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Player reportLigue 1 2026

Florian Sotoca

Lens
Central midfielder AM
balanced central profile
attacking midadvanced playmaker (8)creationbetween the lines
282
minutes
5 apps
3
key passes
0.96/90
10
progressive passes
3.2/90
2
box entries
0.64/90
6
final-3rd entries
1.9/90
1
goals
0.81 xG
2
dribbles
50% won
82%
pass completion
98 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Florian Sotoca has played 5 matches (282 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
01

What Patterns Define Him?

His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.

RECEIVE
Left Wing, Middle third — between the lines — mostly in the middle third (48% of his 98 passes)
82% completion · 98× in 4/4 matches
↓
CREATE
through-ball, cut-back, key pass
0.96/90 · 3× in 3/4 matches
↓
FINISH
arrive and shoot from central zones
1 goals · 0.81 xG · 9× in 3/4 matches
Signature: Receive → Create → Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: turn / beat man — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

05

How dangerous are his carries?

Real ball-carries

13 tracked carries (4.1/90, 1 progressive, 111m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.

8%8%8%8%15%8%8%23%15%
progressivelateral/short% of his 13 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 13m
By zone — where the carry started → where it ended
1Outside → Inside
6Inside → Inside
5Outside → Outside
1Inside → Outside
First (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 2 dribbles attempted this season — too little volume to map a location pattern.

02

How does he create chances?

3 key passes (0.96/90), 0 of them assists — where his chance creation specifically comes from, 18 zones (6×3), showing his share of key passes originating there.

Chance creation — key pass origin zone share
Filter:
67%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (1)from the right (2)of 3 key passes landing in the final thirdattacking ↑ toward goal
07

Where does he become vulnerable?

19 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

6
attacking third (cheap)
8
middle third
5
own third (dangerous)
Vision AI 32% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.08 danger-index/90 · 0.343 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Florian Sotoca actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
21221121471663103237
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

3%2%3%6%1%6%6%3%2%2%12%20%11%14%7%
own goal left, attacking →
03

Tactical patterns — how his football actually looks

Three clustered sequence diagrams from his own event data — his three busiest routes: the way he progresses, the pattern behind his chances, and where a turnover turns dangerous.

own goal left, attacking →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing, advancing it forward in the middle third — 1 passes worth 0.22 xT.
Where do his chances come from?
Of 3 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 2 times. The receiver isn't identifiable in this data, only where the pass started and ended.
Where does he lose the ball most?
This is a RATE, not a raw count — the share of his touches in each zone that end in a turnover, so a zone he simply plays in more often doesn't automatically look riskier. His weakest zone is the left wing in the defensive third: 40% of his 10 touches there are lost (4 times).
—0 touches · too few—0 touches · too few—1 touch · too few—4 touches · too few40%4/10 lost—0 touches · too few—5 touches · too few22%2/9 lost20%2/10 lost13%3/23 lost—5 touches · too few—5 touches · too few—4 touches · too few25%2/8 lost14%2/14 lostRWRHSCLHSLWDEFMIDATT
06

Crosses & Cutbacks

1 crosses (0.32/90, 0 completed) and 6 cutbacks (1.91/90, 4 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

08

How & where does he defend?

33 defensive actions across the season (10.5/90). Where he wins the ball, and how — the core question for a defender. Aerial duels are not recorded for this competition, so aerial dominance is not measured here.

click a card to isolate that action type · own goal left, attacking →
1
tackles · 0% won
2
interceptions · 0.6/90
7
recoveries · 2.2/90
4
clearances · 1.3/90
3
blocks
54
avg action height
12
won high (att 3rd)
13
middle third
8
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 10 proactive ball-wins (3.2/90), tackle success 0%. He defends high, stepping out to intercept — suits a high line.

Defensive work in the attacking half

Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.

21
attacking-half actions · 6.70/90
Team

Team context

How much of the team runs through him, and what changes without him.

