Combining every season — this one is larger, give it a moment.
Team reportLigue 1 2025/26
Lorient
A territorially-dominated side, aggressive high-press out of possession, with a moderate attack. Finished #10 of 18 on 45 points (11-12-11, 48:51). Tactical profile below is built from 34 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 finished #10 of 18 on 45 points (11W-12D-11L, 1.32 pts/game), scoring 48 and conceding 51 for a goal difference of -3.
On the ball they are a territorially-dominated team (43% field tilt, #16 in the league); off it they defend with a aggressive high-press (#16 of 18 for press intensity).
Across the 34 matches of event data, they create 1.26 xG/game (#10) and concede 1.25 (#8), a net of +0.02 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
7
Monaco
34
16
6
12
60
54
+6
54
8
Strasbourg
34
15
8
11
58
47
+11
53
9
Toulouse
34
12
9
13
47
46
+1
45
10
Lorient
34
11
12
11
48
51
-3
45
11
Paris FC
34
11
11
12
47
50
-3
44
12
Brest
34
10
9
15
43
55
-12
39
13
Angers
34
9
9
16
29
48
-19
36
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 stay fairly even across both halves — first-half net xG +0.29, second-half +0.27. Their strongest period is 16-30' (net +4.85 xG); their most dangerous period to face is 0-15' (net -2.95 xG against them).
xG Race — the season, match by match
Expected goals piling up over 34 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 (+0.6 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.
33
Build-Up
possession control from the back
33
Progression
moving the ball upfield with threat
37
Creation
manufacturing chances
11
Press
winning the ball high & hard
56
Solidity
resisting the opponent's threat
Genetic identity
Lorient are defined most by their Solidity DNA (56/100 · average at resisting the opponent's threat), and least by their Press DNA (11/100). 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 43% field tilt, ranking #16 of 18 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.32 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 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
33.7%
Progression
44.9%
Chance creation
18.8%
Attacking transition
2.5%
Vision AI Model Insight
Progression is where Lorient spends most of its time on the ball (45% 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
Abergel ↔ Talbi
408p · 13.2xT
Mvogo ↔ Talbi
396p · 13.4xT
Abergel ↔ Meïté
245p · 7.5xT
Mvogo ↔ Abergel
224p · 12.1xT
Talbi ↔ Meïté
223p · 8.0xT
Meïté ↔ Bris
212p · 10.0xT
Abergel ↔ Kouassi
206p · 9.5xT
Talbi ↔ Cadiou
198p · 6.6xT
Abergel ↔ Cadiou
195p · 8.8xT
Pagis ↔ Kouassi
185p · 12.2xT
Vision AI Model Insight
Busiest connection: Laurent Abergel ↔ Montassar Talbi (408 passes). Most dangerous per pass: Théo Le Bris ↔ Arthur Avom (0.08 xT/pass over 148 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 306 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
15662
ACTIONS
Carries
the ball moved with a player
4122
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the defensive third (12.3% of all actions). 60% of actions run through the inside lanes (centre + both half-spaces) versus 40% down the two wings — an inside-dominant, half-space build. By third: 34% defensive, 47% middle, 19% 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 right (41%). The bars under the pitch put the league’s share beside theirs.
Lorient
38%21%41%
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. Lorient made 1297 this season (38.1 a match); 34% 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
365
10.7
28%
30%
Left half-space
179
5.3
14%
15%
Centre
142
4.2
11%
11%
Right half-space
175
5.1
13%
14%
Right wing
436
12.8
34%
30%
Build-up1 section
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.
5394build-up passes attempted
83%completed
26%reach the middle third
1%go long into the final third
Pass types
1621CB · 36%
297Long Wide · 7%
54Long Central · 1%
1921Wide → FB · 43%
608Central · 14%
Sequence success — build-up
1007build-up sequences this season
12%succeed — reach the next third or a shot
42%turned over with nothing to show
CB1621 · 36%
Long Wide297 · 7%
Long Central54 · 1%
Wide → FB1921 · 43%
Central608 · 14%
◆ Vision AI Insight
Lorient build predominantly down the left, with Mvogo as the fulcrum (982 build-up passes). Only 26% 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 (314×).
