العربيةSeason2025/262026 · this seasonAll seasons
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Player reportLigue 1 2026

Hugo Magnetti

Brest
Ball-winning 6 (destroyer) DM
16.6 defensive actions/90
Capability Analysis
Breaking Pressure
only 69 pressured-passing actions across 3 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Progression24%vs 21 defensive mids
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /902.3214%
Line-breaking passes /900.7514%
Threat added by passing /900.73xT14%
Pass accuracy84.34%52%
Ball-Winning55%vs 21 defensive mids
"How actively does he win the ball back?"
Interceptions /901.5271%
Ball recoveries /905.4467%
Tackles /902.4271%
Duels won /900.3710%
defensive midball-winning 6press resistancescreening
559
minutes
7 apps
278
passes
89% completed
89%
pass completion
278 passes
30
progressive passes
4.8/90
103
defensive actions
16.6/90
33
tackles + interceptions
52% tackle win
41
recoveries
6.6/90
24
line-breaking passes
3.9/90
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
drop between the centre-backs — mostly in the middle third (68% of his 278 passes)
89% completion · 278× in 7/7 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
67% won · 6× in 5/7 matches
↓
PROGRESS CENTRAL
break a line through the middle
4.8 prog/90 · 24× in 5/7 matches
↓
SCREEN / WIN BALL
protect the back four
11.9 ball-wins/90 · 74× in 7/7 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
4.7 f3-entries/90 · 29× in 7/7 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
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 →
40
passes / match
16.6
def actions / 90
10–75
pass range (matches)
6
clearances
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.
In possession

In possession

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

10

How dangerous are his carries?

Real ball-carries

56 tracked carries (9.0/90, 8 progressive, 461m 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.

2%7%9%5%2%11%20%11%11%12%9%2%
progressivelateral/short% of his 56 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 19m
By zone — where the carry started → where it ended
4Outside → Inside
37Inside → Inside
12Outside → Outside
3Inside → Outside
First (19)Second (16)Third (11)Fourth (10)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).

21
tackle duels
11
won
10
beaten · 48%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 57%
OUTSIDE 43%
Tackle-duel location — 12 inside · 9 outside
Right Wing
2 · 10%
Right Half-Space
3 · 14%
Central
5 · 24%
Left Half-Space
4 · 19%
Left Wing
7 · 33%
Vision AI beaten in 10 of 21 tackle duels (48% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 6 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?

13%
vertical passes
21×
1%
switches
2×
25%
carries
40×
60%
short circulation
96×
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 →RWRHSCLHSLWRW3656%2036%138%3RHS4257%2426%1114%62%1C676%47%542%2830%2015%10LHS724%310%725%1822%1639%28LW313%142%1355%17FROM
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 final third — 2 progressive passes (10% of his progression) at 0.227 xT each. He moves it inside.

His progression is inward: 52% of progressive passes move the ball toward the middle versus 19% 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: 8 line-breaking passes and 29 final-third entries, 2.2 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%6%10%8%1%1%6%15%9%3%0%10%15%12%3%0%
completedincomplete278 passes · any zone → any zone · own goal left, attacking →
278
passes
89%
completed
30
lost
Vision AIIn line with his 89% season completion rate.
04

How does he progress play?

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

30
progressive · 4.8/90
29
final-third entries · 4.7/90
2
box entries · 0.32/90
15
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.
11

How does he create chances?

8 key passes (1.29/90), 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:
12%38%38%12%
chance creation (8)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

32 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.

5
attacking third (cheap)
15
middle third
12
own third (dangerous)
Vision AI 16% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.27 danger-index/90 · 0.440 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
07

What is his passing profile?

278
passes attempted
41%
mostly forward
50%
mostly short
Direction
Forward
115 · 41%
Sideways
78 · 28%
Backward
85 · 31%
Length (completed)
Short (<15m)
125 · 50%
Medium
110 · 44%
Long (>30m)
13 · 5%
05

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.

0.460.450.350.290.240.22
own goal left, attacking →
Highest-value routes (xT)
0.46
Left Wing Mid third → Left Half-Space Att third
2 passes
0.45
Right Wing Mid third → Right Half-Space Att third
2 passes
0.35
Left Half-Space Mid third → Central Att third
2 passes
0.29
Left Half-Space Att third → Central Att third
1 passes · 1 to a shot
0.24
Left Wing Mid third → Left Half-Space Mid third
2 passes
0.22
Central Mid third → Left Wing Att third
1 passes
08

Where Does He Receive?

The zones where Hugo Magnetti 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
20%
Primary
Left Half-Space, Middle third
17%
Secondary
Central, Middle third
12%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Hugo Magnetti 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:
12842347218412511118302363
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%6%10%8%1%1%6%15%9%3%0%10%15%12%3%0%
own goal left, attacking →
12

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.

