A territorially-dominated side, aggressive high-press out of possession, with a moderate attack. Currently #15 of 18 on 7 points (1-4-3, 11:16). 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 Le Mans and how good was the season?
Read. Le Mans currently sit #15 of 18 on 7 points (1W-4D-3L, 0.88 pts/game), scoring 11 and conceding 16 for a goal difference of -5.
On the ball they are a territorially-dominated team (41% field tilt, #19 in the league); off it they defend with a aggressive high-press (#2 of 20 for press intensity).
Across the 8 matches of event data, they create 1.39 xG/game (#7) and concede 1.76 (#20), a net of -0.37 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Le Mans actually finish, and against whom?
The authoritative final table (full season), centred on Le Mans.
#
team
P
W
D
L
GF
GA
GD
Pts
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
16
Strasbourg
8
2
1
5
12
18
-6
7
17
Troyes
8
1
2
5
5
16
-11
5
18
Le Havre
8
0
2
6
8
15
-7
2
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Le Mans 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
Le Mans tend to fade after a strong start — first-half net xG +0.71, second-half -3.68. Their strongest period is 31-45' (net +0.61 xG); their most dangerous period to face is 76-90+' (net -2.72 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 matches: Le Mans 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.
Le MansOpponents against Le Mans
Tactical DNA
The football question
In five genes, what is Le Mans'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.
5
Build-Up
possession control from the back
40
Progression
moving the ball upfield with threat
25
Creation
manufacturing chances
48
Press
winning the ball high & hard
0
Solidity
resisting the opponent's threat
Genetic identity
Le Mans are defined most by their Press DNA (48/100 · average at winning the ball high & hard), and least by their Solidity DNA (0/100). 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
10%
Possession
25%
Field tilt
5%
Disrupt
Central progression ~proxy
65%
Dribble tendency
35%
Progressive passes
65%
Finish
Final-third patience
10%
Shot quality
95%
Open-play xG
85%
Press
Forward press ~proxy
90%
High regains
10%
Pressing efficiency ~proxy
65%
Defend
Def-mid press ~proxy
85%
High line ~proxy
75%
PAdj defensive actions
90%
Le Mans is defined most by Defend (83% in the league) and weakest on Possess (13%). 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 Le Mans actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Le Mans'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; Le Mans highlighted. Hover any dot for the team.
Vision AI Model Insight
Le Mans post 41% field tilt, ranking #19 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 0.88 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 Le Mans has the ball, how much of that time is spent building, progressing and creating?
The share of Le Mans'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
32.0%
Progression
50.3%
Chance creation
15.6%
Attacking transition
2.1%
Vision AI Model Insight
Progression is where Le Mans spends most of its time on the ball (50% 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
Yohou ↔ Voyer
86p · -0.4xT
Sidibé ↔ Yohou
84p · -0.6xT
Calodat ↔ Voyer
78p · -0.3xT
Sidibé ↔ Bamba
70p · -0.3xT
Bamba ↔ Boissé
60p · -0.5xT
Bamba ↔ Bourabaa
48p · 1.4xT
Vercruysse ↔ Voyer
44p · 0.2xT
Yohou ↔ Boissé
37p · -0.1xT
Sidibé ↔ Bretelle
36p · 0.1xT
Bretelle ↔ Bamba
35p · -0.0xT
Vision AI Model Insight
Busiest connection: Samuel Yohou ↔ Harold Voyer (86 passes). Most dangerous per pass: Lucas Calodat ↔ Louis Mafouta (0.05 xT/pass over 23 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Le Mans 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 Le Mans 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
3519
ACTIONS
Carries
the ball moved with a player
983
ACTIONS
Vision AI Model Insight
Their single busiest zone is the right wing of the middle third (11.8% 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: 32% defensive, 51% middle, 17% 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. Le Mans leaned on their right (44%). The bars under the pitch put the league’s share beside theirs.
Le Mans
35%21%44%
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. Le Mans made 271 this season (33.9 a match); 35% 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
72
9.0
27%
30%
Left half-space
31
3.9
11%
15%
Centre
36
4.5
13%
11%
Right half-space
38
4.8
14%
14%
Right wing
94
11.8
35%
31%
Build-up2 sections
Build-Up — the pass map
The football question
How does Le Mans 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.
