Combining every season — this one is larger, give it a moment.
Team reportLigue 1 2026
Lorient
A territorially-dominated side, aggressive high-press out of possession, with a low-output attack. Currently #9 of 18 on 12 points (3-3-2, 7:6). 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 Lorient and how good was the season?
Read. Lorient currently sit #9 of 18 on 12 points (3W-3D-2L, 1.50 pts/game), scoring 7 and conceding 6 for a goal difference of +1.
On the ball they are a territorially-dominated team (40% field tilt, #18 in the league); off it they defend with a aggressive high-press (#18 of 18 for press intensity).
Across the 8 matches of event data, they create 0.96 xG/game (#17) and concede 1.05 (#3), a net of -0.09 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did Lorient actually finish, and against whom?
The authoritative final table (full season), centred on Lorient.
#
team
P
W
D
L
GF
GA
GD
Pts
6
Paris FC
8
4
2
2
13
9
+4
14
7
Lens
8
4
1
3
16
12
+4
13
8
Marseille
8
4
0
4
18
13
+5
12
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
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Lorient 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
Lorient tend to come alive after the break — first-half net xG -1.55, second-half +0.80. Their strongest period is 61-75' (net +0.79 xG); their most dangerous period to face is 16-30' (net -0.69 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 matches: Lorient 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 (-0.8 xG). Hover a point for that match.
LorientOpponents against Lorient
Tactical DNA
The football question
In five genes, what is Lorient'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.
19
Build-Up
possession control from the back
39
Progression
moving the ball upfield with threat
6
Creation
manufacturing chances
0
Press
winning the ball high & hard
83
Solidity
resisting the opponent's threat
Genetic identity
Lorient are defined most by their Solidity DNA (83/100 · strong at resisting the opponent's threat), and least by their Press DNA (0/100). 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
50%
Possession
35%
Field tilt
15%
Disrupt
Central progression ~proxy
15%
Dribble tendency
55%
Progressive passes
20%
Finish
Final-third patience
45%
Shot quality
65%
Open-play xG
35%
Press
Forward press ~proxy
10%
High regains
15%
Pressing efficiency ~proxy
0%
Defend
Def-mid press ~proxy
0%
High line ~proxy
0%
PAdj defensive actions
5%
Lorient is defined most by Finish (48% in the league) and weakest on Defend (2%). 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 Lorient actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Lorient'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; Lorient highlighted. Hover any dot for the team.
Vision AI Model Insight
Lorient post 40% field tilt, ranking #18 of 18 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.50 points/game sits above 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 Lorient has the ball, how much of that time is spent building, progressing and creating?
The share of Lorient'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
36.5%
Progression
44.3%
Chance creation
17.5%
Attacking transition
1.7%
Vision AI Model Insight
Progression is where Lorient spends most of its time on the ball (44% 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
Talbi ↔ Adjei
124p · -0.7xT
Mvogo ↔ Talbi
111p · -0.7xT
Avom ↔ Kouassi
105p · 1.4xT
Cadiou ↔ Adjei
97p · -0.2xT
Talbi ↔ Cadiou
91p · -0.6xT
Avom ↔ Cadiou
91p · 0.7xT
Talbi ↔ Sylla
81p · -1.0xT
Cadiou ↔ Kouassi
81p · 0.4xT
Mvogo ↔ Adjei
80p · -0.2xT
Adjei ↔ Kouassi
77p · 0.4xT
Vision AI Model Insight
Busiest connection: Montassar Talbi ↔ Nathaniel Adjei (124 passes). Most dangerous per pass: Jean-Victor Makengo ↔ Dembo Sylla (0.03 xT/pass over 56 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Lorient 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 Lorient 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
4203
ACTIONS
Carries
the ball moved with a player
1025
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (12.5% of all actions). 61% of actions run through the inside lanes (centre + both half-spaces) versus 39% down the two wings — an inside-dominant, half-space build. By third: 36% defensive, 47% middle, 18% 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. Lorient leaned on their left (41%). The bars under the pitch put the league’s share beside theirs.
