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

Ismaëlo Ganiou

Lens
Ball-playing centre-back CB
8.0 progressive passes/90 · 1.0 line-breaking/90
Capability Analysis
Aerial & Box Defending24%vs 43 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /904.7848%
Ball-Winning68%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.248%
Ball recoveries /904.7189%
Tackles /901.7270%
Duels won /902.0366%
Breaking Pressure
no action recorded in any high-press match yet
Progression64%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /904.4780%
Line-breaking passes /901.177%
Threat added by passing /901.23xT64%
Pass accuracy86.4%34%
Ball-Carrying72%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /907.0570%
Carry distance /90157.48m75%
centre-backstopper centre-backbuild-upline-breaking
460
minutes
5 apps
328
passes
88% completed
88%
pass completion
328 passes
41
progressive passes
8.0/90
33
line-breaking passes
6.5/90
89
defensive actions
17.4/90
17
tackles + interceptions
82% tackle win
24
clearances
4.7/90
Overview

The player

Who he is and how he compares with his peers.

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 (52% of his 328 passes)
88% completion · 328× in 5/5 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
8.0 prog/90 · 33× in 5/5 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 16× in 5/5 matches
↓
PROGRESS
entries into the final third
4.1/90 · 21× in 5/5 matches
Signature: Receive → Break A Line → Switch Play → 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: carry out — 2× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
16

Where is he influential — vs where is he merely present?

Red fill = raw touch territory. Gold rings = zones where his influence (xT added, progression, line-breaks, key passes) outweighs how often he's actually there — one combined map instead of two separate maps to compare by eye. Red with no ring: present but not dangerous. A ring on faint red: rare touches, outsized impact.

own goal left, attacking →
66
passes / match
17.4
def actions / 90
31–97
pass range (matches)
24
clearances
Pass range = his fewest and most passes in any single match this season (31 at the low end, 97 at the high) — a measure of match-to-match involvement, not pass distance.
In possession

In possession

What he does with the ball: build-up, progression, creation, carrying and finishing.

07

How dangerous are his carries?

Real ball-carries

130 tracked carries (25.4/90, 36 progressive, 1194m 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.

5%15%8%2%2%5%22%20%10%2%2%5%2%
progressivelateral/short% of his 130 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 28m
By zone — where the carry started → where it ended
3Outside → Inside
111Inside → Inside
6Outside → Outside
10Inside → Outside
First (45)Second (35)Third (30)Fourth (20)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).

11
tackle duels
9
won
2
beaten · 18%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 55%
OUTSIDE 45%
Tackle-duel location — 6 inside · 5 outside
Right Wing
4 · 36%
Right Half-Space
4 · 36%
Central
1 · 9%
Left Half-Space
1 · 9%
Left Wing
1 · 9%
Vision AI beaten in 2 of 11 tackle duels (18% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 1 dribble of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

02

How does he build & move the ball?

How does he escape the first line?

15%
vertical passes
34×
5%
switches
11×
47%
carries
110×
33%
short circulation
77×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW3139%1226%835%11RHS12145%5417%2126%3111%132%2C10816%1721%2332%3519%2012%13LHS2114%338%819%429%6LW7100%7FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: central areas in the middle third → central areas in the final third — 3 progressive passes (19% of his progression) at 0.101 xT each. He keeps it in the same lane.

Inward (25%) and outward (19%) progression are balanced — no strong lane bias.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 5 line-breaking passes and 21 final-third entries, 3.9 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
6%15%15%6%2%1%4%17%17%9%0%2%2%2%2%0%
completedincomplete328 passes · any zone → any zone · own goal left, attacking →
328
passes
88%
completed
40
lost
Vision AIIn line with his 88% season completion rate.
04

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

41
progressive · 8.0/90
21
final-third entries · 4.1/90
1
box entries · 0.20/90
26
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
12

How does he create chances?

1 key passes (0.20/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
09

Where does he become vulnerable?

40 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

2
attacking third (cheap)
25
middle third
13
own third (dangerous)
Vision AI 5% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.99 danger-index/90 · 0.509 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08

What is his passing profile?

328
passes attempted
49%
mostly forward
55%
mostly medium
Direction
Forward
161 · 49%
Sideways
119 · 36%
Backward
48 · 15%
Length (completed)
Short (<15m)
109 · 38%
Medium
159 · 55%
Long (>30m)
20 · 7%
10

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.320.310.290.240.240.18
own goal left, attacking →
Highest-value routes (xT)
0.32
Right Wing Mid third → Right Half-Space Att third
1 passes
0.31
Right Half-Space Mid third → Left Wing Att third
2 passes
0.29
Right Half-Space Mid third → Right Wing Mid third
6 passes
0.24
Central Def third → Right Wing Att third
1 passes
0.24
Right Half-Space Mid third → Left Half-Space Att third
1 passes
0.18
Central Mid third → Right Wing Att third
4 passes
05

Where Does He Receive?

