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Under 23 · Superliga · updated October 2026

Best U23 Young Strikers in the Superliga

31 players aged 23 or under · ranked by Analytical Strength Index

Best Young Strikers in the Superliga (Oct 2026)

31 players tracked across 17 clubs. Updated October 2026.

Ranked by Analytical Strength Index

Use the search bar below to find specific players, or apply filters to narrow results by club, age range, or market value. Click the chart icon next to any player to view their historical value trajectory and forecast.

🔍
Age: 18–40
€0M–€200M
Showing 31 of 31

Player Rankings

Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.

#1
F

Franculino

FC Midtjylland · 22 years old

74.8

ASI

Current Value

€22.0M

% Change

+15.6%

1yr Forecast Range

€19.0M - €27.4M

#2
M

Mohamed Touré

Randers FC · 22 years old

58.8

ASI

Current Value

€8.0M

% Change

+15.6%

1yr Forecast Range

€6.7M - €9.6M

#3
Y

Youssoufa Moukoko

FC Copenhagen · 21 years old

52.2

ASI

Current Value

€5.0M

% Change

+15.6%

1yr Forecast Range

€4.0M - €6.1M

#5
V

Viktor Dadason

FC Copenhagen · 18 years old

46.8

ASI

Current Value

€4.0M

% Change

+15.6%

1yr Forecast Range

€3.5M - €5.3M

#4
J

Jacob Ambæk

Bröndby IF · 18 years old

46.8

ASI

Current Value

€4.0M

% Change

+15.6%

1yr Forecast Range

€3.5M - €5.3M

#6
F

Filip Bundgaard

Bröndby IF · 22 years old

40.9

ASI

Current Value

€2.5M

% Change

+15.6%

1yr Forecast Range

#7
L

Levy Nene

FC Nordsjaelland · 20 years old

28.0

ASI

Current Value

€1.0M

% Change

+15.6%

1yr Forecast Range

#8
K

Kelvin John

Aalborg BK · 23 years old

25.8

ASI

Current Value

€750K

% Change

+15.6%

1yr Forecast Range

#9
V

Villum Berthelsen

FC Nordsjaelland · 20 years old

25.3

ASI

Current Value

€800K

% Change

+15.6%

1yr Forecast Range

#10
R

Richmond Gyamfi

Aarhus GF · 22 years old

23.6

ASI

Current Value

€600K

% Change

+15.6%

1yr Forecast Range

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Market Overview: Superliga Young Strikers (updated October 2026)

Our database tracks 31 Superliga Young Strikers as of October 2026, representing 17 clubs with a combined market value of €55.2M. The average market value for Superliga Young Strikers is €1.8M, with the average age at 21 years old.

The most valuable young striker in the Superliga is Franculino, worth €22.0M and playing for FC Midtjylland at 22 years old. The top 5 Young Strikers average €8.6M in market value, including Mohamed Touré and Youssoufa Moukoko.

Age distribution shows the youngest tracked young striker is Viktor Dadason (18 years, FC Copenhagen, €4.0M), while the oldest is Kelvin John (23 years, Aalborg BK, €750K). Research shows Young Strikers typically peak at age 26.

Our 1-year forecast model projects 31 Young Strikers (100%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Superliga market for Young Strikers remains actively developing with emerging talent as of October 2026.

Market Intelligence

Explore Market Size by Position in Superliga

Interactive bubble chart showing predicted 2-year growth vs current age for all Superliga Young Strikers. Identify undervalued assets and track market momentum across 17 clubs with €55.2M combined value.

31
Players Tracked

Age Distribution: Superliga Young Strikers

The Superliga ST market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (20 players, 65% of market). The 21-23 age group holds the most value at €42.8M, averaging €2.1M per player.

U21 years11 players (35%)
€12.4MAvg: €1.1M
Top player: Viktor Dadason (€4.0M)
21-23 years20 players (65%)
€42.8MAvg: €2.1M
Top player: Franculino (€22.0M)

Top Young Strikers by Age Bracket

U21 Years (11 players)

1. Viktor Dadason(18yo)
€4.0M
2. Jacob Ambæk(18yo)
€4.0M
3. Levy Nene(20yo)
€1.0M
4. Villum Berthelsen(20yo)
€800K
5. Alexander Simmelhack(20yo)
€650K

21-23 Years (20 players)

1. Franculino(22yo)
€22.0M
2. Mohamed Touré(22yo)
€8.0M
3. Youssoufa Moukoko(21yo)
€5.0M
4. Filip Bundgaard(22yo)
€2.5M
5. Kelvin John(23yo)
€750K

Market Value Distribution

Elite Tier Concentration

71%of market value

The top 4 Young Strikers (13% of players) control €39.0M

1. Franculino€22.0M
2. Mohamed Touré€8.0M
3. Youssoufa Moukoko€5.0M
4. Viktor Dadason€4.0M

Market Tiers

High (€15-30M)1 players (3%)
€22.0M
Mid (€5-15M)2 players (6%)
€13.0M
Emerging (<€5M)28 players (90%)
€20.2M

Market structure shows distributed value with high (€15-30m) tier representing 3% of the Superliga ST pool.

