Best U23 Young Left Wingers in the Bundesliga
17 players aged 23 or under · ranked by Analytical Strength Score
Best Young Left Wingers in the Bundesliga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Young Left Wingers 2022-23
Our database tracked 17 Bundesliga Young Left Wingers in the 2022-23 season, representing 15 clubs with a combined market value of €135.5M. The average market value for Bundesliga Young Left Wingers was €8.0M, with the average age at 21.1 years old.
The most valuable young left winger in the Bundesliga was Antonio Nusa, worth €28.0M and played for RB Leipzig at 21 years old. The top 5 Young Left Wingers averaged €19.2M in market value, including Eliesse Ben Seghir and Jean-Mattéo Bahoya.
Age distribution showed the youngest tracked young left winger was Julien Duranville (19 years, Borussia Dortmund, €8.5M), while the oldest was Jakub Kaminski (23 years, 1.FC Köln, €5.0M). Research shows Young Left Wingers typically peak at age 26.
Historical analysis showed 17 Young Left Wingers (100%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The Bundesliga market for Young Left Wingers remained actively developing with emerging talent in the 2022-23 season.
💡 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.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Young Left Wingers. Identify undervalued assets and track market momentum across 15 clubs with €135.5M combined value.
Age Distribution: Bundesliga Young Left Wingers
The Bundesliga LW market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (11 players, 65% of market). The 21-23 age group holds the most value at €92.8M, averaging €8.4M per player.
Top Young Left Wingers by Age Bracket
U21 Years (6 players)
21-23 Years (11 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Young Left Wingers (12% of players) control €56.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 18% of the Bundesliga LW pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Bundesliga Young Left Wingers
Among 15 Bundesliga clubs, RB Leipzig leads with 2 Young Left Wingers worth €31.0M (averaging €15.5M per player). The top 10 clubs account for 65% of tracked Young Left Wingers.
RB Leipzig (2 Young Left Wingers)
Bayer 04 Leverkusen (1 Young Left Wingers)
Eintracht Frankfurt (1 Young Left Wingers)
SV Werder Bremen (1 Young Left Wingers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Antonio Nusa
RB Leipzig • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €30.9M
77.0
Eliesse Ben Seghir
Bayer 04 Leverkusen • 21 years old
€24.2M
€28.0M
+15.6%
Expected: €30.9M
77.0
Jean-Mattéo Bahoya
Eintracht Frankfurt • 20 years old
€14.7M
€17.0M
+15.6%
Expected: €19.5M
70.2
Samuel Mbangula
SV Werder Bremen • 22 years old
€12.1M
€14.0M
+15.6%
Expected: €14.8M
69.0
Bazoumana Touré
TSG 1899 Hoffenheim • 20 years old
€7.8M
€9.0M
+15.6%
Expected: €10.3M
58.7
Ismaël Gharbi
FC Augsburg • 22 years old
€6.5M
€7.5M
+15.6%
Expected: €7.9M
57.6
Julien Duranville
Borussia Dortmund • 19 years old
€7.4M
€8.5M
+15.6%
Expected: €10.1M
57.3
Jakub Kaminski
1.FC Köln • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €5.4M
53.2
Clement Bischoff
Red Bull Salzburg • 20 years old
€4.3M
€5.0M
+15.6%
Expected: €5.7M
51.0
Derry Scherhant
SC Freiburg • 23 years old
€3.5M
€4.0M
+15.6%
Expected: €4.3M
50.4
Justin Diehl
VfB Stuttgart • 21 years old
€2.6M
€3.0M
+15.6%
Expected: €3.3M
42.0
Tidiam Gomis
RB Leipzig • 19 years old
€2.6M
€3.0M
+15.6%
Expected: €3.6M
40.8
Petter Nosa Dahl
Rapid Vienna • 22 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.0
David Preu
1.FC Union Berlin • 21 years old
€346K
€400K
+15.6%
Expected: €441K
16.9
Alexis Tibidi
Without Club • 22 years old
€259K
€300K
+15.6%
Expected: €318K
13.6
Mickael Dosso
Wolfsberger AC • 20 years old
€151K
€175K
+15.6%
Expected: €201K
5.7
Mehmet Ibrahimi
Without Club • 23 years old
€108K
€125K
+15.6%
Expected: €134K
3.4
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)
Bayer 04 Leverkusen's Eliesse Ben Seghir at 21 years old has the highest Pre-Peak Value Efficiency at 7.00×. That means Antonio Nusa is valued 7.00× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is RB Leipzig's Antonio Nusa, who is 21 years old, with a 7.00× PPVE. Third is Samuel Mbangula of SV Werder Bremen, who is 22 years old with a 3.50× 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 7.00× means the player is worth 600% more than typical players their age—making them high-value targets before they reach peak value.
