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Team reportLigue 1 2026

Auxerre

A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #12 of 18 on 10 points (3-1-4, 12:18). Tactical profile below is built from 8 matches of ball-by-ball event data, contextualised against the league.

balanced-territoryaggressive high-pressmoderate attack
D
D
D
L
W
W
W
L
L
L
W
W
L
W
D
10
points
#12 of 18 · 8 games
12:18
goals
-6 GD
3-1-4
record
W-D-L
1.25
points/game
#12 in the league
1.24
xG for/game
rank #12
1.62
xG against/game
rank #13
#9
press rank
of 18 · most aggressive
52%
field tilt
#7
Auxerre
League average
Expected goals for / game
1.241.41
Expected goals against / game
1.621.41
Field tilt
52%50%
Pass retention
79%83%
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 Auxerre and how good was the season?
Read. Auxerre currently sit #12 of 18 on 10 points (3W-1D-4L, 1.25 pts/game), scoring 12 and conceding 18 for a goal difference of -6. On the ball they are a balanced-territory team (52% field tilt, #7 in the league); off it they defend with a aggressive high-press (#9 of 18 for press intensity). Across the 8 matches of event data, they create 1.24 xG/game (#12) and concede 1.62 (#13), a net of -0.38 xG/game — the underlying performance matches the actual goal difference.

Season Context — the league table

The question
Where did Auxerre actually finish, and against whom?

The authoritative final table (full season), centred on Auxerre.

#teamPWDLGFGAGDPts
9Lorient833276+112
10Nice8323810-211
11Toulouse82421211+110
12Auxerre83141218-610
13Brest82331412+29
14Angers8224915-68
15Le Mans81431116-57

Match Momentum — when they create and concede danger

The question
Across a whole game, which periods does Auxerre 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+'+0.63-2.36
Vision AI Model Insight
Auxerre tend to fade after a strong start — first-half net xG -1.23, second-half -1.77. Their strongest period is 31-45' (net +0.63 xG); their most dangerous period to face is 76-90+' (net -2.36 xG against them).

xG Race — the season, match by match

Expected goals piling up over 8 matches: Auxerre 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 (-3.0 xG). Hover a point for that match.

059149.912.9Lens (A) 2-5 · xG 1.82 to 3.49Angers (H) 1-3 · xG 2.08 to 1.21Lyon (A) 1-3 · xG 0.62 to 2.66Nice (H) 1-0 · xG 1.29 to 0.77Brest (H) 2-1 · xG 0.65 to 0.32Rennes (A) 1-4 · xG 0.76 to 1.98Le Havre (A) 3-1 · xG 1.84 to 1.20Le Mans (H) 1-1 · xG 0.86 to 1.30M1M2M3M4M5M6M7M8
AuxerreOpponents against Auxerre

Tactical DNA

The football question
In five genes, what is Auxerre'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.

36
Build-Up
possession control from the back
19
Progression
moving the ball upfield with threat
22
Creation
manufacturing chances
56
Press
winning the ball high & hard
28
Solidity
resisting the opponent's threat
Genetic identity
Auxerre are defined most by their Press DNA (56/100 · average at winning the ball high & hard), and least by their Progression DNA (19/100). Percentiles vs the 18 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).

Possess28Disrupt78Finish35Press43Defend38
Possess
Deep buildup
5%
Possession
30%
Field tilt
50%
Disrupt
Central progression ~proxy
85%
Dribble tendency
95%
Progressive passes
55%
Finish
Final-third patience
75%
Shot quality
15%
Open-play xG
15%
Press
Forward press ~proxy
35%
High regains
45%
Pressing efficiency ~proxy
50%
Defend
Def-mid press ~proxy
35%
High line ~proxy
35%
PAdj defensive actions
45%
Auxerre is defined most by Disrupt (78% in the league) and weakest on Possess (28%). Percentiles vs the 20 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 Auxerre actually control, relative to the rest of the league?

Field tilt = share of final-third touches between the two sides across Auxerre'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; Auxerre highlighted. Hover any dot for the team.

PSG: 74% tilt, 2.12 pts/gRennes: 50% tilt, 2.00 pts/gLille: 44% tilt, 1.88 pts/gMonaco: 52% tilt, 1.88 pts/gLyon: 49% tilt, 1.75 pts/gParis FC: 46% tilt, 1.75 pts/gLens: 55% tilt, 1.62 pts/gLorient: 40% tilt, 1.50 pts/gMarseille: 58% tilt, 1.50 pts/gNice: 53% tilt, 1.38 pts/gToulouse: 51% tilt, 1.25 pts/gAuxerre: 52% tilt, 1.25 pts/gBrest: 44% tilt, 1.12 pts/gAngers: 43% tilt, 1.00 pts/gStrasbourg: 42% tilt, 0.88 pts/gLe Mans: 41% tilt, 0.88 pts/gTroyes: 54% tilt, 0.62 pts/gLe Havre: 51% tilt, 0.25 pts/gAuxerre40%52%63%74%0.20.91.52.1FIELD TILT %POINTS / GAME
Vision AI Model Insight
Auxerre post 52% field tilt, ranking #7 of 18 in the league — comfortably above the league mid-point for territorial control, and their 1.25 points/game sits below the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.