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. 1283 progressive passes across 34 matches (37.7/game).
Origin lane
Right wing
32%
Right half-space
14%
Central
14%
Left half-space
13%
Left wing
28%
Progression is right-dominant: 46% right side · 14% central · 40% left.
Who generates it
Arsène Kouassi
129 · 10%
Théo Le Bris
110 · 9%
Laurent Abergel
110 · 9%
Arthur Avom
103 · 8%
Yvon Mvogo
98 · 8%
Top two — Arsène Kouassi & Théo Le Bris — account for 19% of all progression.
PROGRESSION
37.7 prog passes/game
mostly right
→
PENETRATION
27% reach final third
21% reach the box
→
THREAT
the other 73% is recycled
progress ≠ danger
What came of it.27% of progressive passes reached the final third and 21% the box; the rest was recycled in front of the block. 19% 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 wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
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.
7196progression passes attempted
87%completed
16%break into the final third
14%go backward into the defensive third
Pass types
2050CB · 33%
252Long Wide · 4%
40Long Central · 1%
3074Wide → FB · 49%
843Central · 13%
Sequence success — progression
1298progression sequences this season
28%succeed — reach the next third or a shot
38%turned over with nothing to show
CB2050 · 33%
Long Wide252 · 4%
Long Central40 · 1%
Wide → FB3074 · 49%
Central843 · 13%
◆ Vision AI Insight
Lorient progress predominantly down the left, with Abergel the busiest midfield outlet (868 progression passes). Only 16% of passes that start in midfield actually break the final-third line — the rest (70%) 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 (331×) — 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
38%
14% of passes are progressive-or-better; the remaining 86% 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?
1072 progressive carries this season across the whole squad (26% of 4122 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 56m. Most active carrier: Talbi (156). Filter to one player below.
First (380)Second (297)Third (224)Fourth (171)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.
385shots
43.0xG
0.11xG per shot
31big chances (0.3+ xG)
47goals
#12key passes / game in the league
#13box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition25% of shots
98
12
11.50
0.12
Cross
8
0
1.30
0.16
Cut-back
14
1
2.25
0.16
Long ball
4
0
0.55
0.14
Pass into the box / short pass
53
7
4.96
0.09
Own creation (carry, dribble, rebound)
19
4
2.44
0.13
Settled attack53% of shots
204
24
20.28
0.10
Cross
49
7
5.90
0.12
Cut-back
23
5
2.64
0.11
Long ball
9
0
0.59
0.07
Pass into the box / short pass
72
5
6.62
0.09
Own creation (carry, dribble, rebound)
51
7
4.54
0.09
Set piece22% of shots
83
11
11.23
0.14
Corner
60
6
5.29
0.09
Free kick
16
2
0.38
0.02
Penalty
7
3
5.56
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
Arsène Kouassi
27
3.84
5
Pablo Pagis
28
2.72
4
Arthur Avom
25
2.60
1
Dermane Karim
17
2.23
2
Jean-Victor Makengo
24
1.75
3
Who takes them
Player
Shots
xG
Goals
Bamba Dieng
46
7.83
10
Pablo Pagis
59
6.61
10
Aiyegun Tosin
30
5.75
5
Sambou Soumano
28
5.69
4
Jean-Victor Makengo
38
3.27
4
Vision AI Model Insight
The biggest source of Lorient's chances, by xG, is settled attack (20.3 of 43.0 xG, 204 of 385 shots), mostly pass into the box / short pass. 98 of the 385 shots (25%) came within 15 seconds of winning the ball. 83 of the 385 shots came from set pieces; 47 goals from 43.0 xG (+4.0).
