Combining every season — this one is larger, give it a moment.
Team reportLigue 1 2025/26
Auxerre
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #13 of 20 on 44 points (11-11-20, 46:62). Tactical profile below is built from 42 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 finished #13 of 20 on 44 points (11W-11D-20L, 1.05 pts/game), scoring 46 and conceding 62 for a goal difference of -16.
On the ball they are a balanced-territory team (49% field tilt, #10 in the league); off it they defend with a aggressive high-press (#13 of 20 for press intensity).
Across the 42 matches of event data, they create 1.05 xG/game (#17) and concede 1.34 (#12), a net of -0.29 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
10
Lorient
42
14
15
13
55
57
-2
57
11
Toulouse
42
14
13
15
59
57
+2
55
12
Brest
42
12
12
18
57
67
-10
48
13
Auxerre
42
11
11
20
46
62
-16
44
14
Angers
42
11
11
20
38
63
-25
44
15
Nice
42
10
13
19
45
70
-25
43
16
Le Havre
42
7
16
19
40
59
-19
37
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 stay fairly even across both halves — first-half net xG -5.97, second-half -6.14. Their strongest period is 31-45' (net +0.90 xG); their most dangerous period to face is 0-15' (net -4.71 xG against them).
xG Race — the season, match by match
Expected goals piling up over 42 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 (-12.1 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.
35
Build-Up
possession control from the back
40
Progression
moving the ball upfield with threat
15
Creation
manufacturing chances
42
Press
winning the ball high & hard
40
Solidity
resisting the opponent's threat
Genetic identity
Auxerre are defined most by their Press DNA (42/100 · average at winning the ball high & hard), and least by their Creation DNA (15/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
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 49% field tilt, ranking #10 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.05 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 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
23.6%
Progression
47.7%
Chance creation
26.7%
Attacking transition
2.0%
Vision AI Model Insight
Progression is where Auxerre spends most of its time on the ball (48% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Mensah ↔ Danois
369p · 14.4xT
Mensah ↔ Akpa
266p · 10.7xT
Sinayoko ↔ Danois
230p · 16.5xT
Namaso ↔ Mensah
217p · 14.0xT
Namaso ↔ Danois
208p · 10.1xT
Diomandé ↔ Akpa
197p · 2.4xT
Danois ↔ Akpa
182p · 7.8xT
Diomandé ↔ Danois
182p · 6.4xT
Léon ↔ Akpa
181p · 6.9xT
Owusu ↔ Danois
180p · 5.0xT
Vision AI Model Insight
Busiest connection: Gideon Mensah ↔ Kévin Danois (369 passes). Most dangerous per pass: Gideon Mensah ↔ Lassine Sinayoko (0.09 xT/pass over 127 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 378 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
17458
ACTIONS
Carries
the ball moved with a player
4156
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left wing of the middle third (10.9% of all actions). 58% of actions run through the inside lanes (centre + both half-spaces) versus 42% down the two wings — an inside-dominant, half-space build. By third: 28% defensive, 49% 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 (42%). The bars under the pitch put the league’s share beside theirs.
Auxerre
42%22%36%
League
39%22%39%
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 1600 this season (38.1 a match); 30% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
484
11.5
30%
30%
Left half-space
272
6.5
17%
15%
Centre
172
4.1
11%
11%
Right half-space
224
5.3
14%
14%
Right wing
448
10.7
28%
31%
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.
5107build-up passes attempted
75%completed
32%reach the middle third
2%go long into the final third
Pass types
1473CB · 39%
349Long Wide · 9%
46Long Central · 1%
1562Wide → FB · 41%
379Central · 10%
Sequence success — build-up
986build-up sequences this season
8%succeed — reach the next third or a shot
43%turned over with nothing to show
CB1473 · 39%
Long Wide349 · 9%
Long Central46 · 1%
Wide → FB1562 · 41%
Central379 · 10%
◆ Vision AI Insight
Auxerre build predominantly down the left, with Akpa as the fulcrum (497 build-up passes). Only 34% 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 (227×).
Pass Explorer
Every pass of Auxerre’s last 10 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. 1770 progressive passes across 42 matches (42.1/game).