Where the time goes — how long each phase lasts

The question
When Auxerre has the ball, how much of that time is spent building, progressing and creating?

The share of Auxerre'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: 19.3% of the time on the ball19%Progression: 49.3% of the time on the ball49%Chance creation: 28.7% of the time on the ball29%Attacking transition: 2.7% of the time on the ball49%PROGRESSION
PhaseShare of the time
Build-up19.3%
Progression49.3%
Chance creation28.7%
Attacking transition2.7%
Vision AI Model Insight
Progression is where Auxerre spends most of its time on the ball (49% 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.

Fredrik Oppegård ↔ Clément Akpa: 75 passes, 0.2 combined xTKévin Danois ↔ Clément Akpa: 75 passes, -0.1 combined xTAxel Tuanzebe ↔ Clément Akpa: 68 passes, -0.2 combined xTDanny Namaso ↔ Kévin Danois: 67 passes, 1.1 combined xTNaouirou Ahamada ↔ Kévin Danois: 60 passes, 0.5 combined xTRomain Faivre ↔ Kévin Danois: 56 passes, 1.5 combined xTKévin Danois ↔ Arthur Piedfort: 53 passes, 0.8 combined xTLamine Sy ↔ Christ Makosso: 51 passes, -0.4 combined xTKévin Danois ↔ Lamine Sy: 50 passes, 0.3 combined xTRomain Faivre ↔ Lamine Sy: 44 passes, 0.5 combined xTLamine Sy ↔ Arthur Piedfort: 41 passes, -0.1 combined xTRomain Faivre ↔ Naouirou Ahamada: 40 passes, 0.3 combined xTKévin Danois ↔ Christ Makosso: 40 passes, -0.0 combined xTFredrik Oppegård ↔ Kévin Danois: 37 passes, 0.1 combined xTAxel Tuanzebe ↔ Christ Makosso: 36 passes, -0.2 combined xTDanny Namaso ↔ Fredrik Oppegård: 35 passes, 1.4 combined xTDanny Namaso ↔ Lamine Sy: 34 passes, 1.0 combined xTNaouirou Ahamada ↔ Lamine Sy: 34 passes, 0.4 combined xTNaouirou Ahamada ↔ Clément Akpa: 34 passes, 0.3 combined xTCameron Archer ↔ Kévin Danois: 33 passes, 0.8 combined xTAxel Tuanzebe ↔ Naouirou Ahamada: 32 passes, 0.1 combined xTAxel Tuanzebe ↔ Kévin Danois: 32 passes, 0.3 combined xTDanny Namaso ↔ Romain Faivre: 31 passes, 1.7 combined xTDanny Namaso ↔ Clément Akpa: 28 passes, 0.6 combined xTDanny Namaso — isolate this player's connectionsNamasoRomain Faivre — isolate this player's connectionsFaivreNaouirou Ahamada — isolate this player's connectionsAhamadaLassine Sinayoko — isolate this player's connectionsSinayokoKévin Danois — isolate this player's connectionsDanoisClément Akpa — isolate this player's connectionsAkpaRudy Matondo — isolate this player's connectionsMatondoLamine Sy — isolate this player's connectionsSyArthur Piedfort — isolate this player's connectionsPiedfortChrist Makosso — isolate this player's connectionsMakossoFredrik Oppegård — isolate this player's connectionsOppegårdMamadou Diop — isolate this player's connectionsDiopCameron Archer — isolate this player's connectionsArcherAxel Tuanzebe — isolate this player's connectionsTuanzebeRémy Labeau Lascary — isolate this player's connectionsLascaryAristide Zossou — isolate this player's connectionsZossou
width = passes between the paircolour = xT per pass: low → high

Top 10 combinations

Oppegård ↔ Akpa
75p · 0.2xT
Danois ↔ Akpa
75p · -0.1xT
Tuanzebe ↔ Akpa
68p · -0.2xT
Namaso ↔ Danois
67p · 1.1xT
Ahamada ↔ Danois
60p · 0.5xT
Faivre ↔ Danois
56p · 1.5xT
Danois ↔ Piedfort
53p · 0.8xT
Sy ↔ Makosso
51p · -0.4xT
Danois ↔ Sy
50p · 0.3xT
Faivre ↔ Sy
44p · 0.5xT
Vision AI Model Insight
Busiest connection: Fredrik Oppegård ↔ Clément Akpa (75 passes). Most dangerous per pass: Danny Namaso ↔ Romain Faivre (0.06 xT/pass over 31 passes) — the combination that hurts opponents most when it fires, not just the one used most.

