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Player reportPremier League 2025/26

Ibrahima Konaté

Real Madrid
Ball-playing centre-back CB
6.5 progressive passes/90 · 1.1 line-breaking/90
centre-backball-playing centre-backbuild-upline-breaking
3288
minutes
36 apps
2175
passes
90% completed
90%
pass completion
2175 passes
237
progressive passes
6.5/90
148
line-breaking passes
4.1/90
592
defensive actions
16.2/90
82
tackles + interceptions
53% tackle win
199
clearances
5.4/90
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 (59% of his 2175 passes)
90% completion · 2175× in 36/36 matches
↓
CARRY OUT
step into midfield to commit a presser
10 carries · 20× in 9/36 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
6.5 prog/90 · 148× in 33/36 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 25× in 21/36 matches
↓
PROGRESS
entries into the final third
4.9/90 · 179× in 35/36 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 →
60
passes / match
16.2
def actions / 90
32–97
pass range (matches)
199
clearances
Pass range = his fewest and most passes in any single match this season (32 at the low end, 97 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

627 tracked carries (17.2/90, 161 progressive, 5494m 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.

7%21%21%8%0%3%10%19%9%1%
progressivelateral/short% of his 627 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 37m
By zone — where the carry started → where it ended
58Outside → Inside
506Inside → Inside
35Outside → Outside
28Inside → Outside
First (179)Second (178)Third (144)Fourth (126)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).

53
tackle duels
28
won
25
beaten · 47%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 51%
OUTSIDE 49%
Tackle-duel location — 27 inside · 26 outside
Right Wing
22 · 42%
Right Half-Space
13 · 25%
Central
14 · 26%
Left Half-Space
0 · 0%
Left Wing
4 · 8%
Vision AI beaten in 25 of 53 tackle duels (47% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 0.24 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 40%
OUTSIDE 60%
Dribble location — 4 inside · 6 outside
Right Wing
6 · 60%
Right Half-Space
2 · 20%
Central
1 · 10%
Left Half-Space
1 · 10%
Left Wing
0 · 0%
Vision AI 40% of his carries are central — he steps out through the middle to draw a presser before releasing.
02

How does he build & move the ball?

How does he escape the first line?

14%
vertical passes
195×
1%
switches
16×
37%
carries
505×
47%
short circulation
638×
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 →RWRHSCLHSLWRW28149%13829%8122%610%1RHS109034%37520%22038%4157%770%3C54214%7817%9331%16733%1814%23LHS313%129%932%1035%11LW425%175%3FROM
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 → the right half-space in the final third — 23 progressive passes (17% of his progression) at 0.151 xT each. He keeps it in the same lane.

His progression is inward: 34% of progressive passes move the ball toward the middle versus 13% going wider — he cuts in rather than holding width.

Only 5% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 41 line-breaking passes and 179 final-third entries, 32.3 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
6%18%19%14%2%0%2%10%14%11%2%0%0%1%0%0%0%
completedincomplete2175 passes · any zone → any zone · own goal left, attacking →
2175
passes
90%
completed
227
lost
Vision AIIn line with his 90% season completion rate.
03

How does he progress play?

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

237
progressive · 6.5/90
179
final-third entries · 4.9/90
10
box entries · 0.27/90
22
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?

7 key passes (0.19/90), 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:
14%29%14%14%14%14%
chance creation (7)assist (0)% of the selected group's key passes originating in each zone
06

Where does he become vulnerable?

232 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.

8
attacking third (cheap)
125
middle third
99
own third (dangerous)
Vision AI 3% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.23 danger-index/90 · 0.509 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?

2175
passes attempted
50%
mostly forward
54%
mostly medium
Direction
Forward
1081 · 50%
Sideways
770 · 35%
Backward
324 · 15%
Length (completed)
Short (<15m)
818 · 42%
Medium
1047 · 54%
Long (>30m)
83 · 4%
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.

3.902.001.951.161.141.13
own goal left, attacking →
Highest-value routes (xT)
3.90
Right Half-Space Mid third → Right Half-Space Att third
17 passes · 2 to a shot
2.00
Right Half-Space Mid third → Right Wing Mid third
37 passes
1.95
Right Half-Space Mid third → Right Wing Att third
20 passes · 1 to a shot
1.16
Right Wing Def third → Right Wing Mid third
17 passes
1.14
Right Half-Space Def third → Right Wing Mid third
20 passes
1.13
Right Half-Space Def third → Right Half-Space Mid third
15 passes
08

Where Does He Receive?

The zones where Ibrahima Konaté 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
33%
Primary
Right Half-Space, Middle third
20%
Secondary
Right Half-Space, Defensive third
18%
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 Ibrahima Konaté 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:
511772472273112443913132390411306441
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.

6%18%19%14%2%0%2%10%14%11%2%0%0%1%0%0%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.

