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Player reportLigue 1 2025/26

Jérémy Jacquet

Liverpool
Ball-playing centre-back CB
8.0 progressive passes/90 · 0.7 line-breaking/90
centre-backball-playing centre-backbuild-upline-breaking
1779
minutes
19 apps
1081
passes
90% completed
90%
pass completion
1081 passes
158
progressive passes
8.0/90
105
line-breaking passes
5.3/90
275
defensive actions
13.9/90
46
tackles + interceptions
59% tackle win
95
clearances
4.8/90
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 (55% of his 1081 passes)
90% completion · 1081× in 19/19 matches
↓
CARRY OUT
step into midfield to commit a presser
10 carries · 20× in 6/19 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
8.0 prog/90 · 105× in 19/19 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 59× in 19/19 matches
↓
PROGRESS
entries into the final third
4.2/90 · 84× in 18/19 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
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 →
57
passes / match
13.9
def actions / 90
28–83
pass range (matches)
95
clearances
Pass range = his fewest and most passes in any single match this season (28 at the low end, 83 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

331 tracked carries (16.7/90, 76 progressive, 2836m 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.

5%10%9%3%1%3%18%24%12%1%1%5%5%2%0%
progressivelateral/short% of his 331 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 30m
By zone — where the carry started → where it ended
21Outside → Inside
286Inside → Inside
17Outside → Outside
7Inside → Outside
First (107)Second (98)Third (73)Fourth (53)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).

27
tackle duels
16
won
11
beaten · 41%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 59%
OUTSIDE 41%
Tackle-duel location — 16 inside · 11 outside
Right Wing
6 · 22%
Right Half-Space
7 · 26%
Central
8 · 30%
Left Half-Space
1 · 4%
Left Wing
5 · 19%
Vision AI beaten in 11 of 27 tackle duels (41% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 0.58 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 90%
OUTSIDE 10%
Dribble location — 9 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
4 · 40%
Central
3 · 30%
Left Half-Space
2 · 20%
Left Wing
1 · 10%
Vision AI 90% of his carries are central — he steps out through the middle to draw a presser before releasing.
02

How does he build & move the ball?

How does he escape the first line?

19%
vertical passes
142×
6%
switches
46×
35%
carries
266×
40%
short circulation
300×
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 →RWRHSCLHSLWRW8341%3434%2825%21RHS29343%12714%4034%999%251%2C39417%6816%6525%10023%9218%69LHS1662%313%2120%3422%3643%72LW4214%626%1160%25FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the middle third → central areas in the middle third — 6 progressive passes (10% of his progression) at 0.029 xT each. He moves it inside.

His progression is inward: 42% of progressive passes move the ball toward the middle versus 19% going wider — he cuts in rather than holding width.

13% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 14 line-breaking passes and 84 final-third entries, 16.8 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
5%10%10%6%1%5%14%21%11%1%0%2%6%5%3%1%
completedincomplete1081 passes · any zone → any zone · own goal left, attacking →
1081
passes
90%
completed
103
lost
Vision AIIn line with his 90% season completion rate.
03

How does he progress play?

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

158
progressive · 8.0/90
84
final-third entries · 4.2/90
2
box entries · 0.10/90
21
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?

7 key passes (0.35/90), 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:
14%29%43%14%
chance creation (7)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

109 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.

6
attacking third (cheap)
59
middle third
44
own third (dangerous)
Vision AI 6% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.88 danger-index/90 · 0.522 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?

1081
passes attempted
59%
mostly forward
60%
mostly medium
Direction
Forward
637 · 59%
Sideways
309 · 29%
Backward
135 · 12%
Length (completed)
Short (<15m)
306 · 31%
Medium
587 · 60%
Long (>30m)
85 · 9%
07

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.

0.720.610.600.490.490.47
own goal left, attacking →
Highest-value routes (xT)
0.72
Central Mid third → Left Half-Space Att third
4 passes
0.61
Central Mid third → Right Wing Att third
10 passes
0.60
Central Mid third → Right Wing Mid third
11 passes
0.49
Right Half-Space Def third → Central Mid third
6 passes
0.49
Central Mid third → Central Mid third
5 passes
0.47
Right Half-Space Def third → Right Wing Mid third
10 passes
08

Where Does He Receive?

The zones where Jérémy Jacquet 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
24%
Primary
Central, Middle third
15%
Secondary
Right Half-Space, Middle third
15%
Third
Central, Defensive 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 Jérémy Jacquet 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:
226451318501522261221611561141086110
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.

5%10%10%6%1%5%14%21%11%1%0%2%6%5%3%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.