Origin lane
Right wing
27%
Right half-space
12%
Central
15%
Left half-space
14%
Left wing
32%
Progression is left-dominant: 39% right side · 15% central · 46% left.
Who generates it
Gideon Mensah
233 · 13%
Kévin Danois
194 · 11%
Clément Akpa
165 · 9%
Donovan Léon
145 · 8%
Lamine Sy
145 · 8%
Top two — Gideon Mensah & Kévin Danois — account for 24% of all progression.
PROGRESSION
42.1 prog passes/game
mostly left
→
PENETRATION
31% reach final third
17% reach the box
→
THREAT
the other 69% is recycled
progress ≠ danger
What came of it.31% of progressive passes reached the final third and 17% 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 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.
8368progression passes attempted
84%completed
17%break into the final third
13%go backward into the defensive third
Pass types
1774CB · 25%
326Long Wide · 5%
43Long Central · 1%
3878Wide → FB · 55%
1042Central · 15%
Sequence success — progression
1627progression sequences this season
27%succeed — reach the next third or a shot
41%turned over with nothing to show
CB1774 · 25%
Long Wide326 · 5%
Long Central43 · 1%
Wide → FB3878 · 55%
Central1042 · 15%
◆ Vision AI Insight
Auxerre progress predominantly down the left, with Danois the busiest midfield outlet (1041 progression passes). Only 17% of passes that start in midfield actually break the final-third line — the rest (70%) 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 LW mid → LHS mid (412×) — 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)
15%
Progressive
1%
Neutral / sideways
48%
Safe / backward
36%
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?
918 progressive carries this season across the whole squad (23% of 3950 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 55m. Most active carrier: Danois (100). Filter to one player below.
First (291)Second (214)Third (208)Fourth (205)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.
462shots
44.1xG
0.10xG per shot
15big chances (0.3+ xG)
41goals
#15key 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 transition33% of shots
154
8
15.13
0.10
Cross
13
0
1.44
0.11
Cut-back
6
1
1.22
0.20
Long ball
14
1
1.64
0.12
Pass into the box / short pass
71
3
6.57
0.09
Own creation (carry, dribble, rebound)
50
3
4.26
0.09
Settled attack47% of shots
216
24
17.83
0.08
Cross
33
0
3.29
0.10
Cut-back
23
3
2.60
0.11
Long ball
12
4
0.93
0.08
Pass into the box / short pass
109
13
7.98
0.07
Own creation (carry, dribble, rebound)
39
4
3.02
0.08
Set piece20% of shots
92
9
11.18
0.12
Corner
81
5
6.26
0.08
Free kick
5
0
0.15
0.03
Penalty
6
4
4.76
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
Lassine Sinayoko
37
4.25
4
Kévin Danois
45
3.98
1
Danny Namaso
40
3.38
5
Lamine Sy
18
1.76
1
Gideon Mensah
15
1.53
2
Who takes them
Player
Shots
xG
Goals
Lassine Sinayoko
92
10.95
12
Danny Namaso
79
8.32
6
Sékou Mara
33
3.08
3
Josué Casimir
24
2.84
1
Sinaly Diomandé
11
2.48
2
Vision AI Model Insight
The biggest source of Auxerre's chances, by xG, is settled attack (17.8 of 44.1 xG, 216 of 462 shots), mostly pass into the box / short pass. 154 of the 462 shots (33%) came within 15 seconds of winning the ball. 92 of the 462 shots came from set pieces; 41 goals from 44.1 xG (-3.1).
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
24CB · 7%
24Long Wide · 7%
36Long Central · 11%
130Wide → FB · 40%
114Central · 35%
Sequence success — final-third
936final-third sequences this season
21%succeed — produce a shot
39%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
CB24 · 7%
Long Wide24 · 7%
Long Central36 · 11%
Wide → FB130 · 40%
Central114 · 35%
Who creates — volume × threat
64Danois
40Namaso
36Sinayoko
26Faivre
17Sy
16Mensah
15Oppegård
328key passes #15 of 20
9.4box entries/game #17 of 20
30.2final-3rd entries/game #11 of 20
1.05xG/game #17 of 20
41goals #13 of 20
-3.1finishing vs xG #12 of 20
◆ Vision AI Insight
Auxerre lean left — 41% of their key passes come from that flank and its half-space (135 of 328), most often from Namaso (23). They funnel chances into the c of the final third, most often via RW att → C att (35 key passes, most often from Danois). Danois is the primary source overall. They generate 1.05 xG a game and finish it wasteful — they under-perform their xG, led by Lassine Sinayoko (12G), Danny Namaso (6G), Cameron Archer (5G).