Touch Density — where Auxerre had the ball

Every touch across 72 matches. Brighter means more touches.

Which Zones Do They Attack Through?

The question
Across the whole pitch, where does Auxerre 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
3485
ACTIONS
4%4%10%5%4%9%8%12%11%9%6%4%2%4%7%PASSES
Carries
the ball moved with a player
754
ACTIONS
1%3%8%5%2%10%9%13%12%11%7%4%2%4%6%CARRIES
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (12.3% of all actions). 60% of actions run through the inside lanes (centre + both half-spaces) versus 40% down the two wings — an inside-dominant, half-space build. By third: 26% defensive, 50% middle, 23% attacking.

Attack Sides

Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. Auxerre leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.

41%Left side23%Middle37%Right sideATTACKING →
Auxerre
41%23%37%
League
38%22%40%

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. Auxerre made 313 this season (39.1 a match); 28% 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.

Left wing: 80 entries (26%)8026%LEFT WINGLeft half-space: 53 entries (17%)5317%LEFT HALF-SPACECentre: 38 entries (12%)3812%CENTRERight half-space: 53 entries (17%)5317%RIGHT HALF-SPACERight wing: 89 entries (28%)8928%RIGHT WINGATTACKING ↑
ChannelEntriesPer matchShareLeague share
Left wing8010.026%30%
Left half-space536.617%13%
Centre384.812%11%
Right half-space536.617%14%
Right wing8911.128%32%
Build-up2 sections

Build-Up — the pass map

The football question
How does Auxerre 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.

962build-up passes attempted
77%completed
31%reach the middle third
1%go long into the final third

Pass types

317CB · 43%
52Long Wide · 7%
7Long Central · 1%
285Wide → FB · 39%
78Central · 11%

Sequence success — build-up

83build-up sequences this season
13%succeed — reach the next third or a shot
36%turned over with nothing to show
CB317 · 43%
left: 179 passes, most from Akpa179right: 138 passes, most from Makosso138
Long Wide52 · 7%
left: 26 passes, most from Diop26right: 26 passes, most from Diop26
Long Central7 · 1%
left: 4 passes, most from Diop4right: 3 passes, most from Diop3
Wide → FB285 · 39%
right: 146 passes, most from Sy146left: 139 passes, most from Danois139
Central78 · 11%
left: 44 passes, most from Diop44right: 34 passes, most from Danois34
◆ Vision AI Insight
Auxerre build predominantly down the right, with Akpa as the fulcrum (115 build-up passes). Only 32% 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 (44×).

Pass Explorer

Every pass of Auxerre’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. 336 progressive passes across 8 matches (42.0/game).

Origin lane

Right wing
28%
Right half-space
11%
Central
11%
Left half-space
18%
Left wing
32%
Progression is left-dominant: 39% right side · 11% central · 50% left.

Who generates it

Clément Akpa
58 · 17%
Lamine Sy
45 · 13%
Kévin Danois
40 · 12%
Romain Faivre
30 · 9%
Fredrik Oppegård
28 · 8%
Top two — Clément Akpa & Lamine Sy — account for 31% of all progression.
PROGRESSION
42.0 prog passes/game
mostly left
→
PENETRATION
29% reach final third
18% reach the box
→
THREAT
the other 71% is recycled
progress ≠ danger
What came of it. 29% of progressive passes reached the final third and 18% the box; the rest was recycled in front of the block. 31% 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 Auxerre 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.

1711progression passes attempted
84%completed
16%break into the final third
9%go backward into the defensive third

Pass types

435CB · 30%
61Long Wide · 4%
4Long Central · 0%
718Wide → FB · 50%
222Central · 15%

Sequence success — progression

139progression sequences this season
23%succeed — reach the next third or a shot
40%turned over with nothing to show
CB435 · 30%
left: 252 passes, most from Akpa252right: 183 passes, most from Makosso183
Long Wide61 · 4%
right: 33 passes, most from Danois33left: 28 passes, most from Danois28
Long Central4 · 0%
right: 4 passes, most from Sy4
Wide → FB718 · 50%
left: 368 passes, most from Danois368right: 350 passes, most from Sy350
Central222 · 15%
left: 121 passes, most from Danois121right: 101 passes, most from Danois101
◆ Vision AI Insight
Auxerre progress predominantly down the left, with Danois the busiest midfield outlet (230 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (75%) 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 LW mid → LHS mid (91×) — press that lane and midfield progression stalls.

Decision Quality — not all completed passes are equal

A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.

Excellent (high xT gain)
14%
Progressive
1%
Neutral / sideways
50%
Safe / backward
35%
16% of passes are progressive-or-better; the remaining 84% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.

