العربيةSeason2025/262026 · this seasonAll seasons
Building the full report
Combining every season — this one is larger, give it a moment.
Vision AI ← BACK TO SEARCH
Player reportSerie A 2026

Tiago Gabriel

Lecce
Stopper centre-back CB
20.4 defensive actions/90 · 3.4 progressive/90 — defends first
Capability Analysis
Aerial & Box Defending44%vs 43 centre-backs
"Can he win the individual defensive battle in his own box?"
Aerial duels won /900.00%
Aerial win rate: 0.0%
Clearances /906.5888%
Ball-Winning58%vs 43 centre-backs
"How actively does he win the ball back?"
Interceptions /901.2765%
Ball recoveries /902.367%
Tackles /901.7870%
Duels won /903.1988%
Breaking Pressure51%vs 35 centre-backs
"Can he retain and progress the ball while his own team is being pressed?"
Retention under pressure91.0%83%
Progressive passes while pressed323%
Line-breaking passes while pressed169%
Progressive carries while pressed241%
Threat added while pressed (xT)1.19xT37%
Progression16%vs 43 centre-backs
"Can he move the team forward with a pass, not just recycle it sideways?"
Progressive passes /901.669%
Line-breaking passes /900.285%
Threat added by passing /900.52xT5%
Pass accuracy88.16%47%
Ball-Carrying38%vs 43 centre-backs
"Does he advance the ball himself when the pass isn't on?"
Progressive carries /903.2137%
Carry distance /9088.42m40%
centre-backstopper centre-backbuild-upline-breaking
503
minutes
7 apps
216
passes
94% completed
94%
pass completion
216 passes
19
progressive passes
3.4/90
12
line-breaking passes
2.1/90
114
defensive actions
20.4/90
24
tackles + interceptions
71% tackle win
38
clearances
6.8/90
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
in the first line of build-up — mostly in the defensive third (49% of his 216 passes)
94% completion · 216× in 7/7 matches
↓
CARRY OUT
step into midfield to commit a presser
2 carries · 4× in 2/7 matches
↓
BREAK A LINE
vertical pass past the opponent midfield
3.4 prog/90 · 12× in 5/7 matches
↓
SWITCH PLAY
diagonal to the far side
cross-field balls · 5× in 3/7 matches
↓
PROGRESS
entries into the final third
1.4/90 · 8× in 4/7 matches
Signature: receive in the first line → break the midfield line vertically → switch or progress. Press him early and shut the vertical lane to force the safe sideways ball.
17

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 →
31
passes / match
20.4
def actions / 90
5–80
pass range (matches)
38
clearances
Pass range = his fewest and most passes in any single match this season (5 at the low end, 80 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

52 tracked carries (9.3/90, 13 progressive, 461m 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%29%13%4%2%6%21%12%10%
progressivelateral/short% of his 52 carries originating in each zone · own goal left, attacking →
Every carry, exact path — median 8m, longest 25m
By zone — where the carry started → where it ended
3Outside → Inside
44Inside → Inside
4Outside → Outside
1Inside → Outside
First (20)Second (18)Third (8)Fourth (6)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).

14
tackle duels
10
won
4
beaten · 29%
brighter band = more tackle duels · own goal left, attacking →
INSIDE 71%
OUTSIDE 29%
Tackle-duel location — 10 inside · 4 outside
Right Wing
0 · 0%
Right Half-Space
2 · 14%
Central
2 · 14%
Left Half-Space
6 · 43%
Left Wing
4 · 29%
Vision AI beaten in 4 of 14 tackle duels (29% loss rate) — a solid 1v1 defensive record.
Every tackle duel, exact location
wonlost — dribbled pastown goal left, attacking →

He attempted only 2 dribbles of his own all season — dribbling is not part of this role; his ball-carrying is covered above, his defending against the dribble below.

03

How does he build & move the ball?

How does he escape the first line?

9%
vertical passes
16×
3%
switches
5×
26%
carries
44×
62%
short circulation
104×
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 →RWRHSCLHSLWRW1100%1RHS617%183%5C7021%1544%3114%1020%14LHS10914%1526%2826%2835%38LW1612%250%838%6FROM
Rows normalised: each row sums to 100% of that lane's completed passes. Grey number = passes from that lane.

