Jens Toornstra

37 yrs · Attacking midfielder (also CM, DM, RW) · Netherlands
Sparta Rotterdam · Eredivisie · Foot: right · Height: 178 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€200k
Updated 7 days ago
Estimated acquisition
€48k – €159k
Estimated · 20–80% range
Model value
€80k – €257k
Performance-implied · estimated
Projected (24m)
€156k – €199k
Resale range · estimated
Potential value gap
-€79k – €209k
Model value − acquisition

Value picture

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

Estimated acquisition€48k – €159k
Model value (performance-implied)€80k – €257k
Projected value (24 months)€156k – €199k
Dashed line: current market value (€200k). Bars are 20–80% model ranges; tick = median.

The model rates Jens Toornstra's performance-implied value at EUR 0.1M-0.3M, above the estimated acquisition range of EUR 0.0M-0.2M. Its 24-month market value projection is EUR 0.2M-0.2M. Context-adjusted goal contributions are 0.55x the positional average in the league (792 minutes, league coefficient 0.43). 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)

PerformanceBelow average24.3th pct among MID peers (age-neutral)
AgeUnfavorable37.2 years
Acquisition costVery favorableest. €64k vs market €200k
Expected appreciationNeutral+1% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.43
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
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: €7.5M

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
792 (26% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.22
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
24 (Below 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
0.43 (rank 15)
Team strength (Elo)
1213
Opponent strength
1362
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)
€156k – €199k

Trajectory drivers: minutes share down 18 pts; changed club; team strength down (-196 Elo); relative output down 29% vs positional peers.

Historical comparables (8): median 2-year value change +0% (IQR -50% to +0%).

Risk profile

Overall: Very High

  • ▲Small sample: 792 league minutes last season.
  • ▲Age 37: resale value typically declines.
  • ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition 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).
  • ⚠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).

Historical movers
53 (MID)
Relative output kept
76%–148%
Held a regular role (900+ min)
68%
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.
2025/26Sparta RotterdamEredivisieAM1779226%000.000.22136212130.43
2024/25FC UtrechtEredivisieAM31133444%140.340.30131614090.50
2023/24FC UtrechtEredivisieAM31178758%450.450.40137213540.48
2022/23FC UtrechtEredivisieDM28233876%150.230.19134413920.58
2022/23Feyenoord RotterdamEredivisieAM3752%011.200.25130316390.58
2021/22Feyenoord RotterdamEredivisieRW31178758%330.300.25135316090.60
2020/21Feyenoord RotterdamEredivisieCM31267087%820.340.24134614570.56
2019/20Feyenoord RotterdamEredivisieCM21171776%540.470.25136115420.62
2018/19Feyenoord RotterdamEredivisieAM32234177%850.500.29135915020.61
2017/18Feyenoord RotterdamEredivisieAM32229775%8110.740.45132215300.59
2016/17Feyenoord RotterdamEredivisieAM34280092%14110.800.47134715360.54
2015/16Feyenoord RotterdamEredivisieAM21140546%260.510.33127614520.58
2014/15Feyenoord RotterdamEredivisieRW29206267%740.480.32133314360.52
2014/15FC UtrechtEredivisieAM21806%111.000.38123612890.52
2013/14FC UtrechtEredivisieAM34304499%1230.440.43133813310.59
2012/13ADO Den HaagEredivisieAM20179959%520.350.36135212980.54
2012/13FC UtrechtEredivisieAM12107135%550.840.56135514320.54

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Knvb BekerSparta Rotterdam326701—
2024/25Knvb BekerFC Utrecht212200—
2023/24Knvb BekerFC Utrecht211502—
2022/23Knvb BekerFC Utrecht324510—
2021/22Uefa Conference League QualifyingFeyenoord Rotterdam6540041364
2021/22Knvb BekerFeyenoord Rotterdam13500—
2020/21Uefa Europa LeagueFeyenoord Rotterdam6521011503
2020/21Knvb BekerFeyenoord Rotterdam218001—
2019/20Uefa Europa LeagueFeyenoord Rotterdam6431201582
2019/20Knvb BekerFeyenoord Rotterdam439002—
2018/19Knvb BekerFeyenoord Rotterdam318400—
2018/19Uefa Europa League QualifyingFeyenoord Rotterdam2180001380
2018/19Johan Cruijff SchaalFeyenoord Rotterdam162001636
2017/18Knvb BekerFeyenoord Rotterdam645911—
2017/18Uefa Champions LeagueFeyenoord Rotterdam5323001771
2017/18Johan Cruijff SchaalFeyenoord Rotterdam190101358
2016/17Uefa Europa LeagueFeyenoord Rotterdam6474001562
2016/17Knvb BekerFeyenoord Rotterdam327011—
2016/17Johan Cruijff SchaalFeyenoord Rotterdam163001658
2015/16Knvb BekerFeyenoord Rotterdam317901—
2014/15Uefa Europa LeagueFeyenoord Rotterdam8720311537
2014/15Knvb BekerFeyenoord Rotterdam19000—
2013/14Knvb BekerFC Utrecht439030—
2013/14Uefa Europa League QualifyingFC Utrecht2180011432
2012/13Knvb BekerADO Den Haag218010—

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
Rasmus Würtz
Superliga · 2019
36€300k€300kflat
Chris Millar
Scottish Premiership · 2018
35€300k€150kfell
Matias Iglesias
Super League 1 · 2021
36€100k€125krose
Martín Rolle
Super League 1 · 2019
34€200k€100kfell
Hakan Arslan
Super Lig · 2024
36€100k€100kflat
Vladyslav Lupashko
Premier Liga · 2021
35€200k€100kfell
Arnaud Djoum
Scottish Premiership · 2023
34€225k€225kflat
Javier Umbides
Super League 1 · 2021
39€100k€100kflat

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025UtrechtSparta R.Free / loan€350k
23 Aug 2022FeyenoordUtrechtFree / loan€1.2M
25 Aug 2014UtrechtFeyenoord€3.5M€4.0M
31 Jan 2013ADO Den HaagUtrecht€950k€2.5M
1 Jan 2010ADO U21ADO Den HaagUnknown€50k
1 Jul 2009Alphense BoysADO U21UnknownData unavailable
1 Jul 2008Alphense B. U19Alphense BoysUnknownData unavailable
1 Jul 2006Alphense B. U17Alphense B. U19UnknownData unavailable
1 Jul 2004Alphense B. JgdAlphense B. 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.