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Player reportLa Liga 2026
RS

Maguette Gueye

Racing Santander
Ball-winning 6 (destroyer) DM
16.2 defensive actions/90
defensive midtempo controllerpress resistancescreening
195
minutes
7 apps
60
passes
78% completed
78%
pass completion
60 passes
5
progressive passes
2.3/90
35
defensive actions
16.2/90
2
tackles + interceptions
0% tackle win
12
recoveries
5.5/90
7
line-breaking passes
3.2/90
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
drop between the centre-backs — mostly in the middle third (67% of his 60 passes)
78% completion · 60× in 7/7 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
67% won · 3× in 3/7 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.3 prog/90 · 7× in 4/7 matches
↓
SCREEN / WIN BALL
protect the back four
6.5 ball-wins/90 · 14× in 7/7 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
1.4 f3-entries/90 · 3× in 2/7 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
In possession

In possession

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

04

How dangerous are his carries?

Real ball-carries

16 tracked carries (7.4/90, 3 progressive, 167m 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%6%31%12%19%12%6%6%
progressivelateral/short% of his 16 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 21m
By zone — where the carry started → where it ended
1Outside → Inside
12Inside → Inside
2Outside → Outside
1Inside → Outside
First (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).

1
tackle duels
0
won
1
beaten · 100%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 0%
OUTSIDE 100%
Tackle-duel location — 0 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
1 · 100%
Vision AI beaten in 1 of 1 tackle duels (100% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 3 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.

03

How does he create chances?

0 key passes (0.00/90), 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:
chance creation (0)assist (0)% of the selected group's key passes originating in each zone
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 →
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: 22% of his 9 touches there are lost (2 times).
—0 touches · too few—4 touches · too few—1 touch · too few—4 touches · too few—3 touches · too few—5 touches · too few—6 touches · too few13%2/15 lost22%2/9 lost—5 touches · too few—1 touch · too few—1 touch · too few—3 touches · too few—2 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

06

How & where does he defend?

35 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 →
1
tackles · 0% won
1
interceptions · 0.5/90
12
recoveries · 5.5/90
6
clearances · 2.8/90
1
blocks
38
avg action height
5
won high (att 3rd)
16
middle third
14
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 14 proactive ball-wins (6.5/90), tackle success 0%. He defends mostly around the middle third.
05

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Maguette Gueye 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 ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.3, 2m)
65%
0.9
1.7
0.35
Mid press (PPDA 3.8, 2m)
73%
2.2
2.2
0.60
Low press (PPDA 5.3, 3m)
95%
5.4
7.2
1.36
Team

Team context

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

07

Impact on the Team

Racing Santander's output per match with Maguette Gueye (7 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 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 (7)
WITHOUT (3)
Δ
goals against /match
2.29
3.33
-1.05
points /match
1.57
0.00
+1.57
goals for /match
1.86
0.67
+1.19
xG for /match
1.64
0.52
+1.12
08

His Share of the Team

Of everything Racing Santander produced this season, the categories where the biggest share ran through Maguette Gueye specifically — his share of the team total, not a per-90 rate.

category
share
him / team
goals
7%
1 / 15
expected goals (xG)
3%
0.6 / 20.1
ball recoveries
1%
12 / 859
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

09

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 302 defensive mids in the pool (min 180 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.

Tempo controller32%Deep-lying playmaker31%Ball-winning 626%
Why Tempo controller 32%: a weighted blend of build-up 41 (weight 30%) + press resistance 59 (weight 20%) + retention 27 (weight 35%) + progression 20 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
passing directness, box threat
Strong
dribbling, territory (wide vs central)
Average
press resistance, transition, defensive aggression, build-up
Weak
ball-winning, carrying, retention, final-third threat, progression, creativity, line-breaking, through-balls, receiving zones, crossing
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
98
Box threat
88
Dribbling
84
Territory (wide vs central)
83
Press resistance ~proxy
59
Transition ~proxy
57
Defensive aggression
49
Build-up
41
Ball-winning
29
Carrying
29
Retention
27
Final-third threat
23
Progression
20
Creativity
19
Line-breaking
12
Through-balls ~proxy
12
Receiving zones
11
Crossing
9
10

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 / 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.

Lucas Torró Osasuna · 190 cm / 77 kg
79%
Driven by: passing directness (13%), progression (11%), carrying (9%). Different mechanism — Gueye more via territory (wide vs central), dribbling; Torró more via crossing, line-breaking.
Tommaso Pobega Bologna · Serie A · 188 cm / 75 kg
78%
Driven by: crossing (17%), creativity (16%), receiving zones (11%). Different mechanism — Gueye more via passing directness, transition.
Josh Laurent Burnley · Premier League 25/26 · 188 cm / 70 kg
75%
Driven by: receiving zones (12%), creativity (12%), passing directness (11%). Different mechanism — Gueye more via box threat, dribbling; Laurent more via crossing.
Soungoutou Magassa West Ham · Premier League 25/26 · 188 cm / 80 kg
70%
Driven by: crossing (19%), receiving zones (13%), passing directness (10%). Different mechanism — Gueye more via box threat; Magassa more via ball-winning, through-balls.
Kristijan Jakic Augsburg · Bundesliga 25/26 · 181 cm / 76 kg
70%
Driven by: passing directness (21%), through-balls (17%), crossing (16%). Different mechanism — Gueye more via dribbling, territory (wide vs central); Jakic more via creativity, final-third threat.
Yangel Herrera Real Sociedad · 184 cm / 78 kg
69%
Driven by: ball-winning (15%), passing directness (15%), crossing (13%). Different mechanism — Gueye more via dribbling, box threat; Herrera more via line-breaking, receiving zones.
11

Summary

Maguette Gueye is a tempo controller: 78% completion, 7 line-breaks and 2.3 progressive passes /90, resisting pressure with 67% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 7 matches (195 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller — 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 tempo controller 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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