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Player reportLigue 1 2026
TRO

Renaud Ripart

Troyes
Penalty-box poacher ST
2.8 shots/90 · 0.15 xG per shot — shoots from high-value spots · 0.42 xG/90
Capability Analysis
Finishing22%vs 17 strikers
"Does he finish better than the quality of chance he gets?"
Goals above expected-1.27goals6%
Placement quality vs xG0.07index47%
Shots on target9.012%
Box Threat55%vs 17 strikers
"Is he a genuine goal threat by shot volume and quality?"
xG /900.42xG59%
Shots /902.7653%
xGOT /900.43xGOT53%
Ball-Carrying12%vs 17 strikers
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /901.135%
Carry distance /9030.54m12%
Successful take-ons /900.00%
Take-on success0.0%0%
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
490
minutes
8 apps
1
goals
2.27 xG
2.3
xG
15 shots
15
shots
0.15 xG/shot
3
box entries
0.55/90
3
key passes
0.55/90
7
dribbles
0% won
64%
pass completion
99 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
3 key passes · 64% completion · 99× in 8/8 matches
↓
FINISH
shoot from central zones
2.27 xG · 15× in 5/8 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 — 3× (low confidence, shown as a number only, no tactical conclusion drawn); convert — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — 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.

07

How dangerous are his carries?

Real ball-carries

19 tracked carries (3.5/90, 3 progressive, 166m 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.

5%21%16%16%5%16%5%11%5%
progressivelateral/short% of his 19 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 30m
By zone — where the carry started → where it ended
10Inside → Inside
7Outside → Outside
2Inside → Outside
First (19)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Only 7 dribbles attempted this season — too little volume to map a location pattern.

04

How does he create chances?

3 key passes (0.55/90), 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:
67%33%
chance creation (3)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 (1)from the right (2)of 3 key passes landing in the final thirdattacking ↑ toward goal
02

Can he finish?

15 shots · 2.27 xG · 1 goals (-1.27 vs xG). Mostly right-footed. Circle size = xG.

shots  15
on target  9
goals  1
xG  2.27
xG on target  2.34
xG / shot  0.151
Where he shoots from — click an area of the box
05

Where does he become vulnerable?

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

21
attacking third (cheap)
19
middle third
3
own third (dangerous)
Vision AI 49% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.92 danger-index/90 · 0.244 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Renaud Ripart 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:
7771532128111811488
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.

1%13%8%8%1%11%8%9%3%6%7%7%14%3%
own goal left, attacking →
03

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 3 key passes, his busiest route is a delivery where he plays inside from the right wing toward the right hs 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 left wing in the middle third: 45% of his 11 touches there are lost (5 times).
—0 touches · too few—0 touches · too few—1 touch · too few—3 touches · too few—3 touches · too few25%2/8 lost20%2/10 lost42%5/12 lost—6 touches · too few45%5/11 lost25%2/8 lost40%4/10 lost44%4/9 lost27%3/11 lost—7 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

89 defensive actions across the season (16.3/90). 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 →
6
tackles · 83% won
1
interceptions · 0.2/90
17
recoveries · 3.1/90
2
clearances · 0.4/90
3
blocks
59
avg action height
35
won high (att 3rd)
40
middle third
14
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 24 proactive ball-wins (4.4/90), tackle success 83%. 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.

62
attacking-half actions · 11.39/90
08

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Renaud Ripart 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 3.8, 2m)
0.50
0.9
0.00
0%
Mid press (PPDA 4.1, 2m)
0.27
1.3
1.30
0%
Low press (PPDA 5.0, 4m)
0.33
2.0
0.56
0%
Team

Team context

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

10

Impact on the Team

Insufficient sample: Renaud Ripart played nearly every Troyes 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.

11

His Share of the Team

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

category
share
him / team
expected goals (xG)
21%
2.3 / 11.1
goals
20%
1 / 5
shots
11%
15 / 132
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

12

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 forward84%Transition runner77%False 958%Poacher53%
Why Pressing forward 84%: a weighted blend of defensive aggression 86 (weight 45%) + ball-winning 73 (weight 30%) + transition 62 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
line-breaking, through-balls, passing directness, defensive aggression
Strong
receiving zones, ball-winning, progression
Average
territory (wide vs central), creativity, transition, box threat, final-third threat, crossing
Weak
build-up, carrying, press resistance, retention, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
95
Through-balls ~proxy
91
Passing directness
90
Defensive aggression
86
Receiving zones
76
Ball-winning
73
Progression
72
Territory (wide vs central)
69
Creativity
63
Transition ~proxy
62
Box threat
62
Final-third threat
61
Crossing
49
Build-up
35
Carrying
15
Press resistance ~proxy
10
Retention
9
Dribbling
2
13

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: 181 cm / 73 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.

Vakoun Bayo Udinese · Serie A · 184 cm / 72 kg
80%
Driven by: dribbling (21%), defensive aggression (17%), press resistance (14%). Different mechanism — Ripart more via ball-winning, territory (wide vs central); Bayo more via retention, carrying.
Gorka Guruzeta Athletic Club · La Liga · 188 cm / 77 kg
79%
Driven by: press resistance (20%), dribbling (19%), defensive aggression (18%). Different mechanism — Ripart more via territory (wide vs central), line-breaking.
Mika Biereth Monaco · 187 cm / 69 kg
75%
Driven by: press resistance (19%), retention (17%), dribbling (14%). Different mechanism — Ripart more via box threat, defensive aggression.
Michael Gregoritsch Augsburg · Bundesliga · 193 cm / 91 kg
70%
Driven by: press resistance (22%), dribbling (18%), retention (16%). Different mechanism — Ripart more via territory (wide vs central), line-breaking.
Mbwana Samatta Le Havre · 183 cm / 77 kg
70%
Driven by: defensive aggression (18%), line-breaking (15%), through-balls (13%). Different mechanism — Ripart more via receiving zones; Samatta more via dribbling, retention.
Valentín Castellanos West Ham · Premier League 25/26 · 178 cm / 70 kg
69%
Driven by: press resistance (16%), passing directness (13%), through-balls (13%). Different mechanism — Ripart more via defensive aggression, receiving zones; Castellanos more via dribbling, retention.
14

Summary

Renaud Ripart is a pressing forward / transition runner: 1 goals from 2.27 xG (-1.27 vs expected), 15 shots, 3 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]

Based on 8 matches (490 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a pressing forward / transition runner — 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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