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Player reportSerie A 2025/26

Marcus Pedersen

Torino
Balanced wide forward W
wing 81% · inside 19% — no dominant lane
right winger1v1 carriercuts insidehalf-space creator
2297
minutes
30 apps
1
goals
1.32 xG
32
dribbles
31% won
19
key passes
0.74/90
13
box entries
0.51/90
44
progressive passes
1.7/90
32
final-3rd entries
1.3/90
71%
pass completion
844 passes
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
Right Wing, Middle third — mostly in the middle third (42% of his 844 passes)
75% of touches wide right · 844× in 30/30 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
31% won · 32× in 20/30 matches
↓
PROGRESS
drive the ball into the final third
1.7 progressive · 1.3 f3/90 · 44× in 20/30 matches
↓
CREATE / FINISH
cut-back or shot from inside
0.74 key passes /90 · 1 goals · 34× in 11/30 matches
Signature: receive wide right → beat the full-back → carry into the left-foot channel → deliver or shoot. Stop the 1v1 on the right and you starve the chain.
21

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 →
28
passes / match
1.6
dribbles / match
3–59
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 at the low end, 59 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.

04

How dangerous are his carries?

Real ball-carries

208 tracked carries (8.1/90, 85 progressive, 2742m 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%13%32%30%12%0%1%1%0%0%
progressivelateral/short% of his 208 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 57m
By zone — where the carry started → where it ended
31Outside → Inside
26Inside → Inside
143Outside → Outside
8Inside → Outside
First (91)Second (57)Third (53)Fourth (7)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Marcus Pedersen's signature is the dribble. Does he carry outside (down the right wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 1.25 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 25%
OUTSIDE 75%
Dribble location — 8 inside · 24 outside
Right Wing
24 · 75%
Right Half-Space
7 · 22%
Central
1 · 3%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI 75% of his dribbles are in the wide right lane — he attacks the full-back on the outside, then threatens to cut inside onto his left foot.
16

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 →RWRHSCLHSLWRW50663%31733%1664%181%30%2RHS749%746%3441%303%21%1C1331%415%28%138%58%1LHS3100%3LW2100%2FROM
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 final third → the right wing in the final third — 25 progressive passes (20% of his progression) at 0.023 xT each. He keeps it in the same lane.

His progression is inward: 56% of progressive passes move the ball toward the middle versus 1% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 23 line-breaking passes and 32 final-third entries, 7.5 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
3%14%17%23%22%17%0%1%2%1%0%0%0%0%
completedincomplete844 passes · any zone → any zone · own goal left, attacking →
844
passes
71%
completed
246
lost
Vision AIIn line with his 71% season completion rate.
12

How does he progress play?

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

44
progressive · 1.7/90
32
final-third entries · 1.3/90
13
box entries · 0.51/90
17
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.
08

How does he create chances?

19 key passes (0.74/90), 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:
32%63%5%
chance creation (19)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 (0)from the right (19)of 19 key passes landing in the final thirdattacking ↑ toward goal
13

Can he finish?

15 shots · 1.32 xG · 1 goals (-0.32 vs xG). Mostly left-footed. Circle size = xG.

shots  15
on target  7
goals  1
xG  1.32
xG on target  0.83
xG / shot  0.088
Where he shoots from — click an area of the box
10

Where does he become vulnerable?

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

143
attacking third (cheap)
77
middle third
48
own third (dangerous)
Vision AI 53% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.77 danger-index/90 · 0.263 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

What is his passing profile?

844
passes attempted
34%
mostly backward
59%
mostly short
Direction
Forward
277 · 33%
Sideways
279 · 33%
Backward
288 · 34%
Length (completed)
Short (<15m)
352 · 59%
Medium
213 · 36%
Long (>30m)
33 · 6%
15

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.

1.010.690.680.670.570.40
own goal left, attacking →
Highest-value routes (xT)
1.01
Right Wing Att third → Right Wing Att third
6 passes
0.69
Right Wing Mid third → Right Wing Att third
3 passes
0.68
Right Wing Def third → Right Wing Mid third
10 passes
0.67
Right Wing Att third → Central Att third
2 passes
0.57
Right Wing Mid third → Right Wing Mid third
7 passes
0.40
Central Def third → Left Half-Space Att third
1 passes
02

Where Does He Receive?

The zones where Marcus Pedersen 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
36%
Primary
Right Wing, Middle third
34%
Secondary
Right Wing, Attacking third
14%
Third
Right Wing, Defensive third
These are the zones where he collected the ball most.
03

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Marcus Pedersen 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:
112135157626121147193203160
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%14%17%23%22%17%0%1%2%1%0%0%0%0%
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.

