LATENT
ReportPlayer Report
ReferenceLTN-26-1835892
Data through15 Aug 2026
Sample · not a commissioned report

Isaque

ClubShakhtar Donetsk
PositionMidfielder
Age19
Height172 cm
NationalityBrazil
The verdict

Complete attacking midfielder · ready for a league above the Ukrainian Premier League · €1.3m–€3.25m

Isaque is a 19-year-old midfielder at Shakhtar Donetsk. His statistical profile reads as a complete attacking midfielder. In 25/26: 24 appearances, used mainly from the bench.

His Level of 969 is well above the average for an Ukrainian Premier League midfielder. On that gap he is ready for a league above the Ukrainian Premier League. That reading has 574′ of UEFA Conference League football behind it, not league data alone, though his goal output on those nights ran below his league numbers.

He should cost €1.3m–€3.25m, a band drawn from 8 comparable transfers, against a recorded market value of €1m. His output alone prices lower (€592k); the band is what buyers actually paid for the closest comparable profiles, which is the price a selling club can hold.

The strongest thing in the file is shot conversion: 98th percentile among 169 midfielders in the Ukrainian Premier League, 25/26. The weakest is ball recoveries, 45th in the same group.

Career development

Transfermarkt

No completed outgoing transfer on record: his Transfermarkt history shows no move away from a club to date.

Latent Level vs league

SofaScore event data

The Latent Level is one number comparable across our seven leagues: a performance composite, adjusted for opponent strength within the league and for the league's own strength - calibrated on how players from each league actually fared after moving, not on reputation. It is an index, not a percentile or a percentage, and cohort averages differ by competition - so it is only readable next to the positional average printed beside it.

Latent Level
969
444 above the positional average
Positional average
525
the average UPL midfielder, 25/26
Method
level-v1.1
1 season of Level history

His Level of 969 is well above the average for an Ukrainian Premier League midfielder. That average is drawn from 169 midfielders who played at least 270 minutes in the Ukrainian Premier League in the 2025/26 season.

Validation

Higher-Level players have sold for higher fees: rank correlation +0.28 across 223 sales abroad with a disclosed fee. The Level is a weak guide to playing time after a move: 36% of top-quartile players got at least 15 full matches of league football in a season at their new club, against 29% from the bottom quartile.

The full backtest, with sample sizes, correlations and quartile hit rates, is printed in the Stated limits & methodology section at the end of this report.

Current season: Ukrainian Premier League 26/27

Raw numbers only: 27 minutes, 1 match (0 starts), 0 goals, 0 assists.

Sample too small to rank. Percentiles are published only once a player passes 270 minutes in a season; nothing below that gate is ranked anywhere in this report. His full ranked profile, from his last complete season, follows.

Every percentile below ranks Isaque within the group of 169 midfielders who played at least 270 minutes in the Ukrainian Premier League in the 2025/26 season - his last complete season with a sample big enough to rank. He is compared only with players from his own league, season and position, never across leagues or divisions.

Sample
1,105
24 matches, 8 starts
Peer group
169
midfielders with 270+ minutes, UPL 25/26
Goals + assists
5+5
one every 110′

A percentile places him inside the peer group named above: 80 means he ranks above 80 percent of that group on the metric, and 50 is the middle of the pack. Sky bars mark clear strengths (70 or higher), dark bars clear weaknesses (30 or lower); the faded bars sit in between. Grey bars count volume - how much of something he does, not how well - so a longer grey bar is not automatically better. “—” means no rank is published for that metric: the sample behind it is too small, or the metric is covered for only part of the season, so a percentile would mislead. “not recorded” means the competition does not collect that stat.