Crosses & Cutbacks — squad-wide
The question
How does Auxerre deliver into the box from wide areas, and what comes of it?
499 crosses: 140 found a team-mate (28%), 48 led to a shot (10%). 94 cut-backs: 34 found a team-mate (36%), 26 led to a shot (28%). 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?
499 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. 27% come from one territory, the byline right wing; 28 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
135
27%
17
byline · left wing
130
26%
9
advanced · left wing
79
16%
12
advanced · right wing
57
11%
1
deep · left wing
40
8%
1
deep · right wing
30
6%
3
byline · right half-space
12
2%
3
advanced · right half-space
6
1%
1
advanced · left half-space
6
1%
0
byline · left half-space
3
1%
1
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
462 shots for 44.1 xG (1.05/game, #17 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 11.0 shots/game at 0.096 xG/shot. Box entries 9/game (#17). Threat created 9.6 xT/game (#15).
Goal Sequences
The move behind each of Auxerre’s 46 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 — 46 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
32 · 78%
Set pieces
5 · 12%
Penalties
4 · 10%
By finish
Right foot
28 · 68%
Left foot
7 · 17%
Header
6 · 15%
Vision AI Model Insight
41 goals scored. 78% come in open play; set pieces add 12%. 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
1124
Failed forward pass
721
Failed take-on
469
Lost in the defensive third
1298
Their weakest zone is the right wing in the attacking third: 32% of 1093 pass attempts there are lost (354 times). Separately, 30% 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.
40
Pressing Index /100 · passive
Intensity40
PPDA, high-press share, high-zone actions
Height35
how high up the pitch they defend
Effectiveness48
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
20%
RHS
19%
C
21%
LHS
21%
LW
19%
By third (high / mid / low regain)
Def 50%
Mid 37%
Att 12%
Read
Ranked #13 of 20 for press intensity, this is a high press. Note the tension: 50% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (20% high-press share) means that when they do defend, it is often deep. Of recoveries, 53% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#13/20
lower = more intense; rank is what matters
Defensive actions / game
139
#7/20
High-press share
20%
#12/20
def actions won high up
Defensive-action height (0–100)
36.8
#13/20
avg pitch height of actions
High recoveries / game
22.7
#11/20
ball won in mid+att third
High-recovery share
53%
#10/20
share of recoveries won high
Opponent completion allowed
83%
#11/20
lower = more disruptive
Opponent progressive allowed
8.9%
#16/20
of opp passes, lower = better
Transition timing
This source carries per-event timestamps, so genuine transition metrics — counter-attack shots, press→shot conversions, time-to-recover — are measured; see the dedicated Transitions section below.
How long they keep it — passes and seconds until the ball is won
The question
Once the opponent has the ball, how many passes and how many seconds pass before Auxerre win it back with a defensive action?
Counted over the 1443 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 7.1 opponent passes in the first half-hour and after 4.2 after the hour mark (sooner).
PASSES THEY GET
5.5passes
median 3 · before Auxerre win it
TIME THEY KEEP IT
17sec
median 9s · 34.4 wins per game
How many passes the opponent got in before the ball was won
39%
26%
18%
18%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
7.3
22s
15–30′
6.8
21s
30–45+′
6.4
20s
45–60′
4.7
14s
60–75′
4.4
14s
75–90+′
4.0
13s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Auxerre were doing with the
ball, and what the opposition were doing about it at that exact moment. Built from the
real action sequence in time order, so one possession is split across the phases it
genuinely passed through rather than labelled once by where it began.
6,054phase segments analysed
6.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#11of 18 for share of defending spent pressing high
High press 6.8%Mid block 13.0%Low block 48.3%Unopposed 31.9%
What opponents do against Auxerre
The mirror image, and the part no other section can show: whether teams come
out to press Auxerre or sit in and invite them on. A side that is always faced with a low
block is playing a different sport from one that is pressed every week.
