العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportSerie A 2026

Jacobo Ramón

Como
Ball-playing centre-back CB
8.2 progressive passes/90 · 1.5 line-breaking/90
Capability Analysis
Aerial & Box Defending21%vs 45 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /904.0142%
Ball-Winning65%vs 45 centre-backs
"How actively does he win the ball back?"
Interceptions /901.0844%
Ball recoveries /903.5556%
Tackles /901.6664%
Duels won /903.6296%
Breaking Pressure
no action recorded in any high-press match yet
Progression87%vs 45 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.7987%
Line-breaking passes /901.1284%
Threat added by passing /901.43xT98%
Pass accuracy91.08%78%
Ball-Carrying88%vs 45 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /907.793%
Carry distance /90155.89m84%
centre-backball-playing centre-backbuild-upline-breaking
793
minutes
9 apps
638
passes
91% completed
91%
pass completion
638 passes
72
progressive passes
8.2/90
38
line-breaking passes
4.3/90
157
defensive actions
17.8/90
25
tackles + interceptions
56% tackle win
39
clearances
4.4/90
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
in the first line of build-up — mostly in the middle third (57% of his 638 passes)
91% completion · 638× in 9/9 matches
↓
CARRY OUT
step into midfield to commit a presser
4 carries · 8× in 3/9 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
8.2 prog/90 · 38× in 7/9 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 15× in 7/9 matches
↓
PROGRESS
entries into the final third
6.6/90 · 58× in 8/9 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
17

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 →
71
passes / match
17.8
def actions / 90
34–107
pass range (matches)
39
clearances
Pass range = his fewest and most passes in any single match this season (34 at the low end, 107 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

10

How dangerous are his carries?

Real ball-carries

126 tracked carries (14.3/90, 30 progressive, 1063m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). even a player who rarely dribbles past a man can still carry the ball forward constantly in build-up; this is that.

6%21%18%6%2%12%18%13%2%1%
progressivelateral/short% of his 126 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 52m
By zone — where the carry started → where it ended
3Outside → Inside
102Inside → Inside
8Outside → Outside
13Inside → Outside
First (35)Second (34)Third (33)Fourth (24)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Beaten in the tackle

How often an attacker gets past him in a 1v1 defensive duel — the closest signal the data has to "dribbled past" (no attacker-beat-defender field exists directly, so this counts tackles he attempted and lost).

18
tackle duels
10
won
8
beaten · 44%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 72%
OUTSIDE 28%
Tackle-duel location — 13 inside · 5 outside
Right Wing
4 · 22%
Right Half-Space
5 · 28%
Central
6 · 33%
Left Half-Space
2 · 11%
Left Wing
1 · 6%
Vision AI beaten in 8 of 18 tackle duels (44% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

02

How does he build & move the ball?

How does he escape the first line?

14%
vertical passes
56×
3%
switches
11×
25%
carries
98×
58%
short circulation
225×
Answer: he escapes the press primarily through carrying — stepping out with 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 →RWRHSCLHSLWRW11234%3841%4625%28RHS36134%12119%7040%1465%191%5C10124%2414%1441%4119%193%3LHS650%333%217%1LW2100%2FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right half-space in the middle third → central areas in the final third — 5 progressive passes (12% of his progression) at 0.135 xT each. He moves it inside.

His progression is inward: 56% of progressive passes move the ball toward the middle versus 7% going wider — he cuts in rather than holding width.

Only 6% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 13 line-breaking passes and 58 final-third entries, 12.4 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
8%18%19%17%4%0%1%8%12%9%3%0%0%1%0%
completedincomplete638 passes · any zone → any zone · own goal left, attacking →
638
passes
91%
completed
56
lost
Vision AIIn line with his 91% season completion rate.
03

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

72
progressive · 8.2/90
58
final-third entries · 6.6/90
4
box entries · 0.45/90
25
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
12

How does he create chances?

4 key passes (0.45/90), 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:
25%25%25%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

58 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

12
attacking third (cheap)
28
middle third
18
own third (dangerous)
Vision AI 21% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.78 danger-index/90 · 0.422 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

638
passes attempted
53%
mostly forward
49%
mostly medium
Direction
Forward
337 · 53%
Sideways
233 · 37%
Backward
68 · 11%
Length (completed)
Short (<15m)
265 · 46%
Medium
287 · 49%
Long (>30m)
30 · 5%
07

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.500.500.470.380.360.36
own goal left, attacking →
Highest-value routes (xT)
0.50
Right Half-Space Def third → Central Mid third
6 passes
0.50
Right Half-Space Mid third → Right Wing Att third
7 passes
0.47
Right Half-Space Mid third → Right Half-Space Att third
3 passes
0.38
Right Half-Space Mid third → Right Half-Space Mid third
5 passes
0.36
Right Half-Space Mid third → Right Wing Mid third
6 passes
0.36
Right Half-Space Mid third → Left Wing Att third
2 passes
08

Where Does He Receive?

