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Player reportSerie A 2026
VEN

Simon Sohm

Venezia
Half-space creator CM
50% of actions in the half-spaces
Capability Analysis
Successful Dribble69%vs 34 central mids
"Can he beat a man in a straight 1v1?"
Successful take-ons /900.5953%
Take-on success54.17%85%
Progression30%vs 34 central mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.1212%
Line-breaking passes /900.8612%
Threat added by passing /900.64xT24%
Pass accuracy86.2%74%
Ball-Carrying52%vs 34 central mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.2435%
Carry distance /9083.6m35%
Successful take-ons /900.5953%
Take-on success54.17%85%
Chance Creation18%vs 34 central mids
"Does he create real chances for others?"
Expected assists /900.06xA35%
Through balls /900.00%
Threat added by passing /900.64xT24%
Box entries (pass) /900.5915%
central midtempo controllerprogressionbox-to-box
498
minutes
7 apps
19
progressive passes
3.4/90
89%
pass completion
296 passes
5
key passes
0.90/90
4
box entries
0.72/90
27
final-3rd entries
4.9/90
5
dribbles
40% won
35
possessions lost
2.17 danger/90
Overview

The player

Who he is and how he compares with his peers.

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
Central, Middle third — mostly in the middle third (61% of his 296 passes)
89% completion · 296× in 7/7 matches
↓
PROGRESS
drive or pass into the final third
3.4 prog/90 · 19× in 6/7 matches
↓
ARRIVE
get into the box late
5 key passes · 4× in 4/7 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.90 key passes /90 · 0 goals · 8× in 4/7 matches
Signature: receive → progress → arrive in the box → create or finish. A box-to-box midfielder judged across every phase.
19

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
42
passes / match
1.0
dribbles / match
10–75
pass range (matches)
1–1
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (10 at the low end, 75 at the high) — a measure of match-to-match involvement, not pass distance. Dribble range works the same way, for dribbles/carries per match.
In possession

In possession

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

08

How dangerous are his carries?

Real ball-carries

56 tracked carries (10.1/90, 10 progressive, 481m 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.

4%4%7%5%18%12%14%5%2%5%9%9%4%2%
progressivelateral/short% of his 56 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 37m
By zone — where the carry started → where it ended
1Outside → Inside
48Inside → Inside
4Outside → Outside
3Inside → Outside
First (20)Second (16)Third (11)Fourth (9)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 5 dribbles attempted this season — too little volume to map a location pattern.

09

How does he build & move the ball?

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW3171%2219%610%3RHS6636%2423%1532%218%52%1C7412%924%1834%2526%194%3LHS701%14%330%2129%2036%25LW234%14%139%952%12FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right half-space in the middle third — 2 progressive passes (12% of his progression) at 0.022 xT each. He moves it inside.

His progression is inward: 62% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 6% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 4 line-breaking passes and 27 final-third entries, 0.6 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
2%5%10%9%1%9%18%12%5%0%1%6%7%9%5%1%
completedincomplete296 passes · any zone → any zone · own goal left, attacking →
296
passes
89%
completed
32
lost
Vision AIIn line with his 89% season completion rate.
05

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

19
progressive · 3.4/90
27
final-third entries · 4.9/90
4
box entries · 0.72/90
14
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
03

How does he create chances?

5 key passes (0.90/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
12

Where does he become vulnerable?

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

8
attacking third (cheap)
21
middle third
6
own third (dangerous)
Vision AI 23% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.17 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.
13

What is his passing profile?

296
passes attempted
38%
mostly forward
56%
mostly short
Direction
Forward
111 · 38%
Sideways
107 · 36%
Backward
78 · 26%
Length (completed)
Short (<15m)
148 · 56%
Medium
102 · 39%
Long (>30m)
14 · 5%
11

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.380.220.150.120.110.10
own goal left, attacking →
Highest-value routes (xT)
0.38
Left Half-Space Mid third → Left Half-Space Att third
1 passes · 1 to a shot
0.22
Central Att third → Left Half-Space Att third
1 passes
0.15
Right Wing Att third → Right Wing Att third
1 passes
0.12
Left Wing Mid third → Right Wing Att third
1 passes
0.11
Right Half-Space Def third → Left Wing Mid third
1 passes
0.10
Right Half-Space Mid third → Right Wing Att third
2 passes
06

Where Does He Receive?

The zones where Simon Sohm gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
18%
Primary
Central, Middle third
17%
Secondary
Left Half-Space, Middle third
17%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Simon Sohm 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:
219232614526523816351630263
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.