High press 10.2%Mid block 14.1%Low block 50.0%Unopposed 25.8%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
2,057
3.5s
2.5
0.3%
53.9%
Progression
2,495
5.8s
3.6
0.5%
46.7%
Chance creation
1,414
5.8s
3.2
23.6%
52.5%
Attacking transition
88
7.1s
4.2
6.8%
38.6%
Most common routes through the phases
How a possession actually travelled, in order. The chain is the tactical signature — a move that climbs all three thirds is a different thing from one that never leaves the first.
Route
Times
Ends in shot
build_up
871
0.2%
progression
620
0.2%
build_up → progression
338
0.3%
progression → chance_creation
318
27.4%
chance_creation
300
35.7%
progression → build_up
148
0.0%
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) 5,107 passes
nothing unusual in this zone
Width of use+0.3721.76
Wide-channel share+0.310.32
Side bias+0.030.27
Pass length+0.6224.92
Long-ball share+0.610.29
Forward gain per pass+0.7514.71
Backward-pass share-0.450.18
Deep-pass share+0.630.35
Completion-0.690.74
Seconds between passes+0.373.55
Side used
left 29% · central 43% · right 28%
Progression (middle third) 8,368 passes
nothing unusual in this zone
Width of use+0.0725.71
Wide-channel share+0.160.41
Side bias+0.662.68
Pass length+0.1817.48
Long-ball share+0.310.11
Forward gain per pass+0.193.89
Backward-pass share+0.080.34
Deep-pass share+0.320.18
Completion-0.090.84
Seconds between passes-0.013.19
Side used
left 38% · central 30% · right 32%
Final third 3,983 passes
nothing unusual in this zone
Width of use+0.2432.21
Wide-channel share+0.380.62
Side bias+0.513.11
Pass length-0.2915.01
Long-ball share-0.180.09
Forward gain per pass-0.550.31
Backward-pass share+0.360.41
Deep-pass share-0.280.08
Completion+0.200.71
Seconds between passes+0.073.45
Side used
left 47% · 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%
#7 of 20 · reaches final third in ≤3 passes
Patient build-up share22%
#18 of 20 · spells of 6+ passes
Tempo (possession length)16.1s
#5 of 20 · shorter = faster tempo
Passes per possession3.9
#17 of 20
Counter-attack shots /game1.21
#5 of 20 · shot within 12s of a regain in own half
Press→shot /game3.24
#9 of 20 · shot within 8s of a high regain
Speed to final third after regain10.3s
#2 of 20 · lower = faster break
Sequence success — attacking transition
161attacking transition sequences this season
19%succeed — produce a shot
44%turned over with nothing to show
Sequence success — defensive transition
387defensive transition sequences this season
64%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 (#7 of 20), against 22% built patiently over 6+ passes (#18 of 20). 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 20) — a modest but real source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Auxerre? 1941 opponent progressive passes and 522 shots faced (56.2 xG against) across the season.
Opponent threat by lane (attacking into Auxerre)
Right wing
32%
Right half-space
13%
Central
14%
Left half-space
13%
Left wing
30%
Where the danger came from. Opponents generated most of their threat through the right wing (32% 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 (358 total)
By situation
Open play
45 · 75%
Set pieces
10 · 17%
Penalties
5 · 8%
Vision AI Model Insight
60 goals conceded. 75% come in open play; set pieces account for only 17%, so dead-ball defending is not the main issue. 18% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (18% 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
32 g · 33.0 xG
Set pieces
5 g · 6.4 xG
Penalties
4 g
12% of goals come from set pieces (5 of 41), worth 6.4 xG from 86 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Auxerre's corners go?
208 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 (112)
Delivered into the box 96%Short 4%
Left side (96)
Delivered into the box 95%Short 5%
Where opponents attack Auxerre from set pieces
97 shots from opponent corners against Auxerre, 9 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 (48)
Shot 48Goals 5
Left flag (49)
Shot 49Goals 4
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
xG created /game — 1.05 (15th pct)
box entries /game — 9.43 (15th pct)
shots /game — 11.00 (15th pct)
pass retention % — 78.65 (20th pct)
threat created /game — 9.60 (25th 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.
