Combining every season — this one is larger, give it a moment.
Team reportLigue 1 2025/26
Lyon
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Finished #5 of 20 on 74 points (22-8-12, 66:47). Tactical profile below is built from 42 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is Lyon and how good was the season?
Read. Lyon finished #5 of 20 on 74 points (22W-8D-12L, 1.76 pts/game), scoring 66 and conceding 47 for a goal difference of +19.
On the ball they are a balanced-territory team (52% field tilt, #8 in the league); off it they defend with a aggressive high-press (#11 of 20 for press intensity).
Across the 42 matches of event data, they create 1.42 xG/game (#5) and concede 1.21 (#5), a net of +0.21 xG/game — the underlying performance diverges from the actual goal difference.
Season Context — the league table
The question
Where did Lyon actually finish, and against whom?
The authoritative final table (full season), centred on Lyon.
#
team
P
W
D
L
GF
GA
GD
Pts
2
Lens
42
26
5
11
82
47
+35
83
3
Lille
42
22
10
10
63
43
+20
76
4
Rennes
42
22
9
11
77
64
+13
75
5
Lyon
42
22
8
12
66
47
+19
74
6
Marseille
42
22
5
15
81
58
+23
71
7
Monaco
42
20
9
13
71
61
+10
69
8
Strasbourg
42
17
9
16
70
65
+5
60
Match Momentum — when they create and concede danger
The question
Across a whole game, which periods does Lyon 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
Lyon tend to come alive after the break — first-half net xG +2.60, second-half +6.03. Their strongest period is 46-60' (net +2.85 xG); their most dangerous period to face is 16-30' (net -0.67 xG against them).
xG Race — the season, match by match
Expected goals piling up over 42 matches: Lyon 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 (+8.6 xG). Hover a point for that match.
LyonOpponents against Lyon
Tactical DNA
The football question
In five genes, what is Lyon'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.
62
Build-Up
possession control from the back
55
Progression
moving the ball upfield with threat
62
Creation
manufacturing chances
52
Press
winning the ball high & hard
75
Solidity
resisting the opponent's threat
Genetic identity
Lyon are defined most by their Solidity DNA (75/100 · strong at resisting the opponent's threat), and least by their Press DNA (52/100). 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
80%
Possession
80%
Field tilt
60%
Disrupt
Central progression ~proxy
70%
Dribble tendency
20%
Progressive passes
45%
Finish
Final-third patience
70%
Shot quality
90%
Open-play xG
75%
Press
Forward press ~proxy
45%
High regains
35%
Pressing efficiency ~proxy
45%
Defend
Def-mid press ~proxy
65%
High line ~proxy
45%
PAdj defensive actions
60%
Lyon is defined most by Finish (78% in the league) and weakest on Press (42%). 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 Lyon actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across Lyon'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; Lyon highlighted. Hover any dot for the team.
Vision AI Model Insight
Lyon post 52% field tilt, ranking #8 of 20 in the league — comfortably above the league mid-point for territorial control, and their 1.76 points/game sits above the league-average return — territory is genuinely converting into results.
Where the time goes — how long each phase lasts
The question
When Lyon has the ball, how much of that time is spent building, progressing and creating?
The share of Lyon'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
28.3%
Progression
48.0%
Chance creation
21.5%
Attacking transition
2.2%
Vision AI Model Insight
Progression is where Lyon spends most of its time on the ball (48% of its time on the ball).
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Niakhaté ↔ Mata
608p · 8.2xT
Maitland-Niles ↔ Mata
567p · 22.9xT
Niakhaté ↔ Greif
478p · 17.7xT
Mata ↔ Greif
368p · 12.4xT
Niakhaté ↔ Morton
344p · 9.9xT
Mata ↔ Morton
344p · 11.6xT
Niakhaté ↔ Vinícius
343p · 21.1xT
Tolisso ↔ Niakhaté
332p · 20.3xT
Tagliafico ↔ Niakhaté
269p · 10.6xT
Niakhaté ↔ Tessmann
260p · 7.9xT
Vision AI Model Insight
Busiest connection: Moussa Niakhaté ↔ Clinton Mata (608 passes). Most dangerous per pass: Abner Vinícius ↔ Afonso Moreira (0.08 xT/pass over 206 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where Lyon 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 Lyon 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
21221
ACTIONS
Carries
the ball moved with a player
5232
ACTIONS
Vision AI Model Insight
Their single busiest zone is the centre of the middle third (11.0% 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: 30% defensive, 50% middle, 20% 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. Lyon leaned on their left (42%). The bars under the pitch put the league’s share beside theirs.