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
18CB · 7%
12Long Wide · 5%
31Long Central · 12%
68Wide → FB · 26%
129Central · 50%
Sequence success — final-third
824final-third sequences this season
25%succeed — produce a shot
37%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
CB18 · 7%
Long Wide12 · 5%
Long Central31 · 12%
Wide → FB68 · 26%
Central129 · 50%
Who creates — volume × threat
43Pagis
31Kouassi
30Avom
24Makengo
16Abergel
15Karim
15Yongwa
258key passes #12 of 18
10.6box entries/game #13 of 18
30.1final-3rd entries/game #9 of 18
1.26xG/game #10 of 18
47goals #9 of 18
+4.0finishing vs xG #7 of 18
◆ Vision AI Insight
Lorient lean right — 41% of their key passes come from that flank and its half-space (105 of 258), most often from Pagis (18). They funnel chances into the c of the final third, most often via RW att → C att (39 key passes, most often from Pagis). Pagis is the primary source overall. They generate 1.26 xG a game and finish it clinical — they beat their xG, led by Bamba Dieng (10G), Pablo Pagis (10G), Aiyegun Tosin (5G).
Crosses & Cutbacks — squad-wide
The question
How does Lorient deliver into the box from wide areas, and what comes of it?
443 crosses: 147 found a team-mate (33%), 57 led to a shot (13%). 86 cut-backs: 47 found a team-mate (55%), 32 led to a shot (37%). 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?
443 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 byline right wing; 21 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · right wing
125
28%
15
advanced · right wing
84
19%
9
byline · left wing
84
19%
12
advanced · left wing
77
17%
14
deep · right wing
30
7%
2
deep · left wing
22
5%
2
advanced · left half-space
9
2%
1
byline · right half-space
4
1%
0
byline · left half-space
4
1%
1
advanced · right half-space
3
1%
1
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
385 shots for 43.0 xG (1.26/game, #10 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 11.3 shots/game at 0.112 xG/shot. Box entries 11/game (#13). Threat created 9.7 xT/game (#10).
Goal Sequences
The move behind each of Lorient’s 48 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 — 48 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
36 · 77%
Set pieces
8 · 17%
Penalties
3 · 6%
By finish
Right foot
32 · 68%
Left foot
12 · 26%
Header
3 · 6%
Vision AI Model Insight
47 goals scored. 77% come in open play; set pieces add 17%. 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
845
Failed forward pass
578
Failed take-on
317
Lost in the defensive third
893
Their weakest zone is the left half-space in the attacking third: 32% of 455 pass attempts there are lost (147 times). Separately, 32% 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.
14
Pressing Index /100 · passive
Intensity11
PPDA, high-press share, high-zone actions
Height0
how high up the pitch they defend
Effectiveness6
high recoveries & high-regain share
Disruption44
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
19%
RHS
21%
C
21%
LHS
21%
LW
19%
By third (high / mid / low regain)
Def 58%
Mid 32%
Att 10%
Read
Ranked #16 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, 48% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#16/18
lower = more intense; rank is what matters
Defensive actions / game
125
#12/18
High-press share
17%
#16/18
def actions won high up
Defensive-action height (0–100)
33.5
#18/18
avg pitch height of actions
High recoveries / game
18.6
#17/18
ball won in mid+att third
High-recovery share
48%
#17/18
share of recoveries won high
Opponent completion allowed
85%
#17/18
lower = more disruptive
Opponent progressive allowed
7.9%
#3/18
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 1051 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 7.6 opponent passes in the first half-hour and after 4.6 after the hour mark (sooner).
PASSES THEY GET
5.9passes
median 3 · before Lorient win it
TIME THEY KEEP IT
17sec
median 8s · 30.9 wins per game
How many passes the opponent got in before the ball was won
39%
25%
16%
20%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.8
20s
15–30′
8.5
25s
30–45+′
6.5
18s
45–60′
5.2
15s
60–75′
5.2
16s
75–90+′
4.1
12s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Lorient 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.