Carries Map — progressive ball-carries, squad-wide

The question
Where does Auxerre actually progress the ball with their feet, not a pass?

197 progressive carries this season across the whole squad (26% of 754 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 49m. Most active carrier: Ahamada (30). Filter to one player below.

First (62)Second (49)Third (45)Fourth (41)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 Auxerre'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.

98shots
9.9xG
0.10xG per shot
5big chances (0.3+ xG)
11goals
#7key passes / game in the league
#17box entries / game in the league
Attacking transition: 29 shots (30%)30%29Settled attack: 55 shots (56%)56%55Set piece: 14 shots (14%)14%1498SHOTS
Kind of attack, then how the shot was set upShotsGoalsxGxG / shot
Attacking transition 30% of shots2922.800.10
Cross200.120.06
Cut-back100.070.07
Long ball200.320.16
Pass into the box / short pass1511.620.11
Own creation (carry, dribble, rebound)910.680.08
Settled attack 56% of shots5585.010.09
Cross600.470.08
Cut-back1001.130.11
Long ball420.380.10
Pass into the box / short pass2652.290.09
Own creation (carry, dribble, rebound)910.730.08
Set piece 14% of shots1412.130.15
Corner1301.330.10
Penalty110.790.79

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

PlayerSet-upsxG createdGoals
Kévin Danois131.521
Romain Faivre90.862
Danny Namaso100.822
Rayan Mandengue20.671
Christ Makosso20.411

Who takes them

PlayerShotsxGGoals
Danny Namaso172.693
Cameron Archer141.645
Romain Faivre141.161
Lamine Sy61.001
Rémy Labeau Lascary90.821
Vision AI Model Insight
The biggest source of Auxerre's chances, by xG, is settled attack (5.0 of 9.9 xG, 55 of 98 shots), mostly pass into the box / short pass. 29 of the 98 shots (30%) came within 15 seconds of winning the ball. 14 of the 98 shots came from set pieces; 11 goals from 9.9 xG (+1.1).

Chance Creation — the pass map

The football question
How does Auxerre 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

5CB · 7%
5Long Wide · 7%
8Long Central · 11%
31Wide → FB · 42%
25Central · 34%

Sequence success — final-third

101final-third sequences this season
20%succeed — produce a shot
35%turned over with nothing to show

Danger Funnel — which service carries threat

Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.

0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB5 · 7%
right: 3 passes, most from Makosso3left: 2 passes, most from Akpa2
Long Wide5 · 7%
left: 3 passes, most from Danois3right: 2 passes, most from Danois2
Long Central8 · 11%
left: 4 passes, most from Faivre4right: 4 passes, most from Faivre4
Wide → FB31 · 42%
left: 17 passes, most from Namaso17right: 14 passes, most from Ahamada14
Central25 · 34%
left: 17 passes, most from Danois17right: 8 passes, most from Danois8

Who creates — volume × threat

16Faivre
13Danois
10Namaso
8Ahamada
4Oppegård
4Sy
3Archer
74key passes #7 of 18
10.1box entries/game #17 of 18
29.9final-3rd entries/game #13 of 18
1.24xG/game #12 of 18
11goals #8 of 18
+1.1finishing vs xG #7 of 18
◆ Vision AI Insight
Auxerre lean left — 43% of their key passes come from that flank and its half-space (32 of 74), most often from Namaso (9). They funnel chances into the c of the final third, most often via LHS att → C att (9 key passes, most often from Danois). Faivre is the primary source overall. They generate 1.24 xG a game and finish it clinical — they beat their xG, led by Cameron Archer (5G), Danny Namaso (3G), Romain Faivre (1G).

Crosses & Cutbacks — squad-wide

The question
How does Auxerre deliver into the box from wide areas, and what comes of it?

92 crosses: 26 found a team-mate (28%), 7 led to a shot (8%). 26 cut-backs: 12 found a team-mate (46%), 9 led to a shot (35%). 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 Auxerre actually cross from?

92 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. 23% come from one territory, the byline right wing; 2 come from the half-spaces and 0 from the centre.

deep right wing: 6 crosses (7%)7%6deep right half-space: 0 crosses (0%)deep centre: 0 crosses (0%)deep left half-space: 0 crosses (0%)deep left wing: 13 crosses (14%)14%13advanced right wing: 15 crosses (16%)16%15advanced right half-space: 1 crosses (1%)1%1advanced centre: 0 crosses (0%)advanced left half-space: 0 crosses (0%)advanced left wing: 15 crosses (16%)16%15byline right wing: 21 crosses (23%)23%21byline right half-space: 0 crosses (0%)byline centre: 0 crosses (0%)byline left half-space: 1 crosses (1%)1%1byline left wing: 20 crosses (22%)22%20
TerritoryCrossesShareLed to a shot
byline · right wing2123%1
byline · left wing2022%1
advanced · right wing1516%1
advanced · left wing1516%3
deep · left wing1314%0
deep · right wing67%1
advanced · right half-space11%0
byline · left half-space11%0
Finishing3 sections

Shot Map

98 shots for 9.9 xG (1.24/game, #12 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.

