Best U23 Young Left-Backs in the Bundesliga
9 players aged 23 or under · ranked by Analytical Strength Score
Best Young Left-Backs in the Bundesliga (Apr 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Young Left-Backs 2024-25
Our database tracked 9 Bundesliga Young Left-Backs in the 2024-25 season, representing 8 clubs with a combined market value of €63.2M. The average market value for Bundesliga Young Left-Backs was €7.0M, with the average age at 21.7 years old.
The most valuable young left-back in the Bundesliga was Nathaniel Brown, worth €22.0M and played for Eintracht Frankfurt at 22 years old. The top 5 Young Left-Backs averaged €10.4M in market value, including Tom Rothe and Lukas Ullrich.
Age distribution showed the youngest tracked young left-back was Almugera Kabar (19 years, Borussia Dortmund, €1.0M), while the oldest was Frans Krätzig (23 years, Red Bull Salzburg, €3.5M). Research shows Young Left-Backs typically peak at age 27.
Historical analysis showed 9 Young Left-Backs (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-Backs remained actively developing with emerging talent in the 2024-25 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-Backs. Identify undervalued assets and track market momentum across 8 clubs with €63.2M combined value.
Age Distribution: Bundesliga Young Left-Backs
The Bundesliga LB market shows 2 distinct age segments, with the largest cohort in the 21-23 bracket (8 players, 89% of market). The 21-23 age group holds the most value at €62.2M, averaging €7.8M per player.
Top Young Left-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (8 players)
Market Value Distribution
Elite Tier Concentration
The top 1 Young Left-Backs (11% of players) control €22.0M
Market Tiers
Market structure shows distributed value with high (€15-30m) tier representing 11% of the Bundesliga LB pool.
High (€15-30M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Bundesliga Young Left-Backs
Among 8 Bundesliga clubs, Eintracht Frankfurt leads with 1 Young Left-Backs worth €22.0M (averaging €22.0M per player). The top 10 clubs account for 100% of tracked Young Left-Backs.
Eintracht Frankfurt (1 Young Left-Backs)
Borussia Mönchengladbach (2 Young Left-Backs)
1.FC Union Berlin (1 Young Left-Backs)
VfL Wolfsburg (1 Young Left-Backs)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Nathaniel Brown
Eintracht Frankfurt • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €23.3M
74.6
Tom Rothe
1.FC Union Berlin • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
60.6
Lukas Ullrich
Borussia Mönchengladbach • 22 years old
€6.9M
€8.0M
+15.6%
Expected: €8.5M
58.4
Luca Netz
Borussia Mönchengladbach • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.8
Aaron Zehnter
VfL Wolfsburg • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Max Finkgräfe
RB Leipzig • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.8
Frans Krätzig
Red Bull Salzburg • 23 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
48.4
Kristoffer Lund
1.FC Köln • 23 years old
€2.3M
€2.7M
+15.6%
Expected: €2.9M
41.9
Almugera Kabar
Borussia Dortmund • 19 years old
€865K
€1.0M
+15.6%
Expected: €1.2M
27.1
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)
Eintracht Frankfurt's Nathaniel Brown at 22 years old has the highest Pre-Peak Value Efficiency at 3.67×. That means Nathaniel Brown is valued 3.67× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is 1.FC Union Berlin's Tom Rothe, who is 21 years old, with a 1.67× PPVE. Third is Lukas Ullrich of Borussia Mönchengladbach, who is 22 years old with a 1.33× 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 3.67× means the player is worth 267% 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 | Nathaniel Brown Eintracht Frankfurt | 22 | 21-23 | €22.0M | €6.0M | 3.67× |
| #2 | Tom Rothe 1.FC Union Berlin | 21 | 21-23 | €10.0M | €6.0M | 1.67× |
| #3 | Lukas Ullrich Borussia Mönchengladbach | 22 | 21-23 | €8.0M | €6.0M | 1.33× |
| #4 | Luca Netz Borussia Mönchengladbach | 22 | 21-23 | €6.0M | €6.0M | 1.00× |
| #5 | Aaron Zehnter VfL Wolfsburg | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #6 | Almugera Kabar Borussia Dortmund | 19 | U21 | €1.0M | €1.0M | 1.00× |
| #7 | Max Finkgräfe RB Leipzig | 22 | 21-23 | €4.0M | €6.0M | 0.67× |
| #8 | Frans Krätzig Red Bull Salzburg | 23 | 21-23 | €3.5M | €6.0M | 0.58× |
| #9 | Kristoffer Lund 1.FC Köln | 23 | 21-23 | €2.7M | €6.0M | 0.45× |
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 Almugera Kabar at 19 years old has the highest Return-to-Peak Potential at +40%. That means Almugera Kabar is projected to appreciate 40% as they reach their peak age in 7 years—representing significant upside before entering their prime.