5,793phase segments analysed
9.0smedian time before the opposition engage
2.0their passes per defensive action when pressed
#18of 18 for share of defending spent pressing high
High press 4.0%Mid block 9.5%Low block 58.1%Unopposed 28.5%
What opponents do against Lorient
The mirror image, and the part no other section can show: whether teams come
out to press Lorient 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 7.7%Mid block 13.8%Low block 44.3%Unopposed 34.2%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
1,960
6.3s
3.5
0.3%
48.3%
Progression
2,344
7.1s
4.2
0.4%
44.3%
Chance creation
1,353
5.1s
3.3
25.4%
51.4%
Attacking transition
136
6.8s
4.2
0.7%
36.0%
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
761
0.5%
progression
489
0.2%
build_up → progression
324
0.0%
chance_creation
281
44.1%
progression → chance_creation
258
28.7%
build_up → progression → chance_creation
155
29.0%
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) 5,394 passes
nothing unusual in this zone
Width of use+0.2021.42
Wide-channel share+0.350.33
Side bias+0.150.74
Pass length-0.5720.63
Long-ball share-0.420.19
Forward gain per pass-0.539.14
Backward-pass share+0.610.23
Deep-pass share-0.320.26
Completion+0.440.83
Seconds between passes-0.003.32
Side used
left 30% · central 43% · right 27%
Progression (middle third) 7,196 passes
nothing unusual in this zone
Width of use+0.0625.69
Wide-channel share+0.160.41
Side bias-0.07-0.24
Pass length+0.1817.48
Long-ball share-0.160.09
Forward gain per pass-0.432.95
Backward-pass share+0.840.37
Deep-pass share+0.090.17
Completion+0.260.86
Seconds between passes+0.423.38
Side used
left 36% · central 28% · right 36%
Final third 3,072 passes
nothing unusual in this zone
Width of use+0.2932.34
Wide-channel share+0.490.63
Side bias-0.44-3.55
Pass length+0.2115.79
Long-ball share-0.300.09
Forward gain per pass-0.670.15
Backward-pass share+0.550.42
Deep-pass share+0.030.09
Completion+0.310.72
Seconds between passes+0.173.53
Side used
left 38% · central 15% · right 47%
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%
#16 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
#8 of 18
Counter-attack shots /game0.76
#18 of 18 · shot within 12s of a regain in own half
Press→shot /game2.40
#16 of 18 · shot within 8s of a high regain
Speed to final third after regain14.6s
#15 of 18 · lower = faster break
Sequence success — attacking transition
116attacking transition sequences this season
23%succeed — produce a shot
41%turned over with nothing to show
Sequence success — defensive transition
266defensive transition sequences this season
61%succeed — reach the next third or a shot
9%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 (#16 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 (#18), and a high regain converts to a shot within 8 seconds 2.40 times a game (#16 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? 1496 opponent progressive passes and 378 shots faced (42.5 xG against) across the season.
Opponent threat by lane (attacking into Lorient)
Right wing
28%
Right half-space
15%
Central
15%
Left half-space
12%
Left wing
30%
Where the danger came from. Opponents generated most of their threat through the left wing (30% 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 (272 total)
By situation
Open play
34 · 72%
Set pieces
9 · 19%
Penalties
4 · 9%
Vision AI Model Insight
47 goals conceded. 72% come in open play; set pieces account for only 19%, so dead-ball defending is not the main issue. 15% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (19% 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
36 g · 31.8 xG
Set pieces
8 g · 5.7 xG
Penalties
3 g
17% of goals come from set pieces (8 of 47), worth 5.7 xG from 76 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Lorient's corners go?
