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Player reportLa Liga 2026
DEP

Ximo Navarro

Deportivo
Defensive full-back FB
15.0 defensive actions/90 · low final-third share 22%
Capability Analysis
Ball-Winning52%vs 33 full-backs
"How actively does he win the ball back?"
Interceptions /901.3479%
Ball recoveries /902.289%
Tackles /902.2858%
Duels won /900.861%
Breaking Pressure
only 27 pressured-passing actions across 1 high-press match -- not enough sample (needs 5+ matches and 12+ actions)
Wide Delivery2%vs 33 full-backs
"Does he create danger from wide areas -- crosses and cutbacks?"
Crosses /900.00%
Cross accuracy: 0.0%
Cutbacks /900.543%
Ball-Carrying9%vs 33 full-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.686%
Carry distance /9064.83m12%
full-backinverted full-backprogressioncrossing
672
minutes
8 apps
84%
pass completion
347 passes
30
progressive passes
4.0/90
24
final-3rd entries
3.2/90
2
box entries
0.27/90
112
defensive actions
15.0/90
27
tackles + interceptions
65% tackle win
5
dribbles
0% won
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
Right Wing, Middle third — wide or inverted — mostly in the middle third (47% of his 347 passes)
84% completion · 347× in 8/8 matches
↓
PROGRESS
carry or combine up the flank
4.0 prog/90 · 30× in 8/8 matches
↓
DRIBBLE
beat his man up the line
0% won · 5× in 3/8 matches
↓
DEFEND
1v1 and cover on his side
112 def actions · lost 33% deep · 112× in 8/8 matches
Signature: Receive → Progress → Dribble → Defend — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: deliver — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
18

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 →
43
passes / match
15.0
def actions / 90
31–55
pass range (matches)
32
clearances
Pass range = his fewest and most passes in any single match this season (31 at the low end, 55 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.

06

How dangerous are his carries?

Real ball-carries

57 tracked carries (7.6/90, 10 progressive, 484m 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.

5%21%28%28%16%2%
progressivelateral/short% of his 57 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 27m
By zone — where the carry started → where it ended
10Outside → Inside
8Inside → Inside
36Outside → Outside
3Inside → Outside
First (21)Second (15)Third (13)Fourth (8)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).

17
tackle duels
11
won
6
beaten · 35%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 29%
OUTSIDE 71%
Tackle-duel location — 5 inside · 12 outside
Right Wing
12 · 71%
Right Half-Space
4 · 24%
Central
1 · 6%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 6 of 17 tackle duels (35% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 5 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.

07

How does he build & move the ball?

How does he escape the first line?

13%
vertical passes
21×
3%
switches
5×
19%
carries
32×
65%
short circulation
108×
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 →RWRHSCLHSLWRW23061%14028%6411%26RHS5428%1535%1933%184%2C911%111%167%611%1LHS0LW0FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the middle third → the right wing in the final third — 8 progressive passes (23% of his progression) at 0.080 xT each. He keeps it in the same lane.

His progression is inward: 46% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 6 line-breaking passes and 24 final-third entries, 2.3 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
5%24%23%22%16%6%1%2%1%1%0%
completedincomplete347 passes · any zone → any zone · own goal left, attacking →
347
passes
84%
completed
54
lost
Vision AIIn line with his 84% season completion rate.
09

How does he progress play?

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

30
progressive · 4.0/90
24
final-third entries · 3.2/90
2
box entries · 0.27/90
15
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.
08

How does he create chances?

1 key passes (0.13/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
10

Where does he become vulnerable?

59 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.

21
attacking third (cheap)
18
middle third
20
own third (dangerous)
Vision AI 36% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.98 danger-index/90 · 0.377 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
11

What is his passing profile?

347
passes attempted
37%
mostly backward
54%
mostly short
Direction
Forward
124 · 36%
Sideways
93 · 27%
Backward
130 · 37%
Length (completed)
Short (<15m)
159 · 54%
Medium
117 · 40%
Long (>30m)
17 · 6%
12

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.

1.110.740.280.280.140.09
own goal left, attacking →
Highest-value routes (xT)
1.11
Right Wing Mid third → Right Wing Att third
10 passes
0.74
Right Wing Mid third → Right Half-Space Att third
3 passes · 1 to a shot
0.28
Right Wing Def third → Right Wing Mid third
5 passes
0.28
Right Wing Att third → Right Half-Space Att third
1 passes
0.14
Right Wing Mid third → Right Wing Mid third
2 passes
0.09
Right Wing Mid third → Right Half-Space Mid third
1 passes
04

Where Does He Receive?

The zones where Ximo Navarro 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
37%
Primary
Right Wing, Middle third
23%
Secondary
Right Wing, Defensive third
18%
Third
Right Wing, Attacking third
These are the zones where he collected the ball most.
05

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Ximo Navarro 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:
272323168681795520
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.

