His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
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 — 1× (insufficient confidence, hidden — not enough evidence yet); convert — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
02
striker radar — percentile vs his peers
hierarchical score 43/100
A position-aware radar: these 12 axes are the metrics that matter for a striker. Each axis is his percentile among the 70 strikers 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.
League distribution — every dot a striker, dashed cross = league average, diamond = him
XY
Full context table — him vs league average vs top 5%
metric
him
league avg
top 5%
pctl
xG/90
0.33
0.28
0.58
67%
Shots/90
3.42
2.35
4.06
87%
Box deliveries/90
0.86
0.80
2.04
56%
xA/90
0.06
0.06
0.14
64%
Dribbles/90
0.32
0.64
1.33
26%
Dribble %
30.00
36.55
50.44
19%
xT/90
0.14
0.23
0.84
14%
Def actions/90 (padj)
12.29
10.35
15.99
79%
Duel win %
42.05
30.05
44.77
89%
Aerial win %
0.00
0.00
0.00
0%
Pass %
62.31
71.04
81.62
11%
Progressive/90
0.43
0.79
3.25
13%
Evidence-based evaluation
Same underlying data, read by Vision AI: several independent dimensions with the specific evidence behind each, not one number.
Finishing: solid (59/100 vs role peers), driven by shots/90 (well above peer average, 87th percentile).
Chance Creation: average (41/100 vs role peers), driven by shot-creating actions/90 (below peer average, 23rd percentile).
Decision Quality: weak (7/100 vs role peers), driven by pass completion vs difficulty-adjusted expectation (pts) (below peer average, 7th percentile).
Progression Value: below-average (25/100 vs role peers), driven by progressive passes/90 (below peer average, 13th percentile).
Possession Value: solid (59/100 vs role peers), driven by pass completion % (below peer average, 11th percentile). Times dispossessed/90 is well controlled (100th percentile).
55%
avg opponent strength faced
50%
of matches vs top-third teams
Tactical fit (Udinese): his Receiving zones (16) sits well below his own team's average (50, itself the 52% mark league-wide) — the single biggest gap between him and how Udinese plays on the whole.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
25 tracked carries (4.4/90, 6 progressive, 288m 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 25 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 34m
By zone — where the carry started → where it ended
First (17)Second (8)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 6 dribbles attempted this season — too little volume to map a location pattern.
05
How does he create chances?
4 key passes (0.71/90), 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 (4)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 (3)from the right (1)of 4 key passes landing in the final thirdattacking ↑ toward goal
03
Can he finish?
20 shots · 1.98 xG · 1 goals (-0.98 vs xG). Mostly left-footed. Circle size = xG.
shots 20 on target 14 goals 1 xG 1.98 xG on target 1.78 xG / shot 0.099
Where he shoots from — click an area of the box
08
Where does he become vulnerable?
30 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
19
attacking third (cheap)
11
middle third
0
own third (dangerous)
Vision AI 63% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.05 danger-index/90 · 0.197 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04
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 4 key passes, his busiest route is a delivery where he plays inside from the right hs 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 central in the middle third: 56% of his 9 touches there are lost (5 times).
07
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 25 ball-carries, his dominant tendency is that he drives along the touchline (44%). He carries from outside into the middle 1 times and out toward the touchline 3 — a width-holder who drives down the line.
06
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
1 · 4%
Progressive / key pass
1 · 4%
Simple pass
11 · 44%
No clean link
12 · 48%
Of 25 carries, 4% flow straight into a shot of his own, 4% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 48% have no clean link to a next touch of his own close to where the carry ended.
68 defensive actions across the season (12.1/90). 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 · 67% won
3
interceptions · 0.5/90
6
recoveries · 1.1/90
4
clearances · 0.7/90
7
blocks
58
avg action height
27
won high (att 3rd)
33
middle third
8
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 15 proactive ball-wins (2.7/90), 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.
48
attacking-half actions · 8.52/90 — 6th of 159 strikers in the league by total count
10
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Idrissa Gueye keep producing when the game is tight and the press is high? Tiers of ~6-7 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.1, 6m)
0.15
0.0
1.22
25%
Mid press (PPDA 5.8, 6m)
0.05
0.0
0.00
100%
Low press (PPDA 8.5, 7m)
0.19
0.0
0.76
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Udinese's output per match with Idrissa Gueye (19 matches) versus without him (19 matches). A proper on-off model needs many more minutes.
WITH (19)
WITHOUT (19)
Δ
goals for /match
1.05
1.32
-0.26
xG for /match
1.02
0.95
+0.07
goals against /match
1.32
1.21
+0.11
points /match
0.95
1.68
-0.74
13
His Share of the Team
Of everything Udinese produced this season, the categories where the biggest share ran through Idrissa Gueye specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
6%
3.1 / 51.2
shots
6%
32 / 572
goals
2%
1 / 40
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 Pressing forward 70%: a weighted blend of defensive aggression 79 (weight 45%) + ball-winning 62 (weight 30%) + transition 34 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
defensive aggression, through-balls, box threat
Average
crossing, territory (wide vs central), ball-winning, passing directness, carrying
aerial ability, marking, off-ball running — not in event data
Defensive aggression
79
Through-balls ~proxy
76
Box threat
72
Crossing
63
Territory (wide vs central)
62
Ball-winning
62
Passing directness
49
Carrying
45
Line-breaking
39
Creativity
34
Transition ~proxy
34
Progression
27
Dribbling
26
Final-third threat
24
Press resistance ~proxy
20
Build-up
16
Receiving zones
15
Retention
14
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: 185 cm / 66 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.
Antonio Raimondo Frosinone · 185 cm / 73 kg
82%
Driven by: build-up (18%), press resistance (15%), defensive aggression (13%). Different mechanism — Gueye more via crossing, line-breaking; Raimondo more via passing directness, transition.
Dominic Calvert-Lewin Leeds · Premier League · 187 cm / 71 kg
78%
Driven by: press resistance (18%), build-up (17%), retention (16%). Different mechanism — Gueye more via ball-winning, carrying; Calvert-Lewin more via line-breaking, passing directness.
Mostafa Mohamed Nantes · Ligue 1 25/26 · 185 cm / 88 kg
74%
Driven by: press resistance (17%), retention (16%), receiving zones (14%). Different mechanism — Gueye more via box threat, through-balls.
Junior Adamu Schalke · Bundesliga · 183 cm / 79 kg
71%
Driven by: defensive aggression (19%), retention (16%), build-up (14%). Different mechanism — Gueye more via box threat, territory (wide vs central); Adamu more via ball-winning, passing directness.
Orri Óskarsson Real Sociedad · La Liga · 186 cm / 76 kg
70%
Driven by: build-up (20%), retention (15%), final-third threat (12%). Different mechanism — Gueye more via ball-winning, through-balls; Óskarsson more via line-breaking.
Caleb Ekuban Genoa 25/26 · 188 cm / 80 kg
69%
Driven by: receiving zones (19%), retention (17%), build-up (15%). Different mechanism — Gueye more via through-balls, territory (wide vs central).
16
Summary
Idrissa Gueye is a pressing forward / transition runner: 1 goals from 1.98 xG (-0.98 vs expected), 20 shots, 1 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 19 matches (507 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.