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GKDemo Premier LeaguePortugal27 years

Omar Zielinski

Ashcombe · #2 · ZIEL

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Estimated market value

€772k

Model range
€395k – €1.15m
Confidence
44%
Season change
+2.5%

Movement

Last matchweek
−1.5%
Last 4 matchweeks
−5.9%
Season to date
+2.5%

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−€1.87m
  • Age€0
  • League€0
  • Position−€644k
  • Availability−€715k

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€772kbenchmark
  • Performance +10%€849k+€77k · +10.0%
  • Performance +20%€926k+€154k · +20.0%
  • Performance −10%€694k−€77k · −10.0%
  • One year older€702k−€69k · −9.0%
  • Fully available€1.11m+€340k · +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 €772k.

Player DNA

Percentile against GKs in the Demo Premier League

  • Shot stopping44
  • Defending16
  • Chance creation31
  • Availability34

Well-rounded goalkeeper without a standout axis in this data — no category clears the 44th percentile among positional peers. 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

Omar Zielinski index by matchweek

Profile

Per-90 percentiles against GKs

Percentiles as a table
MetricOmar Zielinski
Saves63rd
Goals conceded47th
Clearances16th
Key passes43rd
Assists43rd
Expected assists31st

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 assists0.00
  • Tackles0.0
  • Interceptions0.0
  • Clearances0.9
  • Saves4.0
  • Goals conceded1.3

Finishing

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

Omar Zielinski cumulative goals minus expected goals
−0.1−0.10.0+0.1+0.1Matchweek

Scoring 0.00 goals more than his chances were worth. Finishing runs like this historically revert.

Comparable players

Closest percentile profiles among the same position

Compare →
PlayerSimilarityValueAgeAlike on
Pedro IbarraJarrowgate94%€2.51m21goals, assists
Pedro ZielinskiKelsford92%€22.7m18goals, assists
Pedro ToureenStanmoor91%€20.8m30goals, assists
Rafael FontaineGranthorpe90%€6.53m24goals, assists
Rafael ToureenEastmarsh89%€17.2m20goals, assists
Pedro WhitlockHollinwell89%€5.53m23goals, assists

Match log

8 appearances this season

Match-by-match statistics, most recent first
MWDateOpponentMinSvGCClrKPAxA
2026 Decv ThornesideL 03907.03.01.00.000.00
1628 Novv PendleburyW 10900.00.01.00.000.00
1521 Novat OakhurstL 02906.02.00.00.000.00
910 Octat Ilkeston ParkD 11905.01.01.00.000.00
83 Octv HollinwellL 02905.02.02.00.000.00
619 Septv FallowfieldL 01904.01.00.00.000.00
512 Septat EastmarshD 00903.00.01.00.000.00
222 Augv BrackenfordW 21902.01.01.00.000.00

Data

Last fixture
26 Dec
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.