Tobias Mohr

31 yrs · Left midfielder (also LB) · Germany
Standard Liège · Jupiler Pro League · Foot: left · Height: 182 cm
Risk: ModerateConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2028
Market value
€800k
Updated 6 days ago
Estimated acquisition
€247k – €858k
Estimated · 20–80% range
Model value
€513k – €1.4M
Performance-implied · estimated
Projected (24m)
€284k – €673k
Resale range · estimated
Potential value gap
-€346k – €1.2M
Model value − acquisition

Value picture

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

Estimated acquisition€247k – €858k
Model value (performance-implied)€513k – €1.4M
Projected value (24 months)€284k – €673k
Dashed line: current market value (€800k). Bars are 20–80% model ranges; tick = median.

The model rates Tobias Mohr's performance-implied value at EUR 0.5M-1.4M, above the estimated acquisition range of EUR 0.2M-0.9M. Its 24-month market value projection is EUR 0.3M-0.7M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 29

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

PerformanceAverage36.4th pct among DEF peers (age-neutral)
AgeUnfavorable30.9 years
Acquisition costFavorableest. €537k vs market €800k
Expected appreciationVery low-43% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.65
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €1.8M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
2078 (77% of available)
Goals + assists / 90
0.13
Context-adjusted G+A / 90
0.14
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
36 (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
0.65 (rank 6)
Team strength (Elo)
1341
Opponent strength
1382
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)
€284k – €673k

Historical comparables (8): median 2-year value change -35% (IQR -50% to -26%).

Risk profile

Overall: Moderate

  • ⚠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
76 (DEF)
Relative output kept
67%–160%
Held a regular role (900+ min)
76%
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.
2025/26Standard LiègeJupiler Pro LeagueLB30207877%120.130.14138213410.65
2022/23FC Schalke 04BundesligaLM1883327%030.320.41154413541.04

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Jupiler Pro League Europe Play OffsStandard Liège8210101415
2022/23Dfb PokalFC Schalke 04213003—

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
Tiago Pinto
Super Lig · 2018
30€1.0M€525kfell
Vitaliy Lysytskyi
Premier Liga · 2013
31€900k€400kfell
Mikhail Sivakov
Premier Liga · 2018
30€1.0M€950kflat
Dion Malone
Eredivisie · 2019
30€700k€500kfell
Mohamed Abarhoun
Super Lig · 2019
30€900k€650kfell
Freek Heerkens
Eredivisie · 2019
30€600k€350kfell
Olivier Veigneau
Super Lig · 2017
32€1.0M€300kfell
Tim Breukers
Eredivisie · 2018
31€700k€550kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025FC Schalke 04Standard LiègeFree / loan€500k
1 Jul 2022HeidenheimFC Schalke 04€1.1M€1.3M
10 Jan 2020Greuther FürthHeidenheim€1.0M€600k
1 Jul 2018Alem. AachenGreuther FürthFree / loan€150k
1 Jul 2014Aachen U19Alem. AachenUnknownData unavailable
1 Jul 2012Aachen U17Aachen U19UnknownData unavailable
1 Jul 2011Aachen Yth.Aachen U17UnknownData unavailable
1 Jul 2006Bor. Brand Yth.Aachen 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.

Tobias Mohr · MoneyballAI