Kenneth Taylor

24 yrs · Central midfielder · Netherlands
Società Sportiva Lazio S.p.A. · Serie A · Foot: left · Height: 182 cm
Risk: LowConfidence: MediumSample: HighDevelopment: ModerateContract: until 30 Jun 2030
Market value
€25.0M
Updated 7 days ago
Estimated acquisition
€17.1M – €31.1M
Estimated · 20–80% range
Model value
€3.5M – €17.7M
Performance-implied · estimated
Projected (24m)
€14.1M – €29.7M
Resale range · estimated
Potential value gap
-€27.6M – €646k
Model value − acquisition

Value picture

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

Estimated acquisition€17.1M – €31.1M
Model value (performance-implied)€3.5M – €17.7M
Projected value (24 months)€14.1M – €29.7M
Dashed line: current market value (€25.0M). Bars are 20–80% model ranges; tick = median.

The model rates Kenneth Taylor's performance-implied value at EUR 3.5M-17.7M, below the estimated acquisition range of EUR 17.1M-31.1M. Its 24-month market value projection is EUR 14.1M-29.7M. Context-adjusted goal contributions are 1.05x the positional average in the league (2682 minutes, league coefficient 0.93). 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.

PerformanceAbove average73.3th pct among MID peers (age-neutral)
AgeNeutral24.1 years
Acquisition costNeutralest. €22.0M vs market €25.0M
Expected appreciationLow-26% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 0.93
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: €28.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
2682 (78% of available)
Goals + assists / 90
0.37
Context-adjusted G+A / 90
0.25
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
73 (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
0.93 (rank 4)
Team strength (Elo)
1467
Opponent strength
1494
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€14.1M – €29.7M

Trajectory drivers: changed club; league level up (+70 Elo).

Historical comparables (8): median 2-year value change +4% (IQR -9% to +14%).

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.
2025/26Società Sportiva Lazio S.p.A.Serie ACM17140241%320.320.25149415220.93
2025/26Ajax AmsterdamEredivisieCM15128042%240.420.21128614050.43
2024/25Ajax AmsterdamEredivisieCM33246180%960.550.25128515050.50
2023/24Ajax AmsterdamEredivisieCM34276690%550.330.20134814390.48
2022/23Ajax AmsterdamEredivisieCM32250582%830.400.17133015930.58
2021/22Ajax AmsterdamEredivisieCM1357719%130.620.17130517490.60
2020/21Ajax AmsterdamEredivisieCM3823%000.000.09123817220.56

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Italy CupSocietà Sportiva Lazio S.p.A.329300—
2025/26Uefa Champions LeagueAjax Amsterdam4260001629
2024/25Uefa Europa LeagueAjax Amsterdam11733511535
2024/25Uefa Europa League QualifyingAjax Amsterdam6466111431
2024/25Knvb BekerAjax Amsterdam212300—
2023/24Uefa Europa LeagueAjax Amsterdam6482201517
2023/24Uefa Europa League QualifyingAjax Amsterdam2161011421
2023/24Knvb BekerAjax Amsterdam19000—
2022/23Uefa Champions LeagueAjax Amsterdam6421011700
2022/23Knvb BekerAjax Amsterdam323510—
2022/23Uefa Europa LeagueAjax Amsterdam2180001628
2022/23Johan Cruijff SchaalAjax Amsterdam185001641
2021/22Knvb BekerAjax Amsterdam320512—
2021/22Uefa Champions LeagueAjax Amsterdam338001600

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
Răzvan Marin
Jupiler Pro League · 2019
23€13.5M€15.0Mflat
Danilo Pereira
Liga Portugal · 2016
25€12.0M€24.0Mrose
Gaetano Castrovilli
Serie A · 2020
23€20.0M€12.0Mfell
Fernando
Premier Liga · 2017
25€14.0M€11.5Mflat
Sergej Milinković-Savić
Serie A · 2019
24€65.0M€70.0Mflat
Héctor Herrera
Liga Portugal · 2016
26€16.0M€20.0Mrose
Ludovic Blas
Ligue 1 · 2022
24€16.0M€15.0Mflat
William Carvalho
Liga Portugal · 2017
25€25.0M€25.0Mflat

Transfer history

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

DateFromToFeeMV at time
9 Jan 2026AjaxLazio€16.9M€23.0M
10 Nov 2020Ajax U21AjaxUnknown€3.0M
1 Jul 2019Ajax U19Ajax U21Unknown€750k
1 Jul 2018Ajax U17Ajax U19UnknownData unavailable
1 Jul 2017Ajax YouthAjax U17UnknownData unavailable
1 Jul 2010Foresters Yth.Ajax YouthFree / 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.