العربيةSeason2025/262026 · this seasonAll seasons
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Player reportLigue 1 2026

Ludovic Ajorque

Brest
Complete forward ST
2.4 shots/90 with 1.08 key passes/90
Capability Analysis
Finishing33%vs 17 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected0.78goals47%
Placement quality vs xG-2.29index0%
Shots on target39.053%
Box Threat4%vs 17 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.24xG6%
Shots /901.820%
xGOT /900.19xGOT6%
Ball-Carrying37%vs 17 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /900.9312%
Carry distance /9033.17m24%
Successful take-ons /900.4129%
Take-on success58.62%82%
Aerial Threat0%vs 17 strikers
"Is he a genuine aerial outlet -- can he win headers, not just occupy space?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
strikerpressing forwardbox threatfinishing
749
minutes
8 apps
3
goals
1.91 xG
1.9
xG
20 shots
20
shots
0.10 xG/shot
2
box entries
0.24/90
9
key passes
1.08/90
9
dribbles
56% won
74%
pass completion
203 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.

LINK
lay-off and combine
9 key passes · 74% completion · 203× in 8/8 matches
↓
FINISH
shoot from central zones
1.91 xG · 20× in 6/8 matches
↓
CONVERT
goals vs expected
3 goals (+1.1 vs xG) · 3× in 6/8 matches
Signature: Link → Finish → Convert — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
16

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 →
25
passes / match
1.8
dribbles / match
20–35
pass range (matches)
1–3
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (20 at the low end, 35 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.

09

How dangerous are his carries?

Real ball-carries

24 tracked carries (2.9/90, 3 progressive, 192m 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.

17%12%17%4%29%4%8%4%4%
progressivelateral/short% of his 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 34m
By zone — where the carry started → where it ended
18Inside → Inside
4Outside → Outside
2Inside → Outside
First (17)Second (7)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he drop to link or stay central? Touches by channel. Season rate: 1.08 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 67%
OUTSIDE 33%
Dribble location — 6 inside · 3 outside
Right Wing
3 · 33%
Right Half-Space
0 · 0%
Central
4 · 44%
Left Half-Space
2 · 22%
Left Wing
0 · 0%
Vision AI His touches are central and high — a penalty-box striker.
11

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 →RWRHSCLHSLWRW3250%1638%123%16%23%1RHS4922%1131%1531%1512%64%2C422%114%648%2019%817%7LHS166%119%344%731%5LW128%133%458%7FROM
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 final third → central areas in the final third — 2 progressive passes (22% of his progression) at 0.004 xT each. He moves it inside.

His progression is inward: 89% of progressive passes move the ball toward the middle versus 11% going wider — he cuts in rather than holding width.

11% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 4 line-breaking passes and 7 final-third entries, -3.1 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%15%15%9%4%1%8%13%13%3%1%4%2%5%2%
completedincomplete203 passes · any zone → any zone · own goal left, attacking →
203
passes
74%
completed
52
lost
Vision AIIn line with his 74% season completion rate.
04

How does he create chances?

9 key passes (1.08/90), 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:
11%11%22%44%11%
chance creation (9)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 (3)from the right (6)of 9 key passes landing in the final thirdattacking ↑ toward goal
03

Can he finish?

20 shots · 1.91 xG · 3 goals (+1.09 vs xG). Mostly head-footed. Circle size = xG.

shots  20
on target  10
goals  3
xG  1.91
xG on target  1.50
xG / shot  0.095
Where he shoots from — click an area of the box
05

Where does he become vulnerable?

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

24
attacking third (cheap)
28
middle third
4
own third (dangerous)
Vision AI 43% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.66 danger-index/90 · 0.247 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

What is his passing profile?

203
passes attempted
40%
mostly sideways
60%
mostly short
Direction
Forward
39 · 19%
Sideways
82 · 40%
Backward
82 · 40%
Length (completed)
Short (<15m)
90 · 60%
Medium
46 · 30%
Long (>30m)
15 · 10%
07

Where Does He Receive?

The zones where Ludovic Ajorque 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
19%
Primary
Right Half-Space, Middle third
17%
Secondary
Central, Middle third
13%
Third
Central, Attacking third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Ludovic Ajorque 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:
38412721726322273232199
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%15%15%9%4%1%8%13%13%3%1%4%2%5%2%
own goal left, attacking →
10

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.

