His repeatable signature. A step only appears if its reliability score (sample size × match coverage) reaches at least Medium confidence — pattern mining, not anecdotes.
Signature: Link → Finish → Convert — the only steps proven repeatable this season (3 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 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.
29 tracked carries (5.3/90, 9 progressive, 325m 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 29 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 32m
By zone — where the carry started → where it ended
First (22)Second (7)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Does he drop to link or stay central? Touches by channel. Season rate: 2.94 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 69%
OUTSIDE 31%
Dribble location — 11 inside · 5 outside
Right Wing
4 · 25%
Right Half-Space
5 · 31%
Central
2 · 12%
Left Half-Space
4 · 25%
Left Wing
1 · 6%
Vision AI His touches are central and high — a penalty-box striker.
04
How does he create chances?
5 key passes (0.92/90), 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 (3)from the right (2)of 5 key passes landing in the final thirdattacking ↑ toward goal
02
Can he finish?
19 shots · 2.85 xG · 4 goals (+1.15 vs xG). Mostly right-footed. Circle size = xG.
shots 19 on target 12 goals 4 xG 2.85 xG on target 3.01 xG / shot 0.150
Where he shoots from — click an area of the box
07
Where does he become vulnerable?
40 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
19
attacking third (cheap)
19
middle third
2
own third (dangerous)
Vision AI 48% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.50 danger-index/90 · 0.205 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
03
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 plays inside from the right hs toward the central, playing it back 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 half-space in the final third: 56% of his 9 touches there are lost (5 times).
06
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 29 ball-carries, his dominant tendency is that he carries through central areas (69%). He carries from outside into the middle 2 times and out toward the touchline 1 — a genuine inside forward who cuts in with the ball.
05
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
2 · 7%
Progressive / key pass
4 · 14%
Simple pass
10 · 34%
No clean link
13 · 45%
Of 29 carries, 7% flow straight into a shot of his own, 14% into a key or progressive pass — a genuine end product to the carry, not just ball retention. 45% have no clean link to a next touch of his own close to where the carry ended.
55 defensive actions across the season (10.1/90). 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 →
6
tackles · 33% won
0
interceptions · 0.0/90
11
recoveries · 2.0/90
5
clearances · 0.9/90
0
blocks
58
avg action height
18
won high (att 3rd)
28
middle third
9
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 17 proactive ball-wins (3.1/90), 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.
41
attacking-half actions · 7.53/90
09
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Paris Brunner keep producing when the game is tight and the press is high? Tiers of ~2-2 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.7, 2m)
0.16
0.7
0.70
33%
Mid press (PPDA 5.8, 2m)
0.42
1.6
1.05
29%
Low press (PPDA 8.9, 2m)
0.17
0.0
0.94
0%
Team
Team context
How much of the team runs through him, and what changes without him.
Monaco's output per match with Paris Brunner (6 matches) versus without him (2 matches). Insufficient evidence — the without-sample is only 2 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (6)
WITHOUT (2)
Δ
goals for /match
1.50
1.00
+0.50
xG for /match
1.13
0.00
+1.13
goals against /match
0.67
1.50
-0.83
points /match
2.33
0.50
+1.83
12
His Share of the Team
Of everything Monaco produced this season, the categories where the biggest share ran through Paris Brunner specifically — his share of the team total, not a per-90 rate.
category
share
him / team
goals
50%
4 / 8
expected goals (xG)
6%
3.2 / 55.8
shots
5%
23 / 503
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 299 strikers 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 Transition runner 81%: a weighted blend of transition 77 (weight 45%) + defensive aggression 71 (weight 30%) + box threat 72 (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
Carrying
83
Passing directness
83
Transition ~proxy
77
Creativity
77
Box threat
72
Receiving zones
72
Defensive aggression
71
Final-third threat
54
Progression
53
Ball-winning
53
Line-breaking
52
Dribbling
40
Through-balls ~proxy
40
Press resistance ~proxy
30
Territory (wide vs central)
24
Crossing
20
Retention
20
Build-up
20
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: 186 cm / 80 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.
Lukas Nmecha Leeds · Premier League · 185 cm / 80 kg
68%
Driven by: build-up (17%), retention (15%), crossing (13%). Different mechanism — Brunner more via passing directness, receiving zones; Nmecha more via territory (wide vs central), through-balls.
Andrej Ilic Union Berlin · Bundesliga 25/26 · 189 cm / 86 kg
62%
Driven by: build-up (20%), retention (15%), crossing (13%). Different mechanism — Brunner more via carrying, ball-winning.
Mariano Díaz Alaves · La Liga · 180 cm / 76 kg
55%
Driven by: build-up (24%), transition (16%), defensive aggression (14%). Different mechanism — Brunner more via box threat; Díaz more via territory (wide vs central), crossing.
Michael Gregoritsch Augsburg · Bundesliga · 193 cm / 91 kg
54%
Driven by: retention (19%), press resistance (18%), passing directness (14%). Different mechanism — Brunner more via carrying, dribbling; Gregoritsch more via through-balls, crossing.
Nelson Weiper Mainz · Bundesliga 25/26 · 191 cm / 82 kg
53%
Driven by: crossing (19%), defensive aggression (19%), passing directness (16%). Different mechanism — Brunner more via box threat, creativity; Weiper more via territory (wide vs central), dribbling.
Phillip Tietz Mainz · Bundesliga · 190 cm / 90 kg
53%
Driven by: retention (20%), build-up (19%), passing directness (16%). Different mechanism — Brunner more via carrying, creativity; Tietz more via through-balls, crossing.
15
Summary
Paris Brunner is a transition runner / pressing forward: 4 goals from 2.85 xG (+1.15 vs expected), 19 shots, 2 box entries. A clinical finisher. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 6 matches (490 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a transition runner / pressing forward — best used in a system built around that identity.
His biggest room for growth is defensive aggression — even a modest improvement there would meaningfully lift his overall transition runner 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.