Lyon
42%22%35%
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. Lyon made 1820 this season (43.3 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
587
14.0
32%
30%
Left half-space
306
7.3
17%
15%
Centre
191
4.5
10%
11%
Right half-space
206
4.9
11%
14%
Right wing
530
12.6
29%
31%
Build-up2 sections
Build-Up — the pass map
The football question
How does Lyon 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.
6378build-up passes attempted
85%completed
26%reach the middle third
1%go long into the final third
Pass types
2267CB · 42%
304Long Wide · 6%
40Long Central · 1%
2256Wide → FB · 42%
540Central · 10%
Sequence success — build-up
973build-up sequences this season
11%succeed — reach the next third or a shot
40%turned over with nothing to show
CB2267 · 42%
Long Wide304 · 6%
Long Central40 · 1%
Wide → FB2256 · 42%
Central540 · 10%
◆ Vision AI Insight
Lyon build predominantly down the right, with Greif as the fulcrum (1024 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 (418×).
Pass Explorer
Every pass of Lyon’s last 10 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 1746 progressive passes across 42 matches (41.6/game).
Origin lane
Right wing
30%
Right half-space
11%
Central
13%
Left half-space
14%
Left wing
33%
Progression is left-dominant: 41% right side · 13% central · 47% left.
Who generates it
Abner Vinícius
189 · 11%
Moussa Niakhaté
175 · 10%
Ainsley Maitland-Niles
156 · 9%
Corentin Tolisso
143 · 8%
Tyler Morton
129 · 7%
Top two — Abner Vinícius & Moussa Niakhaté — account for 21% of all progression.
PROGRESSION
41.6 prog passes/game
mostly left
→
PENETRATION
28% reach final third
22% reach the box
→
THREAT
the other 72% is recycled
progress ≠ danger
What came of it.28% of progressive passes reached the final third and 22% the box; the rest was recycled in front of the block. 21% of the progression ran through two players, mostly down the left side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once Lyon 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.
10368progression passes attempted
88%completed
15%break into the final third
11%go backward into the defensive third
Pass types
2849CB · 31%
371Long Wide · 4%
55Long Central · 1%
4581Wide → FB · 50%
1257Central · 14%
Sequence success — progression
1668progression sequences this season
28%succeed — reach the next third or a shot
38%turned over with nothing to show
CB2849 · 31%
Long Wide371 · 4%
Long Central55 · 1%
Wide → FB4581 · 50%
Central1257 · 14%
◆ Vision AI Insight
Lyon progress predominantly down the left, with Niakhaté the busiest midfield outlet (1200 progression passes). Only 15% of passes that start in midfield actually break the final-third line — the rest (73%) is recycled back into midfield or (11%) 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 → C mid (464×) — 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 Lyon actually progress the ball with their feet, not a pass?
1288 progressive carries this season across the whole squad (25% of 5173 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 61m. Most active carrier: Niakhaté (211). Filter to one player below.
First (445)Second (302)Third (286)Fourth (255)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 Lyon'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.
