Thin sample this season. Carlos Protesoni has played 4 matches (186 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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
drop between the centre-backs — mostly in the middle third (65% of his 48 passes)
83% completion · 48× in 4/4 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
33% won · 3× in 2/4 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.9 prog/90 · 7× in 3/4 matches
↓
SCREEN / WIN BALL
protect the back four
10.6 ball-wins/90 · 22× in 4/4 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
1.5 f3-entries/90 · 3× in 2/4 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
1 key passes (0.48/90), 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 (1)assist (0)% of the selected group's key passes originating in each zone
02
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 switches it out from the central to the left wing, advancing it forward in the middle third — 1 passes worth 0.13 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he switches it out from the central to the right hs 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 right wing in the middle third: 38% of his 8 touches there are lost (3 times).
43 defensive actions across the season (20.8/90). 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 →
6
tackles · 50% won
6
interceptions · 2.9/90
10
recoveries · 4.8/90
5
clearances · 2.4/90
1
blocks
32
avg action height
1
won high (att 3rd)
16
middle third
26
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 22 proactive ball-wins (10.6/90), 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.
Alaves's output per match with Carlos Protesoni (4 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 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 (4)
WITHOUT (6)
Δ
goals against /match
1.00
1.17
-0.17
points /match
1.00
1.33
-0.33
goals for /match
0.75
1.83
-1.08
xG for /match
0.89
1.39
-0.50
06
His Share of the Team
Of everything Alaves produced this season, the categories where the biggest share ran through Carlos Protesoni specifically — his share of the team total, not a per-90 rate.
category
share
him / team
interceptions
2%
9 / 360
tackles
2%
17 / 746
clearances
2%
19 / 982
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 258 defensive mids 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.
aerial ability, marking, off-ball running — not in event data
Passing directness
86
Box threat
68
Territory (wide vs central)
65
Ball-winning
55
Crossing
41
Build-up
35
Defensive aggression
35
Transition ~proxy
33
Creativity
32
Retention
20
Progression
20
Press resistance ~proxy
19
Line-breaking
19
Final-third threat
15
Carrying
12
Dribbling
9
Receiving zones
8
Through-balls ~proxy
6
08
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 / 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.
Josh Laurent Burnley · Premier League 25/26 · 188 cm / 70 kg
85%
Driven by: receiving zones (13%), final-third threat (11%), progression (9%). Different mechanism — Protesoni more via box threat; Laurent more via dribbling, carrying.
Tomás Soucek West Ham · Premier League 25/26 · 192 cm / 86 kg
82%
Driven by: press resistance (12%), dribbling (10%), carrying (10%). Different mechanism — Protesoni more via ball-winning, passing directness.
Frank Onyeka Coventry · Premier League · 183 cm / 70 kg
82%
Driven by: receiving zones (11%), press resistance (9%), carrying (9%). Different mechanism — Protesoni more via box threat, crossing.
Ryan Yates Nottingham Forest · Premier League · 190 cm / 87 kg
81%
Driven by: carrying (13%), receiving zones (12%), through-balls (11%). Different mechanism — Protesoni more via ball-winning, passing directness; Yates more via crossing, dribbling.
Jan Schöppner Heidenheim · Bundesliga 25/26 · 190 cm / 78 kg
81%
Driven by: press resistance (15%), retention (14%), final-third threat (11%). Different mechanism — Protesoni more via ball-winning; Schöppner more via through-balls, dribbling.
Kristijan Jakic Augsburg · Bundesliga 25/26 · 181 cm / 76 kg
78%
Driven by: through-balls (20%), passing directness (13%), carrying (10%). Different mechanism — Jakic more via final-third threat, dribbling.
09
Summary
Carlos Protesoni is a ball-winning 6: 83% completion, 7 line-breaks and 2.9 progressive passes /90, resisting pressure with 33% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]
Based on 4 matches (186 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — 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 ball-winning 6 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
