Combining every season — this one is larger, give it a moment.
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.
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.
#
team
P
W
D
L
GF
GA
GD
Pts
9
Lorient
8
3
3
2
7
6
+1
12
10
Nice
8
3
2
3
8
10
-2
11
11
Toulouse
8
2
4
2
12
11
+1
10
12
Auxerre
8
3
1
4
12
18
-6
10
13
Brest
8
2
3
3
14
12
+2
9
14
Angers
8
2
2
4
9
15
-6
8
15
Le Mans
8
1
4
3
11
16
-5
7
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)
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.
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).
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.
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.
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.
Phase
Share of the time
Build-up
19.3%
Progression
49.3%
Chance creation
28.7%
Attacking transition
2.7%
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.
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
Carries
the ball moved with a player
754
ACTIONS
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.
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.
Channel
Entries
Per match
Share
League share
Left wing
80
10.0
26%
30%
Left half-space
53
6.6
17%
13%
Centre
38
4.8
12%
11%
Right half-space
53
6.6
17%
14%
Right wing
89
11.1
28%
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%
Long Wide52 · 7%
Long Central7 · 1%
Wide → FB285 · 39%
Central78 · 11%
◆ 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.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 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%
Long Wide61 · 4%
Long Central4 · 0%
Wide → FB718 · 50%
Central222 · 15%
◆ 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.
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
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition30% of shots
29
2
2.80
0.10
Cross
2
0
0.12
0.06
Cut-back
1
0
0.07
0.07
Long ball
2
0
0.32
0.16
Pass into the box / short pass
15
1
1.62
0.11
Own creation (carry, dribble, rebound)
9
1
0.68
0.08
Settled attack56% of shots
55
8
5.01
0.09
Cross
6
0
0.47
0.08
Cut-back
10
0
1.13
0.11
Long ball
4
2
0.38
0.10
Pass into the box / short pass
26
5
2.29
0.09
Own creation (carry, dribble, rebound)
9
1
0.73
0.08
Set piece14% of shots
14
1
2.13
0.15
Corner
13
0
1.33
0.10
Penalty
1
1
0.79
0.79
Every attempt to create — and what came of it
Every pass into the box, every cut-back and every pass before a shot. Red led to a shot, gold to a goal; grey ones were tried but no shot came: solid found a team-mate, dashed lost the ball. Filter by outcome, type or player; tap an arrow for the detail.
Who sets the shots up
Player
Set-ups
xG created
Goals
Kévin Danois
13
1.52
1
Romain Faivre
9
0.86
2
Danny Namaso
10
0.82
2
Rayan Mandengue
2
0.67
1
Christ Makosso
2
0.41
1
Who takes them
Player
Shots
xG
Goals
Danny Namaso
17
2.69
3
Cameron Archer
14
1.64
5
Romain Faivre
14
1.16
1
Lamine Sy
6
1.00
1
Rémy Labeau Lascary
9
0.82
1
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%
Long Wide5 · 7%
Long Central8 · 11%
Wide → FB31 · 42%
Central25 · 34%
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.
Territory
Crosses
Share
Led to a shot
byline · right wing
21
23%
1
byline · left wing
20
22%
1
advanced · right wing
15
16%
1
advanced · left wing
15
16%
3
deep · left wing
13
14%
0
deep · right wing
6
7%
1
advanced · right half-space
1
1%
0
byline · left half-space
1
1%
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
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.
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
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#9/18
lower = more intense; rank is what matters
Defensive actions / game
166
#3/18
High-press share
22%
#13/18
def actions won high up
Defensive-action height (0–100)
37.2
#14/18
avg pitch height of actions
High recoveries / game
24.2
#5/18
ball won in mid+att third
High-recovery share
52%
#11/18
share of recoveries won high
Opponent completion allowed
81%
#2/18
lower = more disruptive
Opponent progressive allowed
9.4%
#15/18
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before 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
Every opponent key pass against them (81 total)
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.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
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)
Delivered into the box 93%Short 7%
Left side (19)
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)
Shot 14Goals 2
Left flag (9)
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 type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
1.00
1.50
1.50
vs mid-block opponents (2m)
2.50
1.00
3.00
vs low-block opponents (4m)
1.25
3.25
0.25
Behaviour — how Auxerre actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
72%
19%
40
7.7
7.0
vs mid-block opponents
81%
13%
47
9.5
9.0
vs low-block opponents
81%
13%
41
10.3
12.2
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.]
