العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportLigue 1 2026

Yann Gboho

Toulouse
Advanced playmaker AM
2.07 key passes/90 · 0.62 xT/90
attacking midhalf-space creatorcreationbetween the lines
174
minutes
2 apps
4
key passes
2.07/90
3
progressive passes
1.6/90
4
box entries
2.07/90
6
final-3rd entries
3.1/90
0
goals
0.18 xG
9
dribbles
33% won
83%
pass completion
54 passes
Overview

The player

Who he is and how he compares with his peers.

Thin sample this season. Yann Gboho has played 2 matches (174 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
Left Half-Space, Attacking third — between the lines — mostly in the attacking third (52% of his 54 passes)
83% completion · 54× in 2/2 matches
↓
TURN / BEAT MAN
face forward in the pocket
33% won · 9× in 2/2 matches
↓
CREATE
through-ball, cut-back, key pass
2.07/90 · 4× in 2/2 matches
Signature: Receive → Turn / Beat Man → Create — 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: 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.

03

How dangerous are his carries?

Real ball-carries

27 tracked carries (14.0/90, 10 progressive, 346m 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.

7%4%7%4%4%22%11%41%
progressivelateral/short% of his 27 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 43m
By zone — where the carry started → where it ended
5Outside → Inside
11Inside → Inside
7Outside → Outside
4Inside → Outside
First (14)Second (13)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →

Dribbles (1v1s)

Does he carry to create or drift wide? Dribbles by channel. Season rate: 4.66 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 44%
OUTSIDE 56%
Dribble location — 4 inside · 5 outside
Right Wing
1 · 11%
Right Half-Space
2 · 22%
Central
1 · 11%
Left Half-Space
1 · 11%
Left Wing
4 · 44%
Vision AI His carries cluster wide — a drifting playmaker.
02

How does he create chances?

4 key passes (2.07/90), 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:
25%50%25%
chance creation (4)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 (4)from the right (0)of 4 key passes landing in the final thirdattacking ↑ toward goal
07

Where does he become vulnerable?

15 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.

9
attacking third (cheap)
5
middle third
1
own third (dangerous)
Vision AI 60% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.51 danger-index/90 · 0.195 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

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 4 key passes, his busiest route is a delivery where he plays straight through the left hs in the final third — 2 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: 25% of his 12 touches there are lost (3 times).
—0 touches · too few—0 touches · too few—1 touch · too few—1 touch · too few—0 touches · too few—4 touches · too few—3 touches · too few—5 touches · too few—7 touches · too few—5 touches · too few—3 touches · too few—1 touch · too few—3 touches · too few25%3/12 lost11%1/9 lostRWRHSCLHSLWDEFMIDATT
05

Does he carry inside or outside — his ball-carries across the pitch

Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.

own goal left, attacking →
Across 27 ball-carries, his dominant tendency is that he carries through central areas (41%). He carries from outside into the middle 5 times and out toward the touchline 4 — balanced between cutting in and holding width.
04

What happens right after he carries the ball

Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.

Shot
1 · 4%
Progressive / key pass
4 · 15%
Simple pass
16 · 59%
No clean link
6 · 22%
Of 27 carries, 4% flow straight into a shot of his own, 15% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 22% have no clean link to a next touch of his own close to where the carry ended.
Out of possession

Out of possession

Where and how he defends and presses.

08

How & where does he defend?

25 defensive actions across the season (12.9/90). 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 →
0
tackles · 0% won
2
interceptions · 1.0/90
10
recoveries · 5.2/90
2
clearances · 1.0/90
0
blocks
41
avg action height
5
won high (att 3rd)
9
middle third
11
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 12 proactive ball-wins (6.2/90), tackle success 0%. 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.

7
attacking-half actions · 3.62/90
Team

Team context

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

09

Impact on the Team

Toulouse's output per match with Yann Gboho (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. A proper on-off model needs many more minutes.

WITH (2)
WITHOUT (6)
Δ
goals for /match
1.00
1.67
-0.67
xG for /match
1.16
0.00
+1.16
goals against /match
2.00
1.17
+0.83
points /match
0.50
1.50
-1.00
10

His Share of the Team

Of everything Toulouse produced this season, the categories where the biggest share ran through Yann Gboho specifically — his share of the team total, not a per-90 rate.

category
share
him / team
successful take-ons
41%
80 / 193
expected goals (xG)
24%
5.6 / 23.7
expected assists (xA)
23%
4.3 / 18.6
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

11

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 247 attacking 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.

Half-space creator70%Advanced playmaker (8)62%
Why Half-space creator 70%: a weighted blend of creativity 70 (weight 40%) + final-third threat 63 (weight 30%) + dribbling 93 (weight 15%) + box threat 44 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying, dribbling, transition
Strong
press resistance, retention, creativity
Average
passing directness, receiving zones, final-third threat, crossing, progression, ball-winning, box threat, defensive aggression
Weak
line-breaking, through-balls, build-up, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
95
Dribbling
93
Transition ~proxy
85
Press resistance ~proxy
81
Retention
74
Creativity
70
Passing directness
67
Receiving zones
64
Final-third threat
63
Crossing
52
Progression
51
Ball-winning
46
Box threat
44
Defensive aggression
43
Line-breaking
40
Through-balls ~proxy
40
Build-up
34
Territory (wide vs central)
21
12

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: 178 cm / 63 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.

Azzedine Ounahi Girona · La Liga 25/26 · 182 cm / 65 kg
74%
Driven by: transition (16%), carrying (16%), dribbling (14%). Different mechanism — Ounahi more via line-breaking, receiving zones.
Brajan Gruda RBL · Bundesliga · 178 cm / 70 kg
73%
Driven by: carrying (23%), transition (22%), dribbling (20%). Different mechanism — Gboho more via passing directness, retention; Gruda more via territory (wide vs central), box threat.
Sergio Canales Racing Santander · La Liga · 175 cm / 66 kg
70%
Driven by: transition (21%), carrying (17%), dribbling (15%). Different mechanism — Canales more via build-up, box threat.
Romain Faivre Auxerre · 180 cm / 75 kg
65%
Driven by: transition (25%), carrying (18%), dribbling (16%). Different mechanism — Gboho more via retention, defensive aggression; Faivre more via line-breaking, through-balls.
Junior Messias Genoa · Serie A · 174 cm / 70 kg
62%
Driven by: transition (29%), dribbling (22%), carrying (22%). Different mechanism — Gboho more via retention, creativity; Messias more via ball-winning, passing directness.
Aimar Oroz Osasuna · La Liga · 177 cm / 72 kg
61%
Driven by: transition (29%), carrying (20%), press resistance (10%). Different mechanism — Gboho more via dribbling, box threat; Oroz more via build-up, territory (wide vs central).
13

Summary

Yann Gboho is a half-space creator / advanced playmaker (8): 2.07 key passes /90, 1.6 progressive passes, 0 goals from 0.18 xG. A between-the-lines creator. [Off-ball movement into pockets needs tracking.]

Based on 2 matches (174 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator / advanced playmaker (8) — 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 half-space creator 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.

Vision AI · building report