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Player reportSerie A 2026

Franck Kessie

Atalanta
Ball-winning 6 (destroyer) DM
19.2 defensive actions/90
defensive midtempo controllerpress resistancescreening
249
minutes
4 apps
154
passes
86% completed
86%
pass completion
154 passes
7
progressive passes
2.5/90
53
defensive actions
19.2/90
8
tackles + interceptions
14% tackle win
18
recoveries
6.5/90
9
line-breaking passes
3.3/90
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
drop between the centre-backs — mostly in the middle third (62% of his 154 passes)
86% completion · 154× in 4/4 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
100% won · 4× in 3/4 matches
↓
PROGRESS CENTRAL
break a line through the middle
2.5 prog/90 · 9× in 4/4 matches
↓
SCREEN / WIN BALL
protect the back four
9.4 ball-wins/90 · 26× in 4/4 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
5.8 f3-entries/90 · 16× in 4/4 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
14

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 →
38
passes / match
19.2
def actions / 90
8–69
pass range (matches)
10
clearances
Pass range = his fewest and most passes in any single match this season (8 at the low end, 69 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.

09

How dangerous are his carries?

Real ball-carries

24 tracked carries (8.7/90, 2 progressive, 173m 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.

8%17%4%4%12%25%12%4%4%4%4%
progressivelateral/short% of his 24 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 23m
By zone — where the carry started → where it ended
2Outside → Inside
20Inside → Inside
1Outside → Outside
1Inside → Outside
First (15)Second (9)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).

7
tackle duels
1
won
6
beaten · 86%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 86%
OUTSIDE 14%
Tackle-duel location — 6 inside · 1 outside
Right Wing
0 · 0%
Right Half-Space
2 · 29%
Central
3 · 43%
Left Half-Space
1 · 14%
Left Wing
1 · 14%
Vision AI beaten in 6 of 7 tackle duels (86% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 4 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

03

How does he build & move the ball?

How does he escape the first line?

5%
vertical passes
3×
2%
switches
1×
15%
carries
8×
78%
short circulation
43×
Answer: he escapes the press primarily through carrying — stepping out with the ball; he almost never carries (8×), so pressing his passing lanes beats pressing him.

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 →RWRHSCLHSLWRW1267%817%28%18%1RHS3040%1230%927%83%1C5513%722%1238%2118%109%5LHS3013%423%743%1320%6LW667%433%2FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the defensive third → the right wing in the middle third — 1 progressive passes (20% of his progression) at 0.099 xT each. He keeps it in the same lane.

His progression is inward: 60% of progressive passes move the ball toward the middle versus 0% going wider — he cuts in rather than holding width.

Only 3% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 3 line-breaking passes and 16 final-third entries, 0.8 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
4%4%13%6%1%11%12%18%12%1%1%6%9%3%
completedincomplete154 passes · any zone → any zone · own goal left, attacking →
154
passes
86%
completed
21
lost
Vision AIIn line with his 86% season completion rate.
06

How does he create chances?

3 key passes (1.08/90), 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:
67%33%
chance creation (3)assist (0)% of the selected group's key passes originating in each zone
04

Where does he become vulnerable?

21 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.

8
attacking third (cheap)
10
middle third
3
own third (dangerous)
Vision AI 38% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 2.25 danger-index/90 · 0.296 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
05

What is his passing profile?

154
passes attempted
44%
mostly sideways
60%
mostly short
Direction
Forward
58 · 38%
Sideways
67 · 44%
Backward
29 · 19%
Length (completed)
Short (<15m)
80 · 60%
Medium
49 · 37%
Long (>30m)
4 · 3%
07

Where Does He Receive?

The zones where Franck Kessie 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
23%
Primary
Central, Middle third
17%
Secondary
Left Half-Space, Middle third
14%
Third
Right Half-Space, Middle third
These are the zones where he collected the ball most.
08

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Franck Kessie 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:
12111551117182920266209
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.

4%4%13%6%1%11%12%18%12%1%1%6%9%3%
own goal left, attacking →
10

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.