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.
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)
Actions
OBV
per 100
Danny Namaso
350
+2.14
+0.61
Kévin Danois
676
+1.21
+0.18
Cameron Archer
185
+1.17
+0.63
Clément Akpa
565
+0.93
+0.17
Romain Faivre
434
+0.87
+0.20
Sinaly Diomandé
122
+0.77
+0.63
Lamine Sy
518
+0.72
+0.14
Rayan Mandengue
52
+0.67
+1.30
Biggest single moves
OBV
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.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Romain Faivre
27
21 (78%)
—
—
0.00
—
—
Arthur Piedfort
8
7 (88%)
1
—
0.03
—
—
Danny Namaso
1
1 (100%)
2
—
0.21
—
1/1
Axel Tuanzebe
—
—
3
—
0.30
—
—
Kévin Danois
5
5 (100%)
1
—
0.03
—
—
Naouirou Ahamada
2
0 (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 Zossou
2
1 (50%)
—
—
0.00
—
—
Lamfia Dioubaté
1
0 (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.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Romain Faivre
M
507
2.84
15
7.0
Kévin Danois
M
755
1.55
10
10.1
Danny Namaso
M
661
1.36
7
4.3
Naouirou Ahamada
M
559
1.29
9
5.1
Lamine Sy
M
734
0.49
9
7.2
Fredrik Oppegård
M
507
0.71
6
4.4
Arthur Piedfort
M
481
0.37
5
4.9
Clément Akpa
D
750
0.24
4
11.0
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.
player
pos
min
crosses (completed)
cutbacks (completed)
Aristide Zossou
W
161
2 (50%)
4 (25%)
Rémy Labeau Lascary
W
258
1 (0%)
3 (100%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Kévin Danois
M
755
154
23
10
45
Clément Akpa
D
750
145
11
10
39
Lamine Sy
M
734
126
15
9
50
Danny Namaso
M
661
118
13
2
30
Axel Tuanzebe
D
476
116
3
5
23
Christ Makosso
D
575
112
6
9
20
Fredrik Oppegård
M
507
78
5
8
17
Arthur Piedfort
M
481
77
7
11
24
Full Squad Data
Every player with 100+ minutes (18 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Kévin Danois
M
8
755
0
0.3
13
40
154
10.1
Clément Akpa
D
8
750
0
0.3
2
58
145
11.0
Lamine Sy
M
8
734
1
1.0
4
45
126
7.2
Danny Namaso
M
8
661
3
2.7
10
15
118
4.3
Mamadou Diop
G
6
576
0
0.0
1
17
14
4.0
Christ Makosso
D
6
575
0
0.0
2
17
112
4.3
Naouirou Ahamada
M
8
559
0
0.2
8
20
70
5.1
Cameron Archer
F
6
541
5
1.6
3
8
57
1.4
Romain Faivre
M
8
507
1
1.2
16
30
65
7.0
Fredrik Oppegård
M
6
507
0
0.0
4
28
78
4.4
Arthur Piedfort
M
8
481
0
0.1
2
20
77
4.9
Axel Tuanzebe
D
5
476
0
0.4
1
6
116
2.7
Rémy Labeau Lascary
F
5
258
1
0.8
2
6
36
0.7
Sinaly Diomandé
D
2
199
0
0.6
0
3
34
1.8
Paul Nardi
G
2
193
0
0.0
0
6
6
1.5
Elikya Legros
D
5
174
0
0.0
0
5
42
1.2
Aristide Zossou
F
5
161
0
0.2
1
4
12
1.2
Rayan Mandengue
M
5
107
0
0.1
2
3
30
0.6
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).