2%5%10%9%1%9%18%12%5%0%1%6%7%9%5%1%
own goal left, attacking →
14

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

5Key pass
1Cross
1Cutback
19Progressive
19Long ball
11Switch
By zone — where the pass started → where it landed
19Outside → Inside
147Inside → Inside
35Outside → Outside
63Inside → Outside
By direction
111Forward
78Backward
107Sideways
own goal left, attacking →
02

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 hs, advancing it forward in the middle third — 1 passes worth 0.38 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays straight through the left hs, advancing it forward in the middle third — 1 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 central in the final third: 42% of his 12 touches there are lost (5 times).
—1 touch · too few12%1/8 lost11%2/18 lost5%1/20 lost—5 touches · too few19%3/16 lost10%5/50 lost4%2/53 lost12%6/48 lost23%3/13 lost0%0/17 lost7%1/15 lost42%5/12 lost0%0/9 lost9%1/11 lostRWRHSCLHSLWDEFMIDATT
04

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 56 ball-carries, his dominant tendency is that he carries through central areas (86%). He carries from outside into the middle 1 times and out toward the touchline 3 — a width-holder who drives down the line.
10

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
0 · 0%
Progressive / key pass
2 · 4%
Simple pass
51 · 91%
No clean link
3 · 5%
Of 56 carries, 0% flow straight into a shot of his own, 4% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 5% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

16

How & where does he defend?

64 defensive actions across the season (11.6/90). 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 →
8
tackles · 88% won
3
interceptions · 0.5/90
28
recoveries · 5.1/90
9
clearances · 1.6/90
0
blocks
38
avg action height
7
won high (att 3rd)
25
middle third
32
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 39 proactive ball-wins (7.0/90), tackle success 88%. He defends mostly around the middle third.
15

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Simon Sohm keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.2, 2m)
0.45
1.2
2.43
0%
Mid press (PPDA 4.9, 2m)
1.02
3.6
1.56
100%
Low press (PPDA 6.5, 3m)
1.01
3.9
0.00
50%
Team

Team context

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

17

Impact on the Team

Venezia's output per match with Simon Sohm (7 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (7)
WITHOUT (1)
Δ
goals for /match
0.86
0.00
+0.86
xG for /match
1.43
1.85
-0.41
goals against /match
2.14
2.00
+0.14
points /match
0.43
0.00
+0.43
18

His Share of the Team

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

category
share
him / team
successful take-ons
12%
13 / 107
half-space entries
11%
48 / 455
final-third entries
10%
82 / 812
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 383 central 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.

Tempo controller71%Deep-lying playmaker61%Transition runner25%Advanced playmaker (8)24%
Why Tempo controller 71%: a weighted blend of retention 80 (weight 35%) + build-up 66 (weight 30%) + press resistance 74 (weight 20%) + progression 22 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
retention, press resistance
Average
dribbling, build-up, defensive aggression, carrying, receiving zones
Weak
crossing, creativity, final-third threat, ball-winning, territory (wide vs central), transition, progression, box threat, line-breaking, passing directness, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
80
Press resistance ~proxy
74
Dribbling
68
Build-up
66
Defensive aggression
48
Carrying
40
Receiving zones
40
Crossing
39
Creativity
38
Final-third threat
29
Ball-winning
28
Territory (wide vs central)
28
Transition ~proxy
28
Progression
22
Box threat
21
Line-breaking
16
Passing directness
16
Through-balls ~proxy
8
21

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: 188 cm / 85 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Alpha Touré Metz · Ligue 1 25/26 · 180 cm
88%
Driven by: through-balls (10%), line-breaking (10%), passing directness (9%). Different mechanism — Sohm more via final-third threat, crossing.
Orel Mangala Getafe · La Liga · 178 cm / 80 kg
87%
Driven by: through-balls (12%), line-breaking (10%), box threat (10%). Different mechanism — Sohm more via defensive aggression; Mangala more via passing directness.
Francis Coquelin Nantes · Ligue 1 25/26 · 176 cm / 74 kg
84%
Driven by: transition (10%), box threat (10%), progression (9%). Different mechanism — Sohm more via carrying, creativity; Coquelin more via ball-winning.
Fisayo Dele-Bashiru Lazio · 176 cm / 70 kg
82%
Driven by: through-balls (12%), ball-winning (11%), passing directness (10%). Different mechanism — Sohm more via build-up, crossing; Dele-Bashiru more via territory (wide vs central).
Oscar Højlund Eintracht Frankfurt · Bundesliga · 184 cm / 76 kg
81%
Driven by: box threat (15%), line-breaking (11%), retention (11%). Different mechanism — Sohm more via dribbling; Højlund more via carrying.
Rudy Matondo Paris FC · Ligue 1 · 180 cm
81%
Driven by: progression (13%), line-breaking (10%), press resistance (10%). Different mechanism — Sohm more via carrying, receiving zones; Matondo more via passing directness, ball-winning.
22

Summary

Simon Sohm is a tempo controller / deep-lying playmaker: 3.4 progressive passes, 0.90 key passes /90, 4 box entries, 0 goals from 0.18 xG. A box-to-box contributor across every phase.

Based on 7 matches (498 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / deep-lying playmaker — 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 tempo controller 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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