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Player reportLa Liga 2025/26

Adama Boiro

Athletic Club
Defensive full-back FB
13.5 defensive actions/90 · low final-third share 26%
full-backoverlapping full-backprogressioncrossing
904
minutes
15 apps
84%
pass completion
434 passes
38
progressive passes
3.8/90
43
final-3rd entries
4.3/90
5
box entries
0.50/90
136
defensive actions
13.5/90
36
tackles + interceptions
72% tackle win
21
dribbles
38% 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 (54% of his 434 passes)
84% completion · 434× in 15/15 matches
↓
PROGRESS
carry or combine up the flank
3.8 prog/90 · 38× in 12/15 matches
↓
DRIBBLE
beat his man up the line
38% won · 21× in 11/15 matches
↓
DELIVER
cross or cut-back into the box
2 key passes · 5× in 4/15 matches
↓
DEFEND
1v1 and cover on his side
136 def actions · lost 25% deep · 136× in 15/15 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 →
29
passes / match
13.5
def actions / 90
1–54
pass range (matches)
24
clearances
Pass range = his fewest and most passes in any single match this season (1 at the low end, 54 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

87 tracked carries (8.7/90, 27 progressive, 855m 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%3%1%2%13%31%34%13%1%
progressivelateral/short% of his 87 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 51m
By zone — where the carry started → where it ended
7Outside → Inside
25Inside → Inside
41Outside → Outside
14Inside → Outside
First (27)Second (23)Third (21)Fourth (16)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
13
won
5
beaten · 28%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 22%
OUTSIDE 78%
Tackle-duel location — 4 inside · 14 outside
Right Wing
1 · 6%
Right Half-Space
1 · 6%
Central
1 · 6%
Left Half-Space
2 · 11%
Left Wing
13 · 72%
Vision AI beaten in 5 of 18 tackle duels (28% 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: 2.09 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 5%
OUTSIDE 95%
Dribble location — 1 inside · 20 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
1 · 5%
Left Wing
20 · 95%
Vision AI 95% of his carries are wide — an overlapping full-back who hugs the touchline.
07

How does he build & move the ball?

How does he escape the first line?

16%
vertical passes
26×
3%
switches
4×
28%
carries
44×
53%
short circulation
85×
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 →RWRHSCLHSLWRW0RHS0C1010%140%430%320%2LHS924%434%3125%2337%34LW2630%18%2041%10951%133FROM
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 — 9 progressive passes (19% of his progression) at 0.071 xT each. He moves it inside.

His progression is inward: 69% of progressive passes move the ball toward the middle versus 2% going wider — he cuts in rather than holding width.

Only 4% 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 43 final-third entries, 6.7 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%3%1%0%1%2%15%23%30%20%6%
completedincomplete434 passes · any zone → any zone · own goal left, attacking →
434
passes
84%
completed
69
lost
Vision AIIn line with his 84% season completion rate.
08

How does he progress play?

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

38
progressive · 3.8/90
43
final-third entries · 4.3/90
5
box entries · 0.50/90
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?

2 key passes (0.20/90), 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:
50%50%
chance creation (2)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

82 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.

37
attacking third (cheap)
24
middle third
21
own third (dangerous)
Vision AI 45% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.59 danger-index/90 · 0.318 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?

434
passes attempted
42%
mostly forward
54%
mostly short
Direction
Forward
183 · 42%
Sideways
120 · 28%
Backward
131 · 30%
Length (completed)
Short (<15m)
198 · 54%
Medium
150 · 41%
Long (>30m)
17 · 5%
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.

1.100.530.290.240.190.17
own goal left, attacking →
Highest-value routes (xT)
1.10
Left Wing Mid third → Left Wing Att third
11 passes · 1 to a shot
0.53
Left Wing Def third → Left Half-Space Att third
1 passes
0.29
Left Wing Def third → Left Wing Mid third
6 passes
0.24
Left Half-Space Def third → Left Wing Att third
1 passes
0.19
Left Wing Mid third → Left Half-Space Att third
2 passes
0.17
Left Wing Mid third → Left Wing Mid third
3 passes
04

Where Does He Receive?

The zones where Adama Boiro 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
Left Wing, Middle third
24%
Secondary
Left Wing, Attacking third
15%
Third
Left Half-Space, Middle 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 Adama Boiro 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:
10651001349332111524
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%3%1%0%1%2%15%23%30%20%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.

