Thin sample this season. Lucas Høgsberg has played 4 matches (215 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
in the first line of build-up — mostly in the defensive third (47% of his 135 passes)
86% completion · 135× in 4/4 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
7.1 prog/90 · 20× in 3/4 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 5× in 2/4 matches
↓
PROGRESS
entries into the final third
5.4/90 · 13× in 3/4 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.
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 →
34
passes / match
11.3
def actions / 90
4–60
pass range (matches)
9
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 60 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.
40 tracked carries (16.7/90, 8 progressive, 295m 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.
progressivelateral/short% of his 40 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 6m, longest 19m
By zone — where the carry started → where it ended
First (18)Second (13)Third (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).
3
tackle duels
3
won
0
beaten · 0%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 33%
OUTSIDE 67%
Tackle-duel location — 1 inside · 2 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 33%
Left Half-Space
0 · 0%
Left Wing
2 · 67%
Vision AI beaten in 0 of 3 tackle duels (0% 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.
03
How does he progress play?
How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.
17
progressive · 7.1/90
13
final-third entries · 5.4/90
1
box entries · 0.42/90
19
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.
10
How does he create chances?
2 key passes (0.84/90), 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 (2)assist (0)% of the selected group's key passes originating in each zone
07
Where does he become vulnerable?
20 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)
8
middle third
10
own third (dangerous)
Vision AI 10% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.61 danger-index/90 · 0.551 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08
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.
own goal left, attacking →
Highest-value routes (xT)
0.30
Left Wing Mid third → Left Wing Att third
2 passes
0.28
Left Wing Mid third → Left Wing Mid third
4 passes
0.13
Left Wing Mid third → Left Half-Space Mid third
1 passes
0.09
Left Half-Space Def third → Left Half-Space Mid third
2 passes
0.09
Left Half-Space Def third → Left Wing Mid third
2 passes
0.08
Left Half-Space Mid third → Left Wing Mid third
1 passes
04
Where Does He Receive?
The zones where Lucas Høgsberg 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).
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
21%
Primary
Left Wing, Middle third
18%
Secondary
Left Half-Space, Defensive third
15%
Third
Left Wing, Defensive third
These are the zones where he collected the ball most.
05
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Lucas Høgsberg 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:
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.
own goal left, attacking →
09
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.
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 left wing, advancing it forward in the middle third — 2 passes worth 0.30 xT.
Where do his chances come from?
Of 2 key passes, his busiest route is a delivery where he switches it out from the central to the right hs, advancing it forward in the defensive 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: 40% of his 20 touches there are lost (8 times).
27 defensive actions across the season (11.3/90). 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 →
3
tackles · 100% won
1
interceptions · 0.4/90
5
recoveries · 2.1/90
9
clearances · 3.8/90
2
blocks
24
avg action height
0
won high (att 3rd)
6
middle third
21
own third
Vision AI A deep-defending defender. He wins the ball mainly by clearing and blocking — a reactive, protect-the-box profile. 9 proactive ball-wins (3.8/90), tackle success 100%. 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.
Strasbourg's output per match with Lucas Høgsberg (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
2.25
+0.00
points /match
1.50
0.25
+1.25
goals for /match
2.25
0.75
+1.50
xG for /match
1.44
1.01
+0.43
13
His Share of the Team
Of everything Strasbourg produced this season, the categories where the biggest share ran through Lucas Høgsberg specifically — his share of the team total, not a per-90 rate.
category
share
him / team
clearances
10%
74 / 726
threat added by passing (xT)
9%
29.2 / 314.2
final-third entries
8%
94 / 1221
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 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.
Ball-playing centre-back74%Stopper centre-back34%
Why Ball-playing centre-back 74%: a weighted blend of build-up 76 (weight 30%) + retention 75 (weight 30%) + progression 66 (weight 25%) + press resistance 48 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Build-up
76
Retention
75
Line-breaking
73
Progression
66
Passing directness
60
Transition ~proxy
59
Receiving zones
58
Final-third threat
58
Creativity
56
Crossing
56
Territory (wide vs central)
50
Press resistance ~proxy
48
Carrying
42
Ball-winning
33
Through-balls ~proxy
32
Defensive aggression
31
Dribbling
23
Box threat
15
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: 182 cm / 69 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.
Marco Friedl Werder Bremen · Bundesliga · 187 cm / 82 kg
71%
Driven by: box threat (23%), defensive aggression (13%), build-up (13%). Different mechanism — Høgsberg more via territory (wide vs central); Friedl more via through-balls, dribbling.
Renato Veiga Villarreal · La Liga · 188 cm / 88 kg
66%
Driven by: defensive aggression (23%), box threat (15%), dribbling (14%). Different mechanism — Høgsberg more via territory (wide vs central), crossing; Veiga more via carrying, passing directness.
Clinton Mata Lyon · 180 cm / 72 kg
64%
Driven by: box threat (32%), defensive aggression (21%), ball-winning (10%). Different mechanism — Høgsberg more via passing directness; Mata more via through-balls, dribbling.
Oliver Provstgaard Lazio · Serie A · 194 cm / 70 kg
62%
Driven by: box threat (14%), build-up (12%), retention (11%). Different mechanism — Høgsberg more via territory (wide vs central); Provstgaard more via carrying, creativity.
David Alaba Udinese · Serie A · 180 cm / 78 kg
60%
Driven by: dribbling (17%), build-up (15%), ball-winning (14%). Different mechanism — Høgsberg more via territory (wide vs central), through-balls; Alaba more via box threat, carrying.
El Chadaille Bitshiabu RBL · Bundesliga 25/26 · 196 cm / 95 kg
59%
Driven by: build-up (21%), box threat (19%), dribbling (16%). Different mechanism — Høgsberg more via crossing, territory (wide vs central); Bitshiabu more via carrying.
17
Summary
Lucas Høgsberg is a ball-playing centre-back: 86% pass completion, 20 line-breaking passes and 7.1 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 4 matches (215 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-playing centre-back — best used in a system built around that identity.
His biggest room for growth is press resistance — even a modest improvement there would meaningfully lift his overall ball-playing 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.