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Player reportSerie A 2025/26

Gaetano Oristanio

Torino
Balanced wide forward W
wing 52% · inside 48% — no dominant lane
right winger1v1 carriercuts insidehalf-space creator
1008
minutes
23 apps
1
goals
2.01 xG
41
dribbles
39% won
12
key passes
1.07/90
4
box entries
0.36/90
14
progressive passes
1.2/90
12
final-3rd entries
1.1/90
75%
pass completion
182 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.

RECEIVE
Right Wing, Attacking third — mostly in the attacking third (57% of his 182 passes)
44% of touches wide right · 182× in 20/20 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
39% won · 41× in 20/20 matches
↓
PROGRESS
drive the ball into the final third
1.2 progressive · 1.1 f3/90 · 14× in 11/20 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.07 key passes /90 · 1 goals · 38× in 9/20 matches
Signature: receive wide right → beat the full-back → carry into the left-foot channel → deliver or shoot. Stop the 1v1 on the right and you starve the chain.
02

winger radar — percentile vs his peers

hierarchical score 40/100

A position-aware radar: these 12 axes are the metrics that matter for a winger. Each axis is his percentile among the 51 wingers in the league (min 450 min). (padj) = possession-adjusted: defensive volumes are scaled by how much defending his team actually does, so opportunity is not confused with ability.

Dribbles/9059% · #21/51(1.44)Dribble %61% · #20/51(39.02)Box deliveries/9012% · #45/51(1.08)xA/9039% · #31/51(0.08)xT/904% · #49/51(0.35)xG/9057% · #22/51(0.18)Shots/9067% · #17/51(2.34)Final-3rd/9029% · #36/51(2.69)Progressive/9020% · #41/51(2.25)Half-space/904% · #49/51(1.35)Def actions/90 (padj)20% · #41/51(6.82)Duel win %59% · #21/51(15.09)
Radar read: strongest on shots/90 (67%), dribble % (61%), dribbles/90 (59%); weakest axes xt/90 (4%), half-space/90 (4%). Percentiles, not raw values — 50% = league-average winger.
League distribution — every dot a winger, dashed cross = league average, diamond = him
X Y
Full context table — him vs league average vs top 5%
metrichimleague avgtop 5%pctl
Dribbles/901.441.272.6159%
Dribble %39.0237.2148.7461%
Box deliveries/901.081.913.9612%
xA/900.080.090.1739%
xT/900.350.691.524%
xG/900.180.160.3157%
Shots/902.341.933.1367%
Final-3rd/902.693.405.1029%
Progressive/902.253.767.9820%
Half-space/901.353.016.264%
Def actions/90 (padj)6.829.9315.0420%
Duel win %15.0913.0430.0359%

Evidence-based evaluation

Same underlying data, read by Vision AI: several independent dimensions with the specific evidence behind each, not one number.

Chance Creation: below-average (28/100 vs role peers), driven by box entries/90 (below peer average, 12th percentile).
Finishing: average (43/100 vs role peers), driven by goal-creating actions/90 (below peer average, 4th percentile).
Progression Value: weak (16/100 vs role peers), driven by positive xT added/90 (below peer average, 4th percentile).
Decision Quality: average (41/100 vs role peers), driven by pass completion vs difficulty-adjusted expectation (pts) (below peer average, 41st percentile).
Possession Value: strong (83/100 vs role peers), driven by location-weighted turnover cost/90 (well above peer average, 98th percentile). Times dispossessed/90 is well controlled (100th percentile).
48%
avg opponent strength faced
33%
of matches vs top-third teams
Tactical fit (Torino): his Through-balls (2) sits well below his own team's average (54, itself the 65% mark league-wide) — the single biggest gap between him and how Torino plays on the whole.
03

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 →
9
passes / match
2.0
dribbles / match
3–19
pass range (matches)
1–7
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (3 at the low end, 19 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.

06

How dangerous are his carries?

Real ball-carries

105 tracked carries (9.4/90, 30 progressive, 1227m 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.