9Key pass
1Cross
2Cutback
5Progressive
13Long ball
13Switch
By zone — where the pass started → where it landed
20Outside → Inside
81Inside → Inside
24Outside → Outside
26Inside → Outside
By direction
39Forward
82Backward
82Sideways
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 →
Where do his chances come from?
Of 9 key passes, his busiest route is a delivery where he plays straight through 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 left half-space in the middle third: 42% of his 12 touches there are lost (5 times).
—4 touches · too few—3 touches · too few—2 touches · too few—1 touch · too few—1 touch · too few17%4/24 lost28%11/40 lost23%8/35 lost42%5/12 lost—5 touches · too few33%4/12 lost19%4/21 lost38%9/24 lost18%2/11 lost12%1/8 lostRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

149 defensive actions across the season (17.9/90). 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 →
7
tackles · 57% won
1
interceptions · 0.1/90
13
recoveries · 1.6/90
9
clearances · 1.1/90
0
blocks
59
avg action height
58
won high (att 3rd)
70
middle third
21
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 21 proactive ball-wins (2.5/90), tackle success 57%. He defends high, stepping out to intercept — suits a high line.

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.

98
attacking-half actions · 11.78/90
12

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Ludovic Ajorque keep producing when the game is tight and the press is high? Tiers of ~2-4 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.4, 2m)
0.17
0.9
0.93
25%
Mid press (PPDA 4.2, 2m)
0.29
0.5
1.88
100%
Low press (PPDA 6.2, 4m)
0.24
0.5
0.74
50%
Team

Team context

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

14

Impact on the Team

Insufficient sample: Ludovic Ajorque played nearly every Brest match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

15

His Share of the Team

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

category
share
him / team
expected goals (xG)
22%
10.2 / 47.2
goals
21%
3 / 14
zone-14 entries
19%
40 / 208
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 299 strikers 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.

Pressing forward66%False 954%Transition runner38%Poacher31%
Why Pressing forward 66%: a weighted blend of defensive aggression 83 (weight 45%) + ball-winning 58 (weight 30%) + transition 19 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
defensive aggression, creativity
Average
receiving zones, build-up, press resistance, ball-winning, line-breaking, dribbling, retention
Weak
progression, final-third threat, through-balls, territory (wide vs central), box threat, crossing, transition, carrying, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
83
Creativity
72
Receiving zones
66
Build-up
63
Press resistance ~proxy
61
Ball-winning
58
Line-breaking
57
Dribbling
54
Retention
53
Progression
39
Final-third threat
32
Through-balls ~proxy
31
Territory (wide vs central)
31
Box threat
30
Crossing
29
Transition ~proxy
19
Carrying
15
Passing directness
9
18

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: 197 cm / 92 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.

Artem Dovbyk Bologna · Serie A · 189 cm / 92 kg
62%
Driven by: transition (21%), passing directness (14%), crossing (13%). Different mechanism — Ajorque more via defensive aggression, crossing; Dovbyk more via box threat, receiving zones.
Tolu Arokodare Wolves · Premier League 25/26 · 197 cm / 97 kg
60%
Driven by: defensive aggression (18%), passing directness (17%), transition (13%). Different mechanism — Ajorque more via receiving zones, build-up; Arokodare more via carrying, dribbling.
Olivier Giroud Lille · 193 cm / 91 kg
57%
Driven by: transition (22%), carrying (21%), defensive aggression (13%). Different mechanism — Ajorque more via line-breaking, progression; Giroud more via passing directness, box threat.
Yassir Zabiri Racing Santander · La Liga · 182 cm / 73 kg
57%
Driven by: transition (18%), passing directness (17%), defensive aggression (15%). Different mechanism — Ajorque more via line-breaking, territory (wide vs central); Zabiri more via box threat, retention.
Christian Kofane Leverkusen · Bundesliga · 189 cm / 80 kg
56%
Driven by: transition (20%), passing directness (18%). Different mechanism — Ajorque more via line-breaking, progression; Kofane more via box threat, retention.
Sékou Mara Strasbourg · 184 cm / 73 kg
54%
Driven by: defensive aggression (29%), transition (13%), box threat (13%). Different mechanism — Ajorque more via creativity; Mara more via passing directness, carrying.
19

Summary

Ludovic Ajorque is a pressing forward: 3 goals from 1.91 xG (+1.09 vs expected), 20 shots, 2 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 8 matches (749 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a pressing forward — 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 pressing forward 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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