Best U23 Young Left-Backs in the Bundesliga
17 players aged 23 or under · ranked by Analytical Strength Index
Best Young Left-Backs in the Bundesliga (Jul 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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Nathaniel Brown
Eintracht Frankfurt • 23 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
85.2
Tom Rothe
1.FC Union Berlin • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €11.5M
61.3
Lukas Ullrich
Borussia Mönchengladbach • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.7M
57.2
Luca Netz
Borussia Mönchengladbach • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.6
Max Finkgräfe
RB Leipzig • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
55.2
Almugera Kabar
Borussia Dortmund • 20 years old
€2.6M
€3.0M
+15.6%
Expected: €3.6M
42.0
John Tolkin
Holstein Kiel • 23 years old
€2.2M
€2.5M
+15.6%
Expected: €2.6M
40.9
Aaron Zehnter
VfL Wolfsburg • 21 years old
€1.3M
€1.5M
+15.6%
Expected: €1.7M
33.6
Lasse Günther
FC Augsburg • 23 years old
€692K
€800K
+15.6%
Expected: €847K
26.5
Guille Bueno
Borussia Dortmund • 23 years old
€519K
€600K
+15.6%
Expected: €635K
22.8
Sanoussy Ba
RB Leipzig • 22 years old
€432K
€500K
+15.6%
Expected: €551K
20.1
David Preu
1.FC Union Berlin • 21 years old
€346K
€400K
+15.6%
Expected: €459K
16.8
Hennes Behrens
1. Fußballclub Heidenheim 1846 • 21 years old
€346K
€400K
+15.6%
Expected: €459K
16.8
Jan Schröder
Eintracht Frankfurt • 23 years old
€173K
€200K
+15.6%
Expected: €212K
8.9
Seedy Jarju
1. Fußballclub Heidenheim 1846 • 21 years old
€173K
€200K
+15.6%
Expected: €229K
8.1
Vasilios Pavlidis
FC Schalke 04 • 23 years old
€130K
€150K
+15.6%
Expected: €159K
5.3
Tim Müller
1.FSV Mainz 05 • 21 years old
€130K
€150K
+15.6%
Expected: €172K
4.4
If you were Bundesliga's sporting director, who would you sign?
Pick a club, select up to 3 players, and build your transfer proposal.
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 11 clubs with €74.4M 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 (16 players, 94% of market). The 21-23 age group holds the most value at €71.4M, averaging €4.5M per player.
Top Young Left-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (16 players)
Market Value Distribution
Elite Tier Concentration
The top 2 Young Left-Backs (12% of players) control €45.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 6% of the Bundesliga LB pool.
Premium (€30-50M)
Mid (€5-15M)
Emerging (<€5M)
Club Distribution: Bundesliga Young Left-Backs
Among 11 Bundesliga clubs, Eintracht Frankfurt leads with 2 Young Left-Backs worth €35.2M (averaging €17.6M per player). The top 10 clubs account for 94% of tracked Young Left-Backs.
Eintracht Frankfurt (2 Young Left-Backs)
Borussia Mönchengladbach (2 Young Left-Backs)
1.FC Union Berlin (2 Young Left-Backs)
RB Leipzig (2 Young Left-Backs)
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 23 years old has the highest Pre-Peak Value Efficiency at 43.75×. That means Nathaniel Brown is valued 43.75× 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 12.50× PPVE. Third is Lukas Ullrich of Borussia Mönchengladbach, who is 22 years old with a 8.75× 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 43.75× means the player is worth 4275% 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 | 23 | 21-23 | €35.0M | €800K | 43.75× |
| #2 | Tom Rothe 1.FC Union Berlin | 21 | 21-23 | €10.0M | €800K | 12.50× |
| #3 | Lukas Ullrich Borussia Mönchengladbach | 22 | 21-23 | €7.0M | €800K | 8.75× |
| #4 | Luca Netz Borussia Mönchengladbach | 23 | 21-23 | €6.0M | €800K | 7.50× |
| #5 | Max Finkgräfe RB Leipzig | 22 | 21-23 | €6.0M | €800K | 7.50× |
| #6 | John Tolkin Holstein Kiel | 23 | 21-23 | €2.5M | €800K | 3.13× |
| #7 | Aaron Zehnter VfL Wolfsburg | 21 | 21-23 | €1.5M | €800K | 1.88× |
| #8 | Lasse Günther FC Augsburg | 23 | 21-23 | €800K | €800K | 1.00× |
| #9 | Almugera Kabar Borussia Dortmund | 20 | U21 | €3.0M | €3.0M | 1.00× |
| #10 | Guille Bueno Borussia Dortmund | 23 | 21-23 | €600K | €800K | 0.75× |
| #11 | Sanoussy Ba RB Leipzig | 22 | 21-23 | €500K | €800K | 0.63× |
| #12 | David Preu 1.FC Union Berlin | 21 | 21-23 | €400K | €800K | 0.50× |
| #13 | Hennes Behrens 1. Fußballclub Heidenheim 1846 | 21 | 21-23 | €400K | €800K | 0.50× |
| #14 | Jan Schröder Eintracht Frankfurt | 23 | 21-23 | €200K | €800K | 0.25× |
| #15 | Seedy Jarju 1. Fußballclub Heidenheim 1846 | 21 | 21-23 | €200K | €800K | 0.25× |
| #16 | Vasilios Pavlidis FC Schalke 04 | 23 | 21-23 | €150K | €800K | 0.19× |
| #17 | Tim Müller 1.FSV Mainz 05 | 21 | 21-23 | €150K | €800K | 0.19× |
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 20 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 6 years-representing significant upside before entering their prime.
In second is VfL Wolfsburg's Aaron Zehnter, who is 21 years old, with a +35% RPP (5 years to peak). Third is Tom Rothe of 1.FC Union Berlin, who is 21 years old with a +35% 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 | 20 | 6 | €3.0M | €