The zones where Ismaëlo Ganiou gets on the ball — his top three ball-collection areas highlighted (gold = primary). Reception is proxied by where his on-ball actions begin (no explicit receiver is recorded).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
22%
Primary
Central, Middle third
20%
Secondary
Right Half-Space, Middle third
18%
Third
Right Half-Space, Defensive third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Ismaëlo Ganiou actually gets on the ball. Hover any zone for its breakdown by action type, its share of all touches, and the exact coordinate range it covers.

Filter:
7765112565728232148511982
own goal left, attacking → · brighter + higher number = more touches

Passes only — completed vs incomplete, by zone

Same zone grid, restricted to passes so completed/incomplete and match filters actually mean something — a shot or a dribble has no "completed" in the pass sense.

6%15%15%6%2%1%4%17%17%9%0%2%2%2%2%0%
own goal left, attacking →
11

Every Pass This Season — completed vs incomplete

Every pass this season, plotted individually — green = completed, grey (dashed) = incomplete, gold = key pass. Filter by outcome or isolate one match below.

1Key pass
3Cross
41Progressive
33Long ball
16Switch
By zone — where the pass started → where it landed
19Outside → Inside
158Inside → Inside
19Outside → Outside
92Inside → Outside
By direction
161Forward
48Backward
119Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the right wing toward the right hs, advancing it forward in the middle third — 1 passes worth 0.32 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the right 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 right wing in the defensive third: 32% of his 22 touches there are lost (7 times).
32%7/22 lost5%3/58 lost2%1/48 lost7%1/14 lost—5 touches · too few31%5/16 lost5%3/66 lost19%14/74 lost20%2/10 lost—3 touches · too few—7 touches · too few—3 touches · too few—1 touch · too few—0 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

89 defensive actions across the season (17.4/90). 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 →
11
tackles · 82% won
6
interceptions · 1.2/90
20
recoveries · 3.9/90
24
clearances · 4.7/90
4
blocks
28
avg action height
5
won high (att 3rd)
27
middle third
57
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 37 proactive ball-wins (7.2/90), tackle success 82%. 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.

14

Impact on the Team

Lens's output per match with Ismaëlo Ganiou (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. 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 (5)
WITHOUT (3)
Δ
goals against /match
1.40
1.67
-0.27
points /match
1.80
1.33
+0.47
goals for /match
2.20
1.67
+0.53
xG for /match
2.01
0.00
+2.01
15

His Share of the Team

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

category
share
him / team
clearances
18%
139 / 752
final-third entries
12%
150 / 1215
interceptions
11%
35 / 312
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

17

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 517 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-back77%Ball-playing centre-back57%
Why Stopper centre-back 77%: a weighted blend of ball-winning 74 (weight 40%) + defensive aggression 68 (weight 35%) + transition 83 (weight 10%) + retention 45 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
box threat
Strong
receiving zones, transition, creativity, progression, dribbling, carrying, line-breaking, passing directness, final-third threat, ball-winning
Average
territory (wide vs central), defensive aggression, press resistance, crossing, retention, through-balls, build-up
Weak
—
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
85
Receiving zones
83
Transition ~proxy
83
Creativity
82
Progression
81
Dribbling
80
Carrying
80
Line-breaking
79
Passing directness
79
Final-third threat
76
Ball-winning
74
Territory (wide vs central)
70
Defensive aggression
68
Press resistance ~proxy
64
Crossing
57
Retention
45
Through-balls ~proxy
42
Build-up
41
18

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 / 80 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.

Nico Schlotterbeck Borussia Dortmund · Bundesliga · 191 cm / 81 kg
90%
Driven by: transition (13%), box threat (11%), progression (10%). Different mechanism — Ganiou more via territory (wide vs central); Schlotterbeck more via through-balls, final-third threat.
Oumar Solet Udinese · Serie A · 192 cm / 88 kg
84%
Driven by: creativity (11%), carrying (10%), box threat (10%). Different mechanism — Ganiou more via passing directness, territory (wide vs central); Solet more via through-balls, crossing.
Giorgio Scalvini Atalanta · Serie A · 194 cm / 76 kg
84%
Driven by: box threat (12%), receiving zones (11%), ball-winning (10%). Different mechanism — Ganiou more via passing directness; Scalvini more via through-balls, crossing.
Marc Guéhi Man City · Premier League · 183 cm / 80 kg
83%
Driven by: creativity (14%), transition (14%), box threat (11%). Different mechanism — Guéhi more via retention, through-balls.
Jacobo Ramón Como · Serie A · 195 cm / 80 kg
82%
Driven by: transition (15%), box threat (12%), progression (11%). Different mechanism — Ganiou more via territory (wide vs central), crossing; Ramón more via retention, build-up.
Diogo Leite Lazio · Serie A · 188 cm / 70 kg
82%
Driven by: creativity (12%), transition (10%), progression (9%). Different mechanism — Ganiou more via retention, carrying; Leite more via through-balls.
19

Summary

Ismaëlo Ganiou is a stopper centre-back / ball-playing centre-back: 88% pass completion, 33 line-breaking passes and 8.0 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 5 matches (460 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.

Vision AI · building report