Thin sample this season. Mohammed Salisu has played 2 matches (69 min) so far, so sections that need a bigger sample to say anything reliable are not shown here — they are missing on purpose, not broken. See all seasons combined →
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 (65% of his 82 passes)
93% completion · 82× in 1/1 matches
↓
CARRY OUT
step into midfield to commit a presser
2 carries · 4× in 1/1 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.8 prog/90 · 3× in 1/1 matches
↓
PROGRESS
entries into the final third
7.8/90 · 6× in 1/1 matches
Signature: Receive → Carry Out → Break A Line → Progress — 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: switch play — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
26 tracked carries (33.9/90, 5 progressive, 257m 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.
progressivelateral/short% of his 26 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 26m
By zone — where the carry started → where it ended
First (19)Second (7)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
1
won
0
beaten · 0%
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 0 of 1 tackle duels (0% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →
He attempted only 2 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.
04
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 →
How does he progress the ball forward?
His most common route for progressing play: he switches it out from the left hs to the left wing, advancing it forward in the middle third — 3 passes worth 0.31 xT.
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 defensive third: 5% of his 21 touches there are lost (1 times).
28 defensive actions across the season (36.5/90). 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 →
1
tackles · 100% won
5
interceptions · 6.5/90
5
recoveries · 6.5/90
8
clearances · 10.4/90
1
blocks
29
avg action height
2
won high (att 3rd)
8
middle third
18
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 11 proactive ball-wins (14.3/90), tackle success 100%. He defends deep, protecting his box — a last-line stopper.
Team
Team context
How much of the team runs through him, and what changes without him.
Monaco's output per match with Mohammed Salisu (2 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 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 (2)
WITHOUT (6)
Δ
goals against /match
1.00
0.83
+0.17
points /match
1.50
2.00
-0.50
goals for /match
1.00
1.50
-0.50
xG for /match
0.89
0.67
+0.22
07
His Share of the Team
Of everything Monaco produced this season, the categories where the biggest share ran through Mohammed Salisu specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
12%
96 / 783
interceptions
6%
22 / 360
threat added by passing (xT)
5%
17.0 / 369.9
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 515 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.
Stopper centre-back81%Ball-playing centre-back66%
Why Stopper centre-back 81%: a weighted blend of ball-winning 83 (weight 40%) + defensive aggression 63 (weight 35%) + transition 92 (weight 10%) + retention 57 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
line-breaking, creativity, territory (wide vs central), crossing, through-balls
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
100
Transition ~proxy
92
Carrying
89
Ball-winning
83
Dribbling
80
Press resistance ~proxy
70
Defensive aggression
63
Build-up
62
Progression
61
Retention
57
Box threat
57
Receiving zones
57
Final-third threat
54
Line-breaking
37
Creativity
36
Territory (wide vs central)
21
Crossing
20
Through-balls ~proxy
14
09
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: 191 cm / 82 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 Ligue 1, Bundesliga, La Liga, 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.
Pablo Ramón Racing Santander · La Liga · 184 cm / 80 kg
87%
Driven by: transition (22%), ball-winning (15%), passing directness (12%). Different mechanism — Salisu more via box threat; Ramón more via creativity, territory (wide vs central).
Florian Lejeune Rayo Vallecano · La Liga · 190 cm / 89 kg
82%
Driven by: transition (23%), ball-winning (21%), territory (wide vs central) (9%). Different mechanism — Salisu more via passing directness, carrying; Lejeune more via through-balls, box threat.
Loïc Badé Leverkusen · Bundesliga · 191 cm / 89 kg
80%
Driven by: transition (25%), passing directness (16%), ball-winning (10%). Different mechanism — Salisu more via dribbling, defensive aggression; Badé more via retention.
Nayef Aguerd Marseille · 190 cm / 83 kg
79%
Driven by: transition (26%), passing directness (14%), carrying (13%). Different mechanism — Salisu more via dribbling, ball-winning; Aguerd more via creativity, retention.
Harry Maguire Man Utd · Premier League · 194 cm / 90 kg
78%
Driven by: transition (24%), carrying (15%), through-balls (14%). Different mechanism — Salisu more via ball-winning, dribbling.
Jérémy Jacquet Liverpool · Premier League · 188 cm / 77 kg
76%
Driven by: transition (22%), passing directness (15%), ball-winning (12%). Different mechanism — Salisu more via defensive aggression; Jacquet more via creativity, crossing.
10
Summary
Mohammed Salisu is a stopper centre-back / ball-playing centre-back: 93% pass completion, 3 line-breaking passes and 7.8 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 2 matches (69 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back / ball-playing centre-back — best used in a system built around that identity.
His biggest room for growth is retention — even a modest improvement there would meaningfully lift his overall stopper 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.