Tobias Salquist

31 yrs · Centre-back · Denmark
FC Nordsjaelland · Superliga · Foot: both · Height: 190 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€500k
Updated 7 days ago
Estimated acquisition
€136k – €534k
Estimated · 20–80% range
Model value
€283k – €1.1M
Performance-implied · estimated
Projected (24m)
€265k – €498k
Resale range · estimated
Potential value gap
-€251k – €949k
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€136k – €534k
Model value (performance-implied)€283k – €1.1M
Projected value (24 months)€265k – €498k
Dashed line: current market value (€500k). Bars are 20–80% model ranges; tick = median.

The model rates Tobias Salquist's performance-implied value at EUR 0.3M-1.1M, above the estimated acquisition range of EUR 0.1M-0.5M. Its 24-month market value projection is EUR 0.3M-0.5M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 69

What drives the score. Not a black box: each component and its level.

PerformanceBelow average25.1th pct among DEF peers (age-neutral)
AgeUnfavorable31.1 years
Acquisition costVery favorableest. €275k vs market €500k
Expected appreciationVery low-34% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.47
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €1.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1538 (78% of available)
Goals + assists / 90
0.06
Context-adjusted G+A / 90
0.06
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
25 (Below average)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
0.47 (rank 12)
Team strength (Elo)
1315
Opponent strength
1268
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€265k – €498k

Historical comparables (8): median 2-year value change -25% (IQR -46% to +4%).

Risk profile

Overall: High

  • ⚠Limited sample: 1538 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Age 31: resale value typically declines.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Historical movers
24 (DEF)
Relative output kept
60%–139%
Held a regular role (900+ min)
71%
Confidence
Medium

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26FC NordsjaellandSuperligaCB19153878%100.060.06126813140.47
2024/25FC NordsjaellandSuperligaCB1131%000.000.04116113410.38
2023/24Silkeborg IFSuperligaCB16136169%000.000.03127212380.48
2022/23Silkeborg IFSuperligaCB20175889%210.150.11130012660.47
2021/22Silkeborg IFSuperligaCB221976100%000.000.03127912310.45
2018/19SK BeverenJupiler Pro LeagueCB536113%000.000.06136812760.65
2017/18Silkeborg IFSuperligaCB15115749%100.080.08129311830.47
2016/17Silkeborg IFSuperligaCB3974%000.000.07126511880.48
2014/15Silkeborg IFSuperligaCB542514%000.000.07135210970.48

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenFC Nordsjaelland330000—
2023/24Oddset PokalenSilkeborg IF327010—
2022/23Oddset PokalenSilkeborg IF436000—
2022/23Uefa Europa League QualifyingSilkeborg IF2180001367
2021/22Oddset PokalenSilkeborg IF218000—
2017/18Oddset PokalenSilkeborg IF660011—
2016/17Oddset PokalenSilkeborg IF19000—

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Tim Breukers
Eredivisie · 2017
30€600k€700kflat
Kevin Mensah
Superliga · 2020
29€650k€400kfell
Joonas Tamm
Premier Liga · 2021
29€500k€800krose
Sergiy Voronin
Premier Liga · 2016
29€500k€250kfell
Martín Montoya
Super League 1 · 2024
33€800k€350kfell
Mitchell Dijks
Eredivisie · 2024
31€850k€850kflat
Björn Kopplin
Superliga · 2020
31€325k€300kflat
Vaclav Prochazka
Super Lig · 2017
33€450k€250kfell

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
3 Jan 2025ChicagoNordsjaelland€270k€800k
31 Jan 2024Silkeborg IFChicago€1.0M€850k
13 Jan 2021Hobro IKSilkeborg IFFree / loan€250k
9 Sept 2020Lillestrøm SKHobro IKFree / loan€300k
8 Jan 2019Waasland-BeverenLillestrøm SKUnknown€300k
1 Jul 2018Silkeborg IFWaasland-BeverenFree / loan€300k
31 Dec 2016FjölnirSilkeborg IFFree / loan€125k
2 Mar 2016Silkeborg IFFjölnirFree / loan€100k
29 Jan 2015Silkeborg U19Silkeborg IFUnknownData unavailable
1 Jul 2012Silkeborg Yth.Silkeborg U19UnknownData unavailable
1 Jul 2011FCM YouthSilkeborg Yth.Free / loanData unavailable

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.