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MIDDemo Premier LeagueNigeria33 years

Andre Salvatore

Quarrydale · #13 · SAL7

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Estimated market value

€226k

Model range
€104k – €347k
Confidence
35%
Season change
−17.7%

Movement

Last matchweek
−1.5%
Last 4 matchweeks
−5.9%
Season to date
−17.7%

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−€1.75m
  • Age−€1.34m
  • League€0
  • Position+€52k
  • Availability−€733k

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 played17% · 360 of 2160

4 appearances, 4 starts, 20 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€226kbenchmark
  • Performance +10%€248k+€23k · +10.0%
  • Performance +20%€271k+€45k · +20.0%
  • Performance −10%€203k−€23k · −10.0%
  • One year older€176k−€50k · −22.2%
  • Fully available€395k+€169k · +74.8%
  • 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 €226k.

Player DNA

Percentile against MIDs in the Demo Premier League

  • Goal threat96
  • Chance creation51
  • Finishing4
  • Defending78
  • Availability8

Elite goal threat midfielder (96th percentile), with strong defending (78th). Finishing is the clear gap at the 4th percentile. Availability is the headline risk: 17% 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

Andre Salvatore index by matchweek

Profile

Per-90 percentiles against MIDs

Percentiles as a table
MetricAndre Salvatore
Key passes94th
Expected assists32nd
Expected goals96th
Goals79th
Tackles93rd
Interceptions49th

Per 90

Rate and percentile among MIDs with 270+ minutes

  • Goals0.25
  • Assists0.00
  • Shots2.3
  • Shots on target0.8
  • Key passes1.3
  • Expected goals0.34
  • Expected assists0.04
  • Tackles2.0
  • Interceptions1.0
  • Clearances1.5

Finishing

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

Andre Salvatore cumulative goals minus expected goals
−0.3−0.2−0.10.0Matchweek

Scoring 0.36 goals fewer than his chances were worth — the chances are being created.

Comparable players

Closest percentile profiles among the same position

Compare →
PlayerSimilarityValueAgeAlike on
Kai XimenesFallowfield79%€4.16m20assists, expected assists
Andre EkstromLangmere77%€1.25m26shots on target, tackles
Wilson ChevalierLangmere77%€13.7m23assists, interceptions
Tomas NakamuraMarsden Cross76%€8.48m32assists, goals
Rafael EkstromGranthorpe75%€274k32assists, shots
Caleb LindqvistIlkeston Park74%€5.01m30goals, shots on target

Match log

4 appearances this season

Match-by-match statistics, most recent first
MWDateOpponentMinGAShSoTxGxAKPTklIntClr
2026 Decv Deepdale ValeD 2290002.01.00.010.071.02.02.01.0
137 Novat Ilkeston ParkW 1090002.00.00.030.002.02.00.01.0
1017 Octat CalderbrookW 1090001.00.00.030.021.03.01.02.0
115 Augat Deepdale ValeW 2090104.02.01.290.051.01.01.02.0

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.