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Player reportPremier League 2025/26

Jeremie Frimpong

Liverpool
Overlapping full-back FB
pushes high (x=63) · 0.0 crosses/90
full-backoverlapping full-backprogressioncrossing
1352
minutes
26 apps
80%
pass completion
669 passes
19
progressive passes
1.3/90
38
final-3rd entries
2.5/90
5
box entries
0.33/90
165
defensive actions
11.0/90
23
tackles + interceptions
75% tackle win
46
dribbles
41% won
Overview

The player

Who he is and how he compares with his peers.

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 — wide or inverted — mostly in the attacking third (46% of his 669 passes)
80% completion · 669× in 26/26 matches
↓
PROGRESS
carry or combine up the flank
1.3 prog/90 · 19× in 10/26 matches
↓
DRIBBLE
beat his man up the line
41% won · 46× in 22/26 matches
↓
DEFEND
1v1 and cover on his side
165 def actions · lost 15% deep · 165× in 26/26 matches
Signature: Receive → Progress → Dribble → Defend — the only steps proven repeatable this season (4 of 5 in the full pattern). Not enough evidence yet for the rest of the chain below.
Not a pattern: deliver — 5× (low confidence, shown as a number only, no tactical conclusion drawn) — omitted from the signature rather than presented as one.
18

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 →
26
passes / match
11.0
def actions / 90
2–67
pass range (matches)
25
clearances
Pass range = his fewest and most passes in any single match this season (2 at the low end, 67 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.

07

How dangerous are his carries?

Real ball-carries

157 tracked carries (10.5/90, 62 progressive, 1726m 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.

4%11%28%42%10%3%1%1%1%
progressivelateral/short% of his 157 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 9m, longest 38m
By zone — where the carry started → where it ended
30Outside → Inside
20Inside → Inside
102Outside → Outside
5Inside → Outside
First (95)Second (38)Third (22)Fourth (2)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).

16
tackle duels
12
won
4
beaten · 25%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 31%
OUTSIDE 69%
Tackle-duel location — 5 inside · 11 outside
Right Wing
11 · 69%
Right Half-Space
5 · 31%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI beaten in 4 of 16 tackle duels (25% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

Does he carry outside (overlap) or inside (invert into midfield)? Every carry by channel. Season rate: 3.06 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 33%
OUTSIDE 67%
Dribble location — 15 inside · 31 outside
Right Wing
31 · 67%
Right Half-Space
15 · 33%
Central
0 · 0%
Left Half-Space
0 · 0%
Left Wing
0 · 0%
Vision AI 67% of his carries are wide — an overlapping full-back who hugs the touchline.
04

How does he build & move the ball?

How does he escape the first line?

4%
vertical passes
7×
1%
switches
1×
18%
carries
28×
78%
short circulation
124×
Answer: he escapes the press primarily through carrying — stepping out with the ball.

How he moves the ball — his 4 busiest progression routes, not where every pass starts and ends separately. Arrow width = how often, colour = xT gained, dashed = switch of play. The full breakdown is in the lane matrix below.

own goal left, attacking →
Lane transition matrix — when he receives in a lane, where does it go?
TO →RWRHSCLHSLWRW40857%23137%1525%211%30%1RHS9925%2539%3935%35C2223%523%536%814%35%1LHS743%329%229%2LW250%150%1FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the right wing in the final third → the right half-space in the final third — 16 progressive passes (22% of his progression) at 0.048 xT each. He moves it inside.

His progression is inward: 72% of progressive passes move the ball toward the middle versus 1% going wider — he cuts in rather than holding width.

Only 2% of his passes switch play, so his threat is same-side — contain the flank he occupies and the route closes.

Quality behind the volume: 23 line-breaking passes and 38 final-third entries, 1.8 total xT added.

Origin and destination are measured on the same event row — no receiver inference. Receiver identity is not recoverable from this data source.
All passes — origin zone share
Filter: from to
3%11%13%22%23%20%1%1%2%2%0%0%0%0%0%0%
completedincomplete669 passes · any zone → any zone · own goal left, attacking →
669
passes
80%
completed
131
lost
Vision AIIn line with his 80% season completion rate.
11

How does he progress play?