513shots
59.4xG
0.12xG per shot
34big chances (0.3+ xG)
65goals
#9key passes / game in the league
#8box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition27% of shots
139
20
17.52
0.13
Cross
12
3
1.93
0.16
Cut-back
8
3
1.37
0.17
Long ball
7
3
0.87
0.12
Pass into the box / short pass
73
11
10.15
0.14
Own creation (carry, dribble, rebound)
39
0
3.21
0.08
Settled attack55% of shots
280
33
29.99
0.11
Cross
48
8
5.25
0.11
Cut-back
31
6
5.06
0.16
Long ball
15
1
0.85
0.06
Pass into the box / short pass
129
12
12.19
0.09
Own creation (carry, dribble, rebound)
57
6
6.64
0.12
Set piece18% of shots
94
12
11.92
0.13
Corner
77
9
7.66
0.10
Free kick
12
0
0.29
0.02
Penalty
5
3
3.97
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
Corentin Tolisso
41
4.26
6
Afonso Moreira
28
4.07
6
Pavel Sulc
33
4.07
6
Abner Vinícius
28
3.49
3
Endrick
23
2.85
6
Who takes them
Player
Shots
xG
Goals
Corentin Tolisso
62
10.27
12
Pavel Sulc
50
8.56
12
Endrick
50
5.25
5
Afonso Moreira
40
3.05
4
Ainsley Maitland-Niles
14
2.57
1
Vision AI Model Insight
The biggest source of Lyon's chances, by xG, is settled attack (30.0 of 59.4 xG, 280 of 513 shots), mostly pass into the box / short pass. 139 of the 513 shots (27%) came within 15 seconds of winning the ball. 94 of the 513 shots came from set pieces; 65 goals from 59.4 xG (+5.6).
Chance Creation — the pass map
The football question
How does Lyon 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
21CB · 6%
19Long Wide · 5%
29Long Central · 8%
99Wide → FB · 28%
187Central · 53%
Sequence success — final-third
1222final-third sequences this season
24%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
CB21 · 6%
Long Wide19 · 5%
Long Central29 · 8%
Wide → FB99 · 28%
Central187 · 53%
Who creates — volume × threat
40Tolisso
34Morton
32Moreira
28Vinícius
28Sulc
26Endrick
19Karabec
355key passes #9 of 20
13.3box entries/game #8 of 20
34.3final-3rd entries/game #7 of 20
1.42xG/game #5 of 20
65goals #7 of 20
+5.6finishing vs xG #7 of 20
◆ Vision AI Insight
Lyon lean left — 42% of their key passes come from that flank and its half-space (149 of 355), most often from Vinícius (25). They funnel chances into the c of the final third, most often via LHS att → C att (50 key passes, most often from Moreira). Tolisso is the primary source overall. They generate 1.42 xG a game and finish it clinical — they beat their xG, led by Corentin Tolisso (12G), Pavel Sulc (12G), Endrick (5G).
Crosses & Cutbacks — squad-wide
The question
How does Lyon deliver into the box from wide areas, and what comes of it?
570 crosses: 179 found a team-mate (31%), 62 led to a shot (11%). 140 cut-backs: 63 found a team-mate (45%), 34 led to a shot (24%). 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 Lyon actually cross from?
570 crosses this season (the same crosses as the map above), split into fifteen territories — five channels (both wings, both half-spaces and the centre) by three depths from the halfway line to the byline. 23% come from one territory, the byline left wing; 32 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · left wing
129
23%
13
advanced · left wing
124
22%
14
advanced · right wing
118
21%
13
byline · right wing
112
20%
13
deep · right wing
28
5%
3
deep · left wing
27
5%
1
byline · left half-space
9
2%
2
byline · right half-space
8
1%
3
advanced · right half-space
6
1%
0
advanced · left half-space
6
1%
0
deep · left half-space
2
0%
0
deep · right half-space
1
0%
0
Finishing3 sections
Shot Map
513 shots for 59.4 xG (1.42/game, #5 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 12.2 shots/game at 0.116 xG/shot. Box entries 13/game (#8). Threat created 10.7 xT/game (#7).
Goal Sequences
The move behind each of Lyon’s 66 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 — 66 goals traced.
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal Lyon scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
53 · 82%
Set pieces
9 · 14%
Penalties
3 · 5%
By finish
Right foot
37 · 57%
Left foot
17 · 26%
Header
11 · 17%
Vision AI Model Insight
65 goals scored. 82% come in open play; set pieces add 14%. 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
1305
Failed forward pass
858
Failed take-on
396
Lost in the defensive third
971
Their weakest zone is the right half-space in the attacking third: 35% of 574 pass attempts there are lost (203 times). Separately, 37% 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 Lyon 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.
