Combining every season — this one is larger, give it a moment.
Team reportLigue 1 2026
Lyon
A balanced-territory side, aggressive high-press out of possession, with a moderate attack. Currently #5 of 18 on 14 points (4-2-2, 13:7). 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 Lyon and how good was the season?
Read. Lyon currently sit #5 of 18 on 14 points (4W-2D-2L, 1.75 pts/game), scoring 13 and conceding 7 for a goal difference of +6.
On the ball they are a balanced-territory team (49% field tilt, #11 in the league); off it they defend with a aggressive high-press (#16 of 18 for press intensity).
Across the 8 matches of event data, they create 1.38 xG/game (#10) and concede 1.06 (#4), a net of +0.32 xG/game — the underlying performance matches 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
Rennes
8
5
1
2
18
14
+4
16
3
Lille
8
4
3
1
11
6
+5
15
4
Monaco
8
4
3
1
11
7
+4
15
5
Lyon
8
4
2
2
13
7
+6
14
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
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 +0.44, second-half +2.09. Their strongest period is 76-90+' (net +1.69 xG); their most dangerous period to face is 16-30' (net -0.44 xG against them).
xG Race — the season, match by match
Expected goals piling up over 8 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 (+2.5 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.
42
Build-Up
possession control from the back
11
Progression
moving the ball upfield with threat
33
Creation
manufacturing chances
25
Press
winning the ball high & hard
78
Solidity
resisting the opponent's threat
Genetic identity
Lyon are defined most by their Solidity DNA (78/100 · strong at resisting the opponent's threat), and least by their Progression 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
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 49% field tilt, ranking #11 of 18 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.75 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 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
30.7%
Progression
47.4%
Chance creation
20.1%
Attacking transition
1.8%
Vision AI Model Insight
Progression is where Lyon spends most of its time on the ball (47% 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
Athekame ↔ Bacher
147p · -1.1xT
Niakhaté ↔ Vinícius
105p · -0.7xT
Niakhaté ↔ Greif
96p · -0.1xT
Tolisso ↔ Vinícius
88p · 0.6xT
Niakhaté ↔ Bacher
72p · -0.5xT
Greif ↔ Bacher
63p · -0.1xT
Niakhaté ↔ Morton
61p · -0.0xT
Nuamah ↔ Athekame
58p · 1.3xT
Tolisso ↔ Niakhaté
55p · 0.2xT
Tolisso ↔ Morton
54p · 0.3xT
Vision AI Model Insight
Busiest connection: Zachary Athekame ↔ Felix Bacher (147 passes). Most dangerous per pass: Loïs Openda ↔ Abner Vinícius (0.04 xT/pass over 28 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 72 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
3938
ACTIONS
Carries
the ball moved with a player
1037
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left wing of the middle third (11.5% of all actions). 58% of actions run through the inside lanes (centre + both half-spaces) versus 42% down the two wings — an inside-dominant, half-space build. By third: 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 (43%). The bars under the pitch put the league’s share beside theirs.
Lyon
43%19%39%
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. Lyon made 336 this season (42.0 a match); 35% 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
116
14.5
35%
30%
Left half-space
54
6.8
16%
13%
Centre
28
3.5
8%
11%
Right half-space
45
5.6
13%
14%
Right wing
93
11.6
28%
32%
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.
1183build-up passes attempted
86%completed
26%reach the middle third
1%go long into the final third
Pass types
429CB · 42%
70Long Wide · 7%
4Long Central · 0%
447Wide → FB · 44%
62Central · 6%
Sequence success — build-up
71build-up sequences this season
8%succeed — reach the next third or a shot
37%turned over with nothing to show
CB429 · 42%
Long Wide70 · 7%
Long Central4 · 0%
Wide → FB447 · 44%
Central62 · 6%
◆ Vision AI Insight
Lyon build predominantly down the left, with Greif as the fulcrum (194 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 (90×).
Pass Explorer
Every pass of Lyon’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. 288 progressive passes across 8 matches (36.0/game).
