Thin sample this season. Jacob Murphy has played 7 matches (365 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, Attacking third — mostly in the attacking third (62% of his 91 passes)
Signature: receive wide right → beat the full-back → carry into the left-foot channel → deliver or shoot. Stop the 1v1 on the right and you starve the chain.
In possession
In possession
What he does with the ball: build-up, progression, creation, carrying and finishing.
16 tracked carries (3.9/90, 5 progressive, 195m 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 16 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 10m, longest 39m
By zone — where the carry started → where it ended
First (16)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Dribbles (1v1s)
Jacob Murphy's signature is the dribble. Does he carry outside (down the right wing) or inside (into the half-space / centre)? Every dribble classified by channel. Season rate: 2.22 dribbles attempted /90.
brighter band = more dribbles · own goal left, attacking →
INSIDE 11%
OUTSIDE 89%
Dribble location — 1 inside · 8 outside
Right Wing
8 · 89%
Right Half-Space
1 · 11%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI 89% of his dribbles are in the wide right lane — he attacks the full-back on the outside, then threatens to cut inside onto his left foot.
02
How does he create chances?
8 key passes (1.97/90), 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 (7)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 (1)from the right (6)of 7 key passes landing in the final thirdattacking ↑ toward goal
07
Where does he become vulnerable?
34 possessions lost. Directness has a cost — the question is where. Attacking-third losses are cheap; deep ones are dangerous.
23
attacking third (cheap)
9
middle third
2
own third (dangerous)
Vision AI 68% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 1.71 danger-index/90 · 0.203 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
04
Where Does He Operate? — Every Zone
Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jacob Murphy 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 8 key passes, his busiest route is a delivery where he plays inside from the right wing toward the central in the final third — 4 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: 67% of his 9 touches there are lost (6 times).
03
Crosses & Cutbacks
11 crosses (2.71/90, 4 completed) and 1 cutbacks (0.25/90, 0 completed) — two separate wide-delivery patterns into the box, each its own map with a completed/failed filter. Neither is a tagged event, so both are inferred from pass geometry — the intended end point of a failed attempt is still real data (an interception doesn’t erase where the ball was aimed): a cross is a pass aimed into the box starting from a wide channel; a cutback starts almost on the byline but is squared back rather than driven forward, aimed centrally around the box. The completed-cross count was checked against this platform’s own real match-level cross totals and lands within about 1 cross of the true count.
Crosses — close-up on the final third
Cutbacks — close-up on the final third
completedfailed (dashed)close-up on the box — attacking ↑ toward goal
46 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 →
5
tackles · 60% won
1
interceptions · 0.2/90
14
recoveries · 3.5/90
6
clearances · 1.5/90
5
blocks
42
avg action height
9
won high (att 3rd)
17
middle third
20
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 20 proactive ball-wins (4.9/90), tackle success 60%. 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 · 3.70/90
08
Against Different Pressing Intensities
Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Does Jacob Murphy keep producing when the game is tight and the press is high? Tiers of ~2-3 matches — directional evidence, not proof.
press tier
xT /90
prog /90
key P /90
dribble%
High press (PPDA 3.3, 2m)
0.95
1.5
2.95
0%
Mid press (PPDA 3.9, 2m)
0.67
1.2
0.00
20%
Low press (PPDA 5.8, 3m)
0.92
2.2
2.16
50%
Team
Team context
How much of the team runs through him, and what changes without him.
Newcastle's output per match with Jacob Murphy (7 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 (7)
WITHOUT (1)
Δ
goals for /match
1.71
0.00
+1.71
xG for /match
1.11
1.14
-0.04
goals against /match
1.86
1.00
+0.86
points /match
1.57
0.00
+1.57
11
His Share of the Team
Of everything Newcastle produced this season, the categories where the biggest share ran through Jacob Murphy specifically — his share of the team total, not a per-90 rate.
category
share
him / team
box entries
9%
52 / 580
shots
8%
46 / 595
progressive passes
7%
127 / 1714
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.
aerial ability, marking, off-ball running — not in event data
Passing directness
97
Line-breaking
78
Through-balls ~proxy
73
Final-third threat
73
Territory (wide vs central)
70
Progression
67
Receiving zones
58
Crossing
56
Creativity
55
Box threat
52
Dribbling
50
Press resistance ~proxy
47
Build-up
44
Transition ~proxy
41
Retention
29
Ball-winning
26
Defensive aggression
24
Carrying
17
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: 179 cm / 74 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.
Adam Karabec Lyon · Ligue 1 25/26 · 187 cm / 80 kg
70%
Driven by: carrying (20%), ball-winning (18%), through-balls (9%). Different mechanism — Murphy more via passing directness, creativity; Karabec more via defensive aggression, through-balls.
Mohamed Salah Liverpool 25/26 · 175 cm / 79 kg
65%
Driven by: line-breaking (13%), ball-winning (12%), through-balls (10%). Different mechanism — Murphy more via dribbling, passing directness; Salah more via box threat, receiving zones.
Franck Honorat Borussia Monchengladbach · Bundesliga · 180 cm / 70 kg
63%
Driven by: defensive aggression (32%), carrying (17%), retention (15%). Different mechanism — Murphy more via passing directness, through-balls.
Vincenzo Grifo Freiburg · Bundesliga · 180 cm / 77 kg
54%
Driven by: defensive aggression (38%), final-third threat (11%), carrying (10%). Different mechanism — Murphy more via territory (wide vs central), passing directness; Grifo more via retention, build-up.
Ángel Pérez Alaves · La Liga · 183 cm
52%
Driven by: defensive aggression (25%), passing directness (23%), territory (wide vs central) (13%). Different mechanism — Murphy more via receiving zones, box threat; Pérez more via ball-winning, territory (wide vs central).
Federico Dimarco Inter · Serie A · 175 cm / 75 kg
52%
Driven by: carrying (20%), defensive aggression (16%), line-breaking (13%). Different mechanism — Murphy more via passing directness; Dimarco more via ball-winning, build-up.
14
Summary
Jacob Murphy is a wide, outside-first right carrier: 89% of dribbles in the wing lane, 75% of passes from wide — but 49% land inside. 1.7 progressive passes and 1.97 key passes /90 plus 0 goals from 0.47 xG. A carry-and-deliver threat.
Based on 7 matches (365 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a half-space creator / inside forward — best used in a system built around that identity.
His biggest room for growth is dribbling — even a modest improvement there would meaningfully lift his overall half-space creator 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.