How much he drives the ball forward. Progressive = completed pass advancing ≥15 toward goal.

19
progressive · 1.3/90
38
final-third entries · 2.5/90
5
box entries · 0.33/90
19
progression index /90
Progression index: one composite number — progressive passes + progressive carries + 2% of total distance progressed + 8× positive xT added, all per 90. Weights VOLUME and THREAT together rather than counting progressive actions alone.
09

How does he create chances?

21 key passes (1.40/90), 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:
5%10%81%5%
chance creation (21)assist (0)% of the selected group's key passes originating in each zone
08

Where does he become vulnerable?

158 times he gave the ball away. For a defender the danger is where — a loss in his own third can turn into a chance against; higher up it costs little.

105
attacking third (cheap)
28
middle third
25
own third (dangerous)
Vision AI 66% of losses are in the attacking third — he gambles where a turnover costs little.
Mistake danger (proxy): 2.32 danger-index/90 · 0.220 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
10

What is his passing profile?

669
passes attempted
39%
mostly backward
65%
mostly short
Direction
Forward
165 · 25%
Sideways
244 · 36%
Backward
260 · 39%
Length (completed)
Short (<15m)
349 · 65%
Medium
170 · 32%
Long (>30m)
19 · 4%
13

Preferred Progression Routes — xT-weighted

His progressive passes as zone→zone routes, weighted by expected threat (xT) added — arrow width and the number are the total xT generated on each route, not just how often he plays it. This is where he actually moves the needle.

0.530.460.350.280.150.12
own goal left, attacking →
Highest-value routes (xT)
0.53
Right Wing Mid third → Right Wing Att third
4 passes
0.46
Right Wing Att third → Right Wing Att third
4 passes
0.35
Right Wing Att third → Right Half-Space Att third
1 passes
0.28
Right Wing Att third → Left Half-Space Att third
1 passes
0.15
Right Wing Mid third → Right Wing Mid third
2 passes
0.12
Right Half-Space Mid third → Right Wing Att third
1 passes
05

Where Does He Receive?

The zones where Jeremie Frimpong 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).

123
1 = primary, 2 = secondary, 3 = third · own goal left, attacking →
His collection zones
33%
Primary
Right Wing, Attacking third
29%
Secondary
Right Wing, Middle third
13%
Third
Right Half-Space, Attacking third
These are the zones where he collected the ball most.
06

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Jeremie Frimpong 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:
113235714157227491155166160
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.

3%11%13%22%23%20%1%1%2%2%0%0%0%0%0%0%
own goal left, attacking →
12

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.

21Key pass
12Cross
32Cutback
19Progressive
51Long ball
11Switch
By zone — where the pass started → where it landed
177Outside → Inside
95Inside → Inside
233Outside → Outside
33Inside → Outside
By direction
165Forward
260Backward
244Sideways
own goal left, attacking →
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays straight through the right wing, advancing it forward in the middle third — 4 passes worth 0.53 xT.
Where do his chances come from?
Of 21 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central in the final third — 7 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: 38% of his 79 touches there are lost (30 times).
22%18/81 lost38%6/16 lost—2 touches · too few—1 touch · too few—0 touches · too few10%19/199 lost11%5/45 lost7%1/14 lost—4 touches · too few—1 touch · too few22%47/212 lost38%30/79 lost20%2/10 lost—4 touches · too few—1 touch · too fewRWRHSCLHSLWDEFMIDATT
02

Crosses & Cutbacks

12 crosses (0.80/90, 4 completed) and 32 cutbacks (2.13/90, 19 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
Out of possession

Out of possession

Where and how he defends and presses.

14

How & where does he defend?