41
Pressing Index /100 · average
Intensity37
PPDA, high-press share, high-zone actions
Height45
how high up the pitch they defend
Effectiveness32
high recoveries & high-regain share
Disruption58
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
20%
RHS
18%
C
21%
LHS
21%
LW
21%
By third (high / mid / low regain)
Def 50%
Mid 36%
Att 14%
Read
Ranked #11 of 20 for press intensity, this is a high press. 50% of defensive actions happen in the middle & attacking thirds, at an average height of 37. Of recoveries, 53% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#11/20
lower = more intense; rank is what matters
Defensive actions / game
125
#16/20
High-press share
21%
#11/20
def actions won high up
Defensive-action height (0–100)
37.3
#11/20
avg pitch height of actions
High recoveries / game
20.5
#16/20
ball won in mid+att third
High-recovery share
53%
#11/20
share of recoveries won high
Opponent completion allowed
82%
#7/20
lower = more disruptive
Opponent progressive allowed
8.5%
#10/20
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 Lyon win it back with a defensive action?
Counted over the 1224 opposition possessions that Lyon 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 Lyon step in. Lyon win it after 5.2 opponent passes in the first half-hour and after 4.4 after the hour mark (sooner).
PASSES THEY GET
4.8passes
median 3 · before Lyon win it
TIME THEY KEEP IT
14sec
median 7s · 29.1 wins per game
How many passes the opponent got in before the ball was won
43%
29%
15%
12%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
5.1
15s
15–30′
5.3
15s
30–45+′
4.9
14s
45–60′
4.6
14s
60–75′
4.6
13s
75–90+′
4.3
13s
average passesaverage seconds
Phases of play
Every moment of the match read twice — what Lyon were doing with the
ball, and what the opposition were doing about it at that exact moment. Built from the
real action sequence in time order, so one possession is split across the phases it
genuinely passed through rather than labelled once by where it began.
6,053phase segments analysed
10.0smedian time before the opposition engage
3.0their passes per defensive action when pressed
#8of 18 for share of defending spent pressing high
High press 8.4%Mid block 13.0%Low block 47.8%Unopposed 30.9%
What opponents do against Lyon
The mirror image, and the part no other section can show: whether teams come
out to press Lyon 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 6.9%Mid block 11.0%Low block 50.9%Unopposed 31.1%
Which phases actually produce
Phase
Segments
Avg length
Avg actions
Ends in shot
Turned over
Build-up
1,834
6.2s
3.6
0.3%
44.9%
Progression
2,548
7.6s
4.4
0.4%
44.2%
Chance creation
1,550
5.6s
3.2
24.6%
51.4%
Attacking transition
121
7.5s
4.8
2.5%
40.5%
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
664
0.3%
progression
561
0.2%
chance_creation
338
29.9%
build_up → progression
312
0.0%
progression → chance_creation
289
31.8%
build_up → progression → chance_creation
179
27.9%
Attitude in each third
Every other style number here says how much Lyon 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 Lyon 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) 6,378 passes
nothing unusual in this zone
Width of use+0.2821.59
Wide-channel share+0.140.31
Side bias+0.160.74
Pass length-0.7020.17
Long-ball share-0.670.16
Forward gain per pass-0.698.46
Backward-pass share+0.470.22
Deep-pass share-0.610.23
Completion+0.630.85
Seconds between passes-0.503.02
Side used
left 30% · central 43% · right 28%
Progression (middle third) 10,368 passes
nothing unusual in this zone
Width of use+0.0825.74
Wide-channel share+0.090.41
Side bias+0.562.29
Pass length-0.1017.09
Long-ball share-0.160.09
Forward gain per pass-0.333.10
Backward-pass share+0.240.35
Deep-pass share-0.350.14
Completion+0.480.87
Seconds between passes-0.013.19
Side used
left 38% · central 29% · right 32%
Final third 4,475 passes
nothing unusual in this zone
Width of use+0.0331.68
Wide-channel share-0.010.58
Side bias+0.493.00
Pass length+0.0915.62
Long-ball share-0.090.10
Forward gain per pass-0.350.58
Backward-pass share+0.400.41
Deep-pass share+0.030.09
Completion+0.020.70
Seconds between passes+0.013.40
Side used
left 47% · central 16% · right 37%
Reference measured across roughly 3,500 match-teams
in this competition, per third, so the comparison is with Lyon'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 Lyon 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%