Origin lane
Right wing
33%
Right half-space
10%
Central
14%
Left half-space
12%
Left wing
30%
Progression is right-dominant: 43% right side · 14% central · 43% left.
Who generates it
Zachary Athekame
66 · 23%
Abner Vinícius
34 · 12%
Corentin Tolisso
22 · 8%
Tyler Morton
22 · 8%
Moussa Niakhaté
21 · 7%
Top two — Zachary Athekame & Abner Vinícius — account for 35% of all progression.
PROGRESSION
36.0 prog passes/game
mostly right
→
PENETRATION
30% reach final third
22% reach the box
→
THREAT
the other 70% is recycled
progress ≠ danger
What came of it.30% of progressive passes reached the final third and 22% the box; the rest was recycled in front of the block. 35% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingefficient
Right half-spacebalanced
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.
1937progression passes attempted
88%completed
15%break into the final third
12%go backward into the defensive third
Pass types
575CB · 34%
64Long Wide · 4%
14Long Central · 1%
884Wide → FB · 52%
168Central · 10%
Sequence success — progression
128progression sequences this season
30%succeed — reach the next third or a shot
38%turned over with nothing to show
CB575 · 34%
Long Wide64 · 4%
Long Central14 · 1%
Wide → FB884 · 52%
Central168 · 10%
◆ Vision AI Insight
Lyon progress predominantly down the left, with Bacher the busiest midfield outlet (217 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 (12%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is RHS mid → RW mid (96×) — 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
49%
Safe / backward
38%
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 Lyon actually progress the ball with their feet, not a pass?
298 progressive carries this season across the whole squad (29% of 1037 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: Bacher (56). Filter to one player below.
First (100)Second (82)Third (65)Fourth (51)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.
96shots
11.0xG
0.11xG per shot
4big chances (0.3+ xG)
13goals
#7key passes / game in the league
#11box entries / game in the league
Kind of attack, then how the shot was set up
Shots
Goals
xG
xG / shot
Attacking transition30% of shots
29
3
3.74
0.13
Cross
2
0
0.30
0.15
Cut-back
2
1
0.30
0.15
Pass into the box / short pass
19
2
2.42
0.13
Own creation (carry, dribble, rebound)
6
0
0.72
0.12
Settled attack58% of shots
56
8
6.33
0.11
Cross
13
1
1.20
0.09
Cut-back
5
0
0.61
0.12
Long ball
3
0
0.16
0.05
Pass into the box / short pass
25
4
1.74
0.07
Own creation (carry, dribble, rebound)
10
3
2.62
0.26
Set piece11% of shots
11
2
0.96
0.09
Corner
9
2
0.91
0.10
Free kick
2
0
0.05
0.03
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
Zachary Athekame
11
1.15
2
Pavel Sulc
9
1.01
3
Corentin Tolisso
10
0.94
2
Khalis Merah
3
0.92
0
Abner Vinícius
7
0.52
0
Who takes them
Player
Shots
xG
Goals
Loïs Openda
17
2.00
1
Ernest Nuamah
16
1.70
3
Kaïl Boudache
8
1.28
0
Pavel Sulc
6
1.14
1
Zachary Athekame
5
1.04
2
Vision AI Model Insight
The biggest source of Lyon's chances, by xG, is settled attack (6.3 of 11.0 xG, 56 of 96 shots), mostly own creation (carry, dribble, rebound). 29 of the 96 shots (30%) came within 15 seconds of winning the ball. 11 of the 96 shots came from set pieces; 13 goals from 11.0 xG (+2.0).