Nantes
79%
Le Havre
76%
Troyes
63%
Brest
62%
Angers
56%
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 (14m)
1.14
1.36
1.36
vs mid-block opponents (14m)
1.07
1.71
0.71
vs low-block opponents (14m)
1.07
1.36
1.07
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
76%
17%
41
8.8
8.4
vs mid-block opponents
77%
17%
38
9.0
8.9
vs low-block opponents
81%
14%
47
11.0
11.1
Vision AI Model Insight
Facing a high press, retention drops to 76% vs 81% against a low block (5pt lower under pressure), and directness (long-ball share) sits at 17% when pressed vs 14% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Auxerre are balanced-territory with a aggressive high-press.
Their attack creates 1.05 xG a game and they concede 1.34 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.
Auxerre
across 42 matches this season
Expected goalsvs Lille · 3-4 · 2025-12-142.67avg 1.05
Threat from passingvs Angers · 1-3 · 2026-08-298.10avg 5.11
Field tiltat Lille · 2-0 · 2026-05-1719%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 Auxerre’s last 12 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).
+18.0on-ball value, 12 matches
Where the value came from
Passes5195 actions+5.34
Carries1229 actions+0.91
Dribbles278 actions+0.62
Shots145 actions+7.46
Ball wins816 actions+3.67
Most on-ball value (OBV)
Actions
OBV
per 100
Danny Namaso
516
+2.58
+0.50
Lassine Sinayoko
209
+1.67
+0.80
Sinaly Diomandé
398
+1.30
+0.33
Cameron Archer
185
+1.17
+0.63
Lamine Sy
704
+1.12
+0.16
Naouirou Ahamada
596
+1.11
+0.19
Gideon Mensah
315
+1.02
+0.32
Kévin Danois
996
+1.00
+0.10
Biggest single moves
OBV
1 Danny Namaso · shot
+0.858
2 Sinaly Diomandé · shot
+0.626
3 Rayan Mandengue · pass
+0.475
4 Sékou Mara · shot
+0.376
5 Gideon Mensah · carry
+0.357
6 Lassine Sinayoko · pass
+0.318
Set Pieces by Player
Who delivers Auxerre’s dead balls and who finishes them this season. 208 corners taken, most by Kévin Danois (98); 86 shots from corners and free kicks, 5 goals, led by Lassine Sinayoko (1 goals, 0.79 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Kévin Danois
98
91 (93%)
4
1
0.12
—
—
Lassine Sinayoko
—
—
12
1
0.79
—
3/4
Danny Namaso
3
1 (33%)
13
—
1.01
2
1/1
Romain Faivre
40
31 (78%)
1
—
0.03
—
—
Josué Casimir
24
15 (62%)
—
—
0.00
—
0/1
Clément Akpa
11
11 (100%)
5
—
0.25
1
—
Marvin Senaya
2
2 (100%)
6
1
0.48
—
—
Sékou Mara
—
—
6
—
0.37
1
—
Sinaly Diomandé
—
—
6
—
1.56
—
—
Bryan Okoh
—
—
5
1
0.29
—
—
Fredrik Oppegård
6
6 (100%)
2
—
0.05
—
—
Lasso Coulibaly
6
5 (83%)
2
—
0.06
1
—
Francisco Sierralta
—
—
4
1
0.50
—
—
Arthur Piedfort
8
7 (88%)
1
—
0.03
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 300 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
Kévin Danois
M
3706
1.55
72
51.7
Danny Namaso
M
3276
1.10
36
17.7
Romain Faivre
M
1110
2.11
30
13.3
Fredrik Oppegård
M
1861
0.73
26
16.2
Lamine Sy
D
2364
0.65
24
24.7
Gideon Mensah
D
2433
0.59
22
41.2
Josué Casimir
M
1690
0.53
23
12.3
Clément Akpa
D
2850
0.35
20
39.0
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)
Lamine Sy
FB
2364
17 (24%)
22 (27%)
Marvin Senaya
FB
1870
18 (22%)
9 (33%)
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
3706
585
101
48
231
Clément Akpa
D
2850
455
42
31
116
Danny Namaso
M
3276
455
48
12
149
Elisha Owusu
M
2457
378