#12 of 20 · reaches final third in ≤3 passes
Patient build-up share33%
#4 of 20 · spells of 6+ passes
Tempo (possession length)22.0s
#18 of 20 · shorter = faster tempo
Passes per possession5.2
#5 of 20
Counter-attack shots /game1.00
#12 of 20 · shot within 12s of a regain in own half
Press→shot /game2.81
#11 of 20 · shot within 8s of a high regain
Speed to final third after regain14.8s
#18 of 20 · lower = faster break
Sequence success — attacking transition
107attacking transition sequences this season
11%succeed — produce a shot
45%turned over with nothing to show
Sequence success — defensive transition
327defensive transition sequences this season
66%succeed — reach the next third or a shot
9%turned over with nothing to show
Vision AI Model Insight
Lyon are a patient build-up side: 16% of possessions reach the final third in 3 passes or fewer (#12 of 20), against 33% built patiently over 6+ passes (#4 of 20). Winning the ball back leads to a shot inside 12 seconds 1.00 times a game (#12), and a high regain converts to a shot within 8 seconds 2.81 times a game (#11 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 Lyon? 1611 opponent progressive passes and 507 shots faced (50.8 xG against) across the season.
Opponent threat by lane (attacking into Lyon)
Right wing
31%
Right half-space
14%
Central
15%
Left half-space
10%
Left wing
30%
Where the danger came from. Opponents generated most of their threat through the right wing (31% of the danger conceded).
How Do They Concede?
The question
Where do the goals against Lyon actually come from — open play, dead balls, and who supplies them?
Every goal Lyon conceded across the loaded matches — the opponent's shots in Lyon'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 (362 total)
By situation
Open play
36 · 80%
Set pieces
7 · 16%
Penalties
2 · 4%
Vision AI Model Insight
45 goals conceded. 80% come in open play; set pieces account for only 16%, so dead-ball defending is not the main issue. 13% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right half-space of the attacking third (17% 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
53 g · 47.5 xG
Set pieces
9 g · 7.9 xG
Penalties
3 g
14% of goals come from set pieces (9 of 65), worth 7.9 xG from 89 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Lyon's corners go?
234 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 (101)
Delivered into the box 94%Short 6%
Left side (133)
Delivered into the box 98%Short 2%
Where opponents attack Lyon from set pieces
80 shots from opponent corners against Lyon, 7 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 (29)
Shot 29Goals 2
Left flag (51)
Shot 51Goals 5
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG created /game — 1.42 (75th pct)
xG conceded /game — 1.21 (75th pct)
threat created /game — 10.67 (65th pct)
pass retention % — 83.36 (65th pct)
Weaknesses (bottom-third vs league)
none stand out
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.
PSG
78%
Marseille
75%
Lille
65%
Lens
58%
Strasbourg
56%
Performance vs Opponent Styles
The question
Not just how Lyon 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 Lyon's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (14m)
1.29
0.86
1.71
vs mid-block opponents (14m)
1.86
1.36
1.86
vs low-block opponents (14m)
1.57
1.14
1.71
Behaviour — how Lyon actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
81%
13%
34
8.9
10.9
vs mid-block opponents
84%
12%
45
11.2
13.5
vs low-block opponents
84%
10%
45
11.9
15.5
Vision AI Model Insight
Facing a high press, retention drops to 81% vs 84% against a low block (4pt lower under pressure), and directness (long-ball share) sits at 13% when pressed vs 10% against a low block — a mild adjustment, not a wholesale change.
Scouting Summary — the team in brief
In brief. Lyon are balanced-territory with a aggressive high-press.
Their attack creates 1.42 xG a game and they concede 1.21 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 Lyon’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.
Lyon
across 42 matches this season
PPDAat PSG · 2-1 · 2026-04-1919.9avg 7.1
Pass accuracyat PSG · 2-1 · 2026-04-1973%avg 83%
Progressive passesat Le Havre · 0-0 · 2026-03-1582avg 42
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 Lyon’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).
