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 / MOVE
occupy the box, drop or run channel — mostly in the middle third (51% of his 124 passes)
Signature: occupy / move → link → shoot → convert.
14
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 →
18
passes / match
1.0
dribbles / match
6–43
pass range (matches)
1–1
dribble range (matches)
Pass range = his fewest and most passes in any single match this season (6 at the low end, 43 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.
23 tracked carries (4.3/90, 5 progressive, 199m 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.
progressivelateral/short% of his 23 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 26m
By zone — where the carry started → where it ended
First (23)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 2 dribbles attempted this season — too little volume to map a location pattern.
04
How does he create chances?
7 key passes (1.32/90), 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:
chance creation (7)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 (3)of 7 key passes landing in the final thirdattacking ↑ toward goal
02
Can he finish?
17 shots · 2.16 xG · 2 goals (-0.16 vs xG). Mostly right-footed. Circle size = xG.
shots 17 on target 12 goals 2 xG 2.16 xG on target 2.14 xG / shot 0.127
Where he shoots from — click an area of the box
05
Where does he become vulnerable?
39 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
19
attacking third (cheap)
18
middle third
2
own third (dangerous)
Vision AI 49% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.69 danger-index/90 · 0.231 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 Receive?
The zones where Francesco Pio Esposito 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
18%
Primary
Central, Attacking third
16%
Secondary
Left Half-Space, Attacking third
14%
Third
Central, Middle third
These are the zones where he collected the ball most.
07
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Francesco Pio Esposito 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:
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.
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.
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 7 key passes, his busiest route is a delivery where he plays straight through the left hs in the final third — 4 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: 40% of his 10 touches there are lost (4 times).
47 defensive actions across the season (8.8/90). 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 →
3
tackles · 67% won
0
interceptions · 0.0/90
8
recoveries · 1.5/90
2
clearances · 0.4/90
4
blocks
61
avg action height
22
won high (att 3rd)
20
middle third
5
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 11 proactive ball-wins (2.1/90), tackle success 67%. 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.
30
attacking-half actions · 5.64/90
10
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Francesco Pio Esposito 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 5.7, 2m)
0.01
0.0
0.00
0%
Mid press (PPDA 8.3, 2m)
0.53
1.5
2.20
0%
Low press (PPDA 11.6, 4m)
0.32
0.3
1.17
100%
Team
Team context
How much of the team runs through him, and what changes without him.
Insufficient sample: Francesco Pio Esposito played nearly every Inter 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.
13
His Share of the Team
Of everything Inter produced this season, the categories where the biggest share ran through Francesco Pio Esposito specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
10%
8.8 / 88.6
shots
9%
74 / 837
goals
9%
2 / 23
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
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.
Why Target man 77%: a weighted blend of box threat 81 (weight 50%) + final-third threat 80 (weight 30%) + retention 42 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
press resistance, carrying, dribbling, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
92
Receiving zones
87
Box threat
81
Final-third threat
80
Through-balls ~proxy
76
Creativity
70
Line-breaking
65
Crossing
61
Progression
57
Build-up
51
Defensive aggression
51
Ball-winning
47
Transition ~proxy
43
Retention
42
Press resistance ~proxy
26
Carrying
18
Dribbling
15
Territory (wide vs central)
13
16
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: 190 cm / 80 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.
Michael Gregoritsch Augsburg · Bundesliga · 193 cm / 91 kg
82%
Driven by: press resistance (17%), dribbling (16%), passing directness (14%). Different mechanism — Esposito more via retention, receiving zones.
Vakoun Bayo Udinese · 184 cm / 72 kg
70%
Driven by: dribbling (23%), press resistance (14%), passing directness (13%). Different mechanism — Esposito more via final-third threat, box threat; Bayo more via territory (wide vs central), defensive aggression.
Zian Flemming Ipswich · Premier League · 185 cm / 84 kg
63%
Driven by: carrying (20%), dribbling (19%), passing directness (18%). Different mechanism — Esposito more via receiving zones, final-third threat; Flemming more via territory (wide vs central).
Renaud Ripart Troyes · Ligue 1 · 181 cm / 73 kg
63%
Driven by: dribbling (19%), press resistance (17%), passing directness (13%). Different mechanism — Esposito more via retention, final-third threat; Ripart more via territory (wide vs central), defensive aggression.
Gianluca Scamacca Atalanta · 196 cm / 85 kg
62%
Driven by: territory (wide vs central) (18%), receiving zones (17%), box threat (15%). Different mechanism — Scamacca more via dribbling, press resistance.
Deniz Undav Stuttgart · Bundesliga · 179 cm / 86 kg
62%
Driven by: receiving zones (19%), box threat (17%), final-third threat (14%). Different mechanism — Undav more via press resistance, carrying.
17
Summary
Francesco Pio Esposito is a target man / poacher: 2 goals from 2.16 xG (-0.16 vs expected), 17 shots, 5 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 8 matches (479 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a target man / poacher — best used in a system built around that identity.
His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall target man 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.
← BACK TO SEARCH
