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Player reportSerie A 2026

Jamil Siebert

Lecce
Ball-playing centre-back CB
5.1 progressive passes/90 · 0.6 line-breaking/90
Capability Analysis
Aerial & Box Defending46%vs 45 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /906.9191%
Ball-Winning35%vs 45 centre-backs
"How actively does he win the ball back?"
Interceptions /900.9529%
Ball recoveries /902.334%
Tackles /901.6460%
Duels won /901.8347%
Breaking Pressure69%vs 36 centre-backs
"Can he retain and progress the ball while his own team is being pressed?"
Retention under pressure79.0%19%
Progressive passes while pressed2297%
Line-breaking passes while pressed386%
Progressive carries while pressed351%
Threat added while pressed (xT)3.99xT92%
Progression34%vs 45 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /903.3660%
Line-breaking passes /900.6142%
Threat added by passing /900.77xT27%
Pass accuracy77.86%9%
Ball-Carrying12%vs 45 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /902.116%
Carry distance /9051.89m9%
centre-backstopper centre-backbuild-upline-breaking
563
minutes
8 apps
213
passes
81% completed
81%
pass completion
213 passes
32
progressive passes
5.1/90
31
line-breaking passes
5.0/90
127
defensive actions
20.3/90
25
tackles + interceptions
62% tackle win
36
clearances
5.8/90
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 (56% of his 213 passes)
81% completion · 213× in 8/8 matches
↓
CARRY OUT
step into midfield to commit a presser
8 carries · 16× in 4/8 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
5.1 prog/90 · 31× in 7/8 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 6× in 3/8 matches
↓
PROGRESS
entries into the final third
1.9/90 · 12× in 5/8 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
17

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 →
27
passes / match
20.3
def actions / 90
3–36
pass range (matches)
36
clearances
Pass range = his fewest and most passes in any single match this season (3 at the low end, 36 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

37 tracked carries (5.9/90, 7 progressive, 313m 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.

3%8%27%3%3%19%5%5%3%11%11%3%
progressivelateral/short% of his 37 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 28m
By zone — where the carry started → where it ended
2Outside → Inside
18Inside → Inside
13Outside → Outside
4Inside → Outside
First (15)Second (11)Third (11)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).

16
tackle duels
10
won
6
beaten · 38%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 75%
OUTSIDE 25%
Tackle-duel location — 12 inside · 4 outside
Right Wing
1 · 6%
Right Half-Space
10 · 62%
Central
2 · 12%
Left Half-Space
0 · 0%
Left Wing
3 · 19%
Vision AI beaten in 6 of 16 tackle duels (38% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

For a centre-back the carry is a build-up weapon — does he step out through the middle, or keep it simple? Every carry classified by channel. Season rate: 1.28 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 50%
OUTSIDE 50%
Dribble location — 4 inside · 4 outside
Right Wing
3 · 38%
Right Half-Space
2 · 25%
Central
2 · 25%
Left Half-Space
0 · 0%
Left Wing
1 · 12%
Vision AI 50% of his carries are central — he steps out through the middle to draw a presser before releasing.
04

How does he build & move the ball?

How does he escape the first line?

20%
vertical passes
25×
3%
switches
4×
27%
carries
33×
49%
short circulation
60×
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 →RWRHSCLHSLWRW2748%1333%915%44%1RHS5223%1215%848%2513%7C474%219%957%2719%9LHS323%16%231%1025%834%11LW1414%221%364%9FROM
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 middle third → the right wing in the final third — 4 progressive passes (15% of his progression) at 0.103 xT each. He keeps it in the same lane.

His progression is inward: 38% of progressive passes move the ball toward the middle versus 8% going wider — he cuts in rather than holding width.

Only 7% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 4 line-breaking passes and 12 final-third entries, 4.4 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%10%11%13%3%1%5%9%12%7%1%1%9%8%5%
completedincomplete213 passes · any zone → any zone · own goal left, attacking →
213
passes
81%
completed
41
lost
Vision AIIn line with his 81% season completion rate.
03

How does he progress play?

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

32
progressive · 5.1/90
12
final-third entries · 1.9/90
2
box entries · 0.32/90
15
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?

3 key passes (0.48/90), 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 (3)assist (0)% of the selected group's key passes originating in each zone
05

Where does he become vulnerable?

47 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)
24
middle third
15
own third (dangerous)
Vision AI 17% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 3.34 danger-index/90 · 0.445 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
06

What is his passing profile?

213
passes attempted
54%
mostly forward
54%
mostly medium
Direction
Forward
116 · 54%
Sideways
70 · 33%
Backward
27 · 13%
Length (completed)
Short (<15m)
66 · 38%
Medium
93 · 54%
Long (>30m)
13 · 8%
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.