8Key pass
2Cross
1Cutback
30Progressive
24Long ball
6Switch
By zone — where the pass started → where it landed
30Outside → Inside
112Inside → Inside
37Outside → Outside
69Inside → Outside
By direction
115Forward
85Backward
78Sideways
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 wing toward the left hs, advancing it forward in the middle third — 2 passes worth 0.46 xT.
Where do his chances come from?
Of 8 key passes, his busiest route is a delivery where he switches it out from the left hs to the left wing, advancing it forward in the middle 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: 46% of his 13 touches there are lost (6 times).
27%3/11 lost—7 touches · too few6%1/17 lost12%2/17 lost46%6/13 lost0%0/25 lost11%4/35 lost2%1/46 lost5%3/57 lost19%5/27 lost—3 touches · too few—4 touches · too few—7 touches · too few—4 touches · too few—5 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

103 defensive actions across the season (16.6/90). 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 →
21
tackles · 52% won
12
interceptions · 1.9/90
41
recoveries · 6.6/90
6
clearances · 1.0/90
3
blocks
37
avg action height
3
won high (att 3rd)
53
middle third
47
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 74 proactive ball-wins (11.9/90), tackle success 52%. 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 Hugo Magnetti 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 ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.4, 2m)
82%
2.1
1.6
0.55
Mid press (PPDA 4.5, 2m)
92%
5.5
3.1
1.01
Low press (PPDA 6.6, 3m)
91%
6.2
5.5
1.33
Team

Team context

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

15

Impact on the Team

Brest's output per match with Hugo Magnetti (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. 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 (7)
WITHOUT (1)
Δ
goals against /match
1.43
2.00
-0.57
points /match
1.14
1.00
+0.14
goals for /match
1.71
2.00
-0.29
xG for /match
1.71
0.00
+1.71
16

His Share of the Team

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

category
share
him / team
interceptions
16%
57 / 366
final-third entries
14%
170 / 1188
tackles
14%
91 / 640
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 258 defensive 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.

Ball-winning 662%Tempo controller58%Deep-lying playmaker53%
Why Ball-winning 6 62%: a weighted blend of ball-winning 75 (weight 40%) + defensive aggression 44 (weight 30%) + retention 63 (weight 15%) + progression 35 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
territory (wide vs central), ball-winning
Average
dribbling, press resistance, retention, transition, passing directness, build-up, crossing, final-third threat, defensive aggression, carrying
Weak
creativity, through-balls, progression, line-breaking, box threat, receiving zones
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
78
Ball-winning
75
Dribbling
69
Press resistance ~proxy
66
Retention
63
Transition ~proxy
55
Passing directness
53
Build-up
52
Crossing
50
Final-third threat
46
Defensive aggression
44
Carrying
43
Creativity
37
Through-balls ~proxy
37
Progression
35
Line-breaking
33
Box threat
30
Receiving zones
17
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: 180 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 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.

João Gomes Aston Villa · Premier League · 176 cm / 73 kg
72%
Driven by: ball-winning (16%), dribbling (15%), press resistance (15%). Different mechanism — Magnetti more via passing directness; Gomes more via carrying, dribbling.
Soungoutou Magassa West Ham · Premier League 25/26 · 188 cm / 80 kg
67%
Driven by: receiving zones (23%), ball-winning (13%), box threat (10%). Different mechanism — Magnetti more via crossing, final-third threat; Magassa more via passing directness.
Rodrigo Bentancur Tottenham · Premier League · 187 cm / 72 kg
66%
Driven by: ball-winning (21%), press resistance (12%), box threat (10%). Different mechanism — Magnetti more via territory (wide vs central), passing directness; Bentancur more via defensive aggression, build-up.
Yves Bissouma Tottenham · Premier League 25/26 · 182 cm / 80 kg
62%
Driven by: receiving zones (16%), press resistance (11%), through-balls (9%). Different mechanism — Magnetti more via passing directness, transition; Bissouma more via retention.
Haris Belkebla Angers · 177 cm / 68 kg
61%
Driven by: receiving zones (19%), box threat (17%), creativity (11%). Different mechanism — Magnetti more via crossing, final-third threat.
André Wolves · Premier League 25/26 · 176 cm / 77 kg
59%
Driven by: box threat (19%), receiving zones (11%), ball-winning (10%). Different mechanism — Magnetti more via territory (wide vs central), passing directness; André more via build-up.
20

Summary

Hugo Magnetti is a ball-winning 6 / tempo controller: 89% completion, 24 line-breaks and 4.8 progressive passes /90, resisting pressure with 67% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 7 matches (559 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 / tempo controller — 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 ball-winning 6 profile.
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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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