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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.

balanced-territoryaggressive high-pressmoderate attack
D
L
L
D
D
L
L
W
D
D
D
W
D
L
L
10
points
#11 of 20 · 8 games
8:9
goals
-1 GD
2-4-2
record
W-D-L
1.25
points/game
#11 in the league
1.12
xG for/game
rank #13
1.42
xG against/game
rank #13
#12
press rank
of 20 · most aggressive
49%
field tilt
#9
Everton
League average
Expected goals for / game
1.121.33
Expected goals against / game
1.421.33
Field tilt
49%50%
Pass retention
81%80%
Overview

The team

Who they are and how the season went.

Who Are They? — Identity

The question
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.

#teamPWDLGFGAGDPts
8Newcastle83231214-211
9Aston Villa8323912-311
10Hull City824298+110
11Everton824289-110
12Ipswich83141216-410
13Bournemouth82331213-19
14Tottenham8233810-29

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)
even0-15'16-30'31-45'46-60'61-75'76-90+'+0.39-1.30
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.

048129.011.3Crystal Palace (H) 2-0 · xG 1.13 to 1.36Bournemouth (A) 1-1 · xG 1.59 to 2.47Man Utd (H) 2-2 · xG 1.13 to 0.74Tottenham (A) 0-0 · xG 1.05 to 0.76Ipswich (H) 1-0 · xG 1.52 to 1.21Hull City (A) 2-2 · xG 1.51 to 1.35Chelsea (H) 0-2 · xG 0.49 to 1.44Arsenal (A) 0-2 · xG 0.54 to 2.01M1M2M3M4M5M6M7M8
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).

Possess33Disrupt58Finish64Press58Defend46
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.

Keeping the ball6 sections

Field Tilt — Territorial Control

The question
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.

Arsenal: 64% tilt, 2.62 pts/gMan City: 66% tilt, 2.62 pts/gBrighton: 61% tilt, 2.00 pts/gLiverpool: 56% tilt, 1.88 pts/gChelsea: 47% tilt, 1.62 pts/gBrentford: 47% tilt, 1.38 pts/gNewcastle: 48% tilt, 1.38 pts/gLeeds: 43% tilt, 1.38 pts/gAston Villa: 40% tilt, 1.38 pts/gIpswich: 43% tilt, 1.25 pts/gHull City: 33% tilt, 1.25 pts/gEverton: 49% tilt, 1.25 pts/gTottenham: 62% tilt, 1.12 pts/gBournemouth: 50% tilt, 1.12 pts/gFulham: 54% tilt, 1.00 pts/gMan Utd: 60% tilt, 0.88 pts/gCrystal Palace: 39% tilt, 0.88 pts/gCoventry: 39% tilt, 0.75 pts/gNottingham Forest: 48% tilt, 0.75 pts/gSunderland: 48% tilt, 0.62 pts/gEverton33%44%55%66%0.61.32.02.6FIELD TILT %POINTS / GAME
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.

Build-up: 25.3% of the time on the ball25%Progression: 45.2% of the time on the ball45%Chance creation: 27.4% of the time on the ball27%Attacking transition: 2.1% of the time on the ball45%PROGRESSION
PhaseShare of the time
Build-up25.3%
Progression45.2%
Chance creation27.4%
Attacking transition2.1%
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.