Moderate attack. 12.2 shots/game at 0.101 xG/shot. Box entries 10/game (#17). Threat created 9.4 xT/game (#16).

Goal Sequences

The move behind each of Auxerre’s 12 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 — 12 goals traced.

How Do They Score?

The question
Where do the goals actually come from — open play, dead balls, which foot?

Every goal Auxerre scored across the loaded matches, broken down by how it was created and finished.

By situation

Open play
10 · 91%
Set pieces
0 · 0%
Penalties
1 · 9%

By finish

Right foot
7 · 64%
Left foot
3 · 27%
Header
1 · 9%
Vision AI Model Insight
11 goals scored. 91% come in open play; set pieces add 0%. 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

40 of 143 pass attempts lost here (28%).28%40/143Sy34 of 150 pass attempts lost here (23%).23%34/150Makosso82 of 360 pass attempts lost here (23%).23%82/360Diop22 of 159 pass attempts lost here (14%).14%22/159Akpa45 of 150 pass attempts lost here (30%).30%45/150Akpa63 of 317 pass attempts lost here (20%).20%63/317Sy35 of 267 pass attempts lost here (13%).13%35/267Danois60 of 422 pass attempts lost here (14%).14%60/422Danois48 of 376 pass attempts lost here (13%).13%48/376Akpa65 of 329 pass attempts lost here (20%).20%65/329Akpa60 of 207 pass attempts lost here (29%).29%60/207Sy50 of 125 pass attempts lost here (40%).40%50/125Sy23 of 83 pass attempts lost here (28%).28%23/83Danois36 of 143 pass attempts lost here (25%).25%36/143Faivre57 of 254 pass attempts lost here (22%).22%57/254Faivreattacking →

How they lose it

Incomplete pass — attacking third
226
Failed forward pass
144
Failed take-on
110
Lost in the defensive third
223
Their weakest zone is the right half-space in the attacking third: 40% of 125 pass attempts there are lost (50 times). Separately, 31% 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 Auxerre 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.

43
Pressing Index
/100 · average
Intensity37
PPDA, high-press share, high-zone actions
Height22
how high up the pitch they defend
Effectiveness56
high recoveries & high-regain share
Disruption53
opponent completion & progression allowed

Every defensive action & where it happens

Where they win the ball back — by lane

RW
20%
RHS
20%
C
23%
LHS
21%
LW
17%
By third (high / mid / low regain)
Def 50%
Mid 36%
Att 14%
Read
Ranked #9 of 18 for press intensity, this is a high press. 50% of defensive actions happen in the middle & attacking thirds, at an average height of 37. Of recoveries, 52% are won high up the pitch.

Every pressing metric, ranked in the league

metricvaluerankmeaning
PPDA (opp passes per def action)—#9/18lower = more intense; rank is what matters
Defensive actions / game166#3/18
High-press share22%#13/18def actions won high up
Defensive-action height (0–100)37.2#14/18avg pitch height of actions
High recoveries / game24.2#5/18ball won in mid+att third
High-recovery share52%#11/18share of recoveries won high
Opponent completion allowed81%#2/18lower = more disruptive
Opponent progressive allowed9.4%#15/18of 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 Auxerre win it back with a defensive action?

Counted over the 294 opposition possessions that Auxerre 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 Auxerre step in. Auxerre win it after 7.0 opponent passes in the first half-hour and after 4.9 after the hour mark (sooner).

PASSES THEY GET
5.4passes
median 3 · before Auxerre win it
TIME THEY KEEP IT
17sec
median 8s · 36.8 wins per game
How many passes the opponent got in before the ball was won
41%
29%
16%
15%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.3
20s
15–30′
7.9
24s
30–45+′
4.5
15s
45–60′
4.4
12s
60–75′
5.4
18s
75–90+′
4.5
13s
average passesaverage seconds

