vs Monza
· Serie A
90' · 1G · 0A
Across 3,220 published minutes for Lecce in Serie A during 2025/26, Tiago Gabriel currently reads as an aerially active centre-back. The three numbers to note are aerial-win output at 3.47 per 90 (89th percentile), duel win rate at 67.2% (91st percentile) and clearance output at 6.79 per 90 (84th percentile). He is involved defensively, but involvement is not the same as control. The next check is how often his positioning prevents the action altogether.
Lecce · Serie A · 2025/26. Current registration and the team behind the published statistics are shown separately.
Leading signal 1
Aerial wins per 90
89th
Leading signal 2
Duel win rate
91st
Leading signal 3
Clearances per 90
84th
Context flag
No clear role-critical concern in the published sample
Video review remains essential.
Comparable evidence through 2026-07-18
Latest performance update
The first aggregate read on Tiago Gabriel's new campaign, kept separate from the completed-season evidence used elsewhere on this profile.
Printed rate first · percentile where available
xG per 90
0.45 /90
69th percentile
Non-penalty xG per 90
0.45 /90
69th percentile
xA per 90
0.00 /90
35th percentile
Shots per 90
0.74 /90
54th percentile
Key passes per 90
0.00 /90
35th percentile
xG chain per 90
0.30 /90
47th percentile
xG buildup per 90
0.30 /90
52nd percentile
Current-season match rows that reconcile to the aggregate sample.
Newest first · opponent context pending
vs Monza
· Serie A
90' · 1G · 0A
vs Cagliari
· Serie A
90' · 0G · 0A
vs Roma
· Serie A
49' · 0G · 0A
vs Venezia
· Serie A
14' · 1G · 0A
Shot map
Actual shot locations, attacking from left to right. Dot size follows xG; this is a shot map, not a touch heatmap.
Location evidence through 2026-10-10
Early-season aggregate only. It does not change the published Wonderkid Score or board rank.
Data source: Understat; parsed with soccerdata.
Visual analysis · 01
The canonical five-axis role shape shows the published percentiles; peer bands add selected advanced values and reviewed role-cohort evidence.
Visual analysis · 02
Visual analysis · 03
Nearby public percentile profiles provide a starting point for comparison, not a claim of equal quality or upside.
Visual analysis · 04
A transparent baseline now, with verified change over time only when comparable future releases exist.
Deep evidence
Metric tables, market context, career records, coverage notes and interpretation guidance remain available without competing with the scouting conclusions above.
Published performance sample: Lecce · Serie A · 2025/26. The club in the profile header is the separately reviewed current registration.
Scout estimate
~€17m
€10–24m tierRounded Wonderkid Scout estimate · as of 2026-10-10
Likely-sale range
Not calibrated
The likely-sale range is our dated estimate—not a reported asking price or guaranteed transaction value.
Market evidence
No dated anchor
A range will appear only after player-specific evidence is reviewed.
The estimate is informed by dated player-specific market or fee evidence, reviewed comparables, and current football evidence. It is not a quoted fee or asking price.
Market reference universe: the reviewed Transfermarkt public U23 market-value table. Chart source: dcaribou/transfermarkt-datasets (CC0 1.0; Transfermarkt-derived). Historical observations are not current asking prices.
2025-01-28 · Permanent · €1.3M
2024-07-01 · Permanent · Fee not reported
2023-07-01 · Permanent · Fee not reported
2021-07-01 · Permanent · Fee not reported
2020-07-01 · Permanent · Fee not reported
2019-07-01 · Permanent · Fee not reported
2017-07-01 · Permanent · Fee not reported
Source: salimt/football-datasets (Transfermarkt-derived).
Recorded moves may not form a complete career chain. The current club shown above is reviewed separately.
vs Genoa CFC
2026-05-24 · Serie A · Started
90'
0G · 0A
vs US Sassuolo
2026-05-17 · Serie A · Started
90'
0G · 0A
vs Juventus FC
2026-05-09 · Serie A · Started
90'
0G · 0A
vs Pisa Sporting Club
2026-05-01 · Serie A · Started
90'
0G · 0A
vs ACF Fiorentina
2026-04-20 · Serie A · Started
90'
1G · 0A
vs Bologna Football Club 1909
2026-04-12 · Serie A · Started
90'
0G · 0A
vs Atalanta BC
2026-04-06 · Serie A · Started
90'
0G · 0A
vs Associazione Sportiva Roma
2026-03-22 · Serie A · Started
90'
0G · 0A
vs SSC Napoli
2026-03-14 · Serie A · Started
90'
0G · 0A
vs US Cremonese
2026-03-08 · Serie A · Started
90'
0G · 0A
Ages are shown only in whole years. Exact birth dates are not published for any player. Under-18 profiles do not display portraits, physical details, or detailed history.
Wonderkid Score
A position-aware discovery score informed by performance, age, playing time and competition context. It prioritizes search and comparison; it is not a career prediction.
Percentiles and scout prompts
Percentiles compare current published role evidence. Low involvement is not automatically a weakness; tactics, opponent quality, sample size and video context still matter.
Versioned release
This score is bound to release global-top-250-2026-10-10. A public “what moved” explanation will appear only after a second comparable score, minutes and role snapshot exists.
Youth age context
Verified private cohort windows can be retained as coarse validation bands. The current release does not apply a relative-age score correction. Exact birth dates are never published, and unavailable context is never inferred.
Detailed model weights, internal provider identifiers and raw source payloads are not part of the public profile. Unavailable athletic-tracking, off-ball, contract and event-location evidence is omitted rather than estimated.
Athletic tracking
Top speed, acceleration, repeat sprinting and contact tolerance require consistent tracking or testing data.
Off-ball intelligence
Movement, scanning, space creation and pressure behaviour require observed location data or reviewed video.
Scout projection
Ceiling, tactical fit and development priorities require a verified human scouting report and longitudinal evidence.
Spatial evidence
Action maps require verified player-linked event coordinates. Territory, off-ball movement and physical maps require tracking data and are never estimated from totals.