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Player reportLa Liga 2026

Dani Requena

Levante
Ball-winning 6 (destroyer) DM
17.2 defensive actions/90
defensive midball-winning 6press resistancescreening
440
minutes
7 apps
141
passes
85% completed
85%
pass completion
141 passes
8
progressive passes
1.6/90
84
defensive actions
17.2/90
17
tackles + interceptions
56% tackle win
25
recoveries
5.1/90
6
line-breaking passes
1.2/90
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
drop between the centre-backs — mostly in the middle third (66% of his 141 passes)
85% completion · 141× in 6/6 matches
↓
ESCAPE PRESSURE
turn out of a tight central area
20% won · 10× in 5/6 matches
↓
PROGRESS CENTRAL
break a line through the middle
1.6 prog/90 · 6× in 5/6 matches
↓
SCREEN / WIN BALL
protect the back four
8.6 ball-wins/90 · 42× in 6/6 matches
↓
RECYCLE / PROGRESS
keep it ticking, feed the final third
2.7 f3-entries/90 · 13× in 5/6 matches
Signature: drop to receive → escape the press on the turn → progress centrally or recycle → screen the counter. Block the central lane and press his first touch to force him backwards.
13

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 →
24
passes / match
17.2
def actions / 90
10–29
pass range (matches)
7
clearances
Pass range = his fewest and most passes in any single match this season (10 at the low end, 29 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.

06

How dangerous are his carries?

Real ball-carries

32 tracked carries (6.5/90, 7 progressive, 287m 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.

3%9%6%12%3%6%19%12%3%3%9%12%
progressivelateral/short% of his 32 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 25m
By zone — where the carry started → where it ended
3Outside → Inside
21Inside → Inside
4Outside → Outside
4Inside → Outside
First (18)Second (14)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
9
won
7
beaten · 44%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 88%
OUTSIDE 12%
Tackle-duel location — 14 inside · 2 outside
Right Wing
1 · 6%
Right Half-Space
3 · 19%
Central
10 · 62%
Left Half-Space
1 · 6%
Left Wing
1 · 6%
Vision AI beaten in 7 of 16 tackle duels (44% loss rate) — a real defensive leak worth flagging.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

Dribbles (1v1s)

Can he escape pressure on the ball? His carries/dribbles in tight central areas, by channel. Season rate: 2.05 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 60%
OUTSIDE 40%
Dribble location — 6 inside · 4 outside
Right Wing
1 · 10%
Right Half-Space
2 · 20%
Central
4 · 40%
Left Half-Space
0 · 0%
Left Wing
3 · 30%
Vision AI 60% of his carries are central — he receives and turns in congested midfield zones rather than out wide.
07

How does he create chances?

1 key passes (0.20/90), 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:
100%
chance creation (1)assist (0)% of the selected group's key passes originating in each zone
03

Where does he become vulnerable?

29 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.

9
attacking third (cheap)
14
middle third
6
own third (dangerous)
Vision AI 31% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.95 danger-index/90 · 0.328 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 Receive?

The zones where Dani Requena 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
22%
Primary
Central, Middle third
15%
Secondary
Right Half-Space, Middle third
14%
Third
Left Half-Space, Middle 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 Dani Requena 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:
3610238219231312321910112
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.

1%13%6%7%1%1%5%16%9%6%1%2%4%6%16%5%1%
own goal left, attacking →
08

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.

1Key pass
1Cutback
8Progressive
6Long ball
2Switch
By zone — where the pass started → where it landed
9Outside → Inside
51Inside → Inside
16Outside → Outside
44Inside → Outside
By direction
52Forward
48Backward
41Sideways
own goal left, attacking →
02

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 1 key passes, his busiest route is a delivery where he plays inside from the right hs toward the central 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: 30% of his 10 touches there are lost (3 times).
—1 touch · too few—0 touches · too few—7 touches · too few—6 touches · too few—4 touches · too few—7 touches · too few9%2/22 lost12%4/32 lost14%3/21 lost9%1/11 lost—4 touches · too few30%3/10 lost—7 touches · too few—6 touches · too few—3 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

09

How & where does he defend?

