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GKDemo Premier LeagueEngland20 years

Viktor Barros

Granthorpe · #2 · BAR5

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Estimated market value

€2.25m

Model range
€1.24m – €3.27m
Confidence
51%
Season change
+10.2%

Movement

Last matchweek
−1.5%
Last 4 matchweeks
+0.6%
Season to date
+10.2%

Reported in matchweeks, not days — football data arrives by fixture round.

Model estimate, uncalibrated. Values are model estimates on an uncalibrated scale. They are not predictions of a transfer fee and have not been validated against observed fees. Model 0.3.0-uncalibrated.

Valuation drivers

What moves this away from the €4.00m base value

  • Performance−€870k
  • Age+€1.23m
  • League€0
  • Position−€1.00m
  • Availability−€1.11m

Not in this model

  • ContractNo contract expiry data in the feed
  • Market comparablesNo observed transfer fees in the feed

Availability

Read any valuation against this first

Available minutes played33% · 720 of 2160

8 appearances, 8 starts, 16 matchweeks missed.

A player who is not on the pitch drifts down the index without his performance level falling with it, and availability is a direct discount on the valuation above. An unavailable player is not the same thing as a cheap one.

Scenarios

What the model would say under a different set of facts

  • As measured€2.25mbenchmark
  • Performance +10%€2.48m+€225k · +10.0%
  • Performance +20%€2.71m+€451k · +20.0%
  • Performance −10%€2.03m−€225k · −10.0%
  • One year older€2.22m−€38k · −1.7%
  • Fully available€3.25m+€992k · +44.0%
  • Moves to a stronger divisionAlready in the strongest division we rate

These are counterfactuals, not forecasts. Each row is the same model run with one input changed — it says nothing about whether that change is likely. The benchmark is this player’s measured estimate of €2.25m.

Player DNA

Percentile against GKs in the Demo Premier League

  • Shot stopping50
  • Defending56
  • Chance creation70
  • Availability34

Above average chance creation goalkeeper (70th percentile), with above average defending (56th). Availability is the headline risk: 33% of available minutes played.

Generated from the metrics above, not from scouting notes. Ball progression and pressing are absent because the feed carries no progressive passes, carries or pressures.

Valuation history

The performance index the valuation is built on, by matchweek

Viktor Barros index by matchweek

Profile

Per-90 percentiles against GKs

Percentiles as a table
MetricViktor Barros
Saves7th
Goals conceded73rd
Clearances56th
Key passes43rd
Assists43rd
Expected assists70th

Per 90

Rate and percentile among GKs with 270+ minutes

  • Goals0.00
  • Assists0.00
  • Shots0.0
  • Shots on target0.0
  • Key passes0.0
  • Expected goals0.00
  • Expected assists0.01
  • Tackles0.0
  • Interceptions0.0
  • Clearances1.0
  • Saves2.9
  • Goals conceded0.9

Finishing

Goals against the quality of the chances they came from, running total

Viktor Barros cumulative goals minus expected goals
−0.0−0.0−0.0−0.0−0.00.0Matchweek

Scoring 0.01 goals fewer than his chances were worth — the chances are being created.

Comparable players

Closest percentile profiles among the same position

Compare →
PlayerSimilarityValueAgeAlike on
Zeki ZielinskiRookwood89%€604k29goals, assists
Finn GrimaldiCalderbrook88%€9.03m27goals, assists
Kai BrennanNorthfleet86%€579k19goals, assists
Bruno OkaforRookwood83%€21.7m18goals, assists
Rafael JokinenIlkeston Park82%€15.6m20goals, assists
Kai ChevalierOakhurst82%€6.97m33goals, assists

Match log

8 appearances this season

Match-by-match statistics, most recent first
MWDateOpponentMinSvGCClrKPAxA
2316 Janv ThornesideW 41905.01.02.00.000.00
229 Janv RookwoodL 03904.03.01.00.000.00
2026 Decv NorthfleetL 12902.02.00.00.000.00
1521 Novv Deepdale ValeW 30901.00.01.00.000.01
1124 Octv OakhurstW 10902.00.01.00.000.01
1017 Octv Marsden CrossD 00903.00.02.00.000.01
910 Octv KelsfordD 11904.01.00.00.000.00
329 Augat RookwoodW 10902.00.01.00.000.01

Data

Last fixture
16 Jan
Matchweeks covered
24
Model
0.3.0-uncalibrated

Comparable transfers and contract situation are not shown, because the feed carries no transfer fees and no contract expiry dates. See methodology for what the model can and cannot see.