Thin sample this season. Williot Swedberg has played 9 matches (422 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
Left Half-Space, Attacking third — mostly in the attacking third (51% of his 90 passes)
30% of touches wide left · 90× in 9/9 matches
↓
CARRY / BEAT MAN
dribble past the full-back, cut inside
20% won · 10× in 6/9 matches
↓
PROGRESS
drive the ball into the final third
1.3 progressive · 1.1 f3/90 · 6× in 5/9 matches
↓
CREATE / FINISH
cut-back or shot from inside
1.07 key passes /90 · 0 goals · 9× in 4/9 matches
Signature: receive wide left → beat the full-back → carry into the right-foot channel → deliver or shoot. Stop the 1v1 on the left and you starve the chain.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
28 tracked carries (6.0/90, 8 progressive, 315m total) — the ball moving with his touches, a different signal from dribbles below (beating an opponent 1v1). this counts every touch-carry, not just his dribble attempts below — a fuller picture of how much of his ball-carrying is control-and-move rather than beating a man.
progressivelateral/short% of his 28 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 28m
By zone — where the carry started → where it ended
First (17)Second (11)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Williot Swedberg's signature is the dribble. Does he carry outside (down the left wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 2.13 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 70%
OUTSIDE 30%
Dribble location — 7 inside · 3 outside
Right Wing
1 · 10%
Right Half-Space
1 · 10%
Central
3 · 30%
Left Half-Space
3 · 30%
Left Wing
2 · 20%
Vision AI 30% of his dribbles are in the wide left lane — he attacks the full-back on the outside, then threatens to cut inside onto his right foot.
02
How does he create chances?
5 key passes (1.07/90), 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 (5)assist (0)% of the selected group's key passes originating in each zone
Box deliveries — key passes reaching the final third, by flank
from the left (4)from the right (1)of 5 key passes landing in the final thirdattacking ↑ toward goal
08
Where does he become vulnerable?
35 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
21
attacking third (cheap)
11
middle third
3
own third (dangerous)
Vision AI 60% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.65 danger-index/90 · 0.221 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Williot Swedberg 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 →
06
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 5 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 middle 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 half-space in the final third: 47% of his 17 touches there are lost (8 times).
05
Does he carry inside or outside — his ball-carries across the pitch
Four arrows, one per movement class of his ball-carries: outside→inside (cutting in with the ball), inside→outside (carrying wide), outside→outside (down the touchline) and inside→inside (through the middle). Each count is measured from the carry's real start and end coordinates.
own goal left, attacking →
Across 28 ball-carries, his dominant tendency is that he carries through central areas (36%). He carries from outside into the middle 9 times and out toward the touchline 0 — a genuine inside forward who cuts in with the ball.
07
What happens right after he carries the ball
Every carry's end point matched against his own very next pass or shot in the same match, when one starts almost exactly there — the direct continuation of that touch, not a separate stat. “No clean link” means no pass or shot of his own started close enough to count (often the carry ended in a tackle or a loss); it isn't a claim about exactly what happened, only that nothing traceable followed.
Shot
1 · 4%
Progressive / key pass
3 · 11%
Simple pass
14 · 50%
No clean link
10 · 36%
Of 28 carries, 4% flow straight into a shot of his own, 11% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 36% have no clean link to a next touch of his own close to where the carry ended.
60 defensive actions across the season (12.8/90). 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 →
9
tackles · 33% won
3
interceptions · 0.6/90
7
recoveries · 1.5/90
5
clearances · 1.1/90
4
blocks
49
avg action height
17
won high (att 3rd)
25
middle third
18
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (4.1/90), tackle success 33%. He defends high, stepping out to intercept — suits a high line.
Defensive work in the attacking half
Ball-wins in the attacking half only (own half vs. attacking half, a simple 2-way split, not the usual thirds) — the clearest single signal of how much he presses and recovers the ball high up the pitch.
30
attacking-half actions · 6.40/90
09
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Williot Swedberg keep producing when the game is tight and the press is high? Tiers of ~3-3 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 4.5, 3m)
0.19
0.7
0.70
25%
Mid press (PPDA 6.1, 3m)
0.52
2.7
2.00
33%
Low press (PPDA 7.2, 3m)
0.29
0.6
0.57
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Celta Vigo's output per match with Williot Swedberg (9 matches) versus without him (1 matches). Insufficient evidence — the without-sample is only 1 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (9)
WITHOUT (1)
Δ
goals for /match
1.00
1.00
+0.00
xG for /match
0.80
1.00
-0.20
goals against /match
0.67
1.00
-0.33
points /match
1.22
1.00
+0.22
12
His Share of the Team
Of everything Celta Vigo produced this season, the categories where the biggest share ran through Williot Swedberg specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
9%
4.6 / 50.5
shots
6%
27 / 447
tackles
5%
37 / 720
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 180 wingers 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.
Why Pressing forward 47%: a weighted blend of defensive aggression 64 (weight 45%) + ball-winning 49 (weight 30%) + transition 22 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
aerial ability, marking, off-ball running — not in event data
Defensive aggression
64
Passing directness
55
Ball-winning
49
Build-up
47
Box threat
42
Retention
40
Receiving zones
33
Press resistance ~proxy
25
Creativity
25
Transition ~proxy
22
Crossing
20
Through-balls ~proxy
14
Dribbling
10
Carrying
9
Territory (wide vs central)
7
Progression
5
Final-third threat
5
Line-breaking
5
14
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: 187 cm / 78 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 La Liga, Bundesliga, Ligue 1, 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.
Sirlord Conteh Heidenheim · Bundesliga 25/26 · 178 cm / 78 kg
90%
Driven by: progression (12%), final-third threat (11%), carrying (10%). Different mechanism — Swedberg more via retention, receiving zones; Conteh more via passing directness.
Matteo Cancellieri Lazio · Serie A · 180 cm / 79 kg
88%
Driven by: transition (14%), final-third threat (13%), progression (13%). Different mechanism — Cancellieri more via territory (wide vs central), ball-winning.
Federico Bonazzoli Cremonese · Serie A 25/26 · 185 cm / 79 kg
86%
Driven by: carrying (12%), dribbling (12%), progression (11%). Different mechanism — Bonazzoli more via retention, box threat.
Jorge de Frutos Rayo Vallecano · 173 cm / 72 kg
86%
Driven by: progression (14%), final-third threat (14%), transition (11%). Different mechanism — Swedberg more via receiving zones; Frutos more via dribbling, territory (wide vs central).
Pontus Almqvist Parma Calcio 1913 · Serie A · 183 cm / 67 kg
85%
Driven by: progression (14%), line-breaking (12%), final-third threat (11%). Different mechanism — Swedberg more via passing directness, box threat; Almqvist more via territory (wide vs central), creativity.
Chris Rigg Sunderland · Premier League · 177 cm / 65 kg
81%
Driven by: progression (15%), carrying (13%), line-breaking (11%). Different mechanism — Swedberg more via box threat, receiving zones; Rigg more via passing directness, crossing.
15
Summary
Williot Swedberg is a wide, outside-first left carrier: 30% of dribbles in the wing lane, 30% of passes from wide — but 63% land inside. 1.3 progressive passes and 1.07 key passes /90 plus 0 goals from 0.57 xG. A carry-and-deliver threat.
Based on 9 matches (422 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a pressing forward — best used in a system built around that identity.
His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall pressing forward 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.