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
3CB · 4%
3Long Wide · 4%
1Long Central · 1%
22Wide → FB · 30%
45Central · 61%
Sequence success — final-third
122final-third sequences this season
23%succeed — produce a shot
34%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 · 4%
Long Wide3 · 4%
Long Central1 · 1%
Wide → FB22 · 30%
Central45 · 61%
Who creates — volume × threat
13Athekame
9Tolisso
8Sulc
7Vinícius
6Morton
5Nuamah
5Boudache
74key passes #7 of 18
12.1box entries/game #11 of 18
32.8final-3rd entries/game #7 of 18
1.38xG/game #10 of 18
13goals #6 of 18
+2.0finishing vs xG #8 of 18
◆ Vision AI Insight
Lyon lean right — 43% of their key passes come from that flank and its half-space (32 of 74), most often from Athekame (12). They funnel chances into the c of the final third, most often via RW att → C att (13 key passes, most often from Athekame). Athekame is the primary source overall. They generate 1.38 xG a game and finish it clinical — they beat their xG, led by Ernest Nuamah (3G), Zachary Athekame (2G), Malick Fofana (1G).
Crosses & Cutbacks — squad-wide
The question
How does Lyon deliver into the box from wide areas, and what comes of it?
89 crosses: 33 found a team-mate (37%), 15 led to a shot (17%). 28 cut-backs: 10 found a team-mate (36%), 6 led to a shot (21%). 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?
89 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. 25% come from one territory, the byline left wing; 6 come from the half-spaces and 0 from the centre.
Territory
Crosses
Share
Led to a shot
byline · left wing
22
25%
1
byline · right wing
20
22%
5
advanced · right wing
14
16%
3
advanced · left wing
13
15%
3
deep · right wing
7
8%
1
deep · left wing
7
8%
0
advanced · right half-space
2
2%
0
advanced · left half-space
2
2%
0
byline · left half-space
2
2%
2
Finishing3 sections
Shot Map
96 shots for 11.0 xG (1.38/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. 12.0 shots/game at 0.115 xG/shot. Box entries 12/game (#11). Threat created 9.7 xT/game (#15).
Goal Sequences
The move behind each of Lyon’s 13 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 — 13 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
11 · 85%
Set pieces
2 · 15%
Penalties
0 · 0%
By finish
Right foot
8 · 62%
Left foot
3 · 23%
Header
2 · 15%
Vision AI Model Insight
13 goals scored. 85% come in open play; set pieces add 15%. 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
237
Failed forward pass
160
Failed take-on
77
Lost in the defensive third
171
Their weakest zone is the right half-space in the attacking third: 40% of 118 pass attempts there are lost (47 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.
26
Pressing Index /100 · passive
Intensity19
PPDA, high-press share, high-zone actions
Height28
how high up the pitch they defend
Effectiveness19
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
21%
RHS
17%
C
22%
LHS
21%
LW
19%
By third (high / mid / low regain)
Def 49%
Mid 36%
Att 16%
Read
Ranked #16 of 18 for press intensity, this is a high press. 51% of defensive actions happen in the middle & attacking thirds, at an average height of 38. Of recoveries, 51% 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
144
#16/18
High-press share
22%
#14/18
def actions won high up
Defensive-action height (0–100)
37.4
#13/18
avg pitch height of actions
High recoveries / game
19.8
#16/18
ball won in mid+att third
High-recovery share
51%
#13/18
share of recoveries won high
Opponent completion allowed
85%
#14/18
lower = more disruptive
Opponent progressive allowed
8.2%
#6/18
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 Lyon win it back with a defensive action?
Counted over the 238 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 6.2 opponent passes in the first half-hour and after 7.0 after the hour mark (later).