Attitude in each third

Every other style number here says how much Auxerre 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 Auxerre 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) 962 passes

less recycling

Width of use+0.1521.31
Wide-channel share+0.160.32
Side bias+0.060.38
Pass length+0.1323.19
Long-ball share+0.160.25
Forward gain per pass+0.4313.31
Backward-pass share-0.870.16
Deep-pass share+0.280.31
Completion-0.370.76
Seconds between passes+0.083.38
Side used

left 28% · central 44% · right 27%

Progression (middle third) 1,711 passes

nothing unusual in this zone

Width of use-0.5124.48
Wide-channel share-0.170.39
Side bias+0.341.39
Pass length-0.0917.10
Long-ball share+0.450.12
Forward gain per pass+0.644.58
Backward-pass share-0.710.30
Deep-pass share+0.460.18
Completion-0.150.83
Seconds between passes-0.443.00
Side used

left 36% · central 32% · right 32%

Final third 812 passes

nothing unusual in this zone

Width of use-0.0631.45
Wide-channel share-0.010.58
Side bias+0.462.77
Pass length-0.5914.55
Long-ball share-0.310.09
Forward gain per pass-0.730.07
Backward-pass share+0.260.40
Deep-pass share-0.550.07
Completion+0.230.72
Seconds between passes-0.033.38
Side used

left 46% · central 15% · right 39%

Reference measured across roughly 3,500 match-teams in this competition, per third, so the comparison is with Auxerre'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 Auxerre 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 share18%
#6 of 18 · reaches final third in ≤3 passes
Patient build-up share22%
#17 of 18 · spells of 6+ passes
Tempo (possession length)16.1s
#4 of 18 · shorter = faster tempo
Passes per possession3.9
#16 of 18
Counter-attack shots /game1.21
#5 of 18 · shot within 12s of a regain in own half
Press→shot /game3.24
#9 of 18 · shot within 8s of a high regain
Speed to final third after regain10.3s
#2 of 18 · lower = faster break

Sequence success — attacking transition

8attacking transition sequences this season
25%succeed — produce a shot
62%turned over with nothing to show

Sequence success — defensive transition

31defensive transition sequences this season
81%succeed — reach the next third or a shot
10%turned over with nothing to show
Vision AI Model Insight
Auxerre are a direct, fast-break side: 18% of possessions reach the final third in 3 passes or fewer (#6 of 18), against 22% built patiently over 6+ passes (#17 of 18). Winning the ball back leads to a shot inside 12 seconds 1.21 times a game (#5), and a high regain converts to a shot within 8 seconds 3.24 times a game (#9 of 18) — 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 Auxerre? 381 opponent progressive passes and 115 shots faced (12.9 xG against) across the season.

Opponent threat by lane (attacking into Auxerre)

Right wing
34%
Right half-space
12%
Central
18%
Left half-space
10%
Left wing
26%
Where the danger came from. Opponents generated most of their threat through the right wing (34% of the danger conceded).

How Do They Concede?

The question
Where do the goals against Auxerre actually come from — open play, dead balls, and who supplies them?

Every goal Auxerre conceded across the loaded matches — the opponent's shots in Auxerre'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 (81 total)

1%2%7%1%1%1%25%14%19%20%9%Elye WahiJonathan ClaussAxel WitselMohammed AmouraJonathan ClaussElye WahiCorentin TolissoTyler MortonZachary AthekameErnest NuamahAbner ViníciusLoïs OpendaAbner ViníciusZachary AthekamePavel SulcTyler MortonCorentin TolissoCorentin TolissoZachary AthekameCorentin TolissoKhalis MerahTanner TessmannCarlens ArcusBranco van den BoomenAmine SbaïAnthony BermontBranco van den BoomenYassin BelkhdimJim AllevinahHarouna DjibirinOusmane CamaraProsper PeterCharlie CresswellBryan ReynoldsAboubakar NagidaAboubakar NagidaAnthony RouaultBryan ReynoldsAdrien ThomassonMousa Al TamariValentin RongierEliezer MayendaDjaoui CisséAboubakar NagidaLudovic BlasLudovic BlasBryan ReynoldsLucas BretelleLucas CalodatLucas BretelleLucas BretelleJean VercruysseDaouda TraoréLouis MafoutaDjibril OuziadAmir RichardsonRassoul NdiayeSota NakamuraDjibril OuziadAmir RichardsonDjibril OuziadHakim DongopandjiEnzo KoffiAmir RichardsonFranjo IvanovicAbdallah SimaIsmaëlo GaniouMatthieu UdolAbdallah SimaFlorian ThauvinThorgan HazardMichal SkórasMatthieu UdolMichal SkórasLudovic AjorqueKenny LalaPathé MboupJoris ChotardJoris ChotardRaphaël Le GuenJoris Chotard← own goal

By situation

Open play
12 · 67%
Set pieces
4 · 22%
Penalties
2 · 11%
Vision AI Model Insight
18 goals conceded. 67% come in open play; set pieces account for only 22%, 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 right wing of the attacking third (25% 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
10 g · 7.8 xG
Set pieces
0 g · 1.3 xG
Penalties
1 g
0% of goals come from set pieces (0 of 11), worth 1.3 xG from 13 shots. Set pieces are a secondary threat; the danger is in open play.

Where do Auxerre's corners go?