Primary route: the left half-space in the middle third → the left half-space in the middle third — 3 progressive passes (18% of his progression) at 0.042 xT each. He keeps it in the same lane.

His progression is inward: 47% of progressive passes move the ball toward the middle versus 6% going wider — he cuts in rather than holding width.

9% of his passes are cross-field switches — he changes the point of attack often.

Quality behind the volume: 5 line-breaking passes and 8 final-third entries, 3.5 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
2%0%1%8%17%16%4%1%3%19%17%9%1%
completedincomplete216 passes · any zone → any zone · own goal left, attacking →
216
passes
94%
completed
14
lost
Vision AIIn line with his 94% season completion rate.
04

How does he progress play?

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

19
progressive · 3.4/90
8
final-third entries · 1.4/90
1
box entries · 0.18/90
14
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.
12

How does he create chances?

1 key passes (0.18/90), 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
09

Where does he become vulnerable?

15 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.

1
attacking third (cheap)
10
middle third
4
own third (dangerous)
Vision AI 7% of losses are in the attacking third — a notable share happen deeper, which invites transitions.
Mistake danger (proxy): 1.19 danger-index/90 · 0.443 avg/turnover. Weights each loss by threat conceded at that location. True xT-conceded needs the opponent possession model; positional proxy.
08

What is his passing profile?

216
passes attempted
50%
mostly forward
53%
mostly medium
Direction
Forward
108 · 50%
Sideways
82 · 38%
Backward
26 · 12%
Length (completed)
Short (<15m)
85 · 42%
Medium
108 · 53%
Long (>30m)
9 · 4%
10

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.

0.330.290.210.180.150.14
own goal left, attacking →
Highest-value routes (xT)
0.33
Left Wing Mid third → Left Half-Space Att third
2 passes
0.29
Left Half-Space Def third → Left Half-Space Mid third
4 passes
0.21
Left Half-Space Mid third → Left Half-Space Mid third
2 passes
0.18
Right Half-Space Mid third → Right Half-Space Att third
1 passes
0.15
Central Mid third → Central Att third
1 passes
0.14
Left Half-Space Mid third → Left Wing Att third
1 passes
05

Where Does He Receive?

The zones where Tiago Gabriel 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
27%
Primary
Left Half-Space, Middle third
24%
Secondary
Left Half-Space, Defensive third
19%
Third
Central, Defensive 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 Tiago Gabriel 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:
742362121737359454131
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.

2%0%1%8%17%16%4%1%3%19%17%9%1%
own goal left, attacking →
11

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
19Progressive
12Long ball
5Switch
By zone — where the pass started → where it landed
11Outside → Inside
132Inside → Inside
6Outside → Outside
53Inside → Outside
By direction
108Forward
26Backward
82Sideways
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 →
How does he progress the ball forward?
His most common route for progressing play: he plays inside from the left wing toward the left hs, advancing it forward in the middle third — 2 passes worth 0.33 xT.
Where do his chances come from?
Of 1 key passes, his busiest route is a delivery where he plays inside from the left 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 left wing in the middle third: 25% of his 12 touches there are lost (3 times).
—1 touch · too few—3 touches · too few2%1/41 lost2%1/53 lost12%1/8 lost—2 touches · too few—3 touches · too few3%1/31 lost7%4/57 lost25%3/12 lost—0 touches · too few—0 touches · too few—1 touch · too few—4 touches · too few—0 touches · too fewRWRHSCLHSLWDEFMIDATT
Out of possession

Out of possession

Where and how he defends and presses.

13

How & where does he defend?

114 defensive actions across the season (20.4/90). 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 →
14
tackles · 71% won
10
interceptions · 1.8/90
16
recoveries · 2.9/90
38
clearances · 6.8/90
0
blocks
32
avg action height
9
won high (att 3rd)
39
middle third
66
own third
Vision AI A deep-defending defender. He wins the ball mainly by stepping in — tackles, interceptions & recoveries outweigh clearances. 40 proactive ball-wins (7.2/90), tackle success 71%. He defends mostly around the middle third.
14

Can he play under pressure?