PASSES THEY GET
6.7passes
median 4 · before Lyon win it
TIME THEY KEEP IT
20sec
median 10s · 29.8 wins per game
How many passes the opponent got in before the ball was won
33%
30%
13%
23%
0–2 passes3–5 passes6–9 passes10+ passes
Through the match — every 15 minutes
0–15′
6.2
19s
15–30′
6.1
18s
30–45+′
7.2
22s
45–60′
6.3
19s
60–75′
6.3
18s
75–90+′
7.6
23s
average passesaverage seconds
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) 1,183 passes
nothing unusual in this zone
Width of use+0.1921.40
Wide-channel share+0.130.31
Side bias+0.672.68
Pass length-0.6420.40
Long-ball share-0.640.17
Forward gain per pass-0.668.59
Backward-pass share+0.120.20
Deep-pass share-0.810.21
Completion+0.700.85
Seconds between passes-0.333.12
Side used
left 33% · central 42% · right 25%
Progression (middle third) 1,937 passes
touchline to touchline, played in the channels
Width of use+1.0127.72
Wide-channel share+0.920.47
Side bias+0.632.55
Pass length-0.3016.80
Long-ball share-0.180.09
Forward gain per pass-0.572.75
Backward-pass share+0.310.35
Deep-pass share-0.610.13
Completion+0.600.88
Seconds between passes+0.413.38
Side used
left 42% · central 23% · right 35%
Final third 818 passes
playing short
Width of use+0.2532.23
Wide-channel share+0.110.59
Side bias+0.613.83
Pass length-0.6414.48
Long-ball share-0.830.06
Forward gain per pass-0.730.07
Backward-pass share+0.080.39
Deep-pass share-0.860.06
Completion+0.130.71
Seconds between passes-0.203.25
Side used
left 48% · central 14% · right 38%
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%
#11 of 18 · reaches final third in ≤3 passes
Patient build-up share33%
#4 of 18 · spells of 6+ passes
Tempo (possession length)22.0s
#16 of 18 · shorter = faster tempo
Passes per possession5.2
#5 of 18
Counter-attack shots /game1.00
#10 of 18 · shot within 12s of a regain in own half
Press→shot /game2.81
#11 of 18 · shot within 8s of a high regain
Speed to final third after regain14.8s
#16 of 18 · lower = faster break
Sequence success — attacking transition
15attacking transition sequences this season
0%succeed — produce a shot
60%turned over with nothing to show
Sequence success — defensive transition
26defensive transition sequences this season
69%succeed — reach the next third or a shot
4%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 (#11 of 18), against 33% built patiently over 6+ passes (#4 of 18). Winning the ball back leads to a shot inside 12 seconds 1.00 times a game (#10), and a high regain converts to a shot within 8 seconds 2.81 times a game (#11 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 Lyon? 343 opponent progressive passes and 100 shots faced (8.5 xG against) across the season.
Opponent threat by lane (attacking into Lyon)
Right wing
36%
Right half-space
14%
Central
13%
Left half-space
9%
Left wing
27%
Where the danger came from. Opponents generated most of their threat through the right wing (36% 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 (77 total)
By situation
Open play
7 · 100%
Set pieces
0 · 0%
Penalties
0 · 0%
Vision AI Model Insight
7 goals conceded. 100% come in open play; set pieces account for only 0%, so dead-ball defending is not the main issue. 29% 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
11 g · 10.1 xG
Set pieces
2 g · 1.0 xG
Penalties
0 g
15% of goals come from set pieces (2 of 13), worth 1.0 xG from 11 shots. Set pieces are a secondary threat; the danger is in open play.
Where do Lyon's corners go?
34 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 (22)
Delivered into the box 91%Short 9%
Left side (12)
Delivered into the box 100%Short 0%
Where opponents attack Lyon from set pieces
17 shots from opponent corners against Lyon, 0 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 (7)
Shot 7Goals 0
Left flag (10)
Shot 10Goals 0
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
xG conceded /game — 1.06 (78th pct)
Weaknesses (bottom-third vs league)
progression /game — 36.00 (6th pct)
press intensity (PPDA) — 6.97 (11th pct)
threat created /game — 9.75 (17th pct)
shots /game — 12.00 (22th pct)
box entries /game — 12.12 (33th 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.
