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 reportLa Liga 2026

Abel Bretones

Osasuna
Defensive full-back FB
15.9 defensive actions/90 · low final-third share 28%
Capability Analysis
Ball-Winning46%vs 33 full-backs
"How actively does he win the ball back?"
Interceptions /900.936%
Ball recoveries /904.0561%
Tackles /901.7930%
Duels won /900.7955%
Breaking Pressure
only 108 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Wide Delivery36%vs 33 full-backs
"Does he create danger from wide areas -- crosses and cutbacks?"
Crosses /900.00%
Cross accuracy: 0.0%
Cutbacks /901.8373%
Ball-Carrying53%vs 33 full-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.9145%
Carry distance /9091.5m61%
full-backoverlapping full-backprogressioncrossing
751
minutes
9 apps
78%
pass completion
348 passes
41
progressive passes
4.9/90
23
final-3rd entries
2.8/90
6
box entries
0.72/90
133
defensive actions
15.9/90
24
tackles + interceptions
82% tackle win
15
dribbles
40% 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
Left Wing, Middle third — wide or inverted — mostly in the middle third (44% of his 348 passes)
78% completion · 348× in 9/9 matches
↓
PROGRESS
carry or combine up the flank
4.9 prog/90 · 41× in 9/9 matches
↓
DRIBBLE
beat his man up the line
40% won · 15× in 8/9 matches
↓
DELIVER
cross or cut-back into the box
4 key passes · 6× in 5/9 matches
↓
DEFEND
1v1 and cover on his side
133 def actions · lost 39% deep · 133× in 9/9 matches
Signature: receive wide/inverted → progress the flank → deliver into the box → recover to defend 1v1. Attack the space behind him in transition.
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 →
39
passes / match
15.9
def actions / 90
18–55
pass range (matches)
15
clearances
Pass range = his fewest and most passes in any single match this season (18 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

82 tracked carries (9.8/90, 22 progressive, 847m 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.

1%1%4%23%24%23%21%2%
progressivelateral/short% of his 82 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 45m
By zone — where the carry started → where it ended
12Outside → Inside
12Inside → Inside
55Outside → Outside
3Inside → Outside
First (38)Second (18)Third (14)Fourth (12)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
14
won
3
beaten · 18%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 29%
OUTSIDE 71%
Tackle-duel location — 5 inside · 12 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
2 · 12%
Left Half-Space
3 · 18%
Left Wing
12 · 71%
Vision AI beaten in 3 of 17 tackle duels (18% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

Does he carry outside (overlap) or inside (invert into midfield)? Every carry by channel. Season rate: 1.80 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 20%
OUTSIDE 80%
Dribble location — 3 inside · 12 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
3 · 20%
Left Wing
12 · 80%
Vision AI 80% of his carries are wide — an overlapping full-back who hugs the touchline.
09

How does he build & move the ball?

How does he escape the first line?

22%
vertical passes
26×
3%
switches
3×
37%
carries
44×
39%
short circulation
46×
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 →RWRHSCLHSLWRW1100%1RHS0C714%171%514%1LHS512%12%137%1929%1529%15LW2110%12%45%1035%7458%122FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the final third → the left half-space in the final third — 7 progressive passes (17% of his progression) at 0.060 xT each. He moves it inside.

His progression is inward: 62% 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: 14 line-breaking passes and 23 final-third entries, 4.4 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
0%1%1%1%2%1%9%19%17%24%21%6%
completedincomplete348 passes · any zone → any zone · own goal left, attacking →
348
passes
78%
completed
78
lost
Vision AIIn line with his 78% season completion rate.
07

How does he progress play?

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

41
progressive · 4.9/90
23
final-third entries · 2.8/90
6
box entries · 0.72/90
19
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.
10

How does he create chances?

4 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:
75%25%
chance creation (4)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

87 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.

25
attacking third (cheap)
28
middle third
34
own third (dangerous)
Vision AI 29% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.49 danger-index/90 · 0.431 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
12

What is his passing profile?

348
passes attempted
47%
mostly forward
50%
mostly short
Direction
Forward
162 · 47%
Sideways
75 · 22%
Backward
111 · 32%
Length (completed)
Short (<15m)
134 · 50%
Medium
113 · 42%
Long (>30m)
23 · 9%
11

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.

0.520.500.450.370.360.34
own goal left, attacking →
Highest-value routes (xT)
0.52
Left Wing Att third → Left Wing Att third
4 passes
0.50
Left Wing Mid third → Left Wing Att third
5 passes
0.45
Left Wing Def third → Left Half-Space Mid third
4 passes
0.37
Left Wing Att third → Right Half-Space Att third
1 passes
0.36
Left Wing Mid third → Left Wing Mid third
6 passes
0.34
Central Mid third → Central Att third
1 passes
04

Where Does He Receive?

