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Player reportSerie A 2025/26

Juan Miranda

Bologna
Overlapping full-back FB
pushes high (x=51) · 0.0 crosses/90
Capability Analysis
Ball-Winning44%vs 17 defensive mids
"How actively does he win the ball back?"
Interceptions /901.1359%
Ball recoveries /903.7718%
Tackles /901.747%
Duels won /901.0253%
Breaking Pressure
only 79 pressured-passing actions across 4 high-press matches -- not enough sample (needs 5+ matches and 12+ actions)
Wide Delivery47%vs 17 defensive mids
"Does he create danger from wide areas -- crosses and cutbacks?"
Crosses /900.00%
Cross accuracy: 0.0%
Cutbacks /903.294%
Ball-Carrying53%vs 17 defensive mids
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /904.2559%
Carry distance /9096.1m47%
full-backoverlapping full-backprogressioncrossing
3344
minutes
40 apps
77%
pass completion
2191 passes
250
progressive passes
6.7/90
160
final-3rd entries
4.3/90
39
box entries
1.05/90
466
defensive actions
12.5/90
105
tackles + interceptions
62% tackle win
29
dribbles
38% 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
Left Wing, Middle third — wide or inverted — mostly in the middle third (42% of his 2191 passes)
77% completion · 2191× in 40/40 matches
↓
PROGRESS
carry or combine up the flank
6.7 prog/90 · 250× in 40/40 matches
↓
DRIBBLE
beat his man up the line
38% won · 29× in 21/40 matches
↓
DELIVER
cross or cut-back into the box
76 key passes · 39× in 21/40 matches
↓
DEFEND
1v1 and cover on his side
466 def actions · lost 31% deep · 466× in 40/40 matches
Signature: receive wide/inverted → progress the flank → deliver into the box → recover to defend 1v1. Attack the space behind him in transition.
19

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 →
55
passes / match
12.5
def actions / 90
4–95
pass range (matches)
100
clearances
Pass range = his fewest and most passes in any single match this season (4 at the low end, 95 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.

08

How dangerous are his carries?

Real ball-carries

343 tracked carries (9.2/90, 98 progressive, 3271m 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.

0%0%1%3%4%1%0%3%19%23%23%18%4%
progressivelateral/short% of his 343 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 7m, longest 61m
By zone — where the carry started → where it ended
39Outside → Inside
81Inside → Inside
192Outside → Outside
31Inside → Outside
First (108)Second (100)Third (78)Fourth (57)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).

63
tackle duels
39
won
24
beaten · 38%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 25%
OUTSIDE 75%
Tackle-duel location — 16 inside · 47 outside
Right Wing
0 · 0%
Right Half-Space
2 · 3%
Central
3 · 5%
Left Half-Space
11 · 17%
Left Wing
47 · 75%
Vision AI beaten in 24 of 63 tackle duels (38% 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: 0.78 dribbles attempted /90.

brighter band = more dribbles · own goal left, attacking →
INSIDE 28%
OUTSIDE 72%
Dribble location — 8 inside · 21 outside
Right Wing
0 · 0%
Right Half-Space
0 · 0%
Central
1 · 3%
Left Half-Space
7 · 24%
Left Wing
21 · 72%
Vision AI 72% of his carries are wide — an overlapping full-back who hugs the touchline.
05

How does he build & move the ball?

How does he escape the first line?

22%
vertical passes
172×
6%
switches
46×
22%
carries
168×
50%
short circulation
380×
Answer: he escapes the press primarily through vertical passing — early balls past the first line.

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 →RWRHSCLHSLWRW1164%718%218%2RHS450%250%2C593%214%853%3119%1112%7LHS3622%63%1140%14627%9628%103LW12440%51%1713%16534%42950%628FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left wing in the final third → central areas in the final third — 55 progressive passes (16% of his progression) at 0.200 xT each. He moves it inside.

His progression is inward: 61% of progressive passes move the ball toward the middle versus 1% going wider — he cuts in rather than holding width.

8% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 93 line-breaking passes and 160 final-third entries, 41.0 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
0%0%0%1%0%1%1%1%1%0%5%19%19%21%18%11%
completedincomplete2191 passes · any zone → any zone · own goal left, attacking →
2191
passes
77%
completed
511
lost
Vision AIIn line with his 77% season completion rate.
04

How does he progress play?

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

250
progressive · 6.7/90
160
final-third entries · 4.3/90
39
box entries · 1.05/90
28
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.
11

How does he create chances?

76 key passes (2.05/90), 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:
2%5%2%2%3%7%29%51%
chance creation (59)assist (0)% of the selected group's key passes originating in each zone
14

Can he finish?

17 shots · 0.89 xG · 1 goals (+0.11 vs xG). Mostly left-footed. Circle size = xG.

shots  17
on target  10
goals  1
xG  0.89
xG on target  1.04
xG / shot  0.052
Where he shoots from — click an area of the box
10

Where does he become vulnerable?

529 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.

218
attacking third (cheap)
142
middle third
169
own third (dangerous)
Vision AI 41% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 4.99 danger-index/90 · 0.351 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
12

What is his passing profile?

2191
passes attempted
42%
mostly forward
45%
mostly short
Direction
Forward
924 · 42%
Sideways
505 · 23%
Backward
762 · 35%
Length (completed)
Short (<15m)
749 · 45%
Medium
709 · 42%
Long (>30m)
222 · 13%
09

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.

6.004.013.312.722.051.73
own goal left, attacking →
Highest-value routes (xT)
6.00
Left Wing Mid third → Left Wing Att third
37 passes
4.01
Left Wing Mid third → Left Half-Space Att third
15 passes · 2 to a shot
3.31
Left Wing Def third → Left Wing Mid third
46 passes
2.72
Left Wing Att third → Central Att third
9 passes · 4 to a shot
2.05
Left Wing Att third → Left Half-Space Att third
6 passes · 1 to a shot
1.73
Left Wing Mid third → Left Wing Mid third
22 passes
06

Where Does He Receive?

The zones where Juan Miranda 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
31%
Primary
Left Wing, Middle third
25%
Secondary
Left Wing, Attacking third
20%
Third
Left Wing, Defensive third
These are the zones where he collected the ball most.
07

Where Does He Operate? — Every Zone

Every on-ball touch (pass, dribble, shot) binned into a 6×3 grid — raw counts of where Juan Miranda 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:
120430409462406262330222926622622
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.

0%0%0%1%0%1%1%1%1%0%5%19%19%21%18%11%
own goal left, attacking →
13

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.

76Key pass
83Cross
38Cutback
250Progressive
512Long ball
110Switch
By zone — where the pass started → where it landed
615Outside → Inside
305Inside → Inside
640Outside → Outside
120Inside → Outside
By direction
924Forward
762Backward
505Sideways
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 left wing, advancing it forward in the middle third — 37 passes worth 6.00 xT.
Where do his chances come from?
Of 76 key passes, his busiest route is a delivery where he plays inside from the left wing toward the central in the final third — 38 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 wing in the final third: 62% of his 24 touches there are lost (15 times).
—1 touch · too few—1 touch · too few11%2/19 lost9%10/115 lost35%153/437 lost—2 touches · too few—2 touches · too few6%2/31 lost10%21/212 lost17%113/676 lost62%15/24 lost—3 touches · too few7%1/14 lost35%35/101 lost28%156/553 lostRWRHSCLHSLWDEFMIDATT
02

Crosses & Cutbacks

83 crosses (2.23/90, 25 completed) and 38 cutbacks (1.02/90, 17 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.

15

How & where does he defend?