Lorient
41%23%36%
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. Lorient made 308 this season (38.5 a match); 32% 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
100
12.5
32%
30%
Left half-space
49
6.1
16%
13%
Centre
34
4.2
11%
11%
Right half-space
40
5.0
13%
14%
Right wing
85
10.6
28%
32%
Build-up2 sections
Build-Up — the pass map
The football question
How does Lorient 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.
1514build-up passes attempted
83%completed
25%reach the middle third
1%go long into the final third
Pass types
488CB · 39%
71Long Wide · 6%
13Long Central · 1%
535Wide → FB · 42%
152Central · 12%
Sequence success — build-up
61build-up sequences this season
10%succeed — reach the next third or a shot
43%turned over with nothing to show
CB488 · 39%
Long Wide71 · 6%
Long Central13 · 1%
Wide → FB535 · 42%
Central152 · 12%
◆ Vision AI Insight
Lorient build predominantly down the left, with Mvogo as the fulcrum (246 build-up passes). Only 27% 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 (78×).
Pass Explorer
Every pass of Lorient’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. 342 progressive passes across 8 matches (42.8/game).
Origin lane
Right wing
29%
Right half-space
14%
Central
14%
Left half-space
14%
Left wing
29%
Progression is central-dominant: 43% right side · 14% central · 43% left.
Who generates it
Arsène Kouassi
48 · 14%
Dembo Sylla
46 · 13%
Arthur Avom
39 · 11%
Nathaniel Adjei
33 · 10%
Yvon Mvogo
28 · 8%
Top two — Arsène Kouassi & Dembo Sylla — account for 27% of all progression.
PROGRESSION
42.8 prog passes/game
mostly central
→
PENETRATION
27% reach final third
20% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 20% the box; the rest was recycled in front of the block. 27% of the progression ran through two players, mostly down the central 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
Centralsterile
Left half-spacebalanced
Left wingefficient
Progression — the pass map
The football question
Once Lorient 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.
1929progression passes attempted
89%completed
12%break into the final third
14%go backward into the defensive third
Pass types
504CB · 30%
69Long Wide · 4%
4Long Central · 0%
867Wide → FB · 51%
264Central · 15%
Sequence success — progression
70progression sequences this season
27%succeed — reach the next third or a shot
43%turned over with nothing to show
CB504 · 30%
Long Wide69 · 4%
Long Central4 · 0%
Wide → FB867 · 51%
Central264 · 15%
◆ Vision AI Insight
Lorient progress predominantly down the left, with Cadiou the busiest midfield outlet (238 progression passes). Only 12% of passes that start in midfield actually break the final-third line — the rest (73%) 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 LW mid → LHS mid (107×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
12%
Progressive
1%
Neutral / sideways
48%
Safe / backward
39%
13% of passes are progressive-or-better; the remaining 87% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does Lorient actually progress the ball with their feet, not a pass?
245 progressive carries this season across the whole squad (24% of 1025 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 54m. Most active carrier: Talbi (35). Filter to one player below.
First (80)Second (68)Third (57)Fourth (40)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 Lorient'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.
79shots
7.6xG
0.10xG per shot
1big chances (0.3+ xG)
7goals
#17key passes / game in the league
#16box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition19% of shots
15
3
1.67
0.11
Cross
2
0
0.27
0.14
Cut-back
1
0
0.17
0.17
Pass into the box / short pass
5
2
0.70
0.14
Own creation (carry, dribble, rebound)
7
1
0.53
0.08
Settled attack65% of shots
51
3
4.42
0.09
Cross
11
2
1.02
0.09
Cut-back
11
0
1.46
0.13
Long ball
1
0
0.11
0.11
Pass into the box / short pass
16
0
0.96
0.06
Own creation (carry, dribble, rebound)
12
1
0.87
0.07
Set piece16% of shots
13
1
1.56
0.12
Corner
10
0
0.72
0.07
Free kick
2
0
0.04
0.02
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
Panos Katseris
5
0.93
2
Mamadou Koné
9
0.72
0
Arsène Kouassi
8
0.71
1
Jean-Victor Makengo
5
0.65
1
Arthur Avom
5
0.37
0
Who takes them
Player
Shots
xG
Goals
Mamadou Koné
12
1.29
1
Noah Cadiou
9
1.22
1
Jean-Victor Makengo
10
1.13
1
Ibrahima Baldé
7
0.84
1
Gabin Bernardeau
9
0.79
1
Vision AI Model Insight
The biggest source of Lorient's chances, by xG, is settled attack (4.4 of 7.6 xG, 51 of 79 shots), mostly cut-back. 15 of the 79 shots (19%) came within 15 seconds of winning the ball. 13 of the 79 shots came from set pieces; 7 goals from 7.6 xG (-0.6).