84 defensive actions across the season (17.2/90). 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 →
16
tackles · 56% won
1
interceptions · 0.2/90
25
recoveries · 5.1/90
7
clearances · 1.4/90
2
blocks
45
avg action height
15
won high (att 3rd)
36
middle third
33
own third
Vision AI A front-foot / high defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 42 proactive ball-wins (8.6/90), tackle success 56%. He defends high, stepping out to intercept — suits a high line.
10

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Dani Requena 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 ~2-3 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 3.5, 2m)
85%
0.0
0.9
0.23
Mid press (PPDA 4.4, 2m)
100%
2.8
2.8
0.65
Low press (PPDA 5.9, 3m)
83%
3.0
1.3
0.45
Team

Team context

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

11

Impact on the Team

Levante's output per match with Dani Requena (7 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 (7)
WITHOUT (3)
Δ
goals against /match
2.00
1.67
+0.33
points /match
0.86
1.33
-0.48
goals for /match
1.57
1.67
-0.10
xG for /match
1.17
0.96
+0.21
12

His Share of the Team

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

category
share
him / team
goals
6%
1 / 16
tackles
3%
16 / 621
zone-14 entries
2%
4 / 217
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

14

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 300 defensive mids in the pool (min 180 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.

Ball-winning 663%Tempo controller22%Deep-lying playmaker19%
Why Ball-winning 6 63%: a weighted blend of defensive aggression 91 (weight 30%) + ball-winning 59 (weight 40%) + retention 34 (weight 15%) + progression 10 (weight 15%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
defensive aggression
Strong
box threat
Average
territory (wide vs central), ball-winning, receiving zones
Weak
transition, press resistance, retention, dribbling, creativity, build-up, carrying, passing directness, crossing, through-balls, final-third threat, progression, line-breaking
Unknown
aerial ability, marking, off-ball running — not in event data
Defensive aggression
91
Box threat
73
Territory (wide vs central)
68
Ball-winning
59
Receiving zones
48
Transition ~proxy
36
Press resistance ~proxy
35
Retention
34
Dribbling
32
Creativity
32
Build-up
27
Carrying
22
Passing directness
21
Crossing
17
Through-balls ~proxy
12
Final-third threat
12
Progression
10
Line-breaking
9
15

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 / 76 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 La Liga, Bundesliga, Ligue 1, 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.

Mads Bidstrup Lyon · Ligue 1 · 174 cm / 75 kg
90%
Driven by: progression (10%), crossing (10%), defensive aggression (9%). Different mechanism — Requena more via transition, receiving zones.
João Palhinha Tottenham · Premier League 25/26 · 190 cm / 84 kg
79%
Driven by: crossing (18%), progression (11%), final-third threat (10%). Different mechanism — Requena more via receiving zones, defensive aggression; Palhinha more via build-up, passing directness.
Caleb Yirenkyi Coventry · Premier League · 182 cm / 77 kg
77%
Driven by: crossing (16%), defensive aggression (12%), final-third threat (11%). Different mechanism — Requena more via box threat; Yirenkyi more via line-breaking.
Tim Iroegbunam Hull City · Premier League · 183 cm / 70 kg
77%
Driven by: defensive aggression (16%), final-third threat (16%), progression (15%). Different mechanism — Requena more via box threat, territory (wide vs central); Iroegbunam more via dribbling, passing directness.
Gabriel Moscardo Espanyol · 185 cm / 76 kg
76%
Driven by: defensive aggression (20%), progression (10%), line-breaking (9%). Different mechanism — Requena more via territory (wide vs central), receiving zones; Moscardo more via crossing, dribbling.
Zento Uno Borussia Monchengladbach · Bundesliga · 176 cm / 72 kg
75%
Driven by: crossing (14%), progression (11%), final-third threat (11%). Different mechanism — Requena more via territory (wide vs central), ball-winning.
16

Summary

Dani Requena is a ball-winning 6: 85% completion, 6 line-breaks and 1.6 progressive passes /90, resisting pressure with 20% dribble success. A central controller. [Off-ball screening position and scanning need tracking data.]

Based on 7 matches (440 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a ball-winning 6 — 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 ball-winning 6 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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