7Key pass
1Cross
158Progressive
105Long ball
59Switch
By zone — where the pass started → where it landed
66Outside → Inside
512Inside → Inside
59Outside → Outside
341Inside → Outside
By direction
637Forward
135Backward
309Sideways
own goal left, attacking →
04

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 switches it out from the central to the left hs, advancing it forward in the middle third — 4 passes worth 0.72 xT.
Where do his chances come from?
Of 7 key passes, his busiest route is a delivery where he switches it out from the right hs to the right 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 right wing in the defensive third: 22% of his 49 touches there are lost (11 times).
22%11/49 lost7%10/147 lost10%16/160 lost5%4/76 lost8%2/24 lost8%4/48 lost10%16/165 lost9%25/265 lost8%8/97 lost11%2/19 lost—1 touch · too few22%2/9 lost17%2/12 lost—5 touches · too few—4 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

275 defensive actions across the season (13.9/90). 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 →
27
tackles · 59% won
19
interceptions · 1.0/90
77
recoveries · 3.9/90
95
clearances · 4.8/90
10
blocks
27
avg action height
8
won high (att 3rd)
90
middle third
177
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 123 proactive ball-wins (6.2/90), tackle success 59%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Jérémy Jacquet 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 ~6-7 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 5.2, 6m)
84%
5.9
5.8
0.71
Mid press (PPDA 6.4, 6m)
90%
8.1
5.7
1.25
Low press (PPDA 9.4, 7m)
95%
9.6
4.6
1.37
Team

Team context

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

15

Impact on the Team

Liverpool's output per match with Jérémy Jacquet (19 matches) versus without him (15 matches). 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 (19)
WITHOUT (15)
Δ
goals against /match
1.68
1.20
+0.48
points /match
1.42
2.13
-0.71
goals for /match
1.42
2.13
-0.71
xG for /match
1.33
0.00
+1.33
16

His Share of the Team

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

category
share
him / team
clearances
11%
121 / 1056
interceptions
8%
33 / 436
final-third entries
7%
148 / 2068
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.

Ball-playing centre-back75%Stopper centre-back67%
Why Ball-playing centre-back 75%: a weighted blend of retention 79 (weight 30%) + build-up 68 (weight 30%) + progression 62 (weight 25%) + press resistance 69 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
transition, retention, carrying, ball-winning, creativity, dribbling
Average
press resistance, build-up, final-third threat, receiving zones, progression, box threat, crossing
Weak
line-breaking, defensive aggression, through-balls, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
94
Transition ~proxy
82
Retention
79
Carrying
79
Ball-winning
75
Creativity
74
Dribbling
70
Press resistance ~proxy
69
Build-up
68
Final-third threat
63
Receiving zones
63
Progression
62
Box threat
51
Crossing
47
Line-breaking
37
Defensive aggression
35
Through-balls ~proxy
26
Territory (wide vs central)
4
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: 188 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 Premier League, Bundesliga, La Liga, Ligue 1 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.

Juan Foyth Villarreal · La Liga · 187 cm / 83 kg
81%
Driven by: transition (17%), territory (wide vs central) (14%), passing directness (13%). Different mechanism — Foyth more via line-breaking, through-balls.
Mariano Troilo Parma Calcio 1913 · Serie A · 191 cm / 86 kg
81%
Driven by: territory (wide vs central) (17%), transition (14%), press resistance (12%). Different mechanism — Jacquet more via receiving zones, passing directness.
Pablo Ramón Racing Santander · La Liga · 184 cm / 80 kg
80%
Driven by: transition (20%), ball-winning (13%), passing directness (13%). Different mechanism — Jacquet more via crossing; Ramón more via territory (wide vs central), defensive aggression.
Loïc Badé Leverkusen · Bundesliga · 191 cm / 89 kg
79%
Driven by: transition (20%), passing directness (15%), territory (wide vs central) (13%). Different mechanism — Jacquet more via creativity, dribbling.
Castello Lukeba RBL · Bundesliga · 184 cm / 73 kg
79%
Driven by: transition (16%), press resistance (10%), territory (wide vs central) (9%). Different mechanism — Jacquet more via box threat; Lukeba more via line-breaking, through-balls.
Kim Min-Jae Bayern · Bundesliga · 190 cm / 81 kg
77%
Driven by: transition (23%), passing directness (14%), retention (13%). Different mechanism — Jacquet more via dribbling; Min-Jae more via receiving zones, territory (wide vs central).
20

Summary

Jérémy Jacquet is a ball-playing centre-back / stopper centre-back: 90% pass completion, 105 line-breaking passes and 8.0 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 19 matches (1779 minutes) this season — a reliable read. He profiles as a ball-playing centre-back / stopper centre-back — 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-playing 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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