Jordan Pickford ↔ James Tarkowski: 125 passes, -0.1 combined xTVitalii Mykolenko ↔ Jarrad Branthwaite: 89 passes, -0.4 combined xTJordan Pickford ↔ Jarrad Branthwaite: 87 passes, -0.7 combined xTJames Garner ↔ Kiernan Dewsbury-Hall: 73 passes, 0.2 combined xTVitalii Mykolenko ↔ James Garner: 69 passes, -0.5 combined xTVitalii Mykolenko ↔ Tyrique George: 64 passes, 0.8 combined xTJames Tarkowski ↔ James Garner: 63 passes, 0.4 combined xTJames Garner ↔ Jarrad Branthwaite: 62 passes, -0.2 combined xTVitalii Mykolenko ↔ Kiernan Dewsbury-Hall: 61 passes, 0.4 combined xTJames Tarkowski ↔ Merlin Röhl: 55 passes, -0.5 combined xTJames Tarkowski ↔ Jarrad Branthwaite: 54 passes, -0.0 combined xTJames Tarkowski ↔ Ainsley Maitland-Niles: 52 passes, -0.1 combined xTJack Grealish ↔ Vitalii Mykolenko: 48 passes, 0.6 combined xTJames Garner ↔ Harrison Armstrong: 42 passes, 0.1 combined xTKiernan Dewsbury-Hall ↔ Tyrique George: 42 passes, 1.0 combined xTJack Grealish ↔ Kiernan Dewsbury-Hall: 37 passes, 1.1 combined xTJarrad Branthwaite ↔ Kiernan Dewsbury-Hall: 36 passes, 0.5 combined xTJack Grealish ↔ James Garner: 35 passes, 0.6 combined xTJames Garner ↔ Tyrique George: 34 passes, -0.1 combined xTKiernan Dewsbury-Hall ↔ Harrison Armstrong: 34 passes, 1.1 combined xTAinsley Maitland-Niles ↔ Harrison Armstrong: 33 passes, 0.2 combined xTJack Grealish ↔ Jarrad Branthwaite: 30 passes, 0.3 combined xTMerlin Röhl ↔ Harrison Armstrong: 30 passes, 0.2 combined xTAinsley Maitland-Niles ↔ James Garner: 29 passes, 0.2 combined xTJordan Pickford — isolate this player's connectionsPickfordJames Tarkowski — isolate this player's connectionsTarkowskiIliman Ndiaye — isolate this player's connectionsNdiayeJames Garner — isolate this player's connectionsGarnerKiernan Dewsbury-Hall — isolate this player's connectionsDewsbury-HTyrique George — isolate this player's connectionsGeorgeHarrison Armstrong — isolate this player's connectionsArmstrongThierno Barry — isolate this player's connectionsBarryJarrad Branthwaite — isolate this player's connectionsBranthwaitBrennan Johnson — isolate this player's connectionsJohnsonVitalii Mykolenko — isolate this player's connectionsMykolenkoJack Grealish — isolate this player's connectionsGrealishHayden Hackney — isolate this player's connectionsHackneyAinsley Maitland-Niles — isolate this player's connectionsMaitland-NTim Iroegbunam — isolate this player's connectionsIroegbunamMerlin Röhl — isolate this player's connectionsRöhl
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
3%4%11%6%5%7%9%7%10%13%6%3%3%5%8%PASSES
Carries
the ball moved with a player
1031
ACTIONS
2%4%10%5%3%10%8%7%11%13%8%3%2%2%11%CARRIES
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.

49%Left side19%Middle32%Right sideATTACKING →
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.

Left wing: 113 entries (35%)11335%LEFT WINGLeft half-space: 53 entries (16%)5316%LEFT HALF-SPACECentre: 39 entries (12%)3912%CENTRERight half-space: 35 entries (11%)3511%RIGHT HALF-SPACERight wing: 83 entries (26%)8326%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing11314.135%31%
Left half-space536.616%16%
Centre394.912%13%
Right half-space354.411%14%
Right wing8310.426%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%
left: 170 passes, most from Branthwaite170right: 141 passes, most from Tarkowski141
Long Wide56 · 7%
right: 32 passes, most from Pickford32left: 24 passes, most from Pickford24
Long Central13 · 2%
right: 8 passes, most from Pickford8left: 5 passes, most from Pickford5
Wide → FB378 · 44%
left: 211 passes, most from Pickford211right: 167 passes, most from Pickford167
Central95 · 11%
left: 60 passes, most from Pickford60right: 35 passes, most from Pickford35
◆ 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.

