Mattias Svanberg

27 yrs · Central midfielder (also AM) · Sweden
VfL Wolfsburg · Bundesliga · Foot: right · Height: 186 cm
Risk: HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€8.0M
Updated 7 days ago
Estimated acquisition
€2.8M – €6.6M
Estimated · 20–80% range
Model value
€2.1M – €4.6M
Performance-implied · estimated
Projected (24m)
€2.8M – €7.1M
Resale range · estimated
Potential value gap
-€4.5M – €1.8M
Model value − acquisition

Value picture

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

Estimated acquisition€2.8M – €6.6M
Model value (performance-implied)€2.1M – €4.6M
Projected value (24 months)€2.8M – €7.1M
Dashed line: current market value (€8.0M). Bars are 20–80% model ranges; tick = median.

The model rates Mattias Svanberg's performance-implied value at EUR 2.1M-4.6M, above the estimated acquisition range of EUR 2.8M-6.6M. Its 24-month market value projection is EUR 2.8M-7.1M. Context-adjusted goal contributions are 1.49x the positional average in the league (854 minutes, league coefficient 0.94). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Final year of contract: selling club's leverage is reduced.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAbove average62.2th pct among MID peers (age-neutral)
AgeNeutral27.5 years
Acquisition costVery favorableest. €3.8M vs market €8.0M
Expected appreciationVery low-50% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.94
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
Data confidenceLow

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: €18.0M

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
854 (28% of available)
Goals + assists / 90
0.42
Context-adjusted G+A / 90
0.33
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
62 (Above 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
0.94 (rank 3)
Team strength (Elo)
1372
Opponent strength
1509
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€2.8M – €7.1M

Trajectory drivers: team strength down (-66 Elo).

Historical comparables (8): median 2-year value change -40% (IQR -65% to -25%).

Risk profile

Overall: High

  • ▲Small sample: 854 league minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘ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).

Already playing in a big-five league.

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.
2025/26VfL WolfsburgBundesligaCM2485428%310.420.33150913720.94
2024/25VfL WolfsburgBundesligaCM20122340%310.290.29153214380.94
2023/24VfL WolfsburgBundesligaCM25172656%140.260.23150614271.01
2022/23VfL WolfsburgBundesligaCM32183460%460.490.36152815251.04
2021/22Bologna Football Club 1909Serie ACM36257475%330.210.22149413950.89
2020/21Bologna Football Club 1909Serie ACM34186254%520.340.32146213800.90
2019/20Bologna Football Club 1909Serie AAM25105031%110.170.31148413650.82
2018/19Bologna Football Club 1909Serie ACM23117534%020.150.25145513670.78

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb PokalVfL Wolfsburg13121—
2025/26World CupSweden1610—
2024/25Dfb PokalVfL Wolfsburg320300—
2023/24Dfb PokalVfL Wolfsburg314300—
2022/23Dfb PokalVfL Wolfsburg322910—
2021/22Italy CupBologna Football Club 190911200—
2020/21Italy CupBologna Football Club 190916700—
2019/20Italy CupBologna Football Club 1909210400—
2018/19Italy CupBologna Football Club 190916200—

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
Edu Expósito
Laliga · 2023
27€4.0M€3.0Mfell
Kristijan Jakic
Bundesliga · 2024
27€6.5M€6.0Mflat
Florian Neuhaus
Bundesliga · 2024
27€7.0M€2.5Mfell
Jean-Eudes Aholou
Ligue 1 · 2020
26€4.0M€3.0Mfell
Unai López
Laliga · 2023
28€3.5M€2.5Mfell
Mohamed Fares
Serie A · 2022
26€4.0M€1.3Mfell
Alexandru Maxim
Bundesliga · 2016
26€4.0M€2.0Mfell
Riccardo Saponara
Serie A · 2019
28€8.5M€1.7Mfell

Transfer history

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

DateFromToFeeMV at time
16 Jul 2022BolognaWolfsburg€9.5M€15.0M
5 Jul 2018MalmöBologna€4.5M€750k
27 Jul 2015Malmö FF U19MalmöUnknownData unavailable
1 Jan 2015Malmö FF U17Malmö FF U19UnknownData unavailable
1 Jan 2013BunkefloMalmö FF U17UnknownData 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.