PPVE by Age Bracket
| Rank | Player | Age | Bracket | Current Value | Bracket Median | PPVE |
|---|---|---|---|---|---|---|
| #1 | Eliesse Ben Seghir Bayer 04 Leverkusen | 21 | 21-23 | €28.0M | €4.0M | 7.00× |
| #2 | Antonio Nusa RB Leipzig | 21 | 21-23 | €28.0M | €4.0M | 7.00× |
| #3 | Samuel Mbangula SV Werder Bremen | 22 | 21-23 | €14.0M | €4.0M | 3.50× |
| #4 | Jean-Mattéo Bahoya Eintracht Frankfurt | 20 | U21 | €17.0M | €8.5M | 2.00× |
| #5 | Ismaël Gharbi FC Augsburg | 22 | 21-23 | €7.5M | €4.0M | 1.88× |
| #6 | Jakub Kaminski 1.FC Köln | 23 | 21-23 | €5.0M | €4.0M | 1.25× |
| #7 | Bazoumana Touré TSG 1899 Hoffenheim | 20 | U21 | €9.0M | €8.5M | 1.06× |
| #8 | Julien Duranville Borussia Dortmund | 19 | U21 | €8.5M | €8.5M | 1.00× |
| #9 | Derry Scherhant SC Freiburg | 23 | 21-23 | €4.0M | €4.0M | 1.00× |
| #10 | Justin Diehl VfB Stuttgart | 21 | 21-23 | €3.0M | €4.0M | 0.75× |
| #11 | Petter Nosa Dahl Rapid Vienna | 22 | 21-23 | €2.5M | €4.0M | 0.63× |
| #12 | Clement Bischoff Red Bull Salzburg | 20 | U21 | €5.0M | €8.5M | 0.59× |
| #13 | Tidiam Gomis RB Leipzig | 19 | U21 | €3.0M | €8.5M | 0.35× |
| #14 | David Preu 1.FC Union Berlin | 21 | 21-23 | €400K | €4.0M | 0.10× |
| #15 | Alexis Tibidi Without Club | 22 | 21-23 | €300K | €4.0M | 0.07× |
| #16 | Mehmet Ibrahimi Without Club | 23 | 21-23 | €125K | €4.0M | 0.03× |
| #17 | Mickael Dosso Wolfsberger AC | 20 | U21 | €175K | €8.5M | 0.02× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Understanding Return-to-Peak Potential (RPP)
Borussia Dortmund's Julien Duranville at 19 years old has the highest Return-to-Peak Potential at +40%. That means Julien Duranville is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is RB Leipzig's Tidiam Gomis, who is 19 years old, with a +40% RPP (7 years to peak). Third is Mickael Dosso of Wolfsberger AC, who is 20 years old with a +35% RPP (6 years to peak).
How RPP is calculated: RPP compares a player's current market value to their forecasted peak value, calculating the percentage appreciation potential. A 40% RPP means the player is expected to gain 40% value as they enter their prime—making them excellent growth investments.
Recovery Potential by Player
| Rank | Player | Age | Years to Peak | Current | Peak Forecast | RPP % |
|---|---|---|---|---|---|---|
| #1 | Julien Duranville Borussia Dortmund | 19 | 7 | €8.5M | €14.1M | +40% |
| #2 | Tidiam Gomis RB Leipzig | 19 | 7 | €3.0M | €5.0M | +40% |
| #3 | Mickael Dosso Wolfsberger AC | 20 | 6 | €175K | €270K | +35% |
| #4 | Clement Bischoff Red Bull Salzburg | 20 | 6 | €5.0M | €7.7M | +35% |
| #5 | Bazoumana Touré TSG 1899 Hoffenheim | 20 | 6 | €9.0M | €13.9M | +35% |
| #6 | Jean-Mattéo Bahoya Eintracht Frankfurt | 20 | 6 | €17.0M | €26.3M | +35% |
| #7 | Justin Diehl VfB Stuttgart | 21 | 5 | €3.0M | €4.3M | +30% |
| #8 | David Preu 1.FC Union Berlin | 21 | 5 | €400K | €575K | +30% |
| #9 | Eliesse Ben Seghir Bayer 04 Leverkusen | 21 | 5 | €28.0M | €40.2M | +30% |
| #10 | Antonio Nusa RB Leipzig | 21 | 5 | €28.0M | €40.2M | +30% |
| #11 | Petter Nosa Dahl Rapid Vienna | 22 | 4 | €2.5M | €3.3M | +25% |
| #12 | Samuel Mbangula SV Werder Bremen | 22 | 4 | €14.0M | €18.7M | +25% |
| #13 | Alexis Tibidi Without Club | 22 | 4 | €300K | €401K | +25% |
| #14 | Ismaël Gharbi FC Augsburg | 22 | 4 | €7.5M | €10.0M | +25% |
| #15 | Jakub Kaminski 1.FC Köln | 23 | 3 | €5.0M | €6.2M | +20% |
| #16 | Mehmet Ibrahimi Without Club | 23 | 3 | €125K | €155K | +20% |
| #17 | Derry Scherhant SC Freiburg | 23 | 3 | €4.0M | €5.0M | +20% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Borussia Dortmund's Julien Duranville has the highest Risk-Adjusted Upside at 58.0. That means Julien Duranville has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is RB Leipzig's Tidiam Gomis with a 58.0 RAU (19% upside, 0% uncertainty). Third is Jean-Mattéo Bahoya of Eintracht Frankfurt with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.0 means the upside is 58.0× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.