High (€15-30M)

1. Franculino
FC Midtjylland€22.0M

Mid (€5-15M)

1. Mohamed Touré
Randers FC€8.0M
2. Youssoufa Moukoko
FC Copenhagen€5.0M

Emerging (<€5M)

1. Viktor Dadason
FC Copenhagen€4.0M
2. Jacob Ambæk
Bröndby IF€4.0M
3. Filip Bundgaard
Bröndby IF€2.5M
4. Levy Nene
FC Nordsjaelland€1.0M
5. Kelvin John
Aalborg BK€750K

Club Distribution: Superliga Young Strikers

Among 17 Superliga clubs, FC Midtjylland leads with 2 Young Strikers worth €22.3M (averaging €11.1M per player). The top 10 clubs account for 74% of tracked Young Strikers.

#1
FC Midtjylland
2 players • €22.3M
#2
FC Copenhagen
4 players • €9.7M
#3
Randers FC
3 players • €8.4M
#4
Bröndby IF
2 players • €6.5M
#5
FC Nordsjaelland
3 players • €2.0M
#6
Odense Boldklub
2 players • €900K
#7
Vejle Boldklub
2 players • €900K
#8
Silkeborg IF
2 players • €850K
#9
Aalborg BK
1 players • €750K
#10
Aarhus GF
2 players • €750K

FC Midtjylland (2 Young Strikers)

Franculino(22yo)
€22.0M
Frederik Heiselberg(23yo)
€250K

FC Copenhagen (4 Young Strikers)

Youssoufa Moukoko(21yo)
€5.0M
Viktor Dadason(18yo)
€4.0M
Geovanni Vianney Ndjee(19yo)
€350K
Emil Højlund(21yo)
€300K

Randers FC (3 Young Strikers)

Mohamed Touré(22yo)
€8.0M
Amin Al-Hamawi(22yo)
€250K
Musa Touré(20yo)
€200K

Bröndby IF (2 Young Strikers)

Jacob Ambæk(18yo)
€4.0M
Filip Bundgaard(22yo)
€2.5M

Scout Tools

Advanced analytics for scouting and recruitment decisions. Each tool provides unique insights into player value, potential, and market dynamics.

Pre-Peak Value Efficiency (PPVE)

Identifies pre-peak players offering exceptional value relative to their age bracket. Higher PPVE = better value.

Understanding Pre-Peak Value Efficiency (PPVE)

FC Midtjylland's Franculino at 22 years old has the highest Pre-Peak Value Efficiency at 62.86×. That means Franculino is valued 62.86× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.

In second is Randers FC's Mohamed Touré, who is 22 years old, with a 22.86× PPVE. Third is Youssoufa Moukoko of FC Copenhagen, who is 21 years old with a 14.29× PPVE.

How PPVE is calculated: PPVE compares a player's current market value to the median value of all players in their age bracket. A PPVE of 62.86× means the player is worth 6186% more than typical players their age-making them high-value targets before they reach peak value.

PPVE by Age Bracket

FranculinoFC Midtjylland
21-23 • 22yo62.86x
€22.0M • 6186% above median
Mohamed TouréRanders FC
21-23 • 22yo22.86x
€8.0M • 2186% above median
Youssoufa MoukokoFC Copenhagen
21-23 • 21yo14.29x
€5.0M • 1329% above median
Jacob AmbækBröndby IF
U21 • 18yo7.27x
€4.0M • 627% above median
Viktor DadasonFC Copenhagen
U21 • 18yo7.27x
€4.0M • 627% above median
Filip BundgaardBröndby IF
21-23 • 22yo7.14x
€2.5M • 614% above median
Kelvin JohnAalborg BK
21-23 • 23yo2.14x
€750K • 114% above median
Levy NeneFC Nordsjaelland
U21 • 20yo1.82x
€1.0M • 82% above median
Richmond GyamfiAarhus GF
21-23 • 22yo1.71x
€600K • 71% above median
Luca KjerrumgaardOdense Boldklub
21-23 • 23yo1.57x
€550K • 57% above median
Villum BerthelsenFC Nordsjaelland
U21 • 20yo1.45x
€800K • 45% above median
Atanas TricăFC Universitatea Cluj
21-23 • 22yo1.29x
€450K • 29% above median
Alexander SimmelhackSilkeborg IF
U21 • 20yo1.18x
€650K • 18% above median
Wahid FaghirVejle Boldklub
21-23 • 23yo1.14x
€400K • 14% above median
Mohamed KantéOdense Boldklub
21-23 • 22yo1.00x
€350K • 0% above median
RankPlayerAgeBracketCurrent ValueBracket MedianPPVE
#1
Franculino
FC Midtjylland
2221-23€22.0M€350K62.86x
#2
Mohamed Touré
Randers FC
2221-23€8.0M€350K22.86x
#3
Youssoufa Moukoko
FC Copenhagen
2121-23€5.0M€350K14.29x
#4
Jacob Ambæk
Bröndby IF
18U21€4.0M€550K7.27x
#5
Viktor Dadason
FC Copenhagen
18U21€4.0M€550K7.27x
#6
Filip Bundgaard
Bröndby IF
2221-23€2.5M€350K7.14x
#7
Kelvin John
Aalborg BK
2321-23€750K€350K2.14x
#8
Levy Nene
FC Nordsjaelland
20U21€1.0M€550K1.82x
#9
Richmond Gyamfi
Aarhus GF
2221-23€600K€350K1.71x
#10
Luca Kjerrumgaard
Odense Boldklub
2321-23€550K€350K1.57x
#11
Villum Berthelsen
FC Nordsjaelland
20U21€800K€550K1.45x
#12
Atanas Trică
FC Universitatea Cluj
2221-23€450K€350K1.29x
#13
Alexander Simmelhack
Silkeborg IF
20U21€650K€550K1.18x
#14
Wahid Faghir
Vejle Boldklub
2321-23€400K€350K1.14x
#15
Mohamed Kanté
Odense Boldklub
2221-23€350K€350K1.00x
#16
Alexandru Stoian
FCSB
18U21€550K€550K1.00x
#17
Bismark Edjeodji
Vejle Boldklub
19U21€500K€550K0.91x
#18
Mathias Andreasen
Hvidovre IF
2321-23€300K€350K0.86x
#19
Emil Højlund
FC Copenhagen
2121-23€300K€350K0.86x
#20
Amin Al-Hamawi
Randers FC
2221-23€250K€350K0.71x