Split by how hard the opponent pressed (opponent PPDA — lower = more intense press). Can Tiago Gabriel 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 2.9, 2m)
88%
1.6
2.4
0.50
Mid press (PPDA 3.5, 2m)
90%
1.3
1.3
0.31
Low press (PPDA 5.2, 3m)
95%
5.4
2.5
1.18
Team

Team context

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

15

Impact on the Team

Lecce's output per match with Tiago Gabriel (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. 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 (1)
Δ
goals against /match
1.57
3.00
-1.43
points /match
1.29
0.00
+1.29
goals for /match
1.29
0.00
+1.29
xG for /match
1.42
0.00
+1.42
16

His Share of the Team

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

category
share
him / team
goals
22%
2 / 9
clearances
22%
285 / 1320
interceptions
18%
55 / 299
Recruitment

Style and verdict

Style profile, closest comparables, and the summary.

18

Playing-Style Profile

Not raw event counts — football style scores: weighted models scored 0–100 against the 513 centre-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.

Stopper centre-back59%Ball-playing centre-back48%
Why Stopper centre-back 59%: a weighted blend of defensive aggression 64 (weight 35%) + ball-winning 53 (weight 40%) + retention 61 (weight 15%) + transition 36 (weight 10%). The score reflects how distinctively his profile SHAPE matches this archetype vs his peers.
Elite
—
Strong
—
Average
box threat, defensive aggression, passing directness, press resistance, retention, build-up, ball-winning, dribbling
Weak
transition, carrying, crossing, creativity, progression, through-balls, receiving zones, line-breaking, territory (wide vs central), final-third threat
Unknown
aerial ability, marking, off-ball running — not in event data
Box threat
70
Defensive aggression
64
Passing directness
64
Press resistance ~proxy
61
Retention
61
Build-up
56
Ball-winning
53
Dribbling
48
Transition ~proxy
36
Carrying
32
Crossing
28
Creativity
23
Progression
16
Through-balls ~proxy
10
Receiving zones
10
Line-breaking
9
Territory (wide vs central)
9
Final-third threat
5
19

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: 196 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 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.

Vitaliy Mykolenko Everton · Premier League · 191 cm / 82 kg
92%
Driven by: final-third threat (16%), receiving zones (14%), progression (12%). Different mechanism — Mykolenko more via territory (wide vs central).
Patrick Mainka Heidenheim · Bundesliga 25/26 · 194 cm / 86 kg
90%
Driven by: final-third threat (15%), progression (13%), through-balls (10%). Different mechanism — Gabriel more via ball-winning, crossing; Mainka more via territory (wide vs central).
Maxence Lacroix Chelsea · Premier League · 190 cm / 88 kg
86%
Driven by: final-third threat (16%), territory (wide vs central) (14%), through-balls (11%). Different mechanism — Lacroix more via carrying, passing directness.
Samuel Yohou Le Mans · Ligue 1 · 190 cm / 88 kg
83%
Driven by: final-third threat (18%), progression (15%), territory (wide vs central) (13%). Different mechanism — Gabriel more via box threat, retention; Yohou more via receiving zones, ball-winning.
Evan Ndicka Roma · 192 cm / 85 kg
83%
Driven by: progression (12%), creativity (12%), line-breaking (11%). Different mechanism — Ndicka more via final-third threat, transition.
Luka Lochoshvili Koln · Bundesliga · 191 cm / 84 kg
82%
Driven by: receiving zones (14%), final-third threat (14%), line-breaking (11%). Different mechanism — Lochoshvili more via build-up, carrying.
20

Summary

Tiago Gabriel is a stopper centre-back: 94% pass completion, 12 line-breaking passes and 3.4 progressive passes /90. A build-and-progress centre-back whose value is in beating the first line with the pass, not in raw defensive volume. [Aerial duels, marking, line-height and 1v1 recovery need aerial-event + tracking data, absent here.]

Based on 7 matches (503 minutes) — an early read, treat with caution until more minutes are logged. He profiles as a stopper centre-back — best used in a system built around that identity. His biggest room for growth is transition — even a modest improvement there would meaningfully lift his overall stopper centre-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.

Vision AI · building report