119 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 (63)
Delivered into the box 94%Short 6%
Left side (56)
Delivered into the box 91%Short 9%
Where opponents attack Lorient from set pieces
69 shots from opponent corners against Lorient, 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 (35)
Shot 35Goals 5
Left flag (34)
Shot 34Goals 4
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
none stand out
Weaknesses (bottom-third vs league)
press intensity (PPDA) — 9.08 (11th pct)
field tilt % — 42.73 (11th pct)
progression /game — 37.74 (22th pct)
box entries /game — 10.59 (28th pct)
Style Archetype & Similar Teams
Team archetype: Direct / counter high-press. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Angers
79%
Metz
70%
Nantes
43%
Paris FC
42%
Nice
36%
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 (11m)
1.27
2.00
1.27
vs mid-block opponents (11m)
1.45
1.27
1.36
vs low-block opponents (12m)
1.50
1.25
1.33
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
78%
16%
32
7.6
6.2
vs mid-block opponents
83%
12%
40
10.0
12.0
vs low-block opponents
85%
10%
40
11.3
13.3
Vision AI Model Insight
Facing a high press, retention drops to 78% vs 85% against a low block (7pt lower under pressure), and directness (long-ball share) sits at 16% when pressed vs 10% 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. Lorient are territorially-dominated with a aggressive high-press.
Their attack creates 1.26 xG a game and they concede 1.25 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 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).
+19.1on-ball value, 12 matches
Where the value came from
Passes5546 actions+8.34
Carries1423 actions-1.69
Dribbles182 actions+0.32
Shots132 actions+8.46
Ball wins671 actions+3.72
Most on-ball value (OBV)
Actions
OBV
per 100
Bamba Dieng
206
+3.91
+1.90
Pablo Pagis
466
+2.64
+0.57
Noah Cadiou
1046
+2.00
+0.19
Panos Katseris
373
+1.74
+0.47
Darlin Yongwa
270
+1.27
+0.47
Aiyegun Tosin
111
+1.03
+0.93
Yvon Mvogo
568
+1.00
+0.18
Arthur Avom
696
+0.95
+0.14
Biggest single moves
OBV
1 Bamba Dieng · shot
+0.868
2 Pablo Pagis · shot
+0.820
3 Bamba Dieng · shot
+0.793
4 Panos Katseris · pass
+0.454
5 Panos Katseris · pass
+0.409
6 Bamba Dieng · shot
+0.374
Set Pieces by Player
Who delivers Lorient’s dead balls and who finishes them this season. 119 corners taken, most by Pablo Pagis (62); 76 shots from corners and free kicks, 8 goals, led by Bamba Dieng (2 goals, 1.25 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
Pablo Pagis
62
51 (82%)
15
1
0.43
9
2/2
Arsène Kouassi
38
28 (74%)
5
1
0.15
4
—
Bamba Dieng
—
—
7
2
1.25
1
1/2
Laurent Abergel
—
—
8
—
0.33
—
—
Arthur Avom
10
6 (60%)
3
—
0.06
1
—
Montassar Talbi
—
—
6
—
0.35
—
—
Aiyegun Tosin
—
—
4
1
0.34
—
0/1
Abdoulaye Faye
—
—
4
—
0.18
—
—
Bamo Meïté
—
—
4
—
0.23
—
—
Igor Silva
1
1 (100%)
3
—
0.26
1
—
Panos Katseris
—
—
3
—
0.17
—
—
Nathaniel Adjei
—
—
3
—
0.16
—
—
Jean-Victor Makengo
1
1 (100%)
2
1
0.70
—
—
Noah Cadiou
1
0 (0%)
2
1
0.41
—
—
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
Pablo Pagis
M
1801
2.15
59
22.9
Arthur Avom
M
2275
1.19
49
32.2
Arsène Kouassi
M
2741
1.02
44
24.0
Jean-Victor Makengo
M
1862
1.16
22
9.9
Théo Le Bris
M
1970
0.59
27
16.7
Darlin Yongwa
D
1524
0.89
22
16.5
Dermane Karim
M
1472
0.92
19
11.0
Laurent Abergel
M
2440
0.59
18
36.7
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)
