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 — between the lines — mostly in the middle third (46% of his 65 passes)
74% completion · 65× in 5/5 matches
↓
TURN / BEAT MAN
face forward in the pocket
60% won · 5× in 2/5 matches
↓
FINISH
arrive and shoot from central zones
0 goals · 0.22 xG · 3× in 3/5 matches
Signature: Receive → Turn / Beat Man → Finish — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: create — 1× (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.
24 tracked carries (14.0/90, 5 progressive, 257m 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 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 33m
By zone — where the carry started → where it ended
First (19)Second (5)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 5 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
1 key passes (0.58/90), 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 (1)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (1)from the right (0)of 1 key passes landing in the final thirdattacking ↑ toward goal
05
Where does he become vulnerable?
19 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
11
attacking third (cheap)
7
middle third
1
own third (dangerous)
Vision AI 58% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.41 danger-index/90 · 0.217 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 left wing, advancing it forward in the middle third — 1 passes worth 0.24 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the left hs toward the central in the final 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: 50% of his 12 touches there are lost (6 times).
25 defensive actions across the season (14.6/90). 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 →
2
tackles · 100% won
0
interceptions · 0.0/90
6
recoveries · 3.5/90
3
clearances · 1.8/90
1
blocks
46
avg action height
7
won high (att 3rd)
8
middle third
10
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 8 proactive ball-wins (4.7/90), tackle success 100%. He defends high, stepping out to intercept — suits a high line.
Defensive work in the attacking half
Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.
11
attacking-half actions · 6.43/90
Team
Team context
How much of the team runs through him, and what changes without him.
Lorient's output per match with Souleymane Faye (5 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. A proper on-off model needs many more minutes.
WITH (5)
WITHOUT (3)
Δ
goals for /match
0.60
1.33
-0.73
xG for /match
1.07
0.77
+0.29
goals against /match
0.80
0.67
+0.13
points /match
1.00
2.33
-1.33
08
His Share of the Team
Of everything Lorient produced this season, the categories where the biggest share ran through Souleymane Faye specifically — his share of the team total, not a per-90 rate.
category
share
him / team
successful take-ons
2%
3 / 190
shots
1%
3 / 241
final-third entries
1%
9 / 961
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Souleymane Faye is an attacking mid: 0.58 key passes /90, 4.7 progressive passes, 0 goals from 0.22 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]
Based on 5 matches (154 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an attacking mid — best used in a system built around that identity.
✨ 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.