Goalsclear strength in this group
0.41 /90
96
Assistsclear strength in this group
0.41 /90
97
Shots
1.38 /90
48
Shots on targetclear strength in this group
0.65 /90
75
Shot conversionclear strength in this group
29.4%
98
Shot accuracyclear strength in this group
47.1%
89
Key passesclear strength in this group
1.79 /90
93
Progressive carriesnot collected in the UPL
not recorded
Pass accuracyclear strength in this group
86.2%
93
Ball recoveries
5.13 /90
45
Touchesvolume: how much, not how well
63.37 /90
94
Duels contestedvolume: how much, not how well
15.15 /90
62
Duel win rateclear strength in this group
44.6%
84
SeasonClubLeagueMinGoals/90Assists/90Shots/90KP/90Pass %Duel win %
25/26Shakhtar DonetskUPL (tier 1)1,1050.410.411.381.7986.2%44.6%
26/27Shakhtar DonetskUPL (tier 1)2794.1%50.0%

“—” = rate not computed: the sample is below the minutes threshold for that season. It is withheld rather than shown as zero.

Transfer analysis

Destination shortlist

SSC Napoli · ITA · Italy

The gap. MF group is 8 deep against a league median of 10, averages 28.5 years to his 19, 3 contracts up by Jun 2027.

Why it is realistic. A step up in club level (SSC Napoli squad averages €12.9m a player vs €3.4m at his current club), and 9 Ukraine to Italy moves already on record.

The cost. Comparable moves went for €575k–€9.5m (from 4 paid transfers into Italy).

Villarreal CF · ESP · Spain

The gap. MF group is 4 deep against a league median of 7, averages 23.5 years to his 19.

Why it is realistic. A step up in club level (Villarreal CF squad averages €12.9m a player vs €3.4m at his current club), and 24 Ukraine to Spain moves already on record.

The cost. Comparable moves went for €1.6m–€8.1m (from 7 paid transfers into Spain).

ACF Fiorentina · ITA · Italy

The gap. MF group is 8 deep against a league median of 10, averages 24.9 years to his 19, 1 contract up by Jun 2027.

Why it is realistic. A step up in club level (ACF Fiorentina squad averages €11.4m a player vs €3.4m at his current club), and 9 Ukraine to Italy moves already on record.

The cost. Comparable moves went for €575k–€9.5m (from 4 paid transfers into Italy).

Bologna FC 1909 · ITA · Italy

The gap. MF group is 6 deep against a league median of 10, averages 25.7 years to his 19, 2 contracts up by Jun 2027.

Why it is realistic. A step up in club level (Bologna FC 1909 squad averages €9.0m a player vs €3.4m at his current club), and 9 Ukraine to Italy moves already on record.

The cost. Comparable moves went for €575k–€9.5m (from 4 paid transfers into Italy).

LOSC Lille · FRA · France

The gap. MF group is 5 deep against a league median of 7, averages 25.8 years to his 19.

Why it is realistic. A step up in club level (LOSC Lille squad averages €10.5m a player vs €3.4m at his current club), and 13 Ukraine to France moves already on record.

The cost. Comparable moves went for €850k–€2.5m (from 5 paid transfers into France); most corridor moves were free transfers.

AS Monaco · FRA · France

The gap. MF group of 8, averages 24.6 years to his 19, 1 contract up by Jun 2027.

Why it is realistic. A step up in club level (AS Monaco squad averages €11.8m a player vs €3.4m at his current club), and 13 Ukraine to France moves already on record.

The cost. Comparable moves went for €850k–€2.5m (from 5 paid transfers into France); most corridor moves were free transfers.

Ipswich Town · ENG · England

The gap. MF group of 8, averages 26.1 years to his 19, 1 contract up by Jun 2027.

Why it is realistic. A step up in club level (Ipswich Town squad averages €11.9m a player vs €3.4m at his current club), and 10 Ukraine to England moves already on record.

The cost. Comparable moves went for €13.0m–€49.5m (from 7 paid transfers into England).

Galatasaray · TUR · Türkiye

The gap. MF group of 8, averages 26.4 years to his 19, 3 contracts up by Jun 2027.

Why it is realistic. A step up in club level (Galatasaray squad averages €9.0m a player vs €3.4m at his current club), and 38 Ukraine to Türkiye moves already on record.

The cost. Comparable moves went for €1.1m–€5.0m (from 6 paid transfers into Türkiye); most corridor moves were free transfers.