+22.6on-ball value, 12 matches
Where the value came from
Passes5914 actions+11.53
Carries1522 actions-1.28
Dribbles188 actions+1.16
Shots158 actions+7.62
Ball wins676 actions+3.58
Most on-ball value (OBV)
Actions
OBV
per 100
Corentin Tolisso
670
+3.76
+0.56
Zachary Athekame
567
+2.07
+0.37
Abner Vinícius
748
+1.86
+0.25
Afonso Moreira
269
+1.42
+0.53
Dominik Greif
479
+1.39
+0.29
Pavel Sulc
257
+1.29
+0.50
Kaïl Boudache
200
+1.22
+0.61
Endrick
175
+1.21
+0.69
Biggest single moves
OBV
1 Corentin Tolisso · shot
+0.837
2 Zachary Athekame · shot
+0.742
3 Pavel Sulc · take-on
+0.570
4 Ainsley Maitland-Niles · pass
+0.501
5 Zachary Athekame · pass
+0.399
6 Kaïl Boudache · shot
+0.397
Set Pieces by Player
Who delivers Lyon’s dead balls and who finishes them this season. 234 corners taken, most by Tyler Morton (60); 89 shots from corners and free kicks, 9 goals, led by Pavel Sulc (4 goals, 1.26 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
Tyler Morton
60
55 (92%)
9
—
0.23
7
—
Afonso Moreira
53
49 (92%)
5
—
0.21
1
—
Corentin Tolisso
12
11 (92%)
11
1
1.35
—
2/3
Endrick
26
23 (88%)
3
—
0.11
1
1/1
Adam Karabec
31
30 (97%)
—
—
0.00
—
—
Abner Vinícius
13
9 (69%)
3
—
0.23
—
—
Nicolás Tagliafico
1
0 (0%)
7
—
0.40
—
—
Tanner Tessmann
—
—
7
1
0.61
—
—
Pavel Sulc
—
—
7
4
1.26
—
—
Ernest Nuamah
14
13 (93%)
2
—
0.06
1
—
Martín Satriano
—
—
5
—
0.65
—
—
Ainsley Maitland-Niles
—
—
4
—
0.48
—
0/1
Clinton Mata
—
—
4
—
0.12
1
—
Rachid Ghezzal
7
5 (71%)
1
—
0.05
—
—
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
Afonso Moreira
M
1855
1.55
71
20.5
Corentin Tolisso
M
3050
1.18
52
35.3
Tyler Morton
M
3233
0.95
52
40.5
Abner Vinícius
D
2874
0.88
48
41.0
Adam Karabec
M
982
1.74
39
11.8
Endrick
F
1302
1.80
31
12.5
Pavel Sulc
F
2105
1.20
24
8.3
Ainsley Maitland-Niles
D
2703
0.60
32
31.0
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Abner Vinícius
FB
2874
29 (38%)
19 (47%)
Adam Karabec
W
982
34 (29%)
8 (50%)
Nicolás Tagliafico
FB
1505
14 (43%)
5 (40%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Moussa Niakhaté
D
3534
640
39
38
163
Corentin Tolisso
M
3050
477
43
25
145
Clinton Mata
D
3212
446
42
32
115
Tyler Morton
M
3233
364
56
25
149
Ainsley Maitland-Niles
D
2703
356
57
33
104
Tanner Tessmann
M
2360
342
32
16
137
Abner Vinícius
D
2874
290
36
9
89
Pavel Sulc
F
2105
232
30
8
54
Full Squad Data
Every player with 100+ minutes (34 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Moussa Niakhaté
D
38
3534
0
0.5
14
175
640
56.4
Dominik Greif
G
35
3366
0
0.0
2
84
115
27.4
Tyler Morton
M
36
3233
2
1.8
34
129
364
40.5
Clinton Mata
D
34
3212
0
0.2
2
90
446
36.0
Corentin Tolisso
M
38
3050
12
10.3
40
143
477
35.3
Abner Vinícius
D
33
2874
3
1.7
28
189
290
41.0
Ainsley Maitland-Niles
D
30
2703
1
2.6
18
156
356
31.0
Tanner Tessmann
M
36
2360
2
2.1
13
59
342
21.6
Pavel Sulc
F
34
2105
12
8.6
28
28
232
8.3
Afonso Moreira
M
27
1855
4
3.0
32
102
213
20.5
Nicolás Tagliafico
D
21
1505
0
1.6
12
102
224
19.6