Chance Creation — the pass map
The football question
How does Lorient consistently create dangerous chances — from which zones, and who creates them?
Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.
Pass types
3CB · 5%
4Long Wide · 7%
4Long Central · 7%
14Wide → FB · 25%
31Central · 55%
Sequence success — final-third
31final-third sequences this season
19%succeed — produce a shot
42%turned over with nothing to show
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB3 · 5%
Long Wide4 · 7%
Long Central4 · 7%
Wide → FB14 · 25%
Central31 · 55%
Who creates — volume × threat
13Kouassi
7Avom
6Koné
5Makengo
5Katseris
5Bernardeau
4Cadiou
56key passes #17 of 18
10.6box entries/game #16 of 18
28.8final-3rd entries/game #14 of 18
0.96xG/game #17 of 18
7goals #17 of 18
-0.6finishing vs xG #13 of 18
◆ Vision AI Insight
Lorient lean left — 50% of their key passes come from that flank and its half-space (28 of 56), most often from Kouassi (12). They funnel chances into the c of the final third, most often via LW att → C att (8 key passes, most often from Kouassi). Kouassi is the primary source overall. They generate 0.96 xG a game and finish it wasteful — they under-perform their xG, led by Jean-Victor Makengo (1G), Noah Mbamba (1G), Isak Jensen (1G).
Crosses & Cutbacks — squad-wide
The question
How does Lorient deliver into the box from wide areas, and what comes of it?
96 crosses: 35 found a team-mate (36%), 14 led to a shot (15%). 25 cut-backs: 13 found a team-mate (52%), 9 led to a shot (36%). 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 Lorient actually cross from?
96 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 advanced left wing; 2 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
advanced · left wing
26
27%
3
byline · right wing
23
24%
4
byline · left wing
23
24%
4
advanced · right wing
16
17%
1
deep · right wing
3
3%
0
deep · left wing
3
3%
1
advanced · left half-space
1
1%
0
byline · left half-space
1
1%
1
Finishing3 sections
Shot Map
79 shots for 7.6 xG (0.96/game, #17 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Low-output attack. 9.9 shots/game at 0.097 xG/shot. Box entries 11/game (#16). Threat created 10.7 xT/game (#10).
Goal Sequences
The move behind each of Lorient’s 7 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 — 7 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Lorient scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
6 · 86%
Set pieces
0 · 0%
Penalties
1 · 14%
By finish
Right foot
4 · 57%
Left foot
3 · 43%
Header
0 · 0%
Vision AI Model Insight
7 goals scored. 86% 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
209
Failed forward pass
141
Failed take-on
78
Lost in the defensive third
255
Their weakest zone is the right wing in the attacking third: 31% of 207 pass attempts there are lost (65 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 Lorient 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.
4
Pressing Index /100 · passive
Intensity0
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness0
high recoveries & high-regain share
Disruption22
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
14%
RHS
21%
C
21%
LHS
21%
LW
22%
By third (high / mid / low regain)
Def 58%
Mid 31%
Att 12%
Read
Ranked #18 of 18 for press intensity, this is a high press. Note the tension: 58% of their raw defensive actions still occur in their own third — a possession effect, not a passive one. Dominating the ball (17% high-press share) means that when they do defend, it is often deep. Of recoveries, 40% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#18/18
lower = more intense; rank is what matters
Defensive actions / game
155
#10/18
High-press share
17%
#18/18
def actions won high up
Defensive-action height (0–100)
34.2
#18/18
avg pitch height of actions
High recoveries / game
16.5
#18/18
ball won in mid+att third
High-recovery share
40%
#18/18
share of recoveries won high
Opponent completion allowed
85%
#15/18
lower = more disruptive
Opponent progressive allowed
8.8%
#13/18
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 Lorient win it back with a defensive action?
