Thin sample this season. Jefferson Lerma has played 4 matches (173 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
drop between the centre-backs — mostly in the middle third (48% of his 82 passes)
78% completion · 82× in 4/4 matches
↓
PROGRESS CENTRAL
break a line through the middle
6.8 prog/90 · 15× in 3/4 matches
↓
SCREEN / WIN BALL
protect the back four
8.3 ball-wins/90 · 16× in 4/4 matches
Signature: Receive → Progress Central → Screen / Win Ball — the only steps proven repeatable this season (3 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: escape pressure — 1× (low confidence, shown as a number only, no tactical conclusion drawn); recycle / progress — 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.
0 key passes (0.00/90), 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 (0)assist (0)% of the selected group's key passes originating in each zone
03
Where does he become vulnerable?
18 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.
3
attacking third (cheap)
8
middle third
7
own third (dangerous)
Vision AI 17% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.55 danger-index/90 · 0.486 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
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 switches it out from the central to the right hs in the final third — 1 passes worth 0.32 xT.
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: 30% of his 20 touches there are lost (6 times).
54 defensive actions across the season (28.1/90). 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 →
5
tackles · 60% won
1
interceptions · 0.5/90
10
recoveries · 5.2/90
14
clearances · 7.3/90
0
blocks
36
avg action height
7
won high (att 3rd)
18
middle third
29
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 16 proactive ball-wins (8.3/90), tackle success 60%. He defends mostly around the middle third.
Team
Team context
How much of the team runs through him, and what changes without him.
Crystal Palace's output per match with Jefferson Lerma (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
2.25
2.50
-0.25
points /match
1.00
0.75
+0.25
goals for /match
1.25
1.00
+0.25
xG for /match
0.97
0.65
+0.32
07
His Share of the Team
Of everything Crystal Palace produced this season, the categories where the biggest share ran through Jefferson Lerma specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
20%
1 / 5
interceptions
7%
26 / 394
ball recoveries
6%
112 / 1913
Recruitment
Style and verdict
Style profile, closest comparables, and the summary.
Not raw event counts — football style scores: weighted models scored 0–100 against the 258 defensive 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.
aerial ability, marking, off-ball running — not in event data
Passing directness
95
Box threat
85
Through-balls ~proxy
81
Line-breaking
70
Final-third threat
62
Crossing
62
Territory (wide vs central)
60
Creativity
59
Progression
59
Build-up
57
Transition ~proxy
53
Receiving zones
51
Defensive aggression
37
Ball-winning
35
Press resistance ~proxy
27
Dribbling
25
Retention
23
Carrying
15
09
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: 179 cm / 84 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 Premier League, Bundesliga, La Liga, Ligue 1 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.
Nahuel Estévez Parma Calcio 1913 · Serie A 25/26 · 181 cm / 77 kg
82%
Driven by: press resistance (18%), carrying (14%), passing directness (13%). Different mechanism — Lerma more via box threat, press resistance.
Joris Chotard Brest · Ligue 1 · 179 cm / 70 kg
81%
Driven by: press resistance (19%), passing directness (17%), dribbling (14%). Different mechanism — Lerma more via box threat.
Martin Frese Hellas Verona · Serie A 25/26 · 179 cm / 75 kg
77%
Driven by: press resistance (19%), carrying (15%), retention (14%). Different mechanism — Lerma more via receiving zones, box threat; Frese more via territory (wide vs central), ball-winning.
Stefano Sabelli Genoa · Serie A · 176 cm / 70 kg
70%
Driven by: press resistance (16%), retention (15%), dribbling (13%). Different mechanism — Lerma more via box threat, creativity; Sabelli more via territory (wide vs central), line-breaking.
Janik Haberer Union Berlin · Bundesliga · 186 cm / 78 kg
65%
Driven by: carrying (16%), through-balls (13%), retention (12%). Different mechanism — Lerma more via passing directness, transition; Haberer more via line-breaking, territory (wide vs central).
Matthieu Udol Lens · Ligue 1 · 178 cm / 79 kg
62%
Driven by: box threat (22%), through-balls (11%), press resistance (11%). Different mechanism — Lerma more via passing directness, build-up; Udol more via carrying, territory (wide vs central).
10
Summary
Jefferson Lerma is a deep-lying playmaker: 78% completion, 15 line-breaks and 6.8 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 (173 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a deep-lying playmaker — 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 deep-lying playmaker 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.