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 → Convert — the only steps proven repeatable this season (3 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) — 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.
26 tracked carries (4.9/90, 10 progressive, 367m 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 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 11m, longest 43m
By zone — where the carry started → where it ended
First (21)Second (5)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Does he drop to link or stay central? Touches by channel. Season rate: 2.99 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 69%
OUTSIDE 31%
Dribble location — 11 inside · 5 outside
Right Wing
3 · 19%
Right Half-Space
3 · 19%
Central
4 · 25%
Left Half-Space
4 · 25%
Left Wing
2 · 12%
Vision AI His touches are central and high — a penalty-box striker.
04
How does he create chances?
5 key passes (0.93/90), 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 (5)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 (2)from the right (3)of 5 key passes landing in the final thirdattacking ↑ toward goal
02
Can he finish?
13 shots · 1.13 xG · 3 goals (+1.87 vs xG). Mostly right-footed. Circle size = xG.
shots 13 on target 12 goals 3 xG 1.13 xG on target 1.76 xG / shot 0.087
Where he shoots from — click an area of the box
07
Where does he become vulnerable?
31 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
12
attacking third (cheap)
18
middle third
1
own third (dangerous)
Vision AI 39% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.38 danger-index/90 · 0.238 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 5 key passes, his busiest route is a delivery where he switches it out from the central to the right hs, advancing it forward in the middle 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 middle third: 44% of his 9 touches there are lost (4 times).
06
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 26 ball-carries, his dominant tendency is that he carries through central areas (46%). He carries from outside into the middle 4 times and out toward the touchline 0 — a genuine inside forward who cuts in with the ball.
05
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
2 · 8%
Progressive / key pass
3 · 12%
Simple pass
10 · 38%
No clean link
11 · 42%
Of 26 carries, 8% flow straight into a shot of his own, 12% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 42% have no clean link to a next touch of his own close to where the carry ended.
55 defensive actions across the season (10.3/90). 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 →
2
tackles · 100% won
0
interceptions · 0.0/90
15
recoveries · 2.8/90
3
clearances · 0.6/90
3
blocks
61
avg action height
24
won high (att 3rd)
23
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. 17 proactive ball-wins (3.2/90), tackle success 100%. 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.
43
attacking-half actions · 8.03/90
09
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Mariano Díaz keep producing when the game is tight and the press is high? Tiers of ~3-4 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.1, 3m)
0.25
0.0
0.00
40%
Mid press (PPDA 4.2, 3m)
0.06
0.0
0.53
14%
Low press (PPDA 5.4, 4m)
0.63
1.6
2.12
50%
Team
Team context
How much of the team runs through him, and what changes without him.
Insufficient sample: Mariano Díaz played nearly every Alaves 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.
12
His Share of the Team
Of everything Alaves produced this season, the categories where the biggest share ran through Mariano Díaz specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
21%
3 / 14
shots
4%
19 / 540
zone-14 entries
3%
7 / 223
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 73%: a weighted blend of defensive aggression 74 (weight 45%) + transition 78 (weight 25%) + ball-winning 40 (weight 30%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness
Strong
transition, defensive aggression, territory (wide vs central), creativity
aerial ability, marking, off-ball running — not in event data
Passing directness
90
Transition ~proxy
78
Defensive aggression
74
Territory (wide vs central)
70
Creativity
70
Carrying
66
Crossing
66
Receiving zones
61
Progression
56
Line-breaking
56
Dribbling
46
Final-third threat
46
Press resistance ~proxy
42
Through-balls ~proxy
41
Ball-winning
40
Retention
39
Box threat
24
Build-up
20
14
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: 180 cm / 76 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 La Liga, Bundesliga, Ligue 1, 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.
Armindo Sieb Mainz · Bundesliga 25/26 · 175 cm / 75 kg
63%
Driven by: transition (18%), defensive aggression (17%), build-up (15%). Different mechanism — Díaz more via passing directness; Sieb more via final-third threat, through-balls.
Ignatius Ganago Nantes · Ligue 1 25/26 · 179 cm / 73 kg
60%
Driven by: build-up (39%), transition (14%), defensive aggression (12%). Different mechanism — Díaz more via passing directness, receiving zones; Ganago more via through-balls, dribbling.
Mbwana Samatta Le Havre · Ligue 1 · 183 cm / 77 kg
57%
Driven by: defensive aggression (20%), passing directness (20%), build-up (15%). Different mechanism — Díaz more via carrying; Samatta more via through-balls, line-breaking.
Nelson Weiper Mainz · Bundesliga 25/26 · 191 cm / 82 kg
56%
Driven by: defensive aggression (24%), passing directness (22%), build-up (17%). Different mechanism — Díaz more via crossing, creativity; Weiper more via dribbling.
Paris Brunner Monaco · Ligue 1 · 186 cm / 80 kg
55%
Driven by: build-up (24%), transition (16%), defensive aggression (14%). Different mechanism — Díaz more via territory (wide vs central), crossing; Brunner more via box threat.
Mika Biereth Monaco · Ligue 1 · 187 cm / 69 kg
54%
Driven by: build-up (31%), box threat (13%), creativity (12%). Different mechanism — Díaz more via carrying, retention; Biereth more via through-balls, final-third threat.
15
Summary
Mariano Díaz is a pressing forward / transition runner: 3 goals from 1.13 xG (+1.87 vs expected), 13 shots, 3 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 10 matches (482 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 ball-winning — 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.