Counted over the 274 opposition possessions that Lorient 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 Lorient step in. Lorient win it after 6.1 opponent passes in the first half-hour and after 7.0 after the hour mark (later).
PASSES THEY GET
6.6passes
median 4 · before Lorient win it
TIME THEY KEEP IT
18sec
median 9s · 34.2 wins per game
How many passes the opponent got in before the ball was won
38%
21%
17%
24%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.3
16s
15–30′
5.8
16s
30–45+′
7.4
21s
45–60′
5.5
15s
60–75′
8.5
23s
75–90+′
6.1
18s
average passesaverage seconds
Attitude in each third
Every other style number here says how much Lorient 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 Lorient 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) 1,514 passes
played in the channels
Width of use+0.6922.43
Wide-channel share+0.930.36
Side bias+0.321.36
Pass length-0.7120.12
Long-ball share-0.680.16
Forward gain per pass-0.668.58
Backward-pass share+0.640.23
Deep-pass share-0.620.23
Completion+0.470.83
Seconds between passes+0.083.38
Side used
left 31% · central 42% · right 28%
Progression (middle third) 1,929 passes
more recycling, circulating
Width of use-0.4224.67
Wide-channel share-0.300.38
Side bias+0.301.23
Pass length-0.0417.17
Long-ball share-0.600.08
Forward gain per pass-0.912.24
Backward-pass share+1.190.39
Deep-pass share-0.300.15
Completion+0.610.88
Seconds between passes-0.163.12
Side used
left 36% · central 31% · right 33%
Final third 760 passes
nothing unusual in this zone
Width of use-0.2231.07
Wide-channel share-0.090.58
Side bias+0.513.13
Pass length+0.3015.94
Long-ball share-0.310.09
Forward gain per pass-0.310.62
Backward-pass share+0.450.42
Deep-pass share+0.090.09
Completion+0.370.73
Seconds between passes+0.143.50
Side used
left 46% · central 17% · right 37%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Lorient'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 Lorient 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 share15%
#17 of 18 · reaches final third in ≤3 passes
Patient build-up share32%
#7 of 18 · spells of 6+ passes
Tempo (possession length)20.2s
#13 of 18 · shorter = faster tempo
Passes per possession5.0
#7 of 18
Counter-attack shots /game0.76
#17 of 18 · shot within 12s of a regain in own half
Press→shot /game2.40
#17 of 18 · shot within 8s of a high regain
Speed to final third after regain14.6s
#15 of 18 · lower = faster break
Sequence success — defensive transition
14defensive transition sequences this season
86%succeed — reach the next third or a shot
7%turned over with nothing to show
Vision AI Model Insight
Lorient are a patient build-up side: 15% of possessions reach the final third in 3 passes or fewer (#17 of 18), against 32% built patiently over 6+ passes (#7 of 18). Winning the ball back leads to a shot inside 12 seconds 0.76 times a game (#17), and a high regain converts to a shot within 8 seconds 2.40 times a game (#17 of 18) — 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 Lorient? 429 opponent progressive passes and 106 shots faced (8.4 xG against) across the season.
Opponent threat by lane (attacking into Lorient)
Right wing
35%
Right half-space
15%
Central
10%
Left half-space
14%
Left wing
25%
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 Lorient actually come from — open play, dead balls, and who supplies them?
Every goal Lorient conceded across the loaded matches — the opponent's shots in Lorient'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 (71 total)
By situation
Open play
3 · 50%
Set pieces
2 · 33%
Penalties
1 · 17%
Vision AI Model Insight
6 goals conceded. 50% come in open play, and 33% from set pieces — a genuine defensive frailty at dead balls to fix on the training ground. 33% are headers — a real weakness in the air. Their supply line runs mainly through the right half-space of the attacking third (20% 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
6 g · 6.1 xG
Set pieces
0 g · 0.8 xG
Penalties
1 g
0% of goals come from set pieces (0 of 7), worth 0.8 xG from 12 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Lorient's corners go?
