5
prog passes /901.2
key passes /900.86
def actions /9013.2
pass accuracy86%
Thierno Barry
Poacher / finisher · Forward
minutes720
goals · xG3 · 4.0
prog passes /900.4
key passes /900.62
def actions /9015.6
pass accuracy74%
Jarrad Branthwaite
Stopper / marker · Defender
minutes676
goals · xG0 · 0.3
prog passes /902.1
key passes /900.13
def actions /9016.5
pass accuracy86%
Vitalii Mykolenko
Ball-playing defender · Defender
minutes654
goals · xG0 · 0.1
prog passes /904.8
key passes /900.55
def actions /9017.1
pass accuracy79%
James Garner
Ball-winner / destroyer · Midfielder
minutes643
goals · xG0 · 0.2
prog passes /905.0
key passes /900.98
def actions /9014.8
pass accuracy86%
Tyrique George
Advanced creator · Attacking mid
minutes501
goals · xG1 · 0.6
prog passes /903.1
key passes /901.44
def actions /908.3
pass accuracy82%
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 — bottom-third: progression /game (25th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (37.88, 25th percentile vs the league).
Need — bottom-third: xG created /game (35th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.12, 35th percentile vs the league).
Need — bottom-third: xG conceded /game (35th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.42, 35th percentile vs the league).