69
26
151
Sinaly Diomandé
D
2441
367
36
34
86
Lamine Sy
D
2364
355
57
33
132
Gideon Mensah
D
2433
352
51
28
128
Marvin Senaya
D
1870
323
57
34
60
Full Squad Data
Every player with 100+ minutes (32 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Kévin Danois
M
41
3706
3
2.1
64
194
585
51.7
Danny Namaso
M
38
3276
6
8.3
40
57
455
17.7
Clément Akpa
D
34
2850
0
0.5
11
165
455
39.0
Donovan Léon
G
29
2733
0
0.0
1
145
48
28.6
Elisha Owusu
M
29
2457
0
0.2
11
59
378
15.4
Sinaly Diomandé
D
26
2441
2
2.5
4
73
367
23.7
Gideon Mensah
D
30
2433
0
0.0
16
233
352
41.2
Lamine Sy
D
32
2364
1
2.0
17
145
355
24.7
Marvin Senaya
D
25
1870
1
1.1
6
97
323
20.0
Fredrik Oppegård
M
29
1861
0
0.7
15
95
219
16.2
Josué Casimir
M
33
1690
1
2.8
10
78
205
12.3
Naouirou Ahamada
M
23
1292
0
0.7
13
44
147
9.8
Romain Faivre
M
18
1110
1
1.8
26
53
120
13.3
Bryan Okoh
D
13
1063
3
0.6
3
24
220
9.5
Francisco Sierralta
D
10
907
1
0.7
2
19
159
5.4
Oussama El Azzouzi
M
11
836
1
0.4
9
26
117
8.3
Ibrahim Osman
M
14
672
0
1.3
7
17
66
3.1
Théo De Percin
G
8
640
0
0.0
0
34
8
7.4
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
Cameron Archer
F
6
541
5
1.6
3
8
57
1.4
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
Lasso Coulibaly
M
18
434
0
0.3
5
10
55
2.7
Telli Siwe
D
4
333
0
0.1
1
8
42
1.6
Assane Dioussé
M
15
283
0
0.2
3
20
44
5.3
Rémy Labeau Lascary
F
5
258
6
5.1
2
6
36
0.7
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
Gabriel Osho
D
2
148
0
0.0
0
3
18
1.0
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
minutes3706
goals · xG3 · 2.1
prog passes /904.7
key passes /901.55
def actions /9014.2
pass accuracy81%
Danny Namaso
Ball-winner / destroyer · Midfielder
minutes3276
goals · xG6 · 8.3
prog passes /901.6
key passes /901.10
def actions /9012.5
pass accuracy81%
Clément Akpa
Ball-playing defender · Defender
minutes2850
goals · xG0 · 0.5
prog passes /905.2
key passes /900.35
def actions /9014.4
pass accuracy79%
Donovan Léon
Goalkeeper · Goalkeeper
minutes2733
goals · xG0 · 0.0
prog passes /904.8
key passes /900.03
def actions /901.6
pass accuracy57%
Elisha Owusu
Ball-winner / destroyer · Midfielder
minutes2457
goals · xG0 · 0.2
prog passes /902.2
key passes /900.40
def actions /9013.8
pass accuracy81%
Sinaly Diomandé
Stopper / marker · Defender
minutes2441
goals · xG2 · 2.5
prog passes /902.7
key passes /900.15
def actions /9013.5
pass accuracy87%
Gideon Mensah
Ball-playing defender · Defender
minutes2433
goals · xG0 · 0.0
prog passes /908.6
key passes /900.59
def actions /9013.0
pass accuracy80%
Lamine Sy
Ball-playing defender · Defender
minutes2364
goals · xG1 · 2.0
prog passes /905.5
key passes /900.65
def actions /9013.5
pass accuracy78%
Marvin Senaya
Ball-playing defender · Defender
minutes1870
goals · xG1 · 1.1
prog passes /904.7
key passes /900.29
def actions /9015.5
pass accuracy73%
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: xG created /game (15th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.05, 15th percentile vs the league).
Need — bottom-third: box entries /game (15th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (9.43, 15th percentile vs the league).
Need — bottom-third: shots /game (15th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (11.00, 15th percentile vs the league).