Each card's cost line is what completed moves on that route have gone for - it prices the route, not the player. The recommended range for Isaque himself is €1.3m–€3.25m, from his closest comparable transfers (Valuation & comps). Where a route's band sits above it, that is the destination market's price level, not a higher valuation of him.

Style profile & similar players

Style engine

Isaque is a Complete attacking midfielder. Below: his nearest statistical neighbours side by side, then the ones who earned a move and what it cost.

Archetype
Complete attacking midfielder
conversion 98th · assists 97th · goals 96th
Similar players
10
nearest neighbours, same league + position
With a completed move
10
each move and fee below

Style vector

goalsshot volumeshots on targetconversionshot accuracyassistskey passestoucheslong ballspass accuracyrecoveriesclearancesduel volumeduel win rate
ShootingPassing & creationDefensive work

Axes are percentiles among 169 midfielders in Ukrainian Premier League 25/26. Related metrics sit on the same arc, so the shape reads as a style: it describes how he plays, not how good he is.

Nearest statistical neighbours

PlayerClubconversiongoalsassiststouchesduel win rateduel volumeSimilarity
IsaqueShakhtar Donetsk989697948462
Oleksiy GutsulyakPolissya Zhytomyr92968991729383
Artem BondarenkoShakhtar Donetsk72797790812382
Carlos RojasFC Epicentr Dunaivtsi939166847410082
Vladyslav VeletenPolissya Zhytomyr91859881888582
Maksym BragaruPolissya Zhytomyr68847970876082
Denys AntiukhFC Kharkiv81768468796081
Lucas FerreiraShakhtar Donetsk75897667676581
PedrinhoShakhtar Donetsk80939597681981
Nazar VoloshynDynamo Kyiv61809380613680
GeovaneFC Epicentr Dunaivtsi70702081936979

Similarity is 0–100, computed from the full percentile vector shown above, within league and position. The stat columns are his most defining axes, two per category, as percentiles on the same scope as the radar. Method: comps v2.0 (2026-08-15).

Similar players who moved

PlayerMoved toSeasonFeeSeason before the moveSimilarityBiggest gap vs Isaque
Vladyslav VeletenPolissya, Ukraine2025€430k23 y · 982′ · 3 G 5 A82pass accuracy 19 vs 93
Maksym BragaruPolissya, Ukraine2026€1.80m23 y · 1,640′ · 5 G 3 A82shot volume 91 vs 48
Denys AntiukhMetalist 1925, Ukraine2025free transfer28 y · 1,864′ · 4 G 4 A81pass accuracy 22 vs 93
Tomer YosefiB. Jerusalem, Israel2026free transfer26 y · 314′ · 2 G 1 A76pass accuracy 13 vs 93
JotaGuimarães B, Portugal2026free transfer23 y · 606′ · 2 G 1 A76pass accuracy 18 vs 93
Oleksandr KozakFC Oleksandriya, Ukraine2026free transfer31 y · 2,209′ · 4 G 1 A75long balls 64 vs 4
Gleiker MendozaShakhtar D., Ukraine2026€3.00m24 y · 2,143′ · 11 G 8 A74pass accuracy 4 vs 93
Tedi CaraLNZ Cherkasy, Ukraine2026€400k25 y · 2,216′ · 6 G 3 A74pass accuracy 21 vs 93
Petar MićinSogdiana, Uzbekistan2026free transfer27 y · 1,024′ · 2 G 2 A73long balls 78 vs 4
Maksym TretyakovFC Oleksandriya, Ukraine2026free transfer29 y · 1,001′ · 1 G 1 A72pass accuracy 14 vs 93

Every player here profiles close to Isaque and completed a real move on record: the fee is what that profile fetched, and the season column is what he was producing when it happened. Most of these moves stayed inside Ukraine: the table prices domestic demand for the profile; the case for a move abroad rests on the corridor evidence in Transfer analysis.

Form & usage

Match-by-match

How Isaque is trending match by match in the UPL 25/26 - not the season average, but the direction of travel. Each reading is his trailing 10 appearances, a window wide enough to smooth one-game noise while still moving when his level does, with every match weighed by opposition difficulty.