25 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 (12)
Delivered into the box 100%Short 0%
Where opponents attack Lorient from set pieces
19 shots from opponent corners against Lorient, 2 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 (9)
Shot 9Goals 1
Left flag (10)
Shot 10Goals 1
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG conceded /game — 1.05 (83th pct)
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 8.21 (0th pct)
field tilt % — 40.35 (0th pct)
shots /game — 9.88 (0th pct)
xG created /game — 0.96 (6th pct)
box entries /game — 10.62 (11th 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.
Lyon
66%
Lille
62%
Strasbourg
58%
Paris FC
50%
Nice
32%
Performance vs Opponent Styles
The question
Not just how Lorient 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 Lorient'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
1.00
1.50
vs mid-block opponents (2m)
0.50
0.00
2.00
vs low-block opponents (4m)
1.00
1.00
1.25
Behaviour — how Lorient actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
83%
11%
44
10.4
8.5
vs mid-block opponents
83%
11%
40
9.6
10.0
vs low-block opponents
84%
11%
44
11.4
12.0
Vision AI Model Insight
Facing a high press, retention drops to 83% vs 84% against a low block (2pt lower under pressure), and directness (long-ball share) sits at 11% when pressed vs 11% against a low block — their passing style barely changes regardless of how the opponent sets up, for better or worse.
Scouting Summary — the team in brief
In brief. Lorient are territorially-dominated with a aggressive high-press.
Their attack creates 0.96 xG a game and they concede 1.05 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 Lorient’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.
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 Lorient’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).
+10.5on-ball value, 8 matches
Where the value came from
Passes4203 actions+3.86
Carries1025 actions-0.04
Dribbles134 actions+0.64
Shots79 actions+3.95
Ball wins500 actions+2.12
Most on-ball value (OBV)
Actions
OBV
per 100
Panos Katseris
121
+1.31
+1.09
Arthur Avom
612
+1.28
+0.21
Jean-Victor Makengo
427
+1.23
+0.29
Mamadou Koné
120
+0.85
+0.71
Montassar Talbi
670
+0.80
+0.12
Arsène Kouassi
573
+0.78
+0.14
Nathaniel Adjei
605
+0.70
+0.12
Yvon Mvogo
403
+0.62
+0.15
Biggest single moves
OBV
1 Noah Cadiou · shot
+0.852
2 Panos Katseris · pass
+0.478
3 Souleymane Faye · pass
+0.444
4 Panos Katseris · pass
+0.409
5 Aiyegun Tosin · shot
+0.342
6 Panos Katseris · pass
+0.276
Set Pieces by Player
Who delivers Lorient’s dead balls and who finishes them this season. 25 corners taken, most by Arthur Avom (8); 12 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
Arsène Kouassi
6
6 (100%)
1
—
0.03
1
—
Isak Jensen
6
6 (100%)
1
—
0.01
1
—
Montassar Talbi
—
—
3
—
0.17
—
—
Arthur Avom
8
6 (75%)
—
—
0.00
—
—
Gabin Bernardeau
5
3 (60%)
1
—
0.02
—
—
Ibrahima Baldé
—
—
2
—
0.11
—
—
Isaak Touré
—
—
2
—
0.13
—
—
Jean-Victor Makengo
—
—
1
—
0.25
—
—
Mamadou Koné
—
—
1
—
0.03
—
—
Noah Cadiou
—
—
—
—
0.00
—
1/1
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
Arsène Kouassi
M
754
1.55
20
8.8
Arthur Avom
M
543
1.16
15
12.8
Jean-Victor Makengo
M
705
0.64
10
5.1
Gabin Bernardeau