In second is 1.FC Union Berlin's Tom Rothe, who is 21 years old, with a +30% RPP (5 years to peak). Third is Aaron Zehnter of VfL Wolfsburg, who is 21 years old with a +30% RPP (5 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 | Almugera Kabar Borussia Dortmund | 19 | 7 | €1.0M | €1.7M | +40% |
| #2 | Tom Rothe 1.FC Union Berlin | 21 | 5 | €10.0M | €14.4M | +30% |
| #3 | Aaron Zehnter VfL Wolfsburg | 21 | 5 | €6.0M | €8.6M | +30% |
| #4 | Nathaniel Brown Eintracht Frankfurt | 22 | 4 | €22.0M | €29.4M | +25% |
| #5 | Lukas Ullrich Borussia Mönchengladbach | 22 | 4 | €8.0M | €10.7M | +25% |
| #6 | Max Finkgräfe RB Leipzig | 22 | 4 | €4.0M | €5.3M | +25% |
| #7 | Luca Netz Borussia Mönchengladbach | 22 | 4 | €6.0M | €8.0M | +25% |
| #8 | Frans Krätzig Red Bull Salzburg | 23 | 3 | €3.5M | €4.4M | +20% |
| #9 | Kristoffer Lund 1.FC Köln | 23 | 3 | €2.7M | €3.4M | +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 Almugera Kabar has the highest Risk-Adjusted Upside at 58.0. That means Almugera Kabar has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is VfL Wolfsburg's Aaron Zehnter with a 33.7 RAU (10% upside, 0% uncertainty). Third is Tom Rothe of 1.FC Union Berlin with a 33.7 RAU (10% 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 | Almugera Kabar Borussia Dortmund | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #2 | Aaron Zehnter VfL Wolfsburg | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #3 | Tom Rothe 1.FC Union Berlin | €11.0M | €9.5M-12.5M | +10% | 33.7 |
| #4 | Frans Krätzig Red Bull Salzburg | €3.7M | €3.3M-4.2M | +7% | 27.5 |
| #5 | Kristoffer Lund 1.FC Köln | €2.9M | €2.5M-3.2M | +7% | 27.5 |
| #6 | Lukas Ullrich Borussia Mönchengladbach | €8.5M | €7.5M-9.5M | +6% | 23.0 |
| #7 | Max Finkgräfe RB Leipzig | €4.2M | €3.7M-4.7M | +6% | 23.0 |
| #8 | Nathaniel Brown Eintracht Frankfurt | €23.3M | €20.5M-26.1M | +6% | 23.0 |
| #9 | Luca Netz Borussia Mönchengladbach | €6.4M | €5.6M-7.1M | +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-back position shows strong 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)
Borussia Mönchengladbach's Luca Netz in the 21-23 age bracket has the highest Age-Share Concentration at +9.5%. That means Nathaniel Brown captures 98.4% of total market value while representing only 88.9% of players in their age group—showing dominant elite status.
In second is Red Bull Salzburg's Frans Krätzig with a +9.5% ASC (98.4% value share vs 88.9% player share in 21-23 bracket). Third is Kristoffer Lund of 1.FC Köln with a +9.5% ASC (98.4% value vs 88.9% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +9.5% ASC means the player captures 9.5% 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 | Luca Netz Borussia Mönchengladbach | 21-23 | 98.4% | 88.9% | +9.5% |
| #2 | Frans Krätzig Red Bull Salzburg | 21-23 | 98.4% | 88.9% | +9.5% |
| #3 | Kristoffer Lund 1.FC Köln | 21-23 | 98.4% | 88.9% | +9.5% |
| #4 | Nathaniel Brown Eintracht Frankfurt | 21-23 | 98.4% | 88.9% | +9.5% |
| #5 | Aaron Zehnter VfL Wolfsburg | 21-23 | 98.4% | 88.9% | +9.5% |
| #6 | Lukas Ullrich Borussia Mönchengladbach | 21-23 | 98.4% | 88.9% | +9.5% |
| #7 | Tom Rothe 1.FC Union Berlin | 21-23 | 98.4% | 88.9% | +9.5% |
| #8 | Max Finkgräfe RB Leipzig | 21-23 | 98.4% | 88.9% | +9.5% |
| #9 | Almugera Kabar Borussia Dortmund | U21 | 1.6% | 11.1% | -9.5% |
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: 1 immediate targets, 8 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 €22.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Kristoffer Lund 1.FC Köln | €2.7M | €6.0M | -0.62 | Good Value |
Luca Netz Borussia Mönchengladbach | €6.0M | €6.0M | -0.50 | Fair Value |
Aaron Zehnter VfL Wolfsburg | €6.0M | €6.0M | -0.50 | Fair Value |
Frans Krätzig Red Bull Salzburg | €3.5M | €6.0M | 0.00 | Fair Value |
Nathaniel Brown Eintracht Frankfurt | €22.0M | €6.0M | 0.00 | Fair Value |
Lukas Ullrich Borussia Mönchengladbach | €8.0M | €6.0M | 0.00 | Fair Value |
Almugera Kabar Borussia Dortmund | €1.0M | €6.0M | 0.00 | Fair Value |
Max Finkgräfe RB Leipzig | €4.0M | €6.0M | +0.38 | Fair Value |
Tom Rothe 1.FC Union Berlin | €10.0M | €6.0M | +0.50 | Fair Value |