Thin sample this season. Mohamed Kaba has played 4 matches (132 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
Right Wing, Middle third — mostly in the middle third (71% of his 48 passes)
81% completion · 48× in 3/3 matches
↓
PROGRESS
drive or pass into the final third
2.0 prog/90 · 3× in 2/3 matches
Signature: Receive → Progress — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: arrive — 0× (insufficient confidence, hidden — not enough evidence yet); create / finish — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — 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.
14 tracked carries (9.5/90, 4 progressive, 130m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.
progressivelateral/short% of his 14 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 23m
By zone — where the carry started → where it ended
First (14)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 1 dribble attempted this season — too little volume to map a location pattern.
02
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
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 →
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 right wing in the middle third: 33% of his 12 touches there are lost (4 times).
24 defensive actions across the season (16.4/90). 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
0
interceptions · 0.0/90
9
recoveries · 6.1/90
0
clearances · 0.0/90
2
blocks
46
avg action height
4
won high (att 3rd)
16
middle third
4
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 10 proactive ball-wins (6.8/90), tackle success 0%. He defends high, stepping out to intercept — suits a high line.
Team
Team context
How much of the team runs through him, and what changes without him.
Lecce's output per match with Mohamed Kaba (4 matches) versus without him (4 matches). Insufficient evidence — the without-sample is only 4 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (4)
WITHOUT (4)
Δ
goals for /match
1.50
0.75
+0.75
xG for /match
1.31
0.29
+1.02
goals against /match
1.75
1.75
+0.00
points /match
1.50
0.75
+0.75
07
His Share of the Team
Of everything Lecce produced this season, the categories where the biggest share ran through Mohamed Kaba specifically — his share of the team total, not a per-90 rate.
category
share
him / team
zone-14 entries
9%
12 / 131
successful take-ons
8%
16 / 208
expected assists (xA)
7%
2.0 / 27.9
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 382 central mids 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.
Why Transition runner 75%: a weighted blend of transition 63 (weight 45%) + defensive aggression 91 (weight 30%) + box threat 51 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Passing directness
98
Defensive aggression
91
Ball-winning
83
Dribbling
70
Transition ~proxy
63
Press resistance ~proxy
55
Creativity
53
Box threat
51
Crossing
44
Retention
42
Territory (wide vs central)
38
Receiving zones
38
Build-up
33
Carrying
33
Final-third threat
25
Line-breaking
22
Progression
21
Through-balls ~proxy
21
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: 185 cm / 71 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.
Gvidas Gineitis Torino · 187 cm / 79 kg
81%
Driven by: defensive aggression (25%), ball-winning (15%), progression (12%). Different mechanism — Kaba more via passing directness, transition; Gineitis more via final-third threat.
Idrissa Touré Pisa · 188 cm / 76 kg
75%
Driven by: defensive aggression (23%), passing directness (15%), build-up (11%). Different mechanism — Kaba more via retention, ball-winning; Touré more via territory (wide vs central).
Pierrick Capelle Angers · Ligue 1 25/26 · 181 cm / 73 kg
74%
Driven by: passing directness (24%), ball-winning (23%), defensive aggression (18%). Different mechanism — Kaba more via defensive aggression, dribbling; Capelle more via line-breaking, territory (wide vs central).
Joelinton Newcastle · Premier League · 186 cm / 81 kg
73%
Driven by: ball-winning (18%), defensive aggression (16%), progression (15%). Different mechanism — Kaba more via passing directness, defensive aggression; Joelinton more via receiving zones, retention.
Antoine Bernede Hellas Verona 25/26 · 178 cm / 73 kg
72%
Driven by: defensive aggression (31%), ball-winning (23%), passing directness (23%). Different mechanism — Bernede more via line-breaking, progression.
Mikel Jauregizar Athletic Club · La Liga · 177 cm / 74 kg
68%
Driven by: defensive aggression (24%), ball-winning (23%), passing directness (17%). Different mechanism — Kaba more via dribbling, press resistance; Jauregizar more via final-third threat.
10
Summary
Mohamed Kaba is a transition runner / box-to-box runner: 2.0 progressive passes, 0.00 key passes /90, 0 box entries, 0 goals from 0.14 xG. A box-to-box contributor across every phase.
Based on 4 matches (132 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner / box-to-box runner — best used in a system built around that identity.
His biggest room for growth is box threat — even a modest improvement there would meaningfully lift his overall transition runner 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.