Théo Le Bris
W
1970
24 (33%)
24 (38%)
Darlin Yongwa
FB
1524
21 (33%)
9 (22%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Montassar Talbi
D
2779
477
22
26
89
Bamo Meïté
D
2108
353
28
13
64
Arthur Avom
M
2275
308
55
30
127
Laurent Abergel
M
2440
304
35
27
128
Arsène Kouassi
M
2741
283
26
23
117
Abdoulaye Faye
D
1539
279
32
28
49
Noah Cadiou
M
2039
261
24
23
112
Théo Le Bris
M
1970
221
40
17
57
Full Squad Data
Every player with 100+ minutes (23 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Yvon Mvogo
G
31
2977
0
0.0
0
98
56
27.5
Montassar Talbi
D
29
2779
0
0.8
4
81
477
27.6
Arsène Kouassi
M
31
2741
2
0.5
31
129
283
24.0
Laurent Abergel
M
28
2440
1
0.9
16
110
304
36.7
Arthur Avom
M
31
2275
2
1.2
30
103
308
32.2
Bamo Meïté
D
25
2108
0
0.5
5
79
353
18.7
Noah Cadiou
M
28
2039
3
1.6
11
64
261
22.2
Théo Le Bris
M
28
1970
2
1.3
13
110
221
16.7
Jean-Victor Makengo
M
31
1862
4
3.3
24
35
182
9.9
Pablo Pagis
M
28
1801
10
6.6
43
96
213
22.9
Abdoulaye Faye
D
17
1539
0
0.5
1
77
279
18.5
Darlin Yongwa
D
23
1524
0
0.6
15
66
209
16.5
Dermane Karim
M
30
1472
1
1.3
15
41
182
11.0
Igor Silva
D
17
1295
1
0.5
7
65
169
14.7
Bamba Dieng
F
22
1255
10
7.8
4
4
114
1.2
Aiyegun Tosin
F
27
1183
5
5.7
10
12
56
4.4
Sambou Soumano
F
31
1077
4
5.7
9
5
126
1.9
Nathaniel Adjei
D
15
919
0
0.3
1
26
128
7.6
Panos Katseris
M
16
811
1
1.0
10
44
117
7.2
Mohamed Bamba
F
18
744
1
2.3
6
8
77
1.7
Joel Mvuka
M
15
627
0
0.5
3
15
81
2.8
Bingourou Kamara
G
3
289
0
0.0
0
9
6
2.5
Formose Mendy
D
2
144
0
0.0
0
5
36
1.7
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
minutes2977
goals · xG0 · 0.0
prog passes /903.0
key passes /900.00
def actions /901.7
pass accuracy80%
Montassar Talbi
Stopper / marker · Defender
minutes2779
goals · xG0 · 0.8
prog passes /902.6
key passes /900.13
def actions /9015.4
pass accuracy89%
Arsène Kouassi
Ball-winner / destroyer · Midfielder
minutes2741
goals · xG2 · 0.5
prog passes /904.2
key passes /901.02
def actions /909.3
pass accuracy80%
Laurent Abergel
Ball-winner / destroyer · Midfielder
minutes2440
goals · xG1 · 0.9
prog passes /904.1
key passes /900.59
def actions /9011.2
pass accuracy88%
Arthur Avom
Ball-winner / destroyer · Midfielder
minutes2275
goals · xG2 · 1.2
prog passes /904.1
key passes /901.19
def actions /9012.2
pass accuracy82%
Bamo Meïté
Stopper / marker · Defender
minutes2108
goals · xG0 · 0.5
prog passes /903.4
key passes /900.21
def actions /9015.1
pass accuracy85%
Noah Cadiou
Ball-winner / destroyer · Midfielder
minutes2039
goals · xG3 · 1.6
prog passes /902.8
key passes /900.49
def actions /9011.5
pass accuracy87%
Théo Le Bris
Ball-winner / destroyer · Midfielder
minutes1970
goals · xG2 · 1.3
prog passes /905.0
key passes /900.59
def actions /9010.1
pass accuracy79%
Jean-Victor Makengo
Box-to-box midfielder · Midfielder
minutes1862
goals · xG4 · 3.3
prog passes /901.7
key passes /901.16
def actions /908.8
pass accuracy81%
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) (11th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (9.08, 11th percentile vs the league).
Need — bottom-third: field tilt % (11th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (42.73, 11th percentile vs the league).
Need — bottom-third: progression /game (22th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (37.74, 22th percentile vs the league).
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