1164build-up passes attempted
74%completed
29%reach the middle third
2%go long into the final third
Pass types
346CB · 40%
82Long Wide · 9%
10Long Central · 1%
334Wide → FB · 39%
95Central · 11%
CB346 · 40%
Long Wide82 · 9%
Long Central10 · 1%
Wide → FB334 · 39%
Central95 · 11%
◆ Vision AI Insight
Le Mans build predominantly down the left, with Kocik as the fulcrum (139 build-up passes). Only 31% 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 → RHS def (56×).
Pass Explorer
Every pass of Le Mans’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. 345 progressive passes across 8 matches (43.1/game).
Origin lane
Right wing
34%
Right half-space
14%
Central
16%
Left half-space
12%
Left wing
23%
Progression is right-dominant: 49% right side · 16% central · 35% left.
Who generates it
Harold Voyer
43 · 12%
Rayan Bamba
40 · 12%
Nicolas Kocik
36 · 10%
Lucas Calodat
31 · 9%
Djibril Sidibé
27 · 8%
Top two — Harold Voyer & Rayan Bamba — account for 24% of all progression.
PROGRESSION
43.1 prog passes/game
mostly right
→
PENETRATION
31% reach final third
15% reach the box
→
THREAT
the other 69% is recycled
progress ≠ danger
What came of it.31% of progressive passes reached the final third and 15% the box; the rest was recycled in front of the block. 24% of the progression ran through two players, mostly down the right 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 wingefficient
Right half-spacebalanced
Centralsterile
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Le Mans 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.
1780progression passes attempted
82%completed
14%break into the final third
14%go backward into the defensive third
Pass types
468CB · 32%
59Long Wide · 4%
13Long Central · 1%
750Wide → FB · 52%
166Central · 11%
CB468 · 32%
Long Wide59 · 4%
Long Central13 · 1%
Wide → FB750 · 52%
Central166 · 11%
◆ Vision AI Insight
Le Mans progress predominantly down the right, with Voyer the busiest midfield outlet (184 progression passes). Only 14% of passes that start in midfield actually break the final-third line — the rest (72%) is recycled back into midfield or (14%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RHS mid → RW mid (97×) — 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)
13%
Progressive
1%
Neutral / sideways
48%
Safe / backward
37%
15% of passes are progressive-or-better; the remaining 85% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Le Mans actually progress the ball with their feet, not a pass?
146 progressive carries this season across the whole squad (20% of 722 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 47m. Most active carrier: Bamba (26). Filter to one player below.
First (43)Second (43)Third (35)Fourth (25)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 Le Mans'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.
85shots
11.1xG
0.13xG per shot
8big chances (0.3+ xG)
11goals
#19key passes / game in the league
#20box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition27% of shots
23
6
4.28
0.19
Cross
3
0
0.72
0.24
Long ball
3
1
0.98
0.33
Pass into the box / short pass
8
4
1.55
0.19
Own creation (carry, dribble, rebound)
9
1
1.02
0.11
Settled attack54% of shots
46
3
5.17
0.11
Cross
10
2
1.04
0.10
Cut-back
5
0
0.38
0.08
Long ball
4
0
0.24
0.06
Pass into the box / short pass
15
0
1.14
0.08
Own creation (carry, dribble, rebound)
12
1
2.36
0.20
Set piece19% of shots
16
2
1.66
0.10
Corner
13
1
0.84
0.06
Free kick
2
0
0.02
0.01
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
Lucas Calodat
8
1.83
2
Adil Bourabaa
9
0.85
2
Antoine Rabillard
2
0.49
0
Billal Brahimi
4
0.48
0
Jean Vercruysse
3
0.44
1
Who takes them
Player
Shots
xG
Goals
Louis Mafouta
20
5.24
4
Dame Gueye
10
1.35
1
Adil Bourabaa
7
1.06
3
Jean Vercruysse
9
0.66
0
Habib Diallo
5
0.59
1
Vision AI Model Insight
The biggest source of Le Mans's chances, by xG, is settled attack (5.2 of 11.1 xG, 46 of 85 shots), mostly own creation (carry, dribble, rebound). 23 of the 85 shots (27%) came within 15 seconds of winning the ball. 16 of the 85 shots came from set pieces; 11 goals from 11.1 xG (-0.1).