466 defensive actions across the season (12.5/90). 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 →
63
tackles · 62% won
42
interceptions · 1.1/90
140
recoveries · 3.8/90
100
clearances · 2.7/90
27
blocks
33
avg action height
36
won high (att 3rd)
176
middle third
254
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 245 proactive ball-wins (6.6/90), tackle success 62%. He defends mostly around the middle third.
16

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Juan Miranda 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 ~13-14 matches — directional evidence, not proof.

press tier
completion
prog /90
line-breaks /90
xT /90
High press (PPDA 4.5, 13m)
75%
6.1
14.3
1.45
Mid press (PPDA 6.7, 13m)
76%
7.9
14.9
2.00
Low press (PPDA 10.1, 14m)
79%
6.1
12.2
1.71
Team

Team context

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

17

Impact on the Team

Bologna's output per match with Juan Miranda (8 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. 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 (8)
WITHOUT (1)
Δ
goals against /match
1.38
1.00
+0.38
points /match
1.38
0.00
+1.38
goals for /match
1.50
0.00
+1.50
xG for /match
1.32
1.01
+0.31
18

His Share of the Team

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

category
share
him / team
box entries
15%
101 / 688
progressive passes
13%
343 / 2619
expected assists (xA)
10%
3.5 / 34.4
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

20

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 231 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-back68%Inverted full-back46%
Why Overlapping full-back 68%: a weighted blend of crossing 78 (weight 30%) + final-third threat 86 (weight 25%) + transition 43 (weight 25%) + dribbling 42 (weight 20%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
line-breaking, final-third threat
Strong
through-balls, progression, crossing, creativity
Average
receiving zones, ball-winning, defensive aggression, territory (wide vs central), build-up, carrying, transition, dribbling, box threat
Weak
press resistance, retention, passing directness
Unknown
aerial ability, marking, off-ball running — not in event data
Line-breaking
94
Final-third threat
86
Through-balls ~proxy
84
Progression
84
Crossing
78
Creativity
71
Receiving zones
65
Ball-winning
62
Defensive aggression
56
Territory (wide vs central)
55
Build-up
45
Carrying
45
Transition ~proxy
43
Dribbling
42
Box threat
40
Press resistance ~proxy
37
Retention
27
Passing directness
23
21

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: 185 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 Serie A, Bundesliga, La Liga, Ligue 1 and Premier League, 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.

Matteo Ruggeri Aston Villa · Premier League · 187 cm / 69 kg
78%
Driven by: line-breaking (16%), crossing (16%), progression (14%). Different mechanism — Ruggeri more via territory (wide vs central), retention.
Thierry Correia Venezia · 176 cm / 69 kg
78%
Driven by: line-breaking (17%), crossing (16%), through-balls (15%). Different mechanism — Miranda more via final-third threat; Correia more via box threat.
Jesús Areso Athletic Club · La Liga · 182 cm / 81 kg
76%
Driven by: progression (16%), line-breaking (16%), final-third threat (12%). Different mechanism — Miranda more via ball-winning, build-up; Areso more via territory (wide vs central), carrying.
Quentin Merlin Rennes · Ligue 1 · 174 cm / 68 kg
73%
Driven by: line-breaking (17%), creativity (17%), progression (15%). Different mechanism — Merlin more via passing directness, box threat.
Kieran Trippier Newcastle · Premier League 25/26 · 178 cm / 71 kg
72%
Driven by: final-third threat (18%), crossing (14%), line-breaking (14%). Different mechanism — Miranda more via ball-winning, dribbling; Trippier more via passing directness, receiving zones.
Maxim De Cuyper Brighton · Premier League · 182 cm / 71 kg
72%
Driven by: line-breaking (17%), crossing (15%), through-balls (13%). Different mechanism — Miranda more via territory (wide vs central), ball-winning; Cuyper more via box threat, retention.
22

Summary

Juan Miranda is an overlapping full-back: 6.7 progressive passes and 39 box entries, delivering 76 key passes. Overlap-first full-back. [1v1 recovery pace and off-ball overlap timing need tracking.]

Based on 40 matches (3344 minutes) this season — a reliable read. He profiles as an overlapping full-back — 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 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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