0.480.450.290.290.210.20
own goal left, attacking →
Highest-value routes (xT)
0.48
Right Wing Mid third → Right Wing Att third
4 passes
0.45
Left Wing Def third → Left Half-Space Att third
1 passes
0.29
Right Wing Att third → Central Att third
1 passes · 1 to a shot
0.29
Right Half-Space Mid third → Right Wing Att third
1 passes
0.21
Right Wing Def third → Right Wing Mid third
3 passes
0.20
Left Wing Def third → Left Wing Mid third
3 passes
07

Where Does He Receive?

The zones where Jamil Siebert 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
14%
Primary
Central, Middle third
14%
Secondary
Right Half-Space, Middle third
14%
Third
Right Wing, 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 Jamil Siebert 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:
220181111020271623822252883
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%10%11%13%3%1%5%9%12%7%1%1%9%8%5%
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.

3Key pass
3Cross
1Cutback
32Progressive
31Long ball
6Switch
By zone — where the pass started → where it landed
19Outside → Inside
105Inside → Inside
22Outside → Outside
26Inside → Outside
By direction
116Forward
27Backward
70Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing, advancing it forward in the middle third — 4 passes worth 0.48 xT.
Where do his chances come from?
Of 3 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 left wing in the defensive third: 36% of his 11 touches there are lost (4 times).
33%3/9 lost19%5/26 lost12%3/24 lost0%0/12 lost36%4/11 lost32%9/28 lost3%1/29 lost17%5/30 lost17%4/24 lost22%2/9 lost—4 touches · too few—5 touches · too few—2 touches · too few—0 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

127 defensive actions across the season (20.3/90). 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 →
16
tackles · 62% won
9
interceptions · 1.4/90
24
recoveries · 3.8/90
36
clearances · 5.8/90
4
blocks
33
avg action height
10
won high (att 3rd)
52
middle third
65
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 49 proactive ball-wins (7.8/90), tackle success 62%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Jamil Siebert still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~2-4 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 2.9, 2m)
78%
3.4
3.4
0.65
Mid press (PPDA 3.5, 2m)
73%
3.3
5.2
0.56
Low press (PPDA 5.0, 4m)
85%
7.0
5.4
1.21
Team

Team context

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

15

Impact on the Team

Insufficient sample: Jamil Siebert played nearly every Lecce match in the loaded data, so there is no meaningful "without him" comparison yet. This section fills in as more matches (and the rest of the season) are scraped.

16

His Share of the Team

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

category
share
him / team
clearances
14%
181 / 1320
goals
11%
1 / 9
expected assists (xA)
9%
2.5 / 28.8
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 515 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-back33%Ball-playing centre-back24%
Why Stopper centre-back 33%: a weighted blend of defensive aggression 50 (weight 35%) + ball-winning 39 (weight 40%) + transition 29 (weight 10%) + retention 19 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
passing directness
Average
dribbling, territory (wide vs central), creativity, defensive aggression, line-breaking, press resistance
Weak
progression, through-balls, box threat, ball-winning, crossing, final-third threat, receiving zones, build-up, transition, carrying, retention
Unknown
aerial ability, marking, off-ball running — not in event data
Passing directness
71
Dribbling
64
Territory (wide vs central)
57
Creativity
56
Defensive aggression
50
Line-breaking
46
Press resistance ~proxy
42
Progression
40
Through-balls ~proxy
40
Box threat
39
Ball-winning
39
Crossing
38
Final-third threat
31
Receiving zones
31
Build-up
30
Transition ~proxy
29
Carrying
22
Retention
19
19

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: 193 cm / 86 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.

Abdel Abqar Getafe · La Liga · 188 cm / 80 kg
76%
Driven by: retention (19%), carrying (16%), transition (12%). Different mechanism — Siebert more via dribbling, progression; Abqar more via ball-winning.
Ethan Pinnock Coventry · Premier League · 194 cm / 79 kg
76%
Driven by: transition (18%), carrying (18%), retention (13%). Different mechanism — Siebert more via dribbling, progression.
Christ Makosso Auxerre · Ligue 1 · 192 cm / 85 kg
76%
Driven by: build-up (16%), retention (14%), carrying (14%). Different mechanism — Siebert more via crossing, box threat; Makosso more via through-balls, line-breaking.
Arthur Chaves Augsburg · Bundesliga 25/26 · 188 cm / 80 kg
73%
Driven by: carrying (21%), transition (19%), retention (13%). Different mechanism — Siebert more via progression, line-breaking; Chaves more via box threat.
Jair Cunha Nottingham Forest · Premier League · 198 cm / 87 kg
71%
Driven by: carrying (12%), transition (11%), receiving zones (11%). Different mechanism — Siebert more via creativity, through-balls; Cunha more via territory (wide vs central).
Radu Dragusin Fiorentina · 191 cm / 85 kg
68%
Driven by: final-third threat (13%), carrying (11%), crossing (11%). Different mechanism — Siebert more via through-balls, crossing; Dragusin more via line-breaking, receiving zones.
20

Summary

Jamil Siebert is a stopper centre-back: 81% pass completion, 31 line-breaking passes and 5.1 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 8 matches (563 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper 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.

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