Paris FC
81%
Lorient
66%
Strasbourg
54%
Lille
39%
Angers
4%
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 (2m)
0.50
1.50
0.50
vs mid-block opponents (2m)
2.50
1.00
1.50
vs low-block opponents (4m)
1.75
0.50
2.50
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
83%
11%
29
9.1
10.5
vs mid-block opponents
83%
10%
38
9.8
13.0
vs low-block opponents
84%
11%
39
10.0
12.5
Vision AI Model Insight
Facing a high press, retention drops to 83% vs 84% against a low block (1pt 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. Lyon are balanced-territory with a aggressive high-press.
Their attack creates 1.38 xG a game and they concede 1.06 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 8 matches this season
PPDAat PSG · 0-2 · 2026-10-2617.8avg 7.0
Field tiltat PSG · 0-2 · 2026-10-2619%avg 49%
Passesat PSG · 0-2 · 2026-10-26376avg 492
Pass accuracyvs Le Havre · 1-1 · 2026-08-2982%avg 84%
Progressive carriesvs Le Havre · 1-1 · 2026-08-2993avg 58
On-Ball Value — who moved the game
Every pass, carry, take-on, shot and ball win is worth the change it made to the chance of scoring minus the chance of conceding in the next 10 seconds. This is Lyon’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).
+13.6on-ball value, 8 matches
Where the value came from
Passes3938 actions+5.23
Carries1037 actions+0.11
Dribbles121 actions+0.90
Shots96 actions+4.88
Ball wins446 actions+2.50
Most on-ball value (OBV)
Actions
OBV
per 100
Zachary Athekame
567
+2.07
+0.37
Corentin Tolisso
433
+1.63
+0.38
Pavel Sulc
184
+1.36
+0.74
Kaïl Boudache
200
+1.22
+0.61
Mads Bidstrup
191
+0.95
+0.50
Felix Bacher
645
+0.85
+0.13
Dominik Greif
296
+0.74
+0.25
Ernest Nuamah
231
+0.69
+0.30
Biggest single moves
OBV
1 Zachary Athekame · shot
+0.742
2 Pavel Sulc · take-on
+0.570
3 Zachary Athekame · pass
+0.399
4 Kaïl Boudache · shot
+0.397
5 Kaïl Boudache · shot
+0.362
6 Dominik Greif · pass
+0.288
Set Pieces by Player
Who delivers Lyon’s dead balls and who finishes them this season. 34 corners taken, most by Ernest Nuamah (13); 11 shots from corners and free kicks, 2 goals, led by Felix Bacher (1 goals, 0.32 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
Ernest Nuamah
13
12 (92%)
2
—
0.06
1
—
Felix Bacher
—
—
3
1
0.32
—
—
Tyler Morton
8
7 (88%)
—
—
0.00
—
—
Kaïl Boudache
8
7 (88%)
—
—
0.00
—
—
Zachary Athekame
1
1 (100%)
2
—
0.04
—
—
Khalis Merah
1
1 (100%)
1
—
0.03
1
—
Moussa Niakhaté
—
—
1
—
0.18
—
—
Loïs Openda
—
—
1
1
0.28
—
—
Ruben Kluivert
—
—
1
—
0.06
—
—
Abner Vinícius
1
1 (100%)
—
—
0.00
—
—
Julien Duranville
1
1 (100%)
—
—
0.00
—
—
Noah Nartey
1
0 (0%)
—
—
0.00
—
—
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
Zachary Athekame
D
759
1.54
21
12.4
Corentin Tolisso
M
611
1.33
13
6.2
Abner Vinícius
D
570
1.11
8
8.5
Loïs Openda
F
403
1.12
9
1.4
Pavel Sulc
M
431
1.67
4
1.8
Ernest Nuamah
M
468
0.96
7
2.3
Tyler Morton
M
548
0.99
5
6.9
Kaïl Boudache
M
326
1.38
5
2.3
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)
Zachary Athekame
FB
759
15 (47%)
6 (67%)
Ernest Nuamah
W
468
2 (50%)
6 (17%)
Abner Vinícius
FB
570