19Key pass
32Cross
35Cutback
44Progressive
129Long ball
13Switch
By zone — where the pass started → where it landed
187Outside → Inside
77Inside → Inside
321Outside → Outside
13Inside → Outside
By direction
277Forward
288Backward
279Sideways
own goal left, attacking →
09

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 right wing in the final third — 6 passes worth 1.01 xT.
Where do his chances come from?
Of 19 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 13 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 right half-space in the final third: 49% of his 63 touches there are lost (31 times).
33%40/120 lost18%4/22 lost—3 touches · too few—0 touches · too few—1 touch · too few21%64/309 lost20%6/30 lost23%3/13 lost—3 touches · too few—0 touches · too few34%94/275 lost49%31/63 lost—3 touches · too few—0 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
05

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 208 ball-carries, his dominant tendency is that he drives along the touchline (69%). He carries from outside into the middle 31 times and out toward the touchline 8 — a genuine inside forward who cuts in with the ball.
06

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
7 · 3%
Progressive / key pass
29 · 14%
Simple pass
95 · 46%
No clean link
77 · 37%
Of 208 carries, 3% flow straight into a shot of his own, 14% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 37% have no clean link to a next touch of his own close to where the carry ended.
07

Crosses & Cutbacks

32 crosses (1.25/90, 7 completed) and 35 cutbacks (1.37/90, 11 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.

18

How & where does he defend?

178 defensive actions across the season (7.0/90). 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 →
24
tackles · 62% won
10
interceptions · 0.4/90
56
recoveries · 2.2/90
29
clearances · 1.1/90
9
blocks
35
avg action height
27
won high (att 3rd)
50
middle third
101
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 90 proactive ball-wins (3.5/90), tackle success 62%. He defends mostly around the middle third.

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.

52
attacking-half actions · 2.04/90
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Marcus Pedersen keep producing when the game is tight and the press is high? Tiers of ~10-10 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.3, 10m)
0.59
2.1
0.58
33%
Mid press (PPDA 5.6, 10m)
0.77
1.8
0.75
27%
Low press (PPDA 8.0, 10m)
0.82
1.3
0.89
33%
Team

Team context

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

19

Impact on the Team

Torino's output per match with Marcus Pedersen (1 matches) versus without him (8 matches). Insufficient evidence — the without-sample is only 8 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (1)
WITHOUT (8)
Δ
goals for /match
1.00
1.62
-0.62
xG for /match
0.98
1.04
-0.06
goals against /match
2.00
1.50
+0.50
points /match
0.00
1.62
-1.62
20

His Share of the Team

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

category
share
him / team
box entries
5%
34 / 660
progressive passes
5%
124 / 2713
final-third entries
3%
77 / 2253
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

22

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 182 wingers 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.

Wide dribbler / isolator17%Half-space creator15%Inside forward14%Transition runner13%
Why Wide dribbler / isolator 17%: a weighted blend of final-third threat 41 (weight 20%) + crossing 33 (weight 20%) + dribbling 12 (weight 40%) + box threat 9 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
territory (wide vs central)
Strong
—
Average
passing directness, build-up, progression, final-third threat, through-balls
Weak
transition, crossing, carrying, ball-winning, retention, line-breaking, press resistance, defensive aggression, dribbling, creativity, box threat, receiving zones
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
94
Passing directness
66
Build-up
60
Progression
43
Final-third threat
41
Through-balls ~proxy
40
Transition ~proxy
36
Crossing
33
Carrying
30
Ball-winning
29
Retention
18
Line-breaking
18
Press resistance ~proxy
17
Defensive aggression
14
Dribbling
12
Creativity
11
Box threat
9
Receiving zones
6
23

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: 184 cm / 76 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.

Franck Honorat Borussia Monchengladbach · Bundesliga · 180 cm / 70 kg
84%
Driven by: defensive aggression (22%), box threat (15%), press resistance (13%). Different mechanism — Pedersen more via territory (wide vs central); Honorat more via creativity, line-breaking.
Anthony Elanga Newcastle · Premier League · 178 cm / 75 kg
78%
Driven by: press resistance (17%), box threat (17%), dribbling (13%). Different mechanism — Pedersen more via build-up; Elanga more via creativity, receiving zones.
Denzel Dumfries Real Madrid · La Liga · 188 cm / 80 kg
77%
Driven by: dribbling (13%), creativity (13%), press resistance (12%). Different mechanism — Pedersen more via passing directness, carrying; Dumfries more via retention, defensive aggression.
Panos Katseris Lorient · Ligue 1 · 187 cm
71%
Driven by: press resistance (13%), receiving zones (12%), dribbling (12%). Different mechanism — Katseris more via ball-winning, creativity.
Joel Mvuka Lorient · Ligue 1 25/26 · 176 cm / 66 kg
71%
Driven by: creativity (14%), receiving zones (13%), box threat (12%). Different mechanism — Pedersen more via through-balls, progression; Mvuka more via ball-winning, defensive aggression.
Sirlord Conteh Heidenheim · Bundesliga 25/26 · 178 cm / 78 kg
64%
Driven by: press resistance (16%), receiving zones (12%), dribbling (11%). Different mechanism — Pedersen more via territory (wide vs central), progression; Conteh more via box threat, defensive aggression.
24

Summary

Marcus Pedersen is a wide, outside-first right carrier: 75% of dribbles in the wing lane, 84% of passes from wide — but 44% land inside. 1.7 progressive passes and 0.74 key passes /90 plus 1 goals from 1.32 xG. A carry-and-deliver threat.

Based on 30 matches (2297 minutes) this season — a reliable read. He profiles as a wide dribbler / isolator — best used in a system built around that identity. His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall wide dribbler / isolator 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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