3Key pass
1Cross
7Progressive
9Long ball
2Switch
By zone — where the pass started → where it landed
8Outside → Inside
85Inside → Inside
10Outside → Outside
30Inside → Outside
By direction
58Forward
29Backward
67Sideways
own goal left, attacking →
02

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 3 key passes, his busiest route is a delivery where he switches it out from the central to the left wing 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 central in the final third: 29% of his 17 touches there are lost (5 times).
—2 touches · too few—6 touches · too few14%2/14 lost—4 touches · too few—1 touch · too few11%1/9 lost9%2/22 lost9%3/34 lost12%3/26 lost—4 touches · too few—3 touches · too few—6 touches · too few29%5/17 lost—4 touches · too few—2 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

11

How & where does he defend?

53 defensive actions across the season (19.2/90). 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 →
7
tackles · 14% won
1
interceptions · 0.4/90
18
recoveries · 6.5/90
10
clearances · 3.6/90
4
blocks
41
avg action height
5
won high (att 3rd)
30
middle third
18
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 26 proactive ball-wins (9.4/90), tackle success 14%. 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.

12

Impact on the Team

Atalanta's output per match with Franck Kessie (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. 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 (4)
WITHOUT (4)
Δ
goals against /match
1.75
2.00
-0.25
points /match
0.75
1.75
-1.00
goals for /match
1.25
2.25
-1.00
xG for /match
1.21
0.00
+1.21
13

His Share of the Team

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

category
share
him / team
goals
20%
1 / 5
tackles
1%
7 / 554
successful take-ons
1%
4 / 347
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

15

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 300 defensive mids in the pool (min 180 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.

Tempo controller71%Ball-winning 668%Deep-lying playmaker62%
Why Tempo controller 71%: a weighted blend of retention 81 (weight 35%) + press resistance 86 (weight 20%) + build-up 51 (weight 30%) + progression 30 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
dribbling, receiving zones, box threat, creativity, press resistance
Strong
retention, defensive aggression, final-third threat
Average
through-balls, ball-winning, passing directness, transition, line-breaking, build-up
Weak
carrying, progression, crossing, territory (wide vs central)
Unknown
aerial ability, marking, off-ball running — not in event data
Dribbling
99
Receiving zones
97
Box threat
89
Creativity
88
Press resistance ~proxy
86
Retention
81
Defensive aggression
72
Final-third threat
72
Through-balls ~proxy
66
Ball-winning
62
Passing directness
55
Transition ~proxy
52
Line-breaking
52
Build-up
51
Carrying
37
Progression
30
Crossing
16
Territory (wide vs central)
9
16

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: 183 cm / 90 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.

Marc Bernal Barcelona · La Liga · 193 cm / 87 kg
83%
Driven by: press resistance (16%), dribbling (14%), creativity (14%). Different mechanism — Kessie more via passing directness, box threat; Bernal more via carrying, crossing.
Chema Andres Stuttgart · Bundesliga · 190 cm / 82 kg
73%
Driven by: receiving zones (19%), territory (wide vs central) (14%), press resistance (14%). Different mechanism — Kessie more via dribbling, creativity; Andres more via crossing, passing directness.
Mamadou Sangaré Brentford · Premier League · 181 cm / 72 kg
71%
Driven by: creativity (15%), dribbling (15%), press resistance (13%). Different mechanism — Sangaré more via crossing, progression.
Thomas Partey Villarreal · La Liga 25/26 · 185 cm / 77 kg
66%
Driven by: dribbling (19%), receiving zones (19%), territory (wide vs central) (16%). Different mechanism — Kessie more via defensive aggression, final-third threat; Partey more via carrying, crossing.
Frank Anguissa Napoli · 184 cm / 78 kg
62%
Driven by: box threat (26%), receiving zones (16%), press resistance (13%). Different mechanism — Kessie more via dribbling, creativity; Anguissa more via crossing, territory (wide vs central).
Equi Fernández Leverkusen · Bundesliga · 178 cm / 70 kg
60%
Driven by: receiving zones (16%), press resistance (13%), dribbling (11%). Different mechanism — Kessie more via through-balls, passing directness; Fernández more via progression, carrying.
17

Summary

Franck Kessie is a tempo controller / ball-winning 6: 86% completion, 9 line-breaks and 2.5 progressive passes /90, resisting pressure with 100% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 4 matches (249 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a tempo controller / ball-winning 6 — best used in a system built around that identity. His biggest room for growth is progression — even a modest improvement there would meaningfully lift his overall tempo controller 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.

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