Appearances
24
8 starts, 16 as sub
Start rate
27%
of his club's finished matches
Full 90s
50%
of his starts completed

Usage pattern: used mainly from the bench · 80′ average when starting · 29′ when introduced · 41% of his club's available minutes.

Goals + assists /90

0.720.951.1912-0602-2203-0604-0504-2305-0305-1305-210.72

Shots /90

1.011.842.6712-0602-2203-0604-0504-2305-0305-1305-211.01

Key passes /90

1.242.042.8312-0602-2203-0604-0504-2305-0305-1305-212.03

Duel win rate

37.3%43.4%49.5%12-0602-2203-0604-0504-2305-0305-1305-2149.5%

Ball recoveries /90

4.75.977.2512-0602-2203-0604-0504-2305-0305-1305-214.92

Pass accuracy

81.7%84.3%86.9%12-0602-2203-0604-0504-2305-0305-1305-2185.3%

Trailing rate over the last 10 appearances, every match weighed by opposition difficulty. A gap in a line means the window fell below the minutes gate for that stat - withheld rather than invented, never zero.

DateOpponentResultOpp. difficultyMinGARole
2025-12-14FC Epicentr Dunaivtsi (H)W 5-00.7817′01sub
2026-02-22Karpaty Lviv (H)W 3-01.0039′01sub
2026-02-27NK Veres Rivne (H)W 1-00.7649′00sub
2026-03-06Oleksandria (A)W 1-00.4314′00sub
2026-03-15FC Kharkiv (H)W 1-01.2531′00sub
2026-04-05Rukh Lviv (H)W 3-00.5146′01sub
2026-04-20Polissya Zhytomyr (H)W 1-01.4489′00start
2026-04-23Zoria Luhansk (A)W 2-11.1239′00sub
2026-04-26Kudrivka (A)W 3-10.6975′01start
2026-05-03Dynamo Kyiv (A)W 2-11.3990′00start
2026-05-10SC Poltava (A)W 4-00.3290′20start
2026-05-13Obolon Kyiv (H)W 3-10.7123′01sub
2026-05-17FC Kryvbas Kryvyi Rih (A)W 3-21.1749′00start
2026-05-21Kolos Kovalivka (H)L 0-11.2090′00start

Opposition difficulty is the opponent's points-per-match from our own finished results, 1.0 = league average - a per-match weight, never a league table; “—” = under 5 matches played. Showing the 14 most recent of 24 appearances.

Availability, not injury data

A gap in the match log means his club played without him - that is all our data records. The reason (selection, fitness, registration) is not recorded, and we do not guess at it.

Continental evidence

UEFA club competitions
European matches
12
574′ on the pitch
Competitions
1
UECL
Strongest opponents
Crystal Palace
AZ Alkmaar · Lech Poznań
England · Netherlands · Poland
CompetitionMatchesMinutes
UEFA Conference League12574

League form vs European nights

MetricDomesticContinentalΔ
Touches /9063.3755.03×0.87
Pass accuracy86.4%85.0%-1.4 pp
Duel win rate44.7%46.0%+1.3 pp
Key passes /901.751.57-0.18
Shots /901.351.41+0.06
Goals /900.400.31-0.08
Assists /900.400.16-0.24

Restricted to 25/26 - the seasons covered on both the domestic and continental side, so league form is never set against a different era of his career. Domestic sample 1,132′, continental 574′. “not recorded” = the stat is absent from that side's source, never zero; “—” = no delta because one side is missing.

