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Player reportLigue 1 2026
TRO

Paolo Gozzi

Troyes
Defensive full-back FB
11.3 defensive actions/90 · low final-third share 26%
full-backoverlapping full-backprogressioncrossing
254
minutes
3 apps
72%
pass completion
108 passes
12
progressive passes
4.3/90
10
final-3rd entries
3.5/90
0
box entries
0.00/90
32
defensive actions
11.3/90
8
tackles + interceptions
50% tackle win
2
dribbles
50% won
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
Left Wing, Middle third — wide or inverted — mostly in the middle third (43% of his 108 passes)
72% completion · 108× in 3/3 matches
↓
PROGRESS
carry or combine up the flank
4.3 prog/90 · 12× in 3/3 matches
↓
DRIBBLE
beat his man up the line
50% won · 2× in 2/3 matches
↓
DEFEND
1v1 and cover on his side
32 def actions · lost 29% deep · 32× in 3/3 matches
Signature: Receive → Progress → Dribble → Defend — 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: deliver — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
13

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 →
36
passes / match
11.3
def actions / 90
30–40
pass range (matches)
4
clearances
Pass range = his fewest and most passes in any single match this season (30 at the low end, 40 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.

07

How dangerous are his carries?

Real ball-carries

19 tracked carries (6.7/90, 8 progressive, 274m 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%11%5%11%32%11%16%11%
progressivelateral/short% of his 19 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 52m
By zone — where the carry started → where it ended
3Outside → Inside
3Inside → Inside
12Outside → Outside
1Inside → Outside
First (19)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).

6
tackle duels
3
won
3
beaten · 50%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 17%
OUTSIDE 83%
Tackle-duel location — 1 inside · 5 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 17%
Left Half-Space
0 · 0%
Left Wing
5 · 83%
Vision AI beaten in 3 of 6 tackle duels (50% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 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.

04

How does he create chances?

1 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

31 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.

13
attacking third (cheap)
9
middle third
9
own third (dangerous)
Vision AI 42% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.72 danger-index/90 · 0.339 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

Where Does He Receive?

The zones where Paolo Gozzi 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
40%
Primary
Left Wing, Middle third
26%
Secondary
Left Wing, Defensive third
17%
Third
Left Wing, Attacking third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Paolo Gozzi 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:
5302027179111
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%1%5%27%18%25%16%8%
own goal left, attacking →
09

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.

1Key pass
5Cross
1Cutback
12Progressive
16Long ball
By zone — where the pass started → where it landed
24Outside → Inside
6Inside → Inside
43Outside → Outside
5Inside → Outside
By direction
65Forward
23Backward
20Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing, advancing it forward in the defensive third — 7 passes worth 0.35 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the left 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 left half-space in the final third: 67% of his 9 touches there are lost (6 times).
—0 touches · too few—0 touches · too few—0 touches · too few—6 touches · too few25%7/28 lost—0 touches · too few—0 touches · too few—1 touch · too few—2 touches · too few21%9/43 lost—0 touches · too few—0 touches · too few—0 touches · too few67%6/9 lost37%7/19 lostRWRHSCLHSLWDEFMIDATT
02

Crosses & Cutbacks

5 crosses (1.77/90, 0 completed) and 1 cutbacks (0.35/90, 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.

10

How & where does he defend?

32 defensive actions across the season (11.3/90). 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 · 50% won
2
interceptions · 0.7/90
11
recoveries · 3.9/90
4
clearances · 1.4/90
3
blocks
36
avg action height
3
won high (att 3rd)
11
middle third
18
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (6.7/90), tackle success 50%. He defends mostly around the middle third.
Team

Team context

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

11

Impact on the Team

Troyes's output per match with Paolo Gozzi (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
1.67
2.20
-0.53
points /match
0.33
0.80
-0.47
goals for /match
0.33
0.80
-0.47
xG for /match
0.82
0.46
+0.36
12

His Share of the Team

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

category
share
him / team
expected assists (xA)
5%
0.5 / 10.7
tackles
3%
6 / 204
final-third entries
3%
12 / 460
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

14

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 261 full-backs in the pool (min 180 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.

Overlapping full-back24%Inverted full-back20%
Why Overlapping full-back 24%: a weighted blend of transition 56 (weight 25%) + dribbling 51 (weight 20%) + final-third threat 24 (weight 25%) + crossing 3 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness, territory (wide vs central)
Strong
—
Average
defensive aggression, transition, ball-winning, dribbling, press resistance, creativity
Weak
carrying, retention, build-up, final-third threat, box threat, progression, receiving zones, line-breaking, through-balls, crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
100
Territory (wide vs central)
93
Defensive aggression
57
Transition ~proxy
56
Ball-winning
52
Dribbling
51
Press resistance ~proxy
47
Creativity
43
Carrying
35
Retention
29
Build-up
29
Final-third threat
24
Box threat
15
Progression
11
Receiving zones
5
Line-breaking
4
Through-balls ~proxy
4
Crossing
3
15

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: 184 cm) 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.

Lewie Coyle Hull City · Premier League · 173 cm / 67 kg
83%
Driven by: crossing (22%), progression (12%), line-breaking (11%). Different mechanism — Gozzi more via ball-winning, passing directness; Coyle more via through-balls, receiving zones.
Iñigo Arguibide Osasuna · La Liga · 178 cm / 70 kg
77%
Driven by: crossing (15%), receiving zones (13%), line-breaking (11%). Different mechanism — Gozzi more via passing directness, ball-winning.
Dennis Cirkin Sunderland · Premier League 25/26 · 182 cm / 78 kg
77%
Driven by: progression (14%), line-breaking (13%), through-balls (12%). Different mechanism — Gozzi more via creativity, passing directness; Cirkin more via dribbling, crossing.
Luís Balbo Fiorentina · Serie A 25/26 · 177 cm / 72 kg
75%
Driven by: receiving zones (12%), crossing (10%), box threat (10%). Different mechanism — Gozzi more via dribbling, press resistance; Balbo more via defensive aggression, crossing.
Rico Henry Brentford · Premier League · 170 cm / 67 kg
74%
Driven by: crossing (24%), progression (13%), receiving zones (12%). Different mechanism — Gozzi more via passing directness, defensive aggression; Henry more via through-balls, dribbling.
Jacques Ekomié Angers · 179 cm / 74 kg
72%
Driven by: crossing (14%), receiving zones (14%), progression (13%). Different mechanism — Gozzi more via passing directness, creativity; Ekomié more via crossing, box threat.
16

Summary

Paolo Gozzi is an overlapping full-back: 4.3 progressive passes and 0 box entries, delivering 1 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 3 matches (254 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an overlapping full-back — best used in a system built around that identity. His biggest room for growth is crossing — even a modest improvement there would meaningfully lift his overall overlapping full-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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