5 (20%)
2 (100%)
Loïs Openda
W
403
0
3 (67%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Zachary Athekame
D
759
140
22
5
31
Corentin Tolisso
M
611
126
11
7
35
Moussa Niakhaté
D
569
95
3
9
29
Mads Bidstrup
M
533
92
19
9
20
Felix Bacher
D
676
91
8
3
12
Abner Vinícius
D
570
74
2
2
27
Tyler Morton
M
548
59
8
3
21
Pavel Sulc
M
431
51
6
1
12
Full Squad Data
Every player with 100+ minutes (20 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Zachary Athekame
D
8
759
2
1.0
13
66
140
12.4
Felix Bacher
D
8
676
1
0.7
1
17
91
7.1
Corentin Tolisso
M
8
611
1
0.7
9
22
126
6.2
Abner Vinícius
D
7
570
0
0.0
7
34
74
8.5
Moussa Niakhaté
D
6
569
0
0.2
1
21
95
7.9
Dominik Greif
G
6
569
0
0.0
0
15
28
5.0
Tyler Morton
M
7
548
0
0.2
6
22
59
6.9
Mads Bidstrup
M
7
533
0
0.4
1
6
92
1.4
Ernest Nuamah
M
6
468
3
1.7
5
14
45
2.3
Pavel Sulc
M
7
431
1
1.1
8
7
51
1.8
Loïs Openda
F
5
403
1
2.0
5
5
42
1.4
Kaïl Boudache
M
8
326
0
1.3
5
13
46
2.3
Tanner Tessmann
M
7
266
1
0.2
2
8
50
2.6
Noah Nartey
M
7
246
1
0.3
3
4
31
1.6
Julien Duranville
F
3
202
0
0.3
1
6
11
1.0
Rémy Descamps
G
2
190
0
0.0
0
7
5
1.6
Clinton Mata
D
2
190
0
0.0
0
2
29
2.1
Khalis Merah
F
5
167
1
0.4
2
2
29
0.8
Ruben Kluivert
D
4
139
0
0.1
1
5
26
1.4
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.
Zachary Athekame
Ball-playing defender · Defender
minutes759
goals · xG2 · 1.0
prog passes /907.8
key passes /901.54
def actions /9016.6
pass accuracy81%
Felix Bacher
Stopper / marker · Defender
minutes676
goals · xG1 · 0.7
prog passes /902.3
key passes /900.13
def actions /9012.1
pass accuracy89%
Corentin Tolisso
Ball-winner / destroyer · Midfielder
minutes611
goals · xG1 · 0.7
prog passes /903.2
key passes /901.33
def actions /9018.6
pass accuracy84%
Abner Vinícius
Ball-playing defender · Defender
minutes570
goals · xG0 · 0.0
prog passes /905.4
key passes /901.11
def actions /9011.7
pass accuracy84%
Dominik Greif
Goalkeeper · Goalkeeper
minutes569
goals · xG0 · 0.0
prog passes /902.4
key passes /900.00
def actions /904.4
pass accuracy87%
Moussa Niakhaté
Stopper / marker · Defender
minutes569
goals · xG0 · 0.2
prog passes /903.3
key passes /900.16
def actions /9015.0
pass accuracy90%
Tyler Morton
Ball-winner / destroyer · Midfielder
minutes548
goals · xG0 · 0.2
prog passes /903.6
key passes /900.99
def actions /909.7
pass accuracy84%
Mads Bidstrup
Ball-winner / destroyer · Midfielder
minutes533
goals · xG0 · 0.4
prog passes /901.0
key passes /900.17
def actions /9015.5
pass accuracy80%
Ernest Nuamah
Box-to-box midfielder · Midfielder
minutes468
goals · xG3 · 1.7
prog passes /902.7
key passes /900.96
def actions /908.7
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: progression /game (6th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (36.00, 6th percentile vs the league).
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 (6.97, 11th percentile vs the league).
Need — bottom-third: threat created /game (17th pct)
Sign a threat-generating creator between the lines. The data flags this because little threat is manufactured (9.75, 17th percentile vs the league).