DateCompetitionOpponentHis club at the timeMinTouches
2026-05-07UECL · SemifinalsCrystal Palace (England)Shakhtar Donetsk45′27
2026-04-30UECL · SemifinalsCrystal Palace (England)Shakhtar Donetsk25′17
2026-04-16UECL · QuarterfinalsAZ Alkmaar (Netherlands)Shakhtar Donetsk61′ (start)23
2026-04-09UECL · QuarterfinalsAZ Alkmaar (Netherlands)Shakhtar Donetsk24′ (start)4
2026-03-19UECL · Round of 16Lech Poznań (Poland)Shakhtar Donetsk28′28
2026-03-12UECL · Round of 16Lech Poznań (Poland)Shakhtar Donetsk15′8
2025-12-18UECLHNK Rijeka (Croatia)Shakhtar Donetsk1′not recorded
2025-12-11UECLĦamrun Spartans FC (Malta)Shakhtar Donetsk90′ (start)49
2025-11-27UECLShamrock Rovers (Ireland)Shakhtar Donetsk90′ (start)60
2025-11-06UECLBreidablik Kópavogur (Iceland)Shakhtar Donetsk90′ (start)75
2025-10-23UECLLegia Warszawa (Poland)Shakhtar Donetsk90′ (start)50
2025-10-02UECLAberdeen (Scotland)Shakhtar Donetsk15′10

Valuation & comps

Value engine

What Isaque should cost, grounded in what comparable players actually cost. His market value is set against a performance model built on his own age and position group (n=1,236); the range below comes from 30 comparable transfers with recorded fees, not from optimism.

Market value
€1m
Transfermarkt estimate
Performance-predicted value
€592k
market value 69% above what his output predicts
Recommended range
€1.3m–€3.25m
IQR of the 8 closest of 30 comps · anchor: market value

These three numbers measure different things, and here the range sits above what his output alone predicts and the market-value estimate. That is not a conflict: the performance model prices output only, while the range is what buyers actually paid for the closest comparable profiles - profiles that, like his, sold on age and trajectory as well as the season's numbers. The range is the price a selling club can hold; the model number is the floor his output alone would justify.

Fee comps

recommended €1.3m–€3.2m€0€5.5m€11m161718192021moved abroadstayed in the marketage at transferfee

Shaded band = the recommended fee range. Filled points moved abroad; hollow points stayed in the same market. Stronger points are closer statistical matches; the closest set the range.

PlayerMoveFeeAgeSeason
Denil CastilloShakhtar Donetsk → Midtjylland€4m202024
Karol BorysSlask Wroclaw → KVC Westerlo€2m172023
Yevgeniy PastukhRukh Lviv → Karpaty Lviv€400k202024
Yegor YarmolyukSC Dnipro-1 → Brentford B€1.5m182022
Mateusz ŁęgowskiPogon Szczecin → Salernitana€3m202023
Filip RózgaCracovia → Sturm Graz€2m182025
Iwo KaczmarskiRaków Częstochowa → Empoli U19€700k182022
Bartosz MazurekJagiellonia Bialystok → Salzburg€6m192026
Dariusz StalmachGórnik Zabrze → Milan U19€700k162022
Adrian PrzyborekPogon Szczecin → Lazio€4.5m192025
Oleg FedorRukh Lviv → Karpaty Lviv€600k212025
Dominik SarapataGórnik Zabrze → Copenhagen€4m172025
Tomasz PieńkoZaglebie Lubin → Raków€1.75m212025
Eldar KuliyevFC Minaj → Zira FC€100k202022
Karol StruskiJagiellonia Bialystok → Aris Limassol€400k212022
Mateusz KowalczykLKS Lodz → Bröndby IF€1.2m192023
Rocco SheinFC Flora Tallinn → Utrecht€300k182022
Wiktor NowakGórnik Zabrze → Slavia Praha€2.4m212026
Mootez ZaddemValmiera FC → Esperance€500k212022
Artem GarzhaBFC Daugavpils → Teplice€150k192026
Samuel ObinayaFC Kharkiv → Jablonec€150k202026
Diego LunaEl Paso Locomotive FC → Salt Lake€227k182021
Jakub MyszorCracovia → Raków€70k212023
Paulius GolubickasDFK Dainava Alytus → HNK Gorica€50k202020
Matthew CorcoranBirmingham Legion FC → Nashville€100k182024
Kevor PalumetsPaide Linnameeskond → Zulte Waregem€100k192022
Fellipe VieiraFK Liepaja → Karpaty Lviv€450k212026
Kacper KozłowskiPogon Szczecin → Brighton€11m182021
Borys KrushynskyiPFC Lviv → Polissya€100k202022
Dion GallapeniWidzew Lodz → Wisla Plock€800k212026

Comps are completed transfers scored for closeness on age at the move, position, minutes load, output, the level of both leagues and recency; fees are as recorded, never asking prices. The recommended range is set by the closest matches, not the full spread plotted above: read it as what the market has recently paid for this profile. Method: comps v2.0 (2026-08-15).