09

Impact on the Team

Lens's output per match with Florian Sotoca (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (5)
WITHOUT (3)
Δ
goals for /match
1.60
2.67
-1.07
xG for /match
1.43
2.01
-0.58
goals against /match
1.20
2.00
-0.80
points /match
1.80
1.33
+0.47
10

His Share of the Team

Of everything Lens produced this season, the categories where the biggest share ran through Florian Sotoca specifically — his share of the team total, not a per-90 rate.

category
share
him / team
goals
7%
1 / 15
shots
5%
22 / 462
zone-14 entries
3%
6 / 179
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

11

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 247 attacking mids in the pool (min 450 min). This is what separates players who post similar numbers but play differently. Proxy dimensions are inferred from on-ball data; true off-ball running / under-pressure context is not measured.

Advanced playmaker (8)37%Half-space creator37%
Why Advanced playmaker (8) 37%: a weighted blend of creativity 44 (weight 35%) + final-third threat 47 (weight 25%) + progression 28 (weight 25%) + box threat 45 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
build-up, defensive aggression, passing directness, retention, final-third threat, box threat, creativity
Weak
press resistance, crossing, transition, receiving zones, ball-winning, progression, territory (wide vs central), line-breaking, through-balls, dribbling, carrying
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
67
Defensive aggression
66
Passing directness
65
Retention
56
Final-third threat
47
Box threat
45
Creativity
44
Press resistance ~proxy
37
Crossing
36
Transition ~proxy
30
Receiving zones
30
Ball-winning
30
Progression
28
Territory (wide vs central)
28
Line-breaking
23
Through-balls ~proxy
21
Dribbling
16
Carrying
11
12

Similar Players — in style space

Closest comparables measured on the style scores above, within the same position family — so it separates how players are alike, not just how much they touch the ball. Each line explains the shared strength and the divergent mechanism. A light physical-profile term (height / weight; this player: 187 cm / 77 kg) is included at a quarter of one style axis's weight — enough to break ties between stylistic twins, not to override style. Scope: pooled across the Ligue 1, Bundesliga, La Liga, Premier League and Serie A, percentiled within each player's own league before comparing — a match from another league is marked with its league name.

Style, not quality: a high match here means two players tend to produce the ball in similar ways — it is not a ranking, a scouting recommendation, or a claim that they are equally good.

Grady Diangana Elche · La Liga · 180 cm / 73 kg
83%
Driven by: through-balls (12%), transition (12%), carrying (11%). Different mechanism — Sotoca more via final-third threat.
Habib Diarra Sunderland · Premier League · 178 cm / 74 kg
82%
Driven by: dribbling (19%), ball-winning (12%), carrying (10%). Different mechanism — Sotoca more via creativity, receiving zones; Diarra more via through-balls.
Gabriele Piccinini Pisa · Serie A 25/26 · 184 cm / 76 kg
80%
Driven by: carrying (13%), transition (10%), dribbling (10%). Different mechanism — Sotoca more via passing directness, final-third threat.
Omri Gandelman Lecce · Serie A · 188 cm / 84 kg
76%
Driven by: carrying (13%), dribbling (12%). Different mechanism — Sotoca more via retention, box threat; Gandelman more via passing directness.
Jens Odgaard Bologna · Serie A · 188 cm / 83 kg
73%
Driven by: carrying (14%), progression (11%), dribbling (10%). Different mechanism — Sotoca more via build-up, final-third threat.
Junior Kroupi Bournemouth · Premier League · 179 cm / 70 kg
72%
Driven by: carrying (18%), progression (12%), crossing (10%). Different mechanism — Sotoca more via final-third threat, crossing; Kroupi more via box threat, dribbling.
13

Summary

Florian Sotoca is an advanced playmaker (8): 0.96 key passes /90, 3.2 progressive passes, 1 goals from 0.81 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 5 matches (282 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an advanced playmaker (8) — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall advanced playmaker (8) profile.
✨ This report is interactive

Click any stat card to filter its map, hover a dot for the exact match, and use the dropdowns to slice passes zone-to-zone. Nothing here is static.

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