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Player reportSerie A 2026

Mario Hermoso

Roma
Ball-playing centre-back CB
6.4 progressive passes/90 · 0.5 line-breaking/90
Capability Analysis
Aerial & Box Defending4%vs 45 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /903.219%
Ball-Winning70%vs 45 centre-backs
"How actively does he win the ball back?"
Interceptions /901.5780%
Ball recoveries /904.5991%
Tackles /901.6458%
Duels won /901.8449%
Breaking Pressure
only 45 pressured-passing actions across 1 high-press match -- not enough sample (needs 5+ matches and 12+ actions)
Progression66%vs 45 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.378%
Line-breaking passes /900.9571%
Threat added by passing /901.17xT78%
Pass accuracy86.56%38%
Ball-Carrying33%vs 45 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.1533%
Carry distance /9083.35m33%
centre-backstopper centre-backbuild-upline-breaking
581
minutes
8 apps
414
passes
88% completed
88%
pass completion
414 passes
41
progressive passes
6.4/90
41
line-breaking passes
6.4/90
124
defensive actions
19.2/90
33
tackles + interceptions
64% tackle win
18
clearances
2.8/90
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
in the first line of build-up — mostly in the middle third (54% of his 414 passes)
88% completion · 414× in 8/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.4 prog/90 · 41× in 8/8 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 19× in 6/8 matches
↓
PROGRESS
entries into the final third
6.0/90 · 39× in 8/8 matches
Signature: Receive → Break A Line → Switch Play → Progress — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: carry out — 4× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
17

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 →
52
passes / match
19.2
def actions / 90
25–93
pass range (matches)
18
clearances
Pass range = his fewest and most passes in any single match this season (25 at the low end, 93 at the high) — a measure of match-to-match involvement, not pass distance.
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

76 tracked carries (11.8/90, 15 progressive, 659m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

1%5%7%7%3%4%25%21%20%8%
progressivelateral/short% of his 76 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 26m
By zone — where the carry started → where it ended
10Outside → Inside
32Inside → Inside
28Outside → Outside
6Inside → Outside
First (25)Second (22)Third (16)Fourth (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

14
tackle duels
9
won
5
beaten · 36%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 36%
OUTSIDE 64%
Tackle-duel location — 5 inside · 9 outside
Right Wing
1 · 7%
Right Half-Space
0 · 0%
Central
1 · 7%
Left Half-Space
4 · 29%
Left Wing
8 · 57%
Vision AI beaten in 5 of 14 tackle duels (36% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

03

How does he build & move the ball?

How does he escape the first line?

10%
vertical passes
22×
5%
switches
11×
21%
carries
48×
64%
short circulation
147×
Answer: he escapes the press primarily through carrying — stepping out with 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 →RWRHSCLHSLWRW3100%3RHS540%240%220%1C4312%523%1042%1812%512%5LHS1456%86%832%4615%2242%61LW1691%211%1841%6947%80FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the middle third → the left half-space in the middle third — 7 progressive passes (21% of his progression) at 0.013 xT each. He moves it inside.

His progression is inward: 50% of progressive passes move the ball toward the middle versus 9% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 3 line-breaking passes and 39 final-third entries, 6.8 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
0%1%0%1%6%5%4%2%6%20%24%20%10%1%
completedincomplete414 passes · any zone → any zone · own goal left, attacking →
414
passes
88%
completed
49
lost
Vision AIIn line with his 88% season completion rate.
04

How does he progress play?

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

41
progressive · 6.4/90
39
final-third entries · 6.0/90
7
box entries · 1.08/90
23
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.
12

How does he create chances?

5 key passes (0.77/90), 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:
20%60%20%
chance creation (5)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

50 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

7
attacking third (cheap)
26
middle third
17
own third (dangerous)
Vision AI 14% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.55 danger-index/90 · 0.459 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

414
passes attempted
52%
mostly forward
47%
mostly medium
Direction
Forward
215 · 52%
Sideways
112 · 27%
Backward
87 · 21%
Length (completed)
Short (<15m)
169 · 46%
Medium
173 · 47%
Long (>30m)
23 · 6%
10

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.

0.510.380.370.350.330.27
own goal left, attacking →
Highest-value routes (xT)
0.51
Left Half-Space Att third → Central Att third
2 passes · 2 to a shot
0.38
Left Wing Mid third → Left Wing Mid third
4 passes
0.37
Left Half-Space Mid third → Left Wing Att third
4 passes
0.35
Left Wing Att third → Left Wing Att third
2 passes
0.33
Left Wing Mid third → Left Wing Att third
3 passes
0.27
Central Att third → Right Half-Space Att third
1 passes
06

Where Does He Receive?

The zones where Mario Hermoso 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
26%
Primary
Left Wing, Middle third
21%
Secondary
Left Half-Space, Middle third
14%
Third
Left Wing, Defensive 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 Mario Hermoso 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:
258110081435426211586242
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.

