Thin sample this season. Mats Wieffer has played 2 matches (156 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
Right Wing, Middle third — wide or inverted — mostly in the middle third (64% of his 125 passes)
89% completion · 125× in 2/2 matches
↓
DELIVER
cross or cut-back into the box
2 key passes · 3× in 1/2 matches
↓
DEFEND
1v1 and cover on his side
38 def actions · lost 7% deep · 38× in 2/2 matches
Signature: Receive → Deliver → Defend — 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: progress — 1× (low confidence, shown as a number only, no tactical conclusion drawn); dribble — 1× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
11
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 →
62
passes / match
21.9
def actions / 90
61–64
pass range (matches)
2
clearances
Pass range = his fewest and most passes in any single match this season (61 at the low end, 64 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.
21 tracked carries (12.1/90, 4 progressive, 144m 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 21 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 5m, longest 15m
By zone — where the carry started → where it ended
First (21)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).
4
tackle duels
1
won
3
beaten · 75%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 75%
OUTSIDE 25%
Tackle-duel location — 3 inside · 1 outside
Right Wing
1 · 25%
Right Half-Space
1 · 25%
Central
0 · 0%
Left Half-Space
2 · 50%
Left Wing
0 · 0%
Vision AI beaten in 3 of 4 tackle duels (75% 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 create chances?
2 key passes (1.15/90), 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
04
Where Does He Receive?
The zones where Mats Wieffer 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
42%
Primary
Right Wing, Middle third
15%
Secondary
Right Half-Space, Middle third
13%
Third
Right Wing, Attacking 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 Mats Wieffer 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 →
07
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 →
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 left hs 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 right half-space in the final third: 22% of his 9 touches there are lost (2 times).
38 defensive actions across the season (21.9/90). 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 →
4
tackles · 25% won
6
interceptions · 3.5/90
9
recoveries · 5.2/90
2
clearances · 1.2/90
2
blocks
44
avg action height
7
won high (att 3rd)
16
middle third
15
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 19 proactive ball-wins (11.0/90), tackle success 25%. 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.
Brighton's output per match with Mats Wieffer (2 matches) versus without him (6 matches). Insufficient evidence — the without-sample is only 6 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 (2)
WITHOUT (6)
Δ
goals against /match
2.00
0.50
+1.50
points /match
1.50
2.17
-0.67
goals for /match
3.50
2.67
+0.83
xG for /match
1.88
0.00
+1.88
10
His Share of the Team
Of everything Brighton produced this season, the categories where the biggest share ran through Mats Wieffer specifically — his share of the team total, not a per-90 rate.
category
share
him / team
tackles
11%
70 / 615
interceptions
9%
31 / 333
zone-14 entries
9%
22 / 248
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 233 full-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.
Inverted full-back72%Overlapping full-back48%
Why Inverted full-back 72%: a weighted blend of build-up 70 (weight 35%) + retention 75 (weight 30%) + progression 58 (weight 25%) + press resistance 60 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
territory (wide vs central), through-balls, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
95
Ball-winning
90
Receiving zones
75
Retention
75
Box threat
73
Build-up
70
Press resistance ~proxy
60
Progression
58
Line-breaking
57
Creativity
53
Dribbling
51
Transition ~proxy
51
Final-third threat
50
Carrying
49
Crossing
48
Territory (wide vs central)
26
Through-balls ~proxy
23
Passing directness
19
13
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: 189 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 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.
Mathías Olivera Napoli · Serie A · 174 cm / 78 kg
73%
Driven by: defensive aggression (25%), ball-winning (17%), build-up (13%). Different mechanism — Wieffer more via dribbling, territory (wide vs central); Olivera more via passing directness, carrying.
Nico O'Reilly Man City · 193 cm / 77 kg
69%
Driven by: defensive aggression (26%), passing directness (14%), box threat (11%). Different mechanism — Wieffer more via ball-winning, line-breaking; O'Reilly more via carrying.
Rayan Aït-Nouri Man City · 180 cm / 80 kg
63%
Driven by: defensive aggression (20%), ball-winning (18%), passing directness (13%). Different mechanism — Aït-Nouri more via carrying, territory (wide vs central).
Alex Freeman Villarreal · La Liga · 188 cm / 78 kg
61%
Driven by: defensive aggression (17%), ball-winning (15%), build-up (12%). Different mechanism — Wieffer more via crossing, box threat; Freeman more via line-breaking, carrying.
Maximilian Mittelstädt Stuttgart · Bundesliga · 180 cm / 71 kg
60%
Driven by: ball-winning (27%), defensive aggression (20%), box threat (13%). Different mechanism — Wieffer more via defensive aggression; Mittelstädt more via passing directness, final-third threat.
Ivan Smolcic Como · Serie A · 181 cm / 78 kg
58%
Driven by: defensive aggression (29%), ball-winning (15%), passing directness (14%). Different mechanism — Wieffer more via carrying, transition; Smolcic more via through-balls, line-breaking.
14
Summary
Mats Wieffer is an inverted full-back: 0.6 progressive passes and 3 box entries, delivering 2 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]
Based on 2 matches (156 minutes) — an early read, treat with caution until more minutes are logged. He profiles as an inverted full-back — 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 inverted full-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.