Return-to-Peak Potential (RPP)

Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.

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Risk-Adjusted Upside (RAU)

Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.

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Roster Pressure Index (RPI)

Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.

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Age-Share Concentration (ASC)

Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.

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Buy-Now vs Wait-List Map

Categorizes players by age position and upside potential to guide timing of acquisition.

Unlock the Buy Map for Superliga Young Strikers.

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Price vs Peer Z-Score

IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.

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How We Rank Superliga Young Strikers

Our Analytical Strength Index is calibrated specifically for young strikers, using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).

Scoring Components for ST

Historical Achievement Index (35%)

Peak career market value for Superliga young strikers, reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.

Current Performance Proxy (30%)

Present market value for Superliga young strikers, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.

Playing Time Utilization (18%)

Attackers with 2,200+ minutes score highest, indicating regular starting role and sustained performance.

Age-Adjusted Performance Curve (12%)

Attackers peak at 26 with fastest 7.0%/year decline (pace-dependent). Pre-peak players score higher on development trajectory.

Competition Level Adjustment (3%)

Superliga competition level factored into comparative strength assessment.

Performance Expectations Multiplier (2%)

Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.

ST Performance Benchmarks

Peak Age: 26 years (peak pace and finishing efficiency)

Decline Rate: Widening steps, not a flat rate: about -5% at 27, -10% at 28, steeper from 29 (earliest onset, pace-dependent position)

Optimal Minutes: 2,200-2,400 per season (high-intensity position requires rotation)

1-Year Market Value Forecast

Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:

• Age Factor: Compounding and banded around a peak of 26: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.

• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%

• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)

• Forecast Range: ±18% confidence interval (most volatile, form-dependent)

Research Foundation

• Dendir (2016): Age-performance curves for young strikers

• Carmichael et al. (2011): Player depreciation in top leagues

• Franck & Nüesch (2012): Hedonic pricing models for talent valuation

• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide

Frequently Asked Questions

Common questions about Superliga Young Strikers, updated October 2026

Who are the most valuable Young Strikers in the Superliga right now?

The most valuable young striker in the Superliga today is Franculino, who is worth €22.0M and plays for FC Midtjylland. The second most valuable is Mohamed Touré (€8.0M, Randers FC), followed by Youssoufa Moukoko (€5.0M, FC Copenhagen). Our database tracks 31 Superliga Young Strikers with comprehensive market valuations updated in October 2026.

How are Superliga Young Strikers ranked?

Superliga Young Strikers are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Strikers. The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Superliga competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.

What age do Young Strikers peak?

Attackers peak earliest, typically at age 26. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 27, -10% at 28, and -15% or more from 29. This reflects the position's heavy reliance on pace, acceleration, and explosive power, which deteriorate faster than technical skills. Research by Carmichael et al. (2020) confirms that forwards peak earlier and decline faster than any other position. The optimal playing time is around 2,200-2,400 minutes per season.

How much does it cost to sign a top young striker from the Superliga?

Transfer fees for Superliga Young Strikers vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young striker Franculino (market value: €22.0M), estimated transfer fees would range from €17.6M to €30.8M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Superliga transactions.

What is the value forecast for Superliga Young Strikers?

Our 1-year forecast model projects market value changes for Superliga Young Strikers based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-attackers have ±18% volatility (most volatile due to form-dependency). Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.

Where does the Superliga young striker data come from?

Our Superliga young striker data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Superliga sources and updated monthly (last update October 2026) to ensure accuracy for recruitment and investment decisions.