165 defensive actions across the season (11.0/90). 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 →
16
tackles · 75% won
7
interceptions · 0.5/90
61
recoveries · 4.1/90
25
clearances · 1.7/90
19
blocks
42
avg action height
36
won high (att 3rd)
61
middle third
68
own third
Vision AI A mid-block defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 84 proactive ball-wins (5.6/90), tackle success 75%. He defends high, stepping out to intercept — suits a high line.
15

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Jeremie Frimpong still play out when the opponent presses high? His build-up quality split by press intensity — the key question for a ball-playing defender. Tiers of ~8-10 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.9, 8m)
80%
1.5
3.0
0.81
Mid press (PPDA 6.6, 8m)
79%
0.5
2.5
0.62
Low press (PPDA 9.0, 10m)
81%
1.9
4.6
0.98
Team

Team context

How much of the team runs through him, and what changes without him.

16

Impact on the Team

Liverpool's output per match with Jeremie Frimpong (5 matches) versus without him (3 matches). Insufficient evidence — the without-sample is only 3 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 (5)
WITHOUT (3)
Δ
goals against /match
1.60
0.00
+1.60
points /match
1.20
3.00
-1.80
goals for /match
1.20
1.67
-0.47
xG for /match
1.80
0.94
+0.87
17

His Share of the Team

Of everything Liverpool produced this season, the categories where the biggest share ran through Jeremie Frimpong specifically — his share of the team total, not a per-90 rate.

category
share
him / team
successful take-ons
4%
19 / 495
box entries
4%
34 / 896
expected assists (xA)
3%
1.1 / 30.1
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

19

Playing-Style Profile

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.

Overlapping full-back70%Inverted full-back43%
Why Overlapping full-back 70%: a weighted blend of crossing 72 (weight 30%) + transition 61 (weight 25%) + dribbling 76 (weight 20%) + final-third threat 54 (weight 25%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
carrying
Strong
dribbling, creativity, receiving zones, crossing, box threat
Average
through-balls, territory (wide vs central), line-breaking, transition, press resistance, defensive aggression, progression, retention, final-third threat
Weak
build-up, ball-winning, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Carrying
92
Dribbling
76
Creativity
74
Receiving zones
74
Crossing
72
Box threat
71
Through-balls ~proxy
66
Territory (wide vs central)
66
Line-breaking
62
Transition ~proxy
61
Press resistance ~proxy
60
Defensive aggression
57
Progression
55
Retention
55
Final-third threat
54
Build-up
31
Ball-winning
28
Passing directness
4
20

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: 171 cm / 63 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.

Alejandro Balde Barcelona · La Liga · 177 cm / 76 kg
73%
Driven by: passing directness (22%), carrying (18%), crossing (11%). Different mechanism — Frimpong more via box threat; Balde more via retention, build-up.
Romain Perraud Lille · Ligue 1 · 173 cm / 68 kg
68%
Driven by: passing directness (23%), crossing (16%), carrying (15%). Different mechanism — Frimpong more via dribbling, creativity; Perraud more via territory (wide vs central), final-third threat.
Ian Maatsen Aston Villa · 178 cm / 57 kg
67%
Driven by: passing directness (22%), creativity (18%), carrying (17%). Different mechanism — Frimpong more via through-balls; Maatsen more via ball-winning.
Achraf Hakimi PSG · Ligue 1 · 181 cm / 73 kg
67%
Driven by: passing directness (18%), carrying (17%), crossing (11%). Different mechanism — Frimpong more via territory (wide vs central), dribbling; Hakimi more via progression, final-third threat.
João Cancelo Barcelona · La Liga · 182 cm / 74 kg
67%
Driven by: carrying (19%), crossing (14%), passing directness (14%). Different mechanism — Cancelo more via ball-winning, final-third threat.
Nuno Mendes PSG · Ligue 1 · 180 cm / 70 kg
65%
Driven by: carrying (16%), creativity (15%), box threat (10%). Different mechanism — Frimpong more via territory (wide vs central); Mendes more via final-third threat, progression.
21

Summary

Jeremie Frimpong is an overlapping full-back: 1.3 progressive passes and 5 box entries, delivering 21 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 26 matches (1352 minutes) — a reasonable read, still building toward a full-season sample. He profiles as an overlapping full-back — 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 overlapping 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.

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