1%11%20%32%6%1%2%8%3%1%1%9%3%3%
progressivelateral/short% of his 105 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 48m
By zone — where the carry started → where it ended
23Outside → Inside
35Inside → Inside
40Outside → Outside
7Inside → Outside
First (54)Second (26)Third (13)Fourth (12)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Gaetano Oristanio's signature is the dribble. Does he carry outside (down the right wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 3.68 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 56%
OUTSIDE 44%
Dribble location — 23 inside · 18 outside
Right Wing
15 · 37%
Right Half-Space
14 · 34%
Central
6 · 15%
Left Half-Space
3 · 7%
Left Wing
3 · 7%
Vision AI 44% of his dribbles are in the wide right lane — he attacks the full-back on the outside, then threatens to cut inside onto his left foot.
16

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 →RWRHSCLHSLWRW6746%3145%307%51%1RHS2711%322%648%134%115%4C1644%725%431%5LHS1225%38%167%8LW157%17%17%180%12FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → the right half-space in the final third — 6 progressive passes (24% of his progression) at 0.029 xT each. He moves it inside.

His progression is inward: 64% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 10 line-breaking passes and 12 final-third entries, 1.3 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
1%9%18%25%14%1%3%3%6%2%1%2%5%4%5%
completedincomplete182 passes · any zone → any zone · own goal left, attacking →
182
passes
75%
completed
45
lost
Vision AIIn line with his 75% season completion rate.
09

How does he create chances?

12 key passes (1.07/90), 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:
17%42%8%8%8%17%
chance creation (12)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 (4)from the right (8)of 12 key passes landing in the final thirdattacking ↑ toward goal
12

Can he finish?

26 shots · 2.01 xG · 1 goals (-1.01 vs xG). Mostly left-footed. Circle size = xG.

shots  26
on target  16
goals  1
xG  2.01
xG on target  1.24
xG / shot  0.077
Where he shoots from — click an area of the box
13

Where does he become vulnerable?

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

43
attacking third (cheap)
22
middle third
5
own third (dangerous)
Vision AI 61% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.27 danger-index/90 · 0.203 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
14

What is his passing profile?

182
passes attempted
36%
mostly backward
58%
mostly short
Direction
Forward
53 · 29%
Sideways
64 · 35%
Backward
65 · 36%
Length (completed)
Short (<15m)
80 · 58%
Medium
44 · 32%
Long (>30m)
13 · 9%
04

Where Does He Receive?

The zones where Gaetano Oristanio 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
26%
Primary
Right Wing, Attacking third
17%
Secondary
Right Wing, Middle third
16%
Third
Right Half-Space, Attacking third
These are the zones where he collected the ball most.
05

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Gaetano Oristanio 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:
241210103752318418366334
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%9%18%25%14%1%3%3%6%2%1%2%5%4%5%
own goal left, attacking →
15

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.

12Key pass
7Cross
12Cutback
14Progressive
19Long ball
10Switch
By zone — where the pass started → where it landed
38Outside → Inside
35Inside → Inside
44Outside → Outside
20Inside → Outside
By direction
53Forward
65Backward
64Sideways
own goal left, attacking →
11

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 right wing, advancing it forward in the middle third — 3 passes worth 0.48 xT.
Where do his chances come from?
Of 12 key passes, his busiest route is a delivery where he plays inside from the right hs toward 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 right half-space in the final third: 35% of his 26 touches there are lost (9 times).
—2 touches · too few—1 touch · too few—1 touch · too few—1 touch · too few—1 touch · too few19%7/37 lost31%4/13 lost33%3/9 lost0%0/8 lost—5 touches · too few20%9/45 lost35%9/26 lost23%3/13 lost—6 touches · too few21%3/14 lostRWRHSCLHSLWDEFMIDATT
10

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 105 ball-carries, his dominant tendency is that he drives along the touchline (38%). He carries from outside into the middle 23 times and out toward the touchline 7 — a genuine inside forward who cuts in with the ball.
07

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
10 · 10%
Progressive / key pass
15 · 14%
Simple pass
43 · 41%
No clean link
37 · 35%
Of 105 carries, 10% flow straight into a shot of his own, 14% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 35% have no clean link to a next touch of his own close to where the carry ended.
08

Crosses & Cutbacks

7 crosses (0.62/90, 1 completed) and 12 cutbacks (1.07/90, 4 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.