Stated limits & methodology

How to read this report

Every number in this report is computed from sources we name, under rules we publish, with its gaps stated. What follows is the full list of methods and limits - including the things this report deliberately does not claim.

  • Percentiles. Computed within one league, one season, one position group, mid-rank with ties split. Published only when at least 10 players clear the minutes gate in that peer group (270′ in our top-flight coverage, 450′ in second-tier feeder coverage) - below that the percentile is withheld, never guessed. The peer-group n is printed beside every percentile in this report.
  • Missing is never zero. A metric a competition does not collect renders as “not recorded”; a rate whose sample is below the minutes gate renders as “—”. Neither is ever shown as zero, and no number in this report is imputed.
  • Cross-league comparisons. Raw percentiles are never compared across leagues or tiers. The only cross-league number we publish is the Latent Level, which is corridor-calibrated and backtested against post-move outcomes before it appears in any report.
  • Export Index. A composite score, not a percentile: an average of five outfield percentile components with a U-21 multiplier, so it can exceed 100. Goalkeepers carry no Export Index - it contains no goalkeeping.
  • Transfer history. From our own Transfermarkt-sourced transfer record. Where identity is matched by name rather than a verified ID, the report says so and does not present the history as fact.

The Latent Level backtest, in full

Section 2 states this as one claim; these are the complete figures behind it.

Backtested level-v1.1 on 522 abroad moves out of the seven covered leagues with a pre-move Level and Transfermarkt post-move league minutes (best of first two destination seasons, nominal 2700 min). Spearman(Level, minutes retention) = +0.069 raw; -0.013 against the retention residual once destination difficulty, loan status and age are accounted for (within-league composite alone: -0.024). 'Stuck' = >=1350 league minutes: top Level quartile 36% vs bottom quartile 29%. On step-up moves only (destination fitted stronger than origin): top-quartile 25% (n=83) vs bottom-quartile 25% (n=110). Identity join is by normalized name + birth-year (6 ambiguous names dropped); minutes retention is an availability-inclusive outcome - injuries count as failures. Secondary receipt: on 223 permanent exports with a disclosed fee, Spearman(pre-move Level, fee paid) = +0.278.

Level quartileLevel rangeMovesHitsHit rate
Q1 (lowest Level)101–4401323828.8%
Q2440–5871294232.6%
Q3587–7631304030.8%
Q4 (highest Level)763–13591314735.9%

A hit is at least 1,350 league minutes - fifteen full matches - in the player's best of his first two seasons at the destination club.

Not collected for these leagues

No provider records these for our coverage. This report will never claim them.

Event-location data. No xG, no heatmaps, no pass maps. Our sources do not carry ball coordinates for these leagues, and we do not model or fake them.

Physical data. No sprints, distances or top speeds. No source collects them for these leagues; any physical claim would be invented.

Not yet in our data

These exist at sources we already draw from but are not yet ingested. They are coverage gaps we intend to close; until then the report treats them as absent rather than guessing.

Contract terms. Contract-expiry dates exist at source but are not yet in our databases, so no figure in this report leans on contract length.

Injury and absence reasons. A gap in the match log means he was not on the pitch, and that is all it means - our data does not yet separate injury from non-selection.

Ball-carry coverage. The provider collects carry metrics for a minority of our competitions today. They appear only where a season's coverage is complete.

His coverage in our data

CompetitionTierSeasonSource
Ukrainian Premier League125/26per-match event data
Ukrainian Premier League126/27per-match event data
Caveats specific to this player

No completed outgoing transfer - verified against Transfermarkt directly, not a matching gap.

Not recorded in at least one of his competitions: progressive carries

Sources: SofaScore (per-match), Transfermarkt (market & transfers). Generated 2026-08-15. Questions about any figure in this report are welcome - every one is reproducible from the stated method.