Risk-Adjusted Upside by Player
| Rank | Player | Expected | Range | Upside % | RAU |
|---|---|---|---|---|---|
| #1 | Julien Duranville Borussia Dortmund | €10.1M | €8.7M-11.5M | +19% | 58.0 |
| #2 | Tidiam Gomis RB Leipzig | €3.6M | €3.1M-4.1M | +19% | 58.0 |
| #3 | Jean-Mattéo Bahoya Eintracht Frankfurt | €19.5M | €16.8M-22.2M | +15% | 46.3 |
| #4 | Mickael Dosso Wolfsberger AC | €201K | €173K-228K | +15% | 46.3 |
| #5 | Bazoumana Touré TSG 1899 Hoffenheim | €10.3M | €8.9M-11.7M | +15% | 46.3 |
| #6 | Clement Bischoff Red Bull Salzburg | €5.7M | €4.9M-6.5M | +15% | 46.3 |
| #7 | Justin Diehl VfB Stuttgart | €3.3M | €2.9M-3.8M | +10% | 33.7 |
| #8 | Eliesse Ben Seghir Bayer 04 Leverkusen | €30.9M | €26.6M-35.1M | +10% | 33.7 |
| #9 | Antonio Nusa RB Leipzig | €30.9M | €26.6M-35.1M | +10% | 33.7 |
| #10 | David Preu 1.FC Union Berlin | €441K | €380K-502K | +10% | 33.7 |
| #11 | Mehmet Ibrahimi Without Club | €134K | €118K-150K | +7% | 27.5 |
| #12 | Derry Scherhant SC Freiburg | €4.3M | €3.8M-4.8M | +7% | 27.5 |
| #13 | Jakub Kaminski 1.FC Köln | €5.4M | €4.7M-6.0M | +7% | 27.5 |
| #14 | Alexis Tibidi Without Club | €318K | €279K-356K | +6% | 23.0 |
| #15 | Samuel Mbangula SV Werder Bremen | €14.8M | €13.0M-16.6M | +6% | 23.0 |
| #16 | Ismaël Gharbi FC Augsburg | €7.9M | €7.0M-8.9M | +6% | 23.0 |
| #17 | Petter Nosa Dahl Rapid Vienna | €2.6M | €2.3M-3.0M | +6% | 23.0 |
Roster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
What This Shows
Z-Score explained: Measures how many standard deviations a player's strength is from the position average. Z-Score = 0 means average, +1.0 is one standard deviation above average, -1.0 is below average.
How to use: RPI < -1.0 indicates critical depth shortage. These positions need immediate reinforcement. RPI > +1.0 suggests strong depth, allowing selective, high-value additions only.
Current market: young left winger position shows weak depth (avg Z-score: -0.00). RPI: -0.00.
Position Depth Analysis
Highest Z-Scores
Lowest Z-Scores
Age-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Understanding Age-Share Concentration (ASC)
Wolfsberger AC's Mickael Dosso in the U21 age bracket has the highest Age-Share Concentration at +-3.8%. That means Jean-Mattéo Bahoya captures 31.5% of total market value while representing only 35.3% of players in their age group—showing dominant elite status.
In second is TSG 1899 Hoffenheim's Bazoumana Touré with a +-3.8% ASC (31.5% value share vs 35.3% player share in U21 bracket). Third is Julien Duranville of Borussia Dortmund with a +-3.8% ASC (31.5% value vs 35.3% players in U21 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-3.8% ASC means the player captures -3.8% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.