Khalis Merah
M
27
1340
1
1.1
14
19
155
6.3
Endrick
F
16
1302
5
5.3
26
73
86
12.5
Ruben Kluivert
D
20
992
1
0.7
3
23
186
7.4
Adam Karabec
M
21
982
1
1.1
19
60
51
11.8
Hans Hateboer
D
15
889
0
0.6
1
57
93
9.8
Noah Nartey
M
18
858
3
1.0
6
12
100
5.0
Malick Fofana
M
14
849
3
2.5
11
33
51
6.0
Zachary Athekame
D
8
759
2
1.0
13
66
140
12.4
Martín Satriano
F
11
736
2
2.0
6
9
69
2.2
Felix Bacher
D
8
676
1
0.7
1
17
91
7.1
Rémy Descamps
G
7
671
0
0.0
0
11
14
4.1
Roman Yaremchuk
F
11
594
4
2.1
5
6
40
1.4
Mads Bidstrup
M
7
533
0
0.4
1
6
92
1.4
Ernest Nuamah
M
9
518
3
1.9
5
16
49
2.8
Orel Mangala
M
9
441
0
0.2
5
15
47
4.7
Mathys de Carvalho
M
12
408
0
0.4
1
7
64
3.9
Loïs Openda
F
5
403
1
2.0
5
5
42
1.4
Kaïl Boudache
M
8
326
1
2.6
5
13
46
2.3
Rachid Ghezzal
M
10
275
0
0.4
1
9
31
2.1
Rémi Himbert
F
8
231
1
0.9
2
2
28
0.4
Julien Duranville
F
3
202
0
0.3
1
6
11
1.0
Georges Mikautadze
F
2
187
1
1.0
0
0
11
0.5
Keito Nakamura
F
4
106
0
0.2
1
3
11
0.5
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.
Moussa Niakhaté
Stopper / marker · Defender
minutes3534
goals · xG0 · 0.5
prog passes /904.5
key passes /900.36
def actions /9016.3
pass accuracy90%
Dominik Greif
Goalkeeper · Goalkeeper
minutes3366
goals · xG0 · 0.0
prog passes /902.2
key passes /900.05
def actions /903.1
pass accuracy82%
Tyler Morton
Ball-winner / destroyer · Midfielder
minutes3233
goals · xG2 · 1.8
prog passes /903.6
key passes /900.95
def actions /9010.1
pass accuracy84%
Clinton Mata
Stopper / marker · Defender
minutes3212
goals · xG0 · 0.2
prog passes /902.5
key passes /900.06
def actions /9012.5
pass accuracy90%
Corentin Tolisso
Poacher / finisher · Forward
minutes3050
goals · xG12 · 10.3
prog passes /904.2
key passes /901.18
def actions /9014.1
pass accuracy82%
Abner Vinícius
Ball-playing defender · Defender
minutes2874
goals · xG3 · 1.7
prog passes /905.9
key passes /900.88
def actions /909.1
pass accuracy83%
Ainsley Maitland-Niles
Ball-playing defender · Defender
minutes2703
goals · xG1 · 2.6
prog passes /905.2
key passes /900.60
def actions /9011.9
pass accuracy84%
Tanner Tessmann
Ball-winner / destroyer · Midfielder
minutes2360
goals · xG2 · 2.1
prog passes /902.2
key passes /900.50
def actions /9013.0
pass accuracy86%
Pavel Sulc
Poacher / finisher · Forward
minutes2105
goals · xG12 · 8.6
prog passes /901.2
key passes /901.20
def actions /909.9
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 — below-average: press intensity (PPDA) (45th pct)
Sign a high-energy presser to lift defensive intensity. The data flags this because the press is passive (7.07, 45th percentile vs the league).
Need — below-average: progression /game (45th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (41.57, 45th percentile vs the league).
Need — below-average: shots /game (50th pct)
Sign a shot-taking forward to raise shot volume. The data flags this because shot volume is low (12.21, 50th percentile vs the league).
← BACK TO SEARCHSeason
