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MIDDemo Premier LeagueNetherlands21 years

Goran Ardal

Langmere · #15 · ARD8

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Estimated market value

€5.00m

Model range
€2.67m – €7.32m
Confidence
48%
Season change
−11.5%

Movement

Last matchweek
−1.5%
Last 4 matchweeks
+3.0%
Season to date
−11.5%

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+€1.49m
  • Age+€1.74m
  • League€0
  • Position+€176k
  • Availability−€2.41m

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 played18% · 393 of 2160

7 appearances, 3 starts, 17 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€5.00mbenchmark
  • Performance +10%€5.50m+€500k · +10.0%
  • Performance +20%€6.00m+€999k · +20.0%
  • Performance −10%€4.50m−€500k · −10.0%
  • One year older€4.91m−€85k · −1.7%
  • Fully available€8.56m+€3.57m · +71.4%
  • 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 €5.00m.

Player DNA

Percentile against MIDs in the Demo Premier League

  • Goal threat98
  • Chance creation24
  • Finishing30
  • Defending11
  • Availability13

Elite goal threat midfielder (98th percentile). Defending is the clear gap at the 11th percentile. Availability is the headline risk: 18% 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

Goran Ardal index by matchweek

Profile

Per-90 percentiles against MIDs

Percentiles as a table
MetricGoran Ardal
Key passes35th
Expected assists30th
Expected goals97th
Goals97th
Tackles0th
Interceptions36th

Per 90

Rate and percentile among MIDs with 270+ minutes

  • Goals0.46
  • Assists0.00
  • Shots2.3
  • Shots on target0.9
  • Key passes0.7
  • Expected goals0.47
  • Expected assists0.03
  • Tackles0.5
  • Interceptions0.9
  • Clearances1.6

Finishing

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

Goran Ardal cumulative goals minus expected goals
−0.0−0.00.0Matchweek

Scoring 0.04 goals fewer than his chances were worth — the chances are being created.

Comparable players

Closest percentile profiles among the same position

Compare →
PlayerSimilarityValueAgeAlike on
Wilson ZielinskiNorthfleet86%€24.9m24assists, goals
Lucas OkaforBrackenford81%€12.1m21assists, clearances
Hugo EkstromIlkeston Park80%€51.5m21expected goals, goals
Rafael EkstromGranthorpe78%€274k32assists, shots
Pedro EriksenOakhurst77%€10.8m28assists, goals
Kai XimenesFallowfield76%€4.16m20assists, clearances

Match log

7 appearances this season

Match-by-match statistics, most recent first
MWDateOpponentMinGAShSoTxGxAKPTklIntClr
2316 Janat OakhurstW 3133102.01.00.990.000.00.00.00.0
212 Janat KelsfordL 0230001.00.00.010.020.00.00.01.0
1812 Decat EastmarshW 2030000.00.00.010.020.00.00.00.0
175 Decat CalderbrookD 1164002.01.00.010.041.01.01.02.0
1414 Novat PendleburyW 2090002.00.00.020.061.01.00.01.0
137 Novat NorthfleetW 2156001.00.00.010.010.00.01.01.0
1231 Octat AshcombeW 3090102.02.00.990.001.00.02.02.0

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.