Chance Creation — the pass map
The football question
How does Le Mans 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
1CB · 2%
4Long Wide · 7%
11Long Central · 20%
13Wide → FB · 24%
25Central · 46%
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
CB1 · 2%
Long Wide4 · 7%
Long Central11 · 20%
Wide → FB13 · 24%
Central25 · 46%
Who creates — volume × threat
8Bourabaa
8Calodat
7Lauray
7Bretelle
5Brahimi
4Bamba
3Vercruysse
54key passes #19 of 20
8.2box entries/game #20 of 20
26.6final-3rd entries/game #18 of 20
1.39xG/game #7 of 20
11goals #19 of 20
-0.1finishing vs xG #14 of 20
◆ Vision AI Insight
Le Mans lean right — 54% of their key passes come from that flank and its half-space (29 of 54), most often from Bretelle (6). They funnel chances into the c of the final third, most often via RW att → C att (12 key passes, most often from Bretelle). Bourabaa is the primary source overall. They generate 1.39 xG a game and finish it wasteful — they under-perform their xG, led by Louis Mafouta (4G), Adil Bourabaa (3G), Lucas Calodat (1G).
Crosses & Cutbacks — squad-wide
The question
How does Le Mans deliver into the box from wide areas, and what comes of it?
106 crosses: 28 found a team-mate (26%), 13 led to a shot (12%). 16 cut-backs: 6 found a team-mate (38%), 4 led to a shot (25%). 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 Le Mans actually cross from?
106 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. 28% come from one territory, the advanced right wing; 4 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · right wing
30
28%
5
byline · right wing
26
25%
3
byline · left wing
23
22%
2
advanced · left wing
15
14%
3
deep · right wing
4
4%
0
deep · left wing
4
4%
0
byline · right half-space
3
3%
0
deep · left half-space
1
1%
0
Finishing3 sections
Shot Map
85 shots for 11.1 xG (1.39/game, #7 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 10.6 shots/game at 0.131 xG/shot. Box entries 8/game (#20). Threat created 9.3 xT/game (#17).
Goal Sequences
The move behind each of Le Mans’s 11 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 — 11 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Le Mans scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
9 · 82%
Set pieces
1 · 9%
Penalties
1 · 9%
By finish
Right foot
3 · 27%
Left foot
5 · 45%
Header
3 · 27%
Vision AI Model Insight
11 goals scored. 82% come in open play; set pieces add 9%. 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
191
Failed forward pass
141
Failed take-on
65
Lost in the defensive third
297
Their weakest zone is the right half-space in the attacking third: 36% of 80 pass attempts there are lost (29 times). Separately, 24% 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 Le Mans 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.
70
Pressing Index /100 · strong
Intensity78
PPDA, high-press share, high-zone actions
Height75
how high up the pitch they defend
Effectiveness60
high recoveries & high-regain share
Disruption68
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
18%
RHS
19%
C
23%
LHS
24%
LW
17%
By third (high / mid / low regain)
Def 45%
Mid 43%
Att 12%
Read
Ranked #2 of 20 for press intensity, this is a high press. 55% of defensive actions happen in the middle & attacking thirds, at an average height of 39. Of recoveries, 56% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#2/20
lower = more intense; rank is what matters
Defensive actions / game
167
#1/20
High-press share
22%
#9/20
def actions won high up
Defensive-action height (0–100)
39.1
#5/20
avg pitch height of actions
High recoveries / game
23.5
#9/20
ball won in mid+att third
High-recovery share
56%
#7/20
share of recoveries won high
Opponent completion allowed
83%
#9/20
lower = more disruptive
Opponent progressive allowed
8.0%
#4/20
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 Le Mans win it back with a defensive action?
Counted over the 265 opposition possessions that Le Mans 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 Le Mans step in. Le Mans win it after 6.8 opponent passes in the first half-hour and after 5.7 after the hour mark (sooner).