The zones where Abel Bretones 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
35%
Primary
Left Wing, Middle third
23%
Secondary
Left Wing, Attacking third
21%
Third
Left Wing, Defensive 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 Abel Bretones 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:
336762867624223631
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.

0%1%1%1%2%1%9%19%17%24%21%6%
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.

4Key pass
11Cross
3Cutback
41Progressive
81Long ball
10Switch
By zone — where the pass started → where it landed
89Outside → Inside
41Inside → Inside
123Outside → Outside
17Inside → Outside
By direction
162Forward
111Backward
75Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the left wing in the final third — 4 passes worth 0.52 xT.
Where do his chances come from?
Of 4 key passes, his busiest route is a delivery where he plays inside from the left 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 left wing in the defensive third: 34% of his 73 touches there are lost (25 times).
—0 touches · too few—0 touches · too few—1 touch · too few28%7/25 lost34%25/73 lost—1 touch · too few—0 touches · too few—7 touches · too few8%2/24 lost17%21/121 lost—0 touches · too few—0 touches · too few—1 touch · too few27%4/15 lost21%17/80 lostRWRHSCLHSLWDEFMIDATT
02

Crosses & Cutbacks

11 crosses (1.32/90, 4 completed) and 3 cutbacks (0.36/90, 1 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?

133 defensive actions across the season (15.9/90). 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 · 82% won
7
interceptions · 0.8/90
45
recoveries · 5.4/90
15
clearances · 1.8/90
8
blocks
33
avg action height
9
won high (att 3rd)
50
middle third
74
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 69 proactive ball-wins (8.3/90), tackle success 82%. He defends mostly around the middle third.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Abel Bretones 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 3.7, 3m)
71%
5.6
12.8
1.19
Mid press (PPDA 4.6, 3m)
74%
2.5
8.6
0.68
Low press (PPDA 5.7, 3m)
86%
7.0
8.1
1.33
Team

Team context

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

16

Impact on the Team

Insufficient sample: Abel Bretones played nearly every Osasuna 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.

17

His Share of the Team

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

category
share
him / team
successful take-ons
7%
19 / 270
tackles
7%
50 / 731
interceptions
7%
25 / 374
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.

Overlapping full-back58%Inverted full-back20%
Why Overlapping full-back 58%: a weighted blend of crossing 65 (weight 30%) + transition 58 (weight 25%) + final-third threat 50 (weight 25%) + dribbling 48 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
passing directness, crossing, through-balls, transition, carrying, final-third threat, box threat, territory (wide vs central), dribbling, ball-winning, defensive aggression, line-breaking
Weak
press resistance, creativity, receiving zones, progression, retention, build-up
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
68
Crossing
65
Through-balls ~proxy
62
Transition ~proxy
58
Carrying
52
Final-third threat
50
Box threat
50
Territory (wide vs central)
49
Dribbling
48
Ball-winning
46
Defensive aggression
40
Line-breaking
40
Press resistance ~proxy
37
Creativity
36
Receiving zones
35
Progression
34
Retention
26
Build-up
22
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: 188 cm / 78 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.

Sebastian Sebulonsen Koln · Bundesliga · 187 cm / 78 kg
70%
Driven by: build-up (24%), retention (17%), progression (10%). Different mechanism — Bretones more via territory (wide vs central), crossing; Sebulonsen more via box threat.
Ryan Giles Hull City · Premier League · 179 cm / 72 kg
67%
Driven by: build-up (36%), retention (20%), press resistance (13%). Different mechanism — Bretones more via through-balls, ball-winning; Giles more via territory (wide vs central).
Kristoffer Lund Koln · Bundesliga 25/26 · 184 cm / 65 kg
65%
Driven by: build-up (25%), retention (14%), receiving zones (13%). Different mechanism — Lund more via dribbling.
Jake O'Brien Everton · Premier League · 197 cm / 92 kg
63%
Driven by: retention (18%), press resistance (15%), creativity (11%). Different mechanism — Bretones more via carrying, dribbling; O'Brien more via defensive aggression, passing directness.
Aaron Wan-Bissaka Aston Villa · Premier League · 183 cm / 72 kg
61%
Driven by: build-up (36%), retention (13%), passing directness (13%). Different mechanism — Bretones more via box threat; Wan-Bissaka more via territory (wide vs central), passing directness.
Fabien Centonze Nantes · Ligue 1 25/26 · 182 cm / 75 kg
60%
Driven by: build-up (33%), retention (19%), press resistance (11%). Different mechanism — Bretones more via through-balls, carrying; Centonze more via territory (wide vs central), defensive aggression.
21

Summary

Abel Bretones is an overlapping full-back: 4.9 progressive passes and 6 box entries, delivering 4 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 9 matches (751 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an overlapping full-back — best used in a system built around that identity. His biggest room for growth is dribbling — even a modest improvement there would meaningfully lift his overall overlapping 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.

Vision AI · building report