46 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 (27)

15%7%19%15%7%4%19%4%4%
Delivered into the box 93%Short 7%

Left side (19)

21%16%21%21%16%5%
Delivered into the box 100%Short 0%

Where opponents attack Auxerre from set pieces

23 shots from opponent corners against Auxerre, 4 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 (14)

14%7%29%36%7%7%
Shot 14Goals 2

Left flag (9)

11%56%22%11%
Shot 9Goals 2

Tactical Strengths & Weaknesses

Strengths (top-third vs league)
  • none stand out
Weaknesses (bottom-third vs league)
  • box entries /game — 10.12 (6th pct)
  • threat created /game — 9.43 (11th pct)
  • pass retention % — 79.34 (11th pct)
  • xG conceded /game — 1.62 (28th pct)
  • progression /game — 42.00 (28th 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.

Le Mans
87%
Troyes
68%
Angers
67%
Le Havre
42%
Strasbourg
20%

Performance vs Opponent Styles

The question
Not just how Auxerre 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 Auxerre's own passing behaviour to the result.

Results

opponent typegoals for/ggoals against/gpoints/g
vs high-pressing opponents (2m)1.001.501.50
vs mid-block opponents (2m)2.501.003.00
vs low-block opponents (4m)1.253.250.25

Behaviour — how Auxerre actually play against each

opponent typeretentiondirectness (long balls)prog. passes/gxT/gbox entries/g
vs high-pressing opponents72%19%407.77.0
vs mid-block opponents81%13%479.59.0
vs low-block opponents81%13%4110.312.2
Vision AI Model Insight
Facing a high press, retention drops to 72% vs 81% against a low block (9pt lower under pressure), and directness (long-ball share) sits at 19% when pressed vs 13% 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. Auxerre are balanced-territory with a aggressive high-press. Their attack creates 1.24 xG a game and they concede 1.62 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 Auxerre’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.

Auxerre
across 8 matches this season
Progressive carriesvs Angers · 1-3 · 2026-08-2966avg 40
Final-third entriesvs Angers · 1-3 · 2026-08-2963avg 39
Pass accuracyvs Nice · 1-0 · 2026-09-1268%avg 79%
Threat from passingvs Angers · 1-3 · 2026-08-298.10avg 5.26
Progressive passesat Lens · 2-5 · 2026-08-2227avg 42
PPDAat Lyon · 1-3 · 2026-09-049.0avg 5.7
Defensive actionsat Le Havre · 3-1 · 2026-10-18194avg 166
Passesat Lyon · 1-3 · 2026-09-04321avg 436

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 Auxerre’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).

+11.9on-ball value, 8 matches
Where the value came from
Passes3485 actions+3.31
Carries754 actions+0.45
Dribbles209 actions+0.36
Shots98 actions+5.59
Ball wins531 actions+2.20
Most on-ball value (OBV)ActionsOBVper 100
Danny Namaso350+2.14+0.61
Kévin Danois676+1.21+0.18
Cameron Archer185+1.17+0.63
Clément Akpa565+0.93+0.17
Romain Faivre434+0.87+0.20
Sinaly Diomandé122+0.77+0.63
Lamine Sy518+0.72+0.14
Rayan Mandengue52+0.67+1.30
123456
Biggest single movesOBV
1  Danny Namaso · shot+0.858
2  Sinaly Diomandé · shot+0.626
3  Rayan Mandengue · pass+0.475
4  Rémy Labeau Lascary · shot+0.293
5  Axel Tuanzebe · shot+0.282
6  Danny Namaso · shot+0.269

Set Pieces by Player

Who delivers Auxerre’s dead balls and who finishes them this season. 46 corners taken, most by Romain Faivre (27); 13 shots from corners and free kicks, 0 goals. “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
Romain Faivre2721 (78%)——0.00——
Arthur Piedfort87 (88%)1—0.03——
Danny Namaso11 (100%)2—0.21—1/1
Axel Tuanzebe——3—0.30——
Kévin Danois55 (100%)1—0.03——
Naouirou Ahamada20 (0%)1—0.03——
Christ Makosso——1—0.04——
Clément Akpa——1—0.09——
Sinaly Diomandé——1—0.58——
Lamine Sy——1—0.02——
Pierre Ekwah——1—0.02——
Aristide Zossou21 (50%)——0.00——
Lamfia Dioubaté10 (0%)——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.