PASSES THEY GET
6.4passes
median 4 · before Le Mans win it
TIME THEY KEEP IT
20sec
median 12s · 33.1 wins per game
How many passes the opponent got in before the ball was won
28%
32%
13%
26%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.8
21s
15–30′
6.9
22s
30–45+′
8.9
31s
45–60′
5.7
16s
60–75′
5.2
14s
75–90+′
6.0
17s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Le Mans 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 Le Mans are genuinely unusual, and a verdict is only written where something clears
0.85 sd — a side that is ordinary in a third is told so rather than given a label
for average play.
Build-up (own third) 1,164 passes
trying to break lines
Width of use+0.4321.90
Wide-channel share+0.490.34
Side bias+0.160.77
Pass length+0.6725.11
Long-ball share+0.670.29
Forward gain per pass+0.6014.04
Backward-pass share-0.150.19
Deep-pass share+0.920.37
Completion-0.660.74
Seconds between passes+0.493.62
Side used
left 28% · central 45% · right 27%
Progression (middle third) 1,780 passes
more recycling, longer passing
Width of use+0.5326.69
Wide-channel share+0.240.42
Side bias-0.32-1.23
Pass length+1.0018.62
Long-ball share+0.830.13
Forward gain per pass-0.163.36
Backward-pass share+1.090.38
Deep-pass share+0.770.20
Completion-0.720.80
Seconds between passes+0.123.25
Side used
left 35% · central 26% · right 39%
Final third 575 passes
longer passing, slower, right-sided
Width of use+0.3632.49
Wide-channel share+0.410.62
Side bias-0.94-7.09
Pass length+1.1117.19
Long-ball share+0.880.14
Forward gain per pass-0.270.68
Backward-pass share+0.370.41
Deep-pass share+0.870.12
Completion-0.600.65
Seconds between passes+0.974.12
Side used
left 32% · central 18% · right 50%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Le Mans'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 Le Mans 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 share16%
#11 of 20 · reaches final third in ≤3 passes
Patient build-up share21%
#20 of 20 · spells of 6+ passes
Tempo (possession length)15.0s
#1 of 20 · shorter = faster tempo
Passes per possession3.9
#16 of 20
Counter-attack shots /game1.12
#9 of 20 · shot within 12s of a regain in own half
Press→shot /game2.62
#17 of 20 · shot within 8s of a high regain
Speed to final third after regain10.8s
#3 of 20 · lower = faster break
Vision AI Model Insight
Le Mans are a direct, fast-break side: 16% of possessions reach the final third in 3 passes or fewer (#11 of 20), against 21% built patiently over 6+ passes (#20 of 20). Winning the ball back leads to a shot inside 12 seconds 1.12 times a game (#9), and a high regain converts to a shot within 8 seconds 2.62 times a game (#17 of 20) — not yet a major source of chances.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against Le Mans? 349 opponent progressive passes and 129 shots faced (14.1 xG against) across the season.
Opponent threat by lane (attacking into Le Mans)
Right wing
35%
Right half-space
11%
Central
14%
Left half-space
14%
Left wing
27%
Where the danger came from. Opponents generated most of their threat through the right wing (35% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Le Mans actually come from — open play, dead balls, and who supplies them?
Every goal Le Mans conceded across the loaded matches — the opponent's shots in Le Mans'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 (84 total)
By situation
Open play
13 · 81%
Set pieces
1 · 6%
Penalties
2 · 12%
Vision AI Model Insight
16 goals conceded. 81% come in open play; set pieces account for only 6%, so dead-ball defending is not the main issue. 19% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (24% 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
9 g · 9.4 xG
Set pieces
1 g · 0.9 xG
Penalties
1 g
9% of goals come from set pieces (1 of 11), worth 0.9 xG from 15 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Le Mans's corners go?