M
471
0.96
8
3.0
Dembo Sylla
D
726
0.25
6
9.0
Mamadou Koné
F
381
1.42
2
0.7
Noah Cadiou
M
744
0.48
3
7.6
Isaak Touré
D
272
0.66
3
4.6
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)
Panos Katseris
W
183
3 (0%)
8 (50%)
Dembo Sylla
FB
726
7 (14%)
3 (67%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Nathaniel Adjei
D
731
145
12
13
38
Montassar Talbi
D
754
138
7
10
26
Noah Cadiou
M
744
120
11
9
50
Jean-Victor Makengo
M
705
113
9
5
35
Dembo Sylla
D
726
113
14
15
15
Arsène Kouassi
M
754
101
8
8
41
Arthur Avom
M
543
98
18
12
36
Gabin Bernardeau
M
471
61
7
3
13
Full Squad Data
Every player with 100+ minutes (18 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Yvon Mvogo
G
8
754
0
0.0
0
28
11
8.5
Montassar Talbi
D
8
754
0
0.5
0
20
138
7.6
Arsène Kouassi
M
8
754
0
0.2
13
48
101
8.8
Noah Cadiou
M
8
744
1
1.2
4
27
120
7.6
Nathaniel Adjei
D
8
731
0
0.0
1
33
145
8.9
Dembo Sylla
D
8
726
0
0.1
2
46
113
9.0
Jean-Victor Makengo
M
8
705
1
1.1
5
26
113
5.1
Arthur Avom
M
8
543
0
0.2
7
39
98
12.8
Gabin Bernardeau
M
8
471
1
0.8
5
14
61
3.0
Mamadou Koné
F
8
381
1
1.3
6
4
48
0.7
Ibrahima Baldé
F
6
320
1
0.8
1
2
42
0.6
Théo Le Bris
M
5
289
0
0.3
2
14
46
1.6
Isaak Touré
D
3
272
0
0.3
2
13
60
4.6
Panos Katseris
M
5
183
0
0.1
5
11
42
1.4
Isak Jensen
M
6
178
1
0.2
1
5
10
1.4
Souleymane Faye
M
5
154
0
0.2
1
3
25
1.3
Noah Mbamba
M
3
144
1
0.1
0
3
29
1.0
Alec Georgen
M
2
100
0
0.0
1
4
11
1.2
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.
Yvon Mvogo
Goalkeeper · Goalkeeper
minutes754
goals · xG0 · 0.0
prog passes /903.3
key passes /900.00
def actions /901.3
pass accuracy74%
Montassar Talbi
Stopper / marker · Defender
minutes754
goals · xG0 · 0.5
prog passes /902.4
key passes /900.00
def actions /9016.5
pass accuracy91%
Arsène Kouassi
Advanced creator · Attacking mid
minutes754
goals · xG0 · 0.2
prog passes /905.7
key passes /901.55
def actions /9012.1
pass accuracy82%
Noah Cadiou
Ball-winner / destroyer · Midfielder
minutes744
goals · xG1 · 1.2
prog passes /903.3
key passes /900.48
def actions /9014.5
pass accuracy84%
Nathaniel Adjei
Stopper / marker · Defender
minutes731
goals · xG0 · 0.0
prog passes /904.1
key passes /900.12
def actions /9017.9
pass accuracy92%
Dembo Sylla
Ball-playing defender · Defender
minutes726
goals · xG0 · 0.1
prog passes /905.7
key passes /900.25
def actions /9014.0
pass accuracy85%
Jean-Victor Makengo
Ball-winner / destroyer · Midfielder
minutes705
goals · xG1 · 1.1
prog passes /903.3
key passes /900.64
def actions /9014.4
pass accuracy84%
Arthur Avom
Deep-lying playmaker · Midfielder
minutes543
goals · xG0 · 0.2
prog passes /906.5
key passes /901.16
def actions /9016.2
pass accuracy87%
Gabin Bernardeau
Ball-winner / destroyer · Midfielder
minutes471
goals · xG1 · 0.8
prog passes /902.7
key passes /900.96
def actions /9011.7
pass accuracy65%
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: press intensity (PPDA) (0th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (8.21, 0th percentile vs the league).
Need — bottom-third: field tilt % (0th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (40.35, 0th percentile vs the league).
Need — bottom-third: shots /game (0th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (9.88, 0th percentile vs the league).