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, Attacking third — mostly in the attacking third (54% of his 65 passes)
50% of touches wide left · 65× in 5/5 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
67% won · 6× in 3/5 matches
Signature: Receive → Carry / Beat Man — 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: progress — 0× (insufficient confidence, hidden — not enough evidence yet); create / finish — 3× (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.
21 tracked carries (11.7/90, 7 progressive, 236m 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 21 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 26m
By zone — where the carry started → where it ended
First (21)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Only 6 dribbles attempted this season — too little volume to map a location pattern.
02
How does he create chances?
1 key passes (0.56/90), 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
06
Where does he become vulnerable?
17 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
11
attacking third (cheap)
4
middle third
2
own third (dangerous)
Vision AI 65% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.70 danger-index/90 · 0.178 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05
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 do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the left wing 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: 33% of his 9 touches there are lost (3 times).
03
Crosses & Cutbacks
2 crosses (1.12/90, 1 completed) and 4 cutbacks (2.24/90, 1 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.
Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
Team
Team context
How much of the team runs through him, and what changes without him.
Auxerre's output per match with Aristide Zossou (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
1.20
2.00
-0.80
xG for /match
1.23
1.04
+0.19
goals against /match
3.20
0.67
+2.53
points /match
0.20
3.00
-2.80
08
His Share of the Team
Of everything Auxerre produced this season, the categories where the biggest share ran through Aristide Zossou specifically — his share of the team total, not a per-90 rate.
category
share
him / team
successful take-ons
1%
4 / 271
box entries
1%
4 / 287
expected assists (xA)
1%
0.2 / 21.6
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Aristide Zossou is a wide, outside-first left carrier: 50% of dribbles in the wing lane, 66% of passes from wide — but 52% land inside. 0.0 progressive passes and 0.56 key passes /90 plus 0 goals from 0.18 xG. A carry-and-deliver threat.
Based on 5 matches (161 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a winger — 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.