The zones where Jacobo Ramón 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
36%
Primary
Right Half-Space, Middle third
22%
Secondary
Right Half-Space, Defensive third
11%
Third
Central, Middle third
These are the zones where he collected the ball most.
09

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jacobo Ramón 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:
2514527557191350117119111262
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.

8%18%19%17%4%0%1%8%12%9%3%0%0%1%0%
own goal left, attacking →
11

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.

4Key pass
2Cross
1Cutback
72Progressive
38Long ball
15Switch
By zone — where the pass started → where it landed
76Outside → Inside
314Inside → Inside
38Outside → Outside
154Inside → Outside
By direction
337Forward
68Backward
233Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the right hs toward the central, advancing it forward in the defensive third — 6 passes worth 0.50 xT.
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, advancing it forward in the defensive 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 final third: 29% of his 14 touches there are lost (4 times).
15%8/54 lost6%8/138 lost7%2/29 lost—1 touch · too few—1 touch · too few10%6/60 lost7%16/229 lost9%6/70 lost—5 touches · too few—1 touch · too few20%3/15 lost10%2/20 lost29%4/14 lost—1 touch · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

157 defensive actions across the season (17.8/90). 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 →
18
tackles · 56% won
7
interceptions · 0.8/90
29
recoveries · 3.3/90
39
clearances · 4.4/90
3
blocks
31
avg action height
14
won high (att 3rd)
48
middle third
95
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 54 proactive ball-wins (6.1/90), tackle success 56%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Jacobo Ramón still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~3-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 5.5, 3m)
87%
6.6
5.3
1.11
Mid press (PPDA 7.6, 3m)
93%
9.0
1.9
2.02
Low press (PPDA 10.4, 3m)
93%
8.9
5.4
1.89
Team

Team context

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

15

Impact on the Team

Insufficient sample: Jacobo Ramón played nearly every Como 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.

16

His Share of the Team

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

category
share
him / team
clearances
15%
164 / 1114
goals
12%
2 / 17
interceptions
11%
44 / 388
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 515 centre-backs 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.

Ball-playing centre-back80%Stopper centre-back78%
Why Ball-playing centre-back 80%: a weighted blend of retention 75 (weight 30%) + progression 90 (weight 25%) + build-up 65 (weight 30%) + press resistance 69 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
box threat, progression, receiving zones, carrying, final-third threat
Strong
passing directness, line-breaking, transition, defensive aggression, retention
Average
press resistance, dribbling, build-up, creativity, ball-winning, through-balls
Weak
territory (wide vs central), crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
91
Progression
90
Receiving zones
89
Carrying
88
Final-third threat
87
Passing directness
85
Line-breaking
83
Transition ~proxy
82
Defensive aggression
78
Retention
75
Press resistance ~proxy
69
Dribbling
68
Build-up
65
Creativity
64
Ball-winning
60
Through-balls ~proxy
56
Territory (wide vs central)
38
Crossing
35
19

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: 195 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.

Dayot Upamecano Bayern · Bundesliga · 186 cm / 90 kg
92%
Driven by: transition (17%), carrying (12%), receiving zones (10%). Different mechanism — Upamecano more via crossing.
Nico Schlotterbeck Borussia Dortmund · Bundesliga · 191 cm / 81 kg
88%
Driven by: progression (12%), transition (12%), box threat (12%). Different mechanism — Ramón more via retention; Schlotterbeck more via crossing, through-balls.
Cristian Romero Atletico · La Liga · 185 cm / 78 kg
88%
Driven by: defensive aggression (14%), box threat (12%), transition (10%). Different mechanism — Ramón more via territory (wide vs central); Romero more via through-balls, ball-winning.
António Silva Bournemouth · Premier League · 187 cm / 82 kg
88%
Driven by: transition (15%), progression (15%), box threat (12%). Different mechanism — Ramón more via receiving zones, carrying; Silva more via crossing.
Waldemar Anton Borussia Dortmund · Bundesliga · 189 cm / 86 kg
86%
Driven by: transition (15%), carrying (12%), receiving zones (10%). Different mechanism — Ramón more via box threat, territory (wide vs central); Anton more via crossing.
Dean Huijsen Real Madrid · La Liga · 195 cm / 87 kg
85%
Driven by: progression (14%), transition (11%), box threat (10%). Different mechanism — Ramón more via defensive aggression, ball-winning; Huijsen more via crossing.
20

Summary

Jacobo Ramón is a ball-playing centre-back / stopper centre-back: 91% pass completion, 38 line-breaking passes and 8.2 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 9 matches (793 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back / stopper centre-back — best used in a system built around that identity. His biggest room for growth is build-up — even a modest improvement there would meaningfully lift his overall ball-playing centre-back 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.

Vision AI · building report