18

How & where does he defend?

84 defensive actions across the season (7.5/90). 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 →
10
tackles · 50% won
3
interceptions · 0.3/90
31
recoveries · 2.8/90
6
clearances · 0.5/90
8
blocks
44
avg action height
20
won high (att 3rd)
30
middle third
34
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 44 proactive ball-wins (3.9/90), tackle success 50%. 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.

37
attacking-half actions · 3.30/90 — 134th of 159 wingers in the league by total count
17

Against Different Pressing Intensities

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Gaetano Oristanio keep producing when the game is tight and the press is high? Tiers of ~7-9 matches — directional evidence, not proof.

press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.6, 7m)
0.18
1.0
0.51
50%
Mid press (PPDA 7.0, 7m)
0.49
1.7
1.37
31%
Low press (PPDA 9.3, 9m)
0.42
1.1
1.38
38%
Team

Team context

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

19

Impact on the Team

Insufficient sample: Gaetano Oristanio played nearly every Torino 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.

20

His Share of the Team

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

category
share
him / team
successful take-ons
6%
16 / 261
shots
5%
26 / 560
expected goals (xG)
4%
2.0 / 45.4
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

21

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 182 wingers 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.

Wide dribbler / isolator40%Inside forward34%Transition runner29%Half-space creator25%
Why Wide dribbler / isolator 40%: a weighted blend of dribbling 61 (weight 40%) + box threat 52 (weight 20%) + crossing 26 (weight 20%) + final-third threat 17 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
dribbling, press resistance, passing directness, box threat, retention, territory (wide vs central)
Weak
defensive aggression, carrying, transition, crossing, ball-winning, creativity, build-up, progression, final-third threat, line-breaking, receiving zones, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Dribbling
61
Press resistance ~proxy
55
Passing directness
54
Box threat
52
Retention
50
Territory (wide vs central)
50
Defensive aggression
37
Carrying
36
Transition ~proxy
33
Crossing
26
Ball-winning
26
Creativity
23
Build-up
22
Progression
19
Final-third threat
17
Line-breaking
16
Receiving zones
11
Through-balls ~proxy
2
22

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: 175 cm / 62 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Gabriel Martinelli Arsenal · Premier League 25/26 · 178 cm / 74 kg
89%
Driven by: build-up (14%), through-balls (13%), final-third threat (12%). Different mechanism — Oristanio more via territory (wide vs central).
Jorge de Frutos Rayo Vallecano · La Liga · 173 cm / 72 kg
86%
Driven by: final-third threat (12%), through-balls (12%), progression (12%). Different mechanism — Oristanio more via carrying, territory (wide vs central); Frutos more via defensive aggression.
Saïd El Mala Koln · Bundesliga · 183 cm / 72 kg
81%
Driven by: build-up (16%), through-balls (14%), final-third threat (12%). Different mechanism — Oristanio more via retention; Mala more via defensive aggression, box threat.
Zito Luvumbo Cagliari · La Liga 25/26 · 171 cm / 65 kg
80%
Driven by: build-up (17%), through-balls (11%), ball-winning (11%). Different mechanism — Oristanio more via retention, press resistance; Luvumbo more via passing directness.
Ernest Nuamah Lyon · Ligue 1 · 178 cm / 71 kg
80%
Driven by: build-up (15%), progression (12%), through-balls (12%). Different mechanism — Oristanio more via passing directness, territory (wide vs central); Nuamah more via dribbling, box threat.
Jan Virgili Mallorca · La Liga 25/26 · 168 cm
76%
Driven by: through-balls (18%), progression (13%), final-third threat (12%). Different mechanism — Oristanio more via passing directness, box threat; Virgili more via receiving zones, creativity.
23

Summary

Gaetano Oristanio is a wide, outside-first right carrier: 44% of dribbles in the wing lane, 57% of passes from wide — but 53% land inside. 1.2 progressive passes and 1.07 key passes /90 plus 1 goals from 2.01 xG. A carry-and-deliver threat.

Based on 23 matches (1008 minutes) — a reasonable read, still building toward a full-season sample. He profiles as a wide dribbler / isolator — best used in a system built around that identity. His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall wide dribbler / isolator 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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