7Key pass
4Cross
237Progressive
148Long ball
25Switch
By zone — where the pass started → where it landed
144Outside → Inside
1173Inside → Inside
141Outside → Outside
490Inside → Outside
By direction
1081Forward
324Backward
770Sideways
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 straight through the right hs, advancing it forward in the middle third — 17 passes worth 3.90 xT.
Where do his chances come from?
Of 7 key passes, his busiest route is a delivery where he plays straight through the right hs, advancing it forward in the middle third — 3 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 middle third: 25% of his 20 touches there are lost (5 times).
19%32/170 lost10%42/429 lost10%18/184 lost20%3/15 lost—3 touches · too few14%22/152 lost8%60/721 lost9%34/389 lost25%5/20 lost—4 touches · too few7%1/14 lost11%5/47 lost9%2/23 lost—4 touches · 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?

592 defensive actions across the season (16.2/90). 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 →
53
tackles · 53% won
29
interceptions · 0.8/90
117
recoveries · 3.2/90
199
clearances · 5.4/90
14
blocks
29
avg action height
32
won high (att 3rd)
164
middle third
396
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 199 proactive ball-wins (5.4/90), tackle success 53%. He defends deep, protecting his box — a last-line stopper.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Ibrahima Konaté 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 ~12-12 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 5.3, 12m)
88%
5.9
4.1
1.08
Mid press (PPDA 6.8, 12m)
88%
6.0
4.0
1.12
Low press (PPDA 9.6, 12m)
92%
7.6
4.0
1.50
Team

Team context

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

15

Impact on the Team

Real Madrid's output per match with Ibrahima Konaté (36 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 (36)
WITHOUT (2)
Δ
goals against /match
1.36
2.00
-0.64
points /match
1.64
0.50
+1.14
goals for /match
1.67
1.50
+0.17
xG for /match
1.57
0.67
+0.90
16

His Share of the Team

Of everything Real Madrid produced this season, the categories where the biggest share ran through Ibrahima Konaté specifically — his share of the team total, not a per-90 rate.

category
share
him / team
clearances
20%
232 / 1187
tackles
11%
66 / 602
interceptions
10%
33 / 315
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 513 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-back68%Stopper centre-back54%
Why Ball-playing centre-back 68%: a weighted blend of retention 68 (weight 30%) + build-up 60 (weight 30%) + progression 71 (weight 25%) + press resistance 49 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
receiving zones, carrying, through-balls, progression
Average
line-breaking, crossing, final-third threat, retention, transition, creativity, build-up, defensive aggression, passing directness, press resistance, box threat, ball-winning
Weak
dribbling, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Receiving zones
75
Carrying
74
Through-balls ~proxy
73
Progression
71
Line-breaking
70
Crossing
70
Final-third threat
69
Retention
68
Transition ~proxy
67
Creativity
63
Build-up
60
Defensive aggression
57
Passing directness
56
Press resistance ~proxy
49
Box threat
47
Ball-winning
41
Dribbling
34
Territory (wide vs central)
25
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: 194 cm / 95 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.

Jan Paul van Hecke Tottenham · Premier League · 189 cm / 79 kg
77%
Driven by: progression (14%), receiving zones (12%), carrying (11%). Different mechanism — Hecke more via progression, passing directness.
Moussa Niakhaté Lyon · Ligue 1 · 190 cm / 82 kg
77%
Driven by: transition (15%), progression (12%), carrying (12%). Different mechanism — Konaté more via box threat; Niakhaté more via passing directness, dribbling.
Matthias Ginter Freiburg · Bundesliga · 191 cm / 89 kg
77%
Driven by: carrying (14%), progression (11%), transition (9%). Different mechanism — Konaté more via ball-winning; Ginter more via box threat, territory (wide vs central).
Manuel Akanji Inter · Serie A · 188 cm / 91 kg
77%
Driven by: receiving zones (12%), progression (11%), final-third threat (9%). Different mechanism — Konaté more via passing directness; Akanji more via box threat, ball-winning.
Joachim Andersen Fulham · Premier League · 192 cm / 86 kg
75%
Driven by: carrying (14%), progression (13%), transition (11%). Different mechanism — Konaté more via defensive aggression; Andersen more via dribbling.
Dean Huijsen Real Madrid · 195 cm / 87 kg
73%
Driven by: progression (13%), carrying (11%), receiving zones (11%). Different mechanism — Konaté more via through-balls; Huijsen more via box threat, passing directness.
20

Summary

Ibrahima Konaté is a ball-playing centre-back: 90% pass completion, 148 line-breaking passes and 6.5 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 36 matches (3288 minutes) this season — a reliable read. He profiles as a ball-playing centre-back — best used in a system built around that identity. His biggest room for growth is press resistance — 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.

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