playerposminVision AI Scorecapability blocks
Kévin DanoisCM7558.0Successful Dribble 87%Ball-Carrying 73%Progression 68%Chance Creation 60%
Cameron ArcherST5415.3Ball-Carrying 59%Finishing 49%Box Threat 33%Aerial Threat 0%
Lamine SyCM7345.0Ball-Carrying 62%Successful Dribble 57%Progression 49%Chance Creation 34%
Romain FaivreAM5074.9Ball-Carrying 66%Box Threat 33%Chance Creation 29%
Christ MakossoCB5754.5Breaking Pressure 64%Ball-Winning 48%Aerial & Box Defending 46%Progression 32%
Arthur PiedfortCM4813.2Successful Dribble 46%Progression 38%Ball-Carrying 24%Chance Creation 18%
Danny NamasoAM6613.0Box Threat 64%Ball-Carrying 23%Chance Creation 11%
Naouirou AhamadaCM5592.6Ball-Carrying 79%Successful Dribble 68%Progression 42%Chance Creation 21%
Clément AkpaCB7502.5Breaking Pressure 68%Progression 59%Ball-Winning 42%Ball-Carrying 38%
Axel TuanzebeCB4762.1Aerial & Box Defending 44%Breaking Pressure 39%Ball-Winning 31%Progression 12%

Top Creators

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

playerposminkey P /90box entriesxT
Romain FaivreM5072.84157.0
Kévin DanoisM7551.551010.1
Danny NamasoM6611.3674.3
Naouirou AhamadaM5591.2995.1
Lamine SyM7340.4997.2
Fredrik OppegårdM5070.7164.4
Arthur PiedfortM4810.3754.9
Clément AkpaD7500.24411.0

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)
Aristide ZossouW1612 (50%)4 (25%)
Rémy Labeau LascaryW2581 (0%)3 (100%)

Defensive Volume Leaders

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

playerposmindef actionstacklesinterceptrecoveries
Kévin DanoisM755154231045
Clément AkpaD750145111039
Lamine SyM73412615950
Danny NamasoM66111813230
Axel TuanzebeD4761163523
Christ MakossoD5751126920
Fredrik OppegårdM507785817
Arthur PiedfortM4817771124

Full Squad Data

Every player with 100+ minutes (18 players).

playerposappsmingoalsxGkey PprogdefxT
Kévin DanoisM875500.3134015410.1
Clément AkpaD875000.325814511.0
Lamine SyM873411.04451267.2
Danny NamasoM866132.710151184.3
Mamadou DiopG657600.0117144.0
Christ MakossoD657500.02171124.3
Naouirou AhamadaM855900.2820705.1
Cameron ArcherF654151.638571.4
Romain FaivreM850711.21630657.0
Fredrik OppegårdM650700.0428784.4
Arthur PiedfortM848100.1220774.9
Axel TuanzebeD547600.4161162.7
Rémy Labeau LascaryF525810.826360.7
Sinaly DiomandéD219900.603341.8
Paul NardiG219300.00661.5
Elikya LegrosD517400.005421.2
Aristide ZossouF516100.214121.2
Rayan MandengueM510700.123300.6

Player Role Architecture

The question
Who does what — and what tactical job does each key player actually perform?

The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.

Kévin Danois
Ball-winner / destroyer · Midfielder
minutes755
goals · xG0 · 0.3
prog passes /904.8
key passes /901.55
def actions /9018.4
pass accuracy82%
Clément Akpa
Ball-playing defender · Defender
minutes750
goals · xG0 · 0.3
prog passes /907.0
key passes /900.24
def actions /9017.4
pass accuracy79%
Lamine Sy
Box-to-box midfielder · Midfielder
minutes734
goals · xG1 · 1.0
prog passes /905.5
key passes /900.49
def actions /9015.4
pass accuracy76%
Danny Namaso
Ball-winner / destroyer · Midfielder
minutes661
goals · xG3 · 2.7
prog passes /902.0
key passes /901.36
def actions /9016.1
pass accuracy81%
Mamadou Diop
Goalkeeper · Goalkeeper
minutes576
goals · xG0 · 0.0
prog passes /902.7
key passes /900.16
def actions /902.2
pass accuracy59%
Christ Makosso
Stopper / marker · Defender
minutes575
goals · xG0 · 0.0
prog passes /902.7
key passes /900.31
def actions /9017.5
pass accuracy78%
Naouirou Ahamada
Ball-winner / destroyer · Midfielder
minutes559
goals · xG0 · 0.2
prog passes /903.2
key passes /901.29
def actions /9011.3
pass accuracy84%
Cameron Archer
Ball-winner / destroyer · Midfielder
minutes541
goals · xG5 · 1.6
prog passes /901.3
key passes /900.50
def actions /909.5
pass accuracy76%
Fredrik Oppegård
Ball-winner / destroyer · Midfielder
minutes507
goals · xG0 · 0.0
prog passes /905.0
key passes /900.71
def actions /9013.8
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: box entries /game (6th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (10.12, 6th percentile vs the league).
Need — bottom-third: threat created /game (11th pct)
Sign a threat-generating creator between the lines. The data flags this because little threat is manufactured (9.43, 11th percentile vs the league).
Need — bottom-third: pass retention % (11th pct)
Sign a secure ball-retaining midfielder. The data flags this because possession is turned over cheaply (79.34, 11th percentile vs the league).
Vision AI · building report