2Key pass
14Cross
3Cutback
38Progressive
44Long ball
9Switch
By zone — where the pass started → where it landed
130Outside → Inside
66Inside → Inside
133Outside → Outside
36Inside → Outside
By direction
183Forward
131Backward
120Sideways
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, advancing it forward in the middle third — 11 passes worth 1.10 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he plays straight through the left wing, 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 final third: 39% of his 18 touches there are lost (7 times).
—0 touches · too few—0 touches · too few—6 touches · too few9%2/22 lost29%16/56 lost—0 touches · too few—0 touches · too few—3 touches · too few9%6/67 lost10%16/165 lost—0 touches · too few—0 touches · too few—1 touch · too few39%7/18 lost23%22/96 lostRWRHSCLHSLWDEFMIDATT
02

Crosses & Cutbacks

14 crosses (1.39/90, 5 completed) and 3 cutbacks (0.30/90, 2 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?

136 defensive actions across the season (13.5/90). 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 · 72% won
18
interceptions · 1.8/90
37
recoveries · 3.7/90
24
clearances · 2.4/90
9
blocks
36
avg action height
12
won high (att 3rd)
53
middle third
71
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 73 proactive ball-wins (7.3/90), tackle success 72%. 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 Adama Boiro 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 ~5-5 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.8, 5m)
81%
5.4
5.4
1.11
Mid press (PPDA 6.7, 5m)
83%
4.5
4.0
1.11
Low press (PPDA 9.8, 5m)
86%
1.9
4.0
0.97
Team

Team context

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

16

Impact on the Team

Athletic Club's output per match with Adama Boiro (1 matches) versus without him (8 matches). Insufficient evidence — the without-sample is only 8 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 (1)
WITHOUT (8)
Δ
goals against /match
2.00
0.88
+1.12
points /match
0.00
1.50
-1.50
goals for /match
0.00
1.50
-1.50
xG for /match
0.31
1.68
-1.37
17

His Share of the Team

Of everything Athletic Club produced this season, the categories where the biggest share ran through Adama Boiro specifically — his share of the team total, not a per-90 rate.

category
share
him / team
interceptions
4%
18 / 458
final-third entries
3%
60 / 2340
tackles
2%
18 / 779
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 232 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-back56%Inverted full-back52%
Why Overlapping full-back 56%: a weighted blend of crossing 58 (weight 30%) + final-third threat 61 (weight 25%) + transition 48 (weight 25%) + dribbling 53 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
retention, defensive aggression, final-third threat, carrying, ball-winning, crossing, press resistance, receiving zones, dribbling, transition, build-up, progression, line-breaking, through-balls
Weak
creativity, passing directness, territory (wide vs central), box threat
Unknown
aerial ability, marking, off-ball running — not in event data
Retention
68
Defensive aggression
64
Final-third threat
61
Carrying
60
Ball-winning
59
Crossing
58
Press resistance ~proxy
56
Receiving zones
56
Dribbling
53
Transition ~proxy
48
Build-up
46
Progression
43
Line-breaking
42
Through-balls ~proxy
40
Creativity
37
Passing directness
37
Territory (wide vs central)
37
Box threat
12
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: 183 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.

Andoni Gorosabel Athletic Club · 174 cm / 70 kg
60%
Driven by: box threat (30%), retention (12%), creativity (9%). Different mechanism — Gorosabel more via through-balls, box threat.
Ignace Van der Brempt Sassuolo · Serie A · 187 cm / 76 kg
59%
Driven by: box threat (38%), creativity (14%), defensive aggression (11%). Different mechanism — Boiro more via final-third threat, passing directness; Brempt more via build-up.
Carlos Puga Malaga · 175 cm / 70 kg
55%
Driven by: box threat (38%), defensive aggression (18%), ball-winning (11%). Different mechanism — Puga more via territory (wide vs central), dribbling.
Jorrel Hato Chelsea · Premier League · 182 cm / 77 kg
47%
Driven by: box threat (24%), retention (18%), territory (wide vs central) (11%). Different mechanism — Boiro more via final-third threat, territory (wide vs central); Hato more via build-up, retention.
Reinildo Mandava Sunderland · Premier League · 183 cm / 73 kg
46%
Driven by: box threat (35%), creativity (19%), retention (8%). Different mechanism — Boiro more via crossing, receiving zones.
Genesis Antwi Strasbourg · Ligue 1 · 189 cm
44%
Driven by: box threat (33%), creativity (14%), retention (13%). Different mechanism — Boiro more via final-third threat, receiving zones; Antwi more via build-up, dribbling.
21

Summary

Adama Boiro is an overlapping full-back: 3.8 progressive passes and 5 box entries, delivering 2 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 15 matches (904 minutes) — a reasonable read, still building toward a full-season sample. He profiles as an overlapping full-back — best used in a system built around that identity. His biggest room for growth is transition — 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.

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