Robin Østrøm

24 yrs · Centre-back (also CM, LB, RB) · Norway
Silkeborg IF · Superliga · Foot: right · Height: 188 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 31 Dec 2028
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€785k – €2.8M
Estimated · 20–80% range
Model value
€468k – €1.5M
Performance-implied · estimated
Projected (24m)
€1.1M – €3.7M
Resale range · estimated
Potential value gap
-€2.3M – €688k
Model value − acquisition

Value picture

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

Estimated acquisition€785k – €2.8M
Model value (performance-implied)€468k – €1.5M
Projected value (24 months)€1.1M – €3.7M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Robin Østrøm's performance-implied value at EUR 0.5M-1.5M, below the estimated acquisition range of EUR 0.8M-2.8M. Its 24-month market value projection is EUR 1.1M-3.7M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 83

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

PerformanceBelow average12.9th pct among DEF peers (age-neutral)
AgeFavorable23.9 years
Acquisition costFavorableest. €1.5M vs market €2.0M
Expected appreciationNeutral+4% over ~2 years (model)
Value gapVery negativeweak 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: €2.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1772 (90% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.03
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
13 (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)
1213
Opponent strength
1272
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€1.1M – €3.7M

Trajectory drivers: minutes share up 21 pts; league level up (+45 Elo); relative output down 57% vs positional peers.

Historical comparables (8): median 2-year value change -27% (IQR -48% to -17%).

Risk profile

Overall: High

  • ⚠Limited sample: 1772 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠Projection range wider than for most evaluated players.
  • ⚠Declining trajectory versus previous season.
  • ⓘ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.
2025/26Silkeborg IFSuperligaCB21177289%000.000.03127212130.47
2024/25Silkeborg IFSuperligaCB21135468%010.070.06132012640.38
2023/24Silkeborg IFSuperligaLB1498250%020.180.16134612380.48
2022/23Silkeborg IFSuperligaRB319410%000.000.08122612660.47
2022/23Odense BoldklubSuperligaCM1714%101.270.42130512400.47
2021/22Odense BoldklubSuperligaRB1056028%000.000.06130012180.45
2020/21Odense BoldklubSuperligaRB530115%000.000.08123512520.43
2019/20Odense BoldklubSuperligaRB110%000.000.11115612640.41

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Conference League QualifyingSilkeborg IF3287001368
2025/26Oddset PokalenSilkeborg IF327001—
2024/25Oddset PokalenSilkeborg IF533600—
2024/25Uefa Conference League QualifyingSilkeborg IF2167001444
2024/25Uefa Europa League QualifyingSilkeborg IF239001536
2023/24Oddset PokalenSilkeborg IF416300—
2022/23Oddset PokalenSilkeborg IF621600—
2021/22Oddset PokalenOdense Boldklub49400—
2020/21Oddset PokalenOdense Boldklub418100—
2019/20Oddset PokalenBoldklubben af 189319000—

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
Sheldon Bateau
Jupiler Pro League · 2014
23€1.5M€750kfell
Montassar Talbi
Premier Liga · 2022
24€1.2M€7.0Mrose
Nihad Mujakic
Super Lig · 2023
25€1.4M€1.0Mfell
Yaya Banana
Super League 1 · 2015
24€1.0M€750kfell
Sebastian Hausner
Superliga · 2022
22€1.0M€500kfell
Mats Knoester
Eredivisie · 2022
24€900k€1.0Mflat
Loret Sadiku
Super Lig · 2016
25€2.4M€1.3Mfell
Cédric D'Ulivo
Jupiler Pro League · 2014
25€800k€600kfell

Transfer history

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

DateFromToFeeMV at time
23 Aug 2022Odense BKSilkeborg IF€200k€350k
1 Jul 2021Odense BK U19Odense BKUnknown€400k
31 Jan 2020B.93Odense BK U19UnknownData unavailable
1 Jan 2020B.93 U19B.93UnknownData unavailable
1 Jan 2019B.93 YouthB.93 U19UnknownData 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.