العربيةSeason2025/262026 · this seasonAll seasons
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Player reportBundesliga 2026

Conrad Harder

Strasbourg
False 9 (dropping forward) ST
average position x=61 — drops deep · 6.92 key passes/90
strikerfalse 9box threatfinishing
13
minutes
1 apps
0
goals
0.14 xG
0.1
xG
2 shots
2
shots
0.07 xG/shot
0
box entries
0.00/90
1
key passes
6.92/90
1
dribbles
0% won
100%
pass completion
2 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Conrad Harder has played 1 match (13 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.

LINK
lay-off and combine
1 key passes · 100% completion · 2× in 1/1 matches
↓
FINISH
shoot from central zones
0.14 xG · 2× in 1/1 matches
Signature: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 0× (insufficient confidence, hidden — not enough evidence yet); convert — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
Team

Team context

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

02

Impact on the Team

Strasbourg's output per match with Conrad Harder (1 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.

WITH (1)
WITHOUT (6)
Δ
goals for /match
3.00
2.83
+0.17
xG for /match
3.68
0.00
+3.68
goals against /match
0.00
1.83
-1.83
points /match
3.00
1.50
+1.50
03

His Share of the Team

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

category
share
him / team
shots
11%
53 / 497
expected goals (xG)
10%
5.0 / 50.8
zone-14 entries
5%
15 / 277
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

04

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.

False 956%Pressing forward44%Poacher42%Transition runner42%
Why False 9 56%: a weighted blend of creativity 61 (weight 30%) + box threat 59 (weight 25%) + progression 56 (weight 20%) + build-up 44 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
territory (wide vs central), carrying, line-breaking, creativity, ball-winning, box threat, receiving zones, progression, build-up, defensive aggression, transition
Weak
retention, final-third threat, press resistance, passing directness, dribbling, through-balls, crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Territory (wide vs central)
67
Carrying
66
Line-breaking
64
Creativity
61
Ball-winning
60
Box threat
59
Receiving zones
57
Progression
56
Build-up
44
Defensive aggression
44
Transition ~proxy
40
Retention
28
Final-third threat
27
Press resistance ~proxy
27
Passing directness
24
Dribbling
21
Through-balls ~proxy
21
Crossing
11
05

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: 185 cm / 71 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 Bundesliga, La Liga, Ligue 1, 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.

Robinio Vaz Hull City · Serie A · 185 cm / 75 kg
79%
Driven by: crossing (19%), press resistance (17%), dribbling (17%). Different mechanism — Harder more via carrying, build-up; Vaz more via through-balls.
Kieron Bowie Sassuolo · Serie A · 190 cm / 83 kg
68%
Driven by: press resistance (21%), dribbling (21%), crossing (17%). Different mechanism — Harder more via carrying, receiving zones; Bowie more via crossing, passing directness.
Willem Geubbels Lecce · Serie A · 185 cm / 81 kg
67%
Driven by: press resistance (20%), crossing (20%), dribbling (19%). Different mechanism — Harder more via line-breaking, creativity.
Karl Etta Eyong Levante · La Liga · 181 cm / 75 kg
66%
Driven by: crossing (23%), press resistance (14%), through-balls (13%). Different mechanism — Harder more via territory (wide vs central), line-breaking; Eyong more via dribbling.
Dzenan Pejcinovic Stuttgart · 188 cm / 78 kg
58%
Driven by: crossing (23%), dribbling (18%), press resistance (16%). Different mechanism — Harder more via carrying, ball-winning; Pejcinovic more via build-up, final-third threat.
Andréas Hountondji St. Pauli 25/26 · 190 cm / 64 kg
53%
Driven by: crossing (21%), retention (14%), press resistance (11%). Different mechanism — Harder more via receiving zones, creativity; Hountondji more via dribbling, territory (wide vs central).
06

Summary

Conrad Harder is a false 9: 0 goals from 0.14 xG (-0.14 vs expected), 2 shots, 0 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 1 matches (13 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a false 9 — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall false 9 profile.
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