Djibril Sow

29 yrs · Central midfielder (also DM) · Switzerland
Sevilla FC · Laliga · Foot: right · Height: 183 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2029
Market value
€7.5M
Updated 7 days ago
Estimated acquisition
€3.0M – €7.6M
Estimated · 20–80% range
Model value
€3.5M – €7.4M
Performance-implied · estimated
Projected (24m)
€2.1M – €5.7M
Resale range · estimated
Potential value gap
-€4.1M – €4.3M
Model value − acquisition

Value picture

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

Estimated acquisition€3.0M – €7.6M
Model value (performance-implied)€3.5M – €7.4M
Projected value (24 months)€2.1M – €5.7M
Dashed line: current market value (€7.5M). Bars are 20–80% model ranges; tick = median.

The model rates Djibril Sow's performance-implied value at EUR 3.5M-7.4M, above the estimated acquisition range of EUR 3.0M-7.6M. Its 24-month market value projection is EUR 2.1M-5.7M. Context-adjusted goal contributions are 1.95x the positional average in the league (2195 minutes, league coefficient 0.95). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 27

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

PerformanceAbove average74.6th pct among MID peers (age-neutral)
AgeUnfavorable29.4 years
Acquisition costFavorableest. €4.6M vs market €7.5M
Expected appreciationVery low-49% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.95
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
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: €22.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
2195 (64% of available)
Goals + assists / 90
0.37
Context-adjusted G+A / 90
0.43
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
75 (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
0.95 (rank 2)
Team strength (Elo)
1397
Opponent strength
1519
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€2.1M – €5.7M

Trajectory drivers: relative output up 109% vs positional peers.

Historical comparables (8): median 2-year value change -37% (IQR -54% to -10%).

Risk profile

Overall: Low

  • ⓘ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.
2025/26Sevilla FCLaligaCM33219564%540.370.43151913970.95
2024/25Sevilla FCLaligaCM30207061%210.130.20150114100.95
2023/24Sevilla FCLaligaCM24146843%110.120.19152114751.00
2022/23Eintracht FrankfurtBundesligaCM32265187%400.140.12152015411.04
2021/22Eintracht FrankfurtBundesligaDM31242279%230.190.12150215941.05
2020/21Eintracht FrankfurtBundesligaDM28218071%020.080.07153016021.06
2019/20Eintracht FrankfurtBundesligaCM29173857%130.210.18153515351.06
2016/17Borussia MönchengladbachBundesligaCM110%000.000.16147115491.06

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Copa Del ReySevilla FC29400—
2025/26World CupSwitzerland29301—
2024/25Copa Del ReySevilla FC28600—
2023/24Uefa Champions LeagueSevilla FC6373001678
2023/24Copa Del ReySevilla FC325301—
2022/23Uefa Champions LeagueEintracht Frankfurt8720001680
2022/23Dfb PokalEintracht Frankfurt647000—
2022/23Uefa Super CupEintracht Frankfurt190001829
2021/22Uefa Europa LeagueEintracht Frankfurt121089131544
2021/22Dfb PokalEintracht Frankfurt19000—
2020/21Dfb PokalEintracht Frankfurt11700—
2019/20Uefa Europa LeagueEintracht Frankfurt9765021588
2019/20Dfb PokalEintracht Frankfurt218000—
2016/17Dfb PokalBorussia Mönchengladbach21200—

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
James McArthur
Premier League · 2017
30€7.0M€7.0Mflat
Édgar Barreto
Serie A · 2015
31€5.0M€1.5Mfell
Gonzalo Melero
Laliga · 2023
29€4.0M€1.8Mfell
Luca Cigarini
Serie A · 2013
27€7.5M€6.0Mfell
Téji Savanier
Ligue 1 · 2021
30€11.0M€10.0Mflat
Adrien Tamèze
Serie A · 2022
28€10.0M€5.0Mfell
Emil Hallfredsson
Serie A · 2015
31€3.2M€1.5Mfell
Nahitan Nández
Serie A · 2024
29€5.0M€4.5Mflat

Transfer history

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

DateFromToFeeMV at time
4 Aug 2023FrankfurtSevilla FC€10.0M€22.0M
1 Jul 2019Young BoysFrankfurt€14.0M€9.0M
1 Jul 2017MönchengladbachYoung Boys€2.0M€1.0M
1 Jul 2016M'gladbach IIMönchengladbachUnknown€1.0M
1 Jul 2015FC Zürich U21M'gladbach II€1.5M€1.3M
1 Jul 2014FC Zürich U18FC Zürich U21UnknownData unavailable
1 Jul 2013FC Zürich U16FC Zürich U18UnknownData 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.