20 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 (13)
Delivered into the box 92%Short 8%
Left side (7)
Delivered into the box 71%Short 29%
Where opponents attack Le Mans from set pieces
24 shots from opponent corners against Le Mans, 1 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (13)
Shot 13Goals 1
Left flag (11)
Shot 11Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
press intensity (PPDA) — 5.21 (90th pct)
xG created /game — 1.39 (65th pct)
progression /game — 43.12 (65th pct)
Weaknesses (bottom-third vs league)
xG conceded /game — 1.76 (0th pct)
box entries /game — 8.25 (0th pct)
field tilt % — 40.54 (5th pct)
pass retention % — 76.93 (5th pct)
shots /game — 10.62 (10th 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 Havre
80%
Brest
74%
Auxerre
46%
Troyes
45%
Nice
42%
Performance vs Opponent Styles
The question
Not just how Le Mans 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 Le Mans's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
2.00
2.50
0.50
vs mid-block opponents (2m)
1.00
2.00
0.50
vs low-block opponents (4m)
1.25
1.75
1.25
Behaviour — how Le Mans actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
72%
23%
43
8.6
7.5
vs mid-block opponents
69%
21%
32
6.7
6.5
vs low-block opponents
81%
16%
49
10.9
9.5
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 23% when pressed vs 16% 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. Le Mans are territorially-dominated with a aggressive high-press.
Their attack creates 1.39 xG a game and they concede 1.76 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 Le Mans’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.
Field tiltvs Toulouse · 0-3 · 2026-10-1658%avg 41%
Threat from passingat PSG · 1-3 · 2026-10-102.76avg 4.33
Passesvs Toulouse · 0-3 · 2026-10-16618avg 440
PPDAat PSG · 1-3 · 2026-10-107.0avg 5.2
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 Le Mans’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).
+12.0on-ball value, 8 matches
Where the value came from
Passes3519 actions+3.29
Carries722 actions-0.05
Dribbles117 actions+0.49
Shots85 actions+6.30
Ball wins500 actions+1.99
Most on-ball value (OBV)
Actions
OBV
per 100
Louis Mafouta
183
+3.91
+2.14
Lucas Calodat
286
+0.85
+0.30
Jean Vercruysse
208
+0.82
+0.39
Harold Voyer
488
+0.79
+0.16
Dame Gueye
136
+0.77
+0.57
Djibril Sidibé
320
+0.72
+0.22
Nicolas Kocik
275
+0.71
+0.26
Antoine Rabillard
95
+0.42
+0.45
Biggest single moves
OBV
1 Louis Mafouta · shot
+0.803
2 Louis Mafouta · shot
+0.663
3 Louis Mafouta · shot
+0.439
4 Lucas Calodat · pass
+0.396
5 Louis Mafouta · shot
+0.363
6 Lucas Calodat · pass
+0.321
Set Pieces by Player
Who delivers Le Mans’s dead balls and who finishes them this season. 20 corners taken, most by Alexandre Lauray (9); 15 shots from corners and free kicks, 1 goals, led by Habib Diallo (1 goals, 0.22 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
Jean Vercruysse
1
1 (100%)
3
—
0.09
1
—
Alexandre Lauray
9
7 (78%)
—
—
0.00
—
—
Lucas Calodat
3
1 (33%)
1
—
0.02
—
—
Djibril Sidibé
—
—
2
—
0.07
1
—
Habib Diallo
—
—
2
1
0.22
—
—
Samuel Yohou
—
—
2
—
0.23
—
—
Lucas Bretelle
4
3 (75%)
—
—
0.00
—
—
Billal Brahimi
3
3 (100%)
—
—
0.00
—
—
Lucas Buadés
—
—
1
—
0.03
—
—
Adil Bourabaa
—
—
1
—
0.05
—
—
Dame Gueye
—
—
1
—
0.05
—
—
Louis Mafouta
—
—
—
—
0.00
—
1/1
William Harhouz
—
—
1
—
0.07
—
—
Harold Voyer
—
—
1
—
0.05
—
—
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
Lucas Calodat
M
507
1.42
11
5.7
Lucas Bretelle
M
521
1.21
7
4.5
Alexandre Lauray
M
451
