Thin sample this season. Jean-Philippe Mateta has played 3 matches (157 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.
Signature: Link → Finish — the only steps proven repeatable this season (2 of 4 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: receive / move — 1× (low confidence, shown as a number only, no tactical conclusion drawn); convert — 0× (insufficient confidence, hidden — not enough evidence yet) — omitted from the signature rather than presented as one.
23 defensive actions across the season (13.2/90). 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 →
2
tackles · 0% won
0
interceptions · 0.0/90
5
recoveries · 2.9/90
2
clearances · 1.1/90
0
blocks
51
avg action height
8
won high (att 3rd)
8
middle third
7
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 7 proactive ball-wins (4.0/90), tackle success 0%. 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.
15
attacking-half actions · 8.60/90
Team
Team context
How much of the team runs through him, and what changes without him.
Crystal Palace's output per match with Jean-Philippe Mateta (3 matches) versus without him (5 matches). Insufficient evidence — the without-sample is only 5 matches; treat every Δ below as noise until more games exist. A proper on-off model needs many more minutes.
WITH (3)
WITHOUT (5)
Δ
goals for /match
0.00
1.80
-1.80
xG for /match
1.31
0.00
+1.31
goals against /match
3.00
2.00
+1.00
points /match
0.00
1.40
-1.40
04
His Share of the Team
Of everything Crystal Palace produced this season, the categories where the biggest share ran through Jean-Philippe Mateta specifically — his share of the team total, not a per-90 rate.
category
share
him / team
expected goals (xG)
21%
13.7 / 65.0
shots
12%
69 / 558
successful take-ons
7%
16 / 240
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 Poacher 68%: a weighted blend of box threat 77 (weight 55%) + final-third threat 48 (weight 30%) + press resistance 50 (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
Passing directness
94
Crossing
84
Box threat
77
Line-breaking
76
Through-balls ~proxy
76
Progression
62
Transition ~proxy
62
Dribbling
58
Press resistance ~proxy
50
Final-third threat
48
Ball-winning
46
Defensive aggression
39
Carrying
39
Retention
33
Build-up
31
Creativity
26
Receiving zones
25
Territory (wide vs central)
10
06
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: 192 cm / 88 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.
Phillip Tietz Mainz · Bundesliga · 190 cm / 90 kg
56%
Driven by: passing directness (22%), territory (wide vs central) (14%), build-up (13%). Different mechanism — Mateta more via crossing, line-breaking; Tietz more via receiving zones, creativity.
Richarlison Tottenham · 184 cm / 83 kg
56%
Driven by: passing directness (23%), receiving zones (12%), crossing (11%). Different mechanism — Mateta more via box threat, dribbling; Richarlison more via territory (wide vs central), ball-winning.
Rafiu Durosinmi Pisa · Serie A 25/26 · 192 cm / 86 kg
56%
Driven by: territory (wide vs central) (18%), passing directness (15%), build-up (14%). Different mechanism — Mateta more via box threat, line-breaking; Durosinmi more via defensive aggression.
Yoane Wissa Newcastle · 176 cm / 75 kg
51%
Driven by: territory (wide vs central) (31%), passing directness (17%), box threat (10%). Different mechanism — Mateta more via crossing, line-breaking; Wissa more via build-up, carrying.
Vedat Muriqi Mallorca · La Liga 25/26 · 194 cm / 92 kg
48%
Driven by: passing directness (20%), box threat (20%), territory (wide vs central) (11%). Different mechanism — Mateta more via through-balls, line-breaking; Muriqi more via territory (wide vs central).
Duván Zapata Torino · Serie A · 189 cm / 88 kg
48%
Driven by: passing directness (16%), through-balls (15%), crossing (15%). Different mechanism — Mateta more via dribbling, passing directness; Zapata more via territory (wide vs central), build-up.
07
Summary
Jean-Philippe Mateta is a poacher / target man: 0 goals from 1.96 xG (-1.96 vs expected), 6 shots, 1 box entries. Under-performing his chances. [Off-ball runs, aerials and hold-up under contact need tracking/aerial data.]
Based on 3 matches (157 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a poacher / target man — best used in a system built around that identity.
His biggest room for growth is final-third threat — even a modest improvement there would meaningfully lift his overall poacher profile.
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