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Player reportLigue 1 2026

Timothée Pembélé

Le Havre
Stopper centre-back CB
14.9 defensive actions/90 · 3.1 progressive/90 — defends first
centre-backstopper centre-backbuild-upline-breaking
205
minutes
3 apps
74
passes
74% completed
74%
pass completion
74 passes
7
progressive passes
3.1/90
7
line-breaking passes
3.1/90
34
defensive actions
14.9/90
11
tackles + interceptions
38% tackle win
6
clearances
2.6/90
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Timothée Pembélé has played 3 matches (205 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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 defensive third (39% of his 74 passes)
74% completion · 74× in 3/3 matches
↓
CARRY OUT
step into midfield to commit a presser
5 carries · 10× in 2/3 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
3.1 prog/90 · 7× in 3/3 matches
↓
PROGRESS
entries into the final third
0.9/90 · 2× in 2/3 matches
Signature: Receive → Carry Out → Break A Line → 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: switch play — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
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

13 tracked carries (5.7/90, 3 progressive, 130m 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.

15%8%15%15%31%15%
progressivelateral/short% of his 13 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 27m
By zone — where the carry started → where it ended
1Outside → Inside
2Inside → Inside
10Outside → Outside
First (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).

8
tackle duels
3
won
5
beaten · 62%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 12%
OUTSIDE 88%
Tackle-duel location — 1 inside · 7 outside
Right Wing
2 · 25%
Right Half-Space
1 · 12%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
5 · 62%
Vision AI beaten in 5 of 8 tackle duels (62% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 5 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.

06

How does he create chances?

1 key passes (0.44/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
03

Where does he become vulnerable?

22 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.

10
attacking third (cheap)
3
middle third
9
own third (dangerous)
Vision AI 45% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 3.73 danger-index/90 · 0.386 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 →
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final 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 right wing in the defensive third: 50% of his 14 touches there are lost (7 times).
50%7/14 lost—4 touches · too few—2 touches · too few—1 touch · too few12%1/8 lost—1 touch · too few—5 touches · too few—0 touches · too few—3 touches · too few10%2/20 lost—2 touches · too few—1 touch · too few—0 touches · too few—5 touches · too few50%4/8 lostRWRHSCLHSLWDEFMIDATT
05

Crosses & Cutbacks

6 crosses (2.63/90, 2 completed) and 1 cutbacks (0.44/90, 0 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.

07

How & where does he defend?

34 defensive actions across the season (14.9/90). 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 →
8
tackles · 38% won
3
interceptions · 1.3/90
5
recoveries · 2.2/90
6
clearances · 2.6/90
3
blocks
36
avg action height
3
won high (att 3rd)
17
middle third
14
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 16 proactive ball-wins (7.0/90), tackle success 38%. He defends mostly around the middle third.
Team

Team context

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

08

Impact on the Team

Le Havre's output per match with Timothée Pembélé (3 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 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 (3)
WITHOUT (5)
Δ
goals against /match
1.33
2.20
-0.87
points /match
0.33
0.20
+0.13
goals for /match
0.67
1.20
-0.53
xG for /match
1.28
0.00
+1.28
09

His Share of the Team

Of everything Le Havre produced this season, the categories where the biggest share ran through Timothée Pembélé specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
5%
27 / 551
tackles
4%
19 / 470
successful take-ons
4%
7 / 177
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

10

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-back32%Ball-playing centre-back18%
Why Stopper centre-back 32%: a weighted blend of ball-winning 49 (weight 40%) + defensive aggression 42 (weight 35%) + retention 15 (weight 15%) + transition 14 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
through-balls, territory (wide vs central), box threat
Strong
creativity, line-breaking, crossing, dribbling
Average
receiving zones, ball-winning, progression, press resistance, defensive aggression
Weak
final-third threat, carrying, retention, transition, passing directness, build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Through-balls ~proxy
93
Territory (wide vs central)
89
Box threat
89
Creativity
81
Line-breaking
80
Crossing
79
Dribbling
75
Receiving zones
68
Ball-winning
49
Progression
47
Press resistance ~proxy
42
Defensive aggression
42
Final-third threat
33
Carrying
31
Retention
15
Transition ~proxy
14
Passing directness
12
Build-up
7
11

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: 183 cm / 80 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.

Adrià Pedrosa Rayo Vallecano · La Liga · 172 cm / 69 kg
90%
Driven by: build-up (17%), transition (14%), creativity (10%). Different mechanism — Pedrosa more via defensive aggression, final-third threat.
Héctor Fort Real Sociedad · La Liga · 185 cm / 78 kg
89%
Driven by: build-up (22%), box threat (14%), passing directness (10%). Different mechanism — Fort more via transition, carrying.
Aitor Ruibal Real Betis · La Liga · 176 cm / 74 kg
88%
Driven by: build-up (16%), creativity (12%), box threat (12%). Different mechanism — Ruibal more via ball-winning, final-third threat.
Amir Murillo Marseille 25/26 · 184 cm / 75 kg
87%
Driven by: build-up (16%), box threat (11%), transition (10%). Different mechanism — Murillo more via final-third threat, defensive aggression.
Philipp Treu Freiburg · Bundesliga · 173 cm / 72 kg
86%
Driven by: build-up (20%), transition (16%), passing directness (11%). Different mechanism — Pembélé more via line-breaking, creativity.
Keane Lewis-Potter Brentford · Premier League · 170 cm / 67 kg
84%
Driven by: build-up (20%), box threat (12%), retention (10%). Different mechanism — Lewis-Potter more via transition, final-third threat.
12

Summary

Timothée Pembélé is a stopper centre-back: 74% pass completion, 7 line-breaking passes and 3.1 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 3 matches (205 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 transition — even a modest improvement there would meaningfully lift his overall stopper centre-back profile.
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