5%24%23%22%16%6%1%2%1%1%0%
own goal left, attacking →
13

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.

1Key pass
3Cross
3Cutback
30Progressive
41Long ball
9Switch
By zone — where the pass started → where it landed
90Outside → Inside
46Inside → Inside
140Outside → Outside
17Inside → Outside
By direction
124Forward
130Backward
93Sideways
own goal left, attacking →
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 plays straight through the right wing, advancing it forward in the middle third — 10 passes worth 1.11 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the right wing toward 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 right half-space in the final third: 57% of his 14 touches there are lost (8 times).
18%14/76 lost8%2/25 lost—6 touches · too few—0 touches · too few—0 touches · too few7%9/128 lost22%7/32 lost—4 touches · too few—0 touches · too few—0 touches · too few21%13/62 lost57%8/14 lost—0 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
03

Crosses & Cutbacks

3 crosses (0.40/90, 2 completed) and 3 cutbacks (0.40/90, 0 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.

Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Out of possession

Out of possession

Where and how he defends and presses.

14

How & where does he defend?

112 defensive actions across the season (15.0/90). 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 →
17
tackles · 65% won
10
interceptions · 1.3/90
17
recoveries · 2.3/90
32
clearances · 4.3/90
2
blocks
29
avg action height
6
won high (att 3rd)
30
middle third
76
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 44 proactive ball-wins (5.9/90), tackle success 65%. He defends deep, protecting his box — a last-line stopper.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Ximo Navarro 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 ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.5, 2m)
88%
3.8
3.8
0.84
Mid press (PPDA 4.9, 2m)
81%
3.3
6.1
0.89
Low press (PPDA 5.3, 4m)
85%
4.5
5.7
0.82
Team

Team context

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

16

Impact on the Team

Deportivo's output per match with Ximo Navarro (8 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 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 (8)
WITHOUT (2)
Δ
goals against /match
1.38
1.00
+0.38
points /match
1.38
0.00
+1.38
goals for /match
1.62
0.00
+1.62
xG for /match
1.19
1.01
+0.18
17

His Share of the Team

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

category
share
him / team
clearances
8%
32 / 403
tackles
8%
17 / 225
interceptions
8%
10 / 133
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 233 full-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.

Inverted full-back54%Overlapping full-back10%
Why Inverted full-back 54%: a weighted blend of build-up 75 (weight 35%) + retention 63 (weight 30%) + progression 18 (weight 25%) + press resistance 29 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
build-up
Average
territory (wide vs central), retention, ball-winning, creativity, defensive aggression, box threat
Weak
press resistance, receiving zones, final-third threat, progression, carrying, crossing, through-balls, transition, line-breaking, passing directness, dribbling
Unknown
aerial ability, marking, off-ball running — not in event data
Build-up
75
Territory (wide vs central)
69
Retention
63
Ball-winning
54
Creativity
50
Defensive aggression
48
Box threat
47
Press resistance ~proxy
29
Receiving zones
28
Final-third threat
27
Progression
18
Carrying
15
Crossing
12
Through-balls ~proxy
12
Transition ~proxy
10
Line-breaking
9
Passing directness
8
Dribbling
2
20

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: 176 cm / 75 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.

Álex Valle Como · Serie A · 178 cm / 72 kg
80%
Driven by: transition (17%), dribbling (15%), crossing (11%). Different mechanism — Navarro more via territory (wide vs central); Valle more via receiving zones, defensive aggression.
Lukas Kübler Freiburg · Bundesliga · 182 cm / 78 kg
79%
Driven by: transition (20%), carrying (11%), crossing (11%). Different mechanism — Navarro more via territory (wide vs central), creativity; Kübler more via box threat, dribbling.
Thibault De Smet Paris FC · Ligue 1 · 183 cm / 65 kg
76%
Driven by: transition (18%), crossing (18%), passing directness (12%). Different mechanism — Navarro more via ball-winning, box threat; Smet more via dribbling, press resistance.
Sacha Boey Bayern · Bundesliga · 178 cm / 70 kg
75%
Driven by: transition (14%), progression (14%), passing directness (14%). Different mechanism — Navarro more via creativity, build-up; Boey more via crossing, box threat.
Ulisses Garcia Marseille · Ligue 1 · 182 cm / 73 kg
72%
Driven by: transition (24%), dribbling (16%), carrying (14%). Different mechanism — Navarro more via territory (wide vs central), ball-winning; Garcia more via crossing, through-balls.
Matteo Darmian Bologna · Serie A · 182 cm / 70 kg
71%
Driven by: transition (18%), dribbling (17%), carrying (13%). Different mechanism — Navarro more via territory (wide vs central), box threat; Darmian more via passing directness, line-breaking.
21

Summary

Ximo Navarro is an inverted full-back: 4.0 progressive passes and 2 box entries, delivering 1 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 8 matches (672 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an inverted full-back — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall inverted full-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.

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