1.40
6
4.8
Adil Bourabaa
M
399
1.80
4
2.9
Rayan Bamba
M
521
0.69
6
6.8
Jean Vercruysse
M
439
0.62
4
2.2
Louis Mafouta
F
719
0.38
4
1.4
Harold Voyer
D
564
0.00
4
10.5
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)
Billal Brahimi
W
132
7 (29%)
2 (0%)
Djibril Sidibé
FB
333
3 (67%)
0
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Lucas Bretelle
M
521
106
13
15
33
Noa Boissé
D
505
103
17
5
21
Dame Gueye
F
450
100
5
3
10
Alexandre Lauray
M
451
87
13
8
20
Harold Voyer
D
564
83
6
8
20
Louis Mafouta
F
719
79
2
2
17
Jean Vercruysse
M
439
78
8
4
25
Rayan Bamba
M
521
77
12
3
37
Full Squad Data
Every player with 100+ minutes (22 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Louis Mafouta
F
8
719
4
5.2
3
4
79
1.4
Nicolas Kocik
G
6
566
0
0.0
0
36
16
6.8
Harold Voyer
D
6
564
0
0.1
0
43
83
10.5
Lucas Bretelle
M
7
521
0
0.0
7
21
106
4.5
Rayan Bamba
M
7
521
0
0.1
4
40
77
6.8
Lucas Calodat
M
8
507
1
0.5
8
31
69
5.7
Noa Boissé
D
7
505
0
0.0
1
18
103
3.7
Samuel Yohou
D
6
499
0
0.2
0
9
77
3.1
Alexandre Lauray
M
7
451
0
0.2
7
20
87
4.8
Dame Gueye
F
8
450
1
1.3
2
8
100
0.8
Jean Vercruysse
M
7
439
0
0.7
3
6
78
2.2
Adil Bourabaa
M
5
399
3
1.1
8
9
56
2.9
Lucas Buadés
M
4
356
1
0.2
1
23
53
3.4
Djibril Sidibé
D
5
333
3
3.5
1
27
53
6.6
Antoine Rabillard
M
6
306
0
0.2
2
7
53
1.4
Habib Diallo
F
6
266
5
6.0
0
5
65
0.7
Yasser Larouci
M
5
235
0
0.3
1
9
33
1.7
Ewan Hatfout
G
3
214
0
0.0
0
12
10
2.2
Théo Eyoum
D
2
202
0
0.0
0
2
36
0.6
Raúl Torrente
D
3
178
0
0.0
0
5
35
1.2
Billal Brahimi
M
5
132
0
0.1
5
5
21
1.9
Daouda Traoré
M
3
105
0
0.1
1
3
21
0.9
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.
Louis Mafouta
Poacher / finisher · Forward
minutes719
goals · xG4 · 5.2
prog passes /900.5
key passes /900.38
def actions /909.9
pass accuracy74%
Nicolas Kocik
Goalkeeper · Goalkeeper
minutes566
goals · xG0 · 0.0
prog passes /905.7
key passes /900.00
def actions /902.5
pass accuracy60%
Harold Voyer
Ball-playing defender · Defender
minutes564
goals · xG0 · 0.1
prog passes /906.9
key passes /900.00
def actions /9013.2
pass accuracy80%
Rayan Bamba
Deep-lying playmaker · Midfielder
minutes521
goals · xG0 · 0.1
prog passes /906.9
key passes /900.69
def actions /9013.3
pass accuracy80%
Lucas Bretelle
Ball-winner / destroyer · Midfielder
minutes521
goals · xG0 · 0.0
prog passes /903.6
key passes /901.21
def actions /9018.3
pass accuracy86%
Lucas Calodat
Advanced creator · Attacking mid
minutes507
goals · xG1 · 0.5
prog passes /905.5
key passes /901.42
def actions /9012.2
pass accuracy73%
Noa Boissé
Stopper / marker · Defender
minutes505
goals · xG0 · 0.0
prog passes /903.2
key passes /900.18
def actions /9018.4
pass accuracy83%
Samuel Yohou
Stopper / marker · Defender
minutes499
goals · xG0 · 0.2
prog passes /901.6
key passes /900.00
def actions /9013.9
pass accuracy87%
Alexandre Lauray
Ball-winner / destroyer · Midfielder
minutes451
goals · xG0 · 0.2
prog passes /904.0
key passes /901.40
def actions /9017.4
pass accuracy74%
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 conceded /game (0th pct)
Sign a defensive organiser / shot-suppressing centre-back. The data flags this because too much xG is conceded (1.76, 0th percentile vs the league).
Need — bottom-third: box entries /game (0th pct)
Sign a penetrative wide player or runner to create box entries. The data flags this because few entries into the box (8.25, 0th percentile vs the league).
Need — bottom-third: field tilt % (5th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (40.54, 5th percentile vs the league).