0%1%0%1%6%5%4%2%6%20%24%20%10%1%
own goal left, attacking →
11

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
1Cutback
41Progressive
41Long ball
19Switch
By zone — where the pass started → where it landed
89Outside → Inside
112Inside → Inside
83Outside → Outside
81Inside → Outside
By direction
215Forward
87Backward
112Sideways
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 inside from the left hs toward the central in the final third — 2 passes worth 0.51 xT.
Where do his chances come from?
Of 5 key passes, his busiest route is a delivery where he plays inside from the left hs toward the central in the final third — 3 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 middle third: 16% of his 19 touches there are lost (3 times).
—1 touch · too few—1 touch · too few8%2/26 lost16%8/51 lost12%7/59 lost—3 touches · too few—4 touches · too few16%3/19 lost11%10/88 lost11%12/109 lost—0 touches · too few—0 touches · too few—4 touches · too few11%3/27 lost9%2/22 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

124 defensive actions across the season (19.2/90). 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 →
14
tackles · 64% won
19
interceptions · 2.9/90
43
recoveries · 6.7/90
18
clearances · 2.8/90
4
blocks
38
avg action height
13
won high (att 3rd)
53
middle third
58
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 76 proactive ball-wins (11.8/90), tackle success 64%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Mario Hermoso still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.6, 2m)
86%
4.1
8.2
1.18
Mid press (PPDA 5.9, 2m)
87%
7.3
8.2
1.08
Low press (PPDA 7.7, 4m)
89%
7.1
4.9
1.72
Team

Team context

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

15

Impact on the Team

Roma's output per match with Mario Hermoso (8 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. What his own defending should move — goals conceded and results — leads; attacking output (largely out of a defender's hands) is shown after, for context. A proper on-off model needs many more minutes.

WITH (8)
WITHOUT (1)
Δ
goals against /match
0.75
2.00
-1.25
points /match
2.25
3.00
-0.75
goals for /match
2.38
4.00
-1.62
xG for /match
1.92
2.55
-0.64
16

His Share of the Team

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

category
share
him / team
interceptions
9%
48 / 525
clearances
7%
98 / 1322
final-third entries
6%
160 / 2623
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs 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.

Stopper centre-back78%Ball-playing centre-back48%
Why Stopper centre-back 78%: a weighted blend of ball-winning 79 (weight 40%) + defensive aggression 80 (weight 35%) + retention 40 (weight 15%) + transition 45 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
box threat, territory (wide vs central)
Strong
final-third threat, defensive aggression, ball-winning, receiving zones, creativity, line-breaking
Average
progression, through-balls, crossing, build-up, dribbling, transition, press resistance, retention
Weak
carrying, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
89
Territory (wide vs central)
87
Final-third threat
84
Defensive aggression
80
Ball-winning
79
Receiving zones
77
Creativity
76
Line-breaking
75
Progression
67
Through-balls ~proxy
58
Crossing
55
Build-up
49
Dribbling
46
Transition ~proxy
45
Press resistance ~proxy
41
Retention
40
Carrying
37
Passing directness
16
19

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 / 75 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.

Philipp Sander Borussia Monchengladbach · Bundesliga · 186 cm / 77 kg
87%
Driven by: ball-winning (17%), defensive aggression (15%), creativity (13%). Different mechanism — Hermoso more via final-third threat; Sander more via crossing, through-balls.
Aboubakar Nagida Rennes · Ligue 1 · 176 cm / 74 kg
86%
Driven by: ball-winning (14%), defensive aggression (14%), creativity (11%). Different mechanism — Hermoso more via retention, build-up; Nagida more via crossing, carrying.
Arnau Martínez Valencia · La Liga · 182 cm / 72 kg
85%
Driven by: creativity (14%), ball-winning (12%), passing directness (11%). Different mechanism — Hermoso more via build-up; Martínez more via through-balls, crossing.
Reece James Chelsea · Premier League · 180 cm / 92 kg
84%
Driven by: creativity (14%), ball-winning (13%), final-third threat (12%). Different mechanism — James more via through-balls, crossing.
Xavi Espart Barcelona · La Liga · 175 cm
79%
Driven by: defensive aggression (20%), ball-winning (17%), passing directness (10%). Different mechanism — Espart more via dribbling, press resistance.
Malo Gusto Chelsea · Premier League · 178 cm / 67 kg
79%
Driven by: creativity (17%), ball-winning (13%), passing directness (11%). Different mechanism — Hermoso more via box threat; Gusto more via through-balls, crossing.
20

Summary

Mario Hermoso is a stopper centre-back: 88% pass completion, 41 line-breaking passes and 6.4 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 8 matches (581 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper centre-back 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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