Value Concentration by Player
| Rank | Player | Age Bracket | Value Share | Player Share | ASC |
|---|---|---|---|---|---|
| #1 | Mickael Dosso Wolfsberger AC | U21 | 31.5% | 35.3% | -3.8% |
| #2 | Bazoumana Touré TSG 1899 Hoffenheim | U21 | 31.5% | 35.3% | -3.8% |
| #3 | Julien Duranville Borussia Dortmund | U21 | 31.5% | 35.3% | -3.8% |
| #4 | Jean-Mattéo Bahoya Eintracht Frankfurt | U21 | 31.5% | 35.3% | -3.8% |
| #5 | Clement Bischoff Red Bull Salzburg | U21 | 31.5% | 35.3% | -3.8% |
| #6 | Tidiam Gomis RB Leipzig | U21 | 31.5% | 35.3% | -3.8% |
| #7 | Jakub Kaminski 1.FC Köln | 21-23 | 68.5% | 64.7% | +3.8% |
| #8 | Mehmet Ibrahimi Without Club | 21-23 | 68.5% | 64.7% | +3.8% |
| #9 | Samuel Mbangula SV Werder Bremen | 21-23 | 68.5% | 64.7% | +3.8% |
| #10 | Justin Diehl VfB Stuttgart | 21-23 | 68.5% | 64.7% | +3.8% |
| #11 | David Preu 1.FC Union Berlin | 21-23 | 68.5% | 64.7% | +3.8% |
| #12 | Alexis Tibidi Without Club | 21-23 | 68.5% | 64.7% | +3.8% |
| #13 | Ismaël Gharbi FC Augsburg | 21-23 | 68.5% | 64.7% | +3.8% |
| #14 | Eliesse Ben Seghir Bayer 04 Leverkusen | 21-23 | 68.5% | 64.7% | +3.8% |
| #15 | Derry Scherhant SC Freiburg | 21-23 | 68.5% | 64.7% | +3.8% |
| #16 | Antonio Nusa RB Leipzig | 21-23 | 68.5% | 64.7% | +3.8% |
| #17 | Petter Nosa Dahl Rapid Vienna | 21-23 | 68.5% | 64.7% | +3.8% |
Buy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
What This Shows
How to use: "Buy Now - High Upside" = immediate priority targets. "Watch List" = monitor for 6-12 months. "Peak" = pay premium for proven performers. "Aging" = short-term depth only.
Current market: 2 immediate targets, 15 standard acquisitions, 0 watch-list prospects, 0 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
No players in this category
Price vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
What This Shows
How to use: Z-score < -1.5 = significantly undervalued (potential bargain). Z-score > +1.5 = premium pricing (requires strong justification). Within ±1.0 = fair market value.
Current market: Position median is €28.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mickael Dosso Wolfsberger AC | €175K | €5.0M | -1.00 | Good Value |
Mehmet Ibrahimi Without Club | €125K | €5.0M | -0.88 | Good Value |
Clement Bischoff Red Bull Salzburg | €5.0M | €5.0M | -0.88 | Good Value |
Alexis Tibidi Without Club | €300K | €5.0M | -0.81 | Good Value |
David Preu 1.FC Union Berlin | €400K | €5.0M | -0.78 | Good Value |
Jakub Kaminski 1.FC Köln | €5.0M | €5.0M | -0.28 | Fair Value |
Ismaël Gharbi FC Augsburg | €7.5M | €5.0M | 0.00 | Fair Value |
Eliesse Ben Seghir Bayer 04 Leverkusen | €28.0M | €5.0M | 0.00 | Fair Value |
Julien Duranville Borussia Dortmund | €8.5M | €5.0M | 0.00 | Fair Value |
Antonio Nusa RB Leipzig | €28.0M | €5.0M | 0.00 | Fair Value |
Petter Nosa Dahl Rapid Vienna | €2.5M | €5.0M | 0.00 | Fair Value |
Jean-Mattéo Bahoya Eintracht Frankfurt | €17.0M | €5.0M | 0.00 | Fair Value |
Tidiam Gomis RB Leipzig | €3.0M | €5.0M | 0.00 | Fair Value |
Bazoumana Touré TSG 1899 Hoffenheim | €9.0M | €5.0M | +0.13 | Fair Value |
Justin Diehl VfB Stuttgart | €3.0M | €5.0M | +0.19 | Fair Value |
Derry Scherhant SC Freiburg | €4.0M | €5.0M | +0.56 | Above Market |
Samuel Mbangula SV Werder Bremen | €14.0M | €5.0M | +0.72 | Above Market |