Kevin Danso

28 yrs · Centre-back · Austria
Tottenham Hotspur · Premier League · Foot: right · Height: 190 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2030
Market value
€20.0M
Updated 6 days ago
Estimated acquisition
€12.6M – €26.8M
Estimated · 20–80% range
Model value
€12.9M – €25.7M
Performance-implied · estimated
Projected (24m)
€6.6M – €16.2M
Resale range · estimated
Potential value gap
-€13.9M – €13.1M
Model value − acquisition

Value picture

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

Estimated acquisition€12.6M – €26.8M
Model value (performance-implied)€12.9M – €25.7M
Projected value (24 months)€6.6M – €16.2M
Dashed line: current market value (€20.0M). Bars are 20–80% model ranges; tick = median.

The model rates Kevin Danso's performance-implied value at EUR 12.9M-25.7M, below the estimated acquisition range of EUR 12.6M-26.8M. Its 24-month market value projection is EUR 6.6M-16.2M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 1

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

PerformanceElite90.1th pct among DEF peers (age-neutral)
AgeNeutral27.8 years
Acquisition costNeutralest. €19.1M vs market €20.0M
Expected appreciationVery low-53% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 1.3
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: €25.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1491 (44% 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
90 (Elite)

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
1.30 (rank 1)
Team strength (Elo)
1564
Opponent strength
1599
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)
€6.6M – €16.2M

Trajectory drivers: changed club; league level up (+94 Elo); relative output down 26% vs positional peers.

Historical comparables (8): median 2-year value change -58% (IQR -60% to -36%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1491 league minutes last season.
  • ⚠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).

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.
2025/26Tottenham HotspurPremier LeagueCB24149144%000.000.03159915641.30
2024/25RC LensLigue 1CB12108035%000.000.03142314840.88
2024/25Tottenham HotspurPremier LeagueCB1084325%000.000.04160215641.23
2023/24RC LensLigue 1CB30265587%100.030.04146215180.87
2022/23RC LensLigue 1CB37323495%130.110.08143516260.82
2021/22RC LensLigue 1CB33279382%230.160.15142114920.86
2019/20Southampton FCPremier LeagueCB62768%010.330.15157115281.14
2018/19FC AugsburgBundesligaCB18124741%110.140.13150714091.05
2017/18FC AugsburgBundesligaCB16110836%200.160.12153114611.04
2016/17FC AugsburgBundesligaCB761320%010.150.11155014521.06

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueTottenham Hotspur8477001573
2025/26World CupAustria314900—
2025/26Fa CupTottenham Hotspur19000—
2025/26Uefa Super CupTottenham Hotspur190001830
2024/25Uefa Europa LeagueTottenham Hotspur3106001494
2024/25Uefa Conference League QualifyingRC Lens190001446
2024/25Fa CupTottenham Hotspur19000—
2023/24Uefa Champions LeagueRC Lens6540001666
2023/24Uefa Europa LeagueRC Lens190001509
2019/20Fa CupSouthampton FC214600—
2018/19Dfb PokalFC Augsburg321100—

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
Issa Diop
Premier League · 2024
27€20.0M€8.0Mfell
Ben Davies
Premier League · 2020
27€17.5M€20.0Mflat
Daniel Amartey
Premier League · 2023
29€12.0M€5.0Mfell
Igor Julio
Premier League · 2024
26€17.0M€10.0Mfell
Adam Webster
Premier League · 2024
29€20.0M€3.0Mfell
Jeison Murillo
Laliga · 2018
26€15.0M€6.5Mfell
Aymen Abdennour
Laliga · 2016
27€10.0M€4.0Mfell
Diego Llorente
Laliga · 2019
26€25.0M€20.0Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025LensTottenham€25.0M€25.0M
30 Jun 2025TottenhamLensFree / loan€25.0M
2 Feb 2025LensTottenhamFree / loan€25.0M
6 Aug 2021AugsburgLens€8.0M€5.0M
30 Jun 2021F. DüsseldorfAugsburgFree / loan€5.0M
18 Aug 2020AugsburgF. DüsseldorfFree / loan€6.3M
30 Jun 2020SouthamptonAugsburgFree / loan€6.3M
8 Aug 2019AugsburgSouthamptonFree / loan€8.0M
1 Mar 2017FC Augsburg U19AugsburgUnknownData unavailable
1 Jul 2015FC Augsburg U17FC Augsburg U19UnknownData unavailable
1 Jan 2014MK Dons U18FC Augsburg U17Free / loanData unavailable
1 Jan 2008Reading Yth.MK Dons U18Free / 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.