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%
left: 231 passes, most from Branthwaite231right: 172 passes, most from Tarkowski172
Long Wide39 · 3%
left: 23 passes, most from Mykolenko23right: 16 passes, most from George16
Long Central13 · 1%
left: 7 passes, most from Garner7right: 6 passes, most from Ndiaye6
Wide → FB846 · 58%
left: 534 passes, most from Mykolenko534right: 312 passes, most from Garner312
Central170 · 12%
right: 89 passes, most from Garner89left: 81 passes, most from Armstrong81
◆ 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.

Carries Map — progressive ball-carries, squad-wide

The question
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
Attacking transition: 32 shots (29%)29%32Settled attack: 60 shots (55%)55%60Set piece: 17 shots (16%)16%17109SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 29% of shots3233.190.10
Cross210.160.08
Cut-back400.310.08
Long ball100.060.06
Pass into the box / short pass2112.400.11
Own creation (carry, dribble, rebound)410.270.07
Settled attack 55% of shots6034.580.08
Cross1511.540.10
Cut-back500.420.08
Long ball300.160.05
Pass into the box / short pass2501.530.06
Own creation (carry, dribble, rebound)1220.930.08
Set piece 16% of shots1721.190.07
Corner1521.140.08
Free kick200.050.02

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

PlayerSet-upsxG createdGoals
Kiernan Dewsbury-Hall151.650
Harrison Armstrong70.891
Tyrique George80.560
Vitalii Mykolenko40.550
Jack Grealish80.520

Who takes them

PlayerShotsxGGoals
Thierno Barry274.033
Kiernan Dewsbury-Hall201.292
Tyrique George110.561
Harrison Armstrong70.500
Brennan Johnson50.490
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%
right: 2 passes, most from Branthwaite2
Long Wide5 · 6%
left: 3 passes, most from Maitland-Niles3right: 2 passes, most from Dewsbury-Hall2
Long Central4 · 5%
left: 3 passes, most from Mykolenko3
Wide → FB31 · 38%
left: 21 passes, most from Dewsbury-Hall21right: 10 passes, most from Armstrong10
Central38 · 47%
right: 24 passes, most from Dewsbury-Hall24left: 14 passes, most from Ndiaye14

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.

deep right wing: 7 crosses (6%)6%7deep right half-space: 1 crosses (1%)1%1deep centre: 0 crosses (0%)deep left half-space: 0 crosses (0%)deep left wing: 11 crosses (10%)10%11advanced right wing: 19 crosses (17%)17%19advanced right half-space: 1 crosses (1%)1%1advanced centre: 0 crosses (0%)advanced left half-space: 1 crosses (1%)1%1advanced left wing: 19 crosses (17%)17%19byline right wing: 22 crosses (19%)19%22byline right half-space: 0 crosses (0%)byline centre: 0 crosses (0%)byline left half-space: 4 crosses (4%)4%4byline left wing: 29 crosses (25%)25%29
TerritoryCrossesShareLed to a shot
byline · left wing2925%4
byline · right wing2219%4
advanced · right wing1917%3
advanced · left wing1917%2
deep · left wing1110%2
deep · right wing76%1
byline · left half-space44%1
deep · right half-space11%0
advanced · right half-space11%0
advanced · left half-space11%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

33 of 129 pass attempts lost here (26%).26%33/129Röhl26 of 149 pass attempts lost here (17%).17%26/149Pickford75 of 404 pass attempts lost here (19%).19%75/404Pickford49 of 213 pass attempts lost here (23%).23%49/213Pickford44 of 185 pass attempts lost here (24%).24%44/185Mykolenko51 of 265 pass attempts lost here (19%).19%51/265Maitland-N57 of 324 pass attempts lost here (18%).18%57/324Tarkowski34 of 276 pass attempts lost here (12%).12%34/276Garner39 of 364 pass attempts lost here (11%).11%39/364Dewsbury-H53 of 476 pass attempts lost here (11%).11%53/476Mykolenko69 of 232 pass attempts lost here (30%).30%69/232Dewsbury-H21 of 118 pass attempts lost here (18%).18%21/118Armstrong22 of 119 pass attempts lost here (18%).18%22/119Barry52 of 190 pass attempts lost here (27%).27%52/190George83 of 290 pass attempts lost here (29%).29%83/290Mykolenkoattacking →

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.

Pressing2 sections

Pressing — the full picture

The football question
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

metricvaluerankmeaning
PPDA (opp passes per def action)—#12/20lower = more intense; rank is what matters
Defensive actions / game160#8/20
High-press share24%#9/20def actions won high up
Defensive-action height (0–100)38.6#12/20avg pitch height of actions
High recoveries / game22.5#6/20ball won in mid+att third
High-recovery share52%#12/20share of recoveries won high
Opponent completion allowed83%#16/20lower = more disruptive
Opponent progressive allowed8.8%#11/20of 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

← opponent shot at own goal

Every opponent key pass against them (86 total)

1%2%1%3%3%12%19%19%23%16%Daichi KamadaAdam WhartonEddie NketiahDaichi KamadaJean-Philippe MatetaAdam WhartonEddie NketiahAnan KhalailiAnan KhalailiTyrick MitchellAdam SmithEvanilsonJustin KluivertMarcus TavernierLewis CookAlex ScottEvanilsonAdrien TruffertAlex ScottAdrien TruffertJames HillJustin KluivertJames HillMarcus TavernierAndy RobertsonSávioSávioOmar MarmoushJan Paul van HeckeSandro TonaliMohammed KudusAndy RobertsonSávioSávioBryan MbeumoDiogo DalotYouri TielemansKobbie MainooMarcus RashfordKobbie MainooBruno FernandesBruno FernandesLuke ShawJulio EncisoSamuel AmissahJack ClarkeAbdul FatawuJack ClarkeIssa DiopZian FlemmingSorba ThomasRyan GilesOliver McBurnieSorba ThomasJohn EganSorba ThomasElliot StroudSorba ThomasPedro NetoPedro NetoJordan HendersonCole PalmerJordan HendersonPedro NetoPedro NetoMoisés CaicedoMorgan RogersPedro NetoJordan HendersonCole PalmerMorgan RogersBen WhiteDeclan RiceMartin ØdegaardDeclan RiceMyles Lewis-SkellyDeclan RiceMartin ØdegaardViktor GyökeresDeclan RiceViktor GyökeresEberechi EzeNoni MaduekeBen WhiteBruno GuimarãesBen White← own goal

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.

Premium
Tactical Phase Read
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.
Subscribe →

Set-Piece Threat

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)

14%5%19%5%5%14%38%
Delivered into the box 100%Short 0%

Left side (18)

6%17%6%11%22%28%11%
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)

14%14%14%14%14%14%14%
Shot 7Goals 0

Left flag (13)

15%8%8%8%46%15%
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 typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (2m)1.500.502.00
vs mid-block opponents (2m)0.001.000.50
vs low-block opponents (4m)1.251.501.25

Behaviour — how Everton actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents77%17%379.412.5
vs mid-block opponents82%14%328.09.5
vs low-block opponents82%12%4110.612.2
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.]
Squad

Players

Who drives the numbers.

Against Their Own Norm

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
Pass accuracyat Bournemouth · 1-1 · 2026-08-2974%avg 81%
Passesat Hull City · 2-2 · 2026-10-11634avg 467
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)ActionsOBVper 100
Kiernan Dewsbury-Hall522+1.38+0.26
Tyrique George360+1.16+0.32
James Tarkowski568+1.13+0.20
Thierno Barry181+1.01+0.56
Jack Grealish273+0.93+0.34
Harrison Armstrong384+0.91+0.24
James Garner547+0.82+0.15
Jordan Pickford469+0.78+0.17
123456
Biggest single movesOBV
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.

PlayerCorners takenInto the boxSet-piece shotsGoalsxGFree-kick shotsPenalties
Kiernan Dewsbury-Hall2117 (81%)510.29——
James Garner1412 (86%)2—0.052—
Hayden Hackney44 (100%)1—0.03——
Tyrique George——2—0.08——
Jarrad Branthwaite——2—0.13——
Thierno Barry——2—0.49——
James Tarkowski——110.07——
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.

playerposminVision AI Scorecapability blocks
Jordan PickfordGK7749.3Shot-Stopping 93%
James TarkowskiCB7746.8Ball-Winning 54%Progression 42%Aerial & Box Defending 35%Ball-Carrying 32%
Jarrad BranthwaiteCB6765.9Ball-Winning 64%Progression 59%Ball-Carrying 38%Aerial & Box Defending 30%
Kiernan Dewsbury-HallAM7495.8Chance Creation 54%Ball-Carrying 48%Box Threat 14%
James GarnerCM6435.4Progression 73%Chance Creation 63%Ball-Carrying 43%Successful Dribble 36%
Vitalii MykolenkoFB6544.8Ball-Winning 59%Ball-Carrying 29%Wide Delivery 26%
Merlin RöhlFB4573.4Ball-Winning 48%Wide Delivery 39%Ball-Carrying 15%
Thierno BarryST7202.8Ball-Carrying 40%Box Threat 39%Finishing 35%Aerial Threat 0%
Tyrique GeorgeW5011.9Ball-Carrying 72%Chance Creation 39%Wide Delivery 22%Box Threat 19%
Harrison ArmstrongCM7291.8Ball-Carrying 33%Successful Dribble 30%Progression 27%Chance Creation 20%

Top Creators

Chance creation leaders — key passes /90 and box entries.

playerposminkey P /90box entriesxT
Kiernan Dewsbury-HallM7491.80229.1
Jack GrealishM3072.64114.0
James GarnerM6430.9897.3
Tyrique GeorgeM5011.4483.6
Harrison ArmstrongM7290.8684.2
Vitalii MykolenkoD6540.5597.8
Brennan JohnsonM4061.1151.3
Ainsley Maitland-NilesD3151.4353.7

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.

playerposmincrosses (completed)cutbacks (completed)
Vitalii MykolenkoFB65410 (10%)5 (40%)
Tyrique GeorgeW5016 (50%)3 (33%)
Jack GrealishW3073 (33%)6 (50%)
Merlin RöhlFB4574 (25%)3 (33%)
Ainsley Maitland-NilesFB3155 (20%)1 (0%)
Brennan JohnsonW4062 (50%)3 (33%)
Tyler DiblingW701 (0%)1 (100%)

Defensive Volume Leaders

Who does the defensive work — tackles, interceptions, recoveries.

playerposmindef actionstacklesinterceptrecoveries
James TarkowskiD774171152128
Thierno BarryF7201252211
Vitalii MykolenkoD65412417737
Jarrad BranthwaiteD67612481021
Harrison ArmstrongM72910715532
James GarnerM64310618443
Kiernan Dewsbury-HallM7499713238
Merlin RöhlD457747517

Full Squad Data

Every player with 100+ minutes (15 players).

playerposappsmingoalsxGkey PprogdefxT
Jordan PickfordG877400.0036329.6
James TarkowskiD877410.22231718.0
Kiernan Dewsbury-HallM874921.31532979.1
Harrison ArmstrongM872900.57101074.2
Thierno BarryF872034.0531250.5
Jarrad BranthwaiteD767600.31161246.2
Vitalii MykolenkoD765400.14351247.8
James GarnerM864300.27361067.3
Tyrique GeorgeM850110.6817463.6
Merlin RöhlD545700.1219743.5
Brennan JohnsonM840600.553571.3
Ainsley Maitland-NilesD531510.1518483.7
Jack GrealishM530700.2922384.0
Hayden HackneyM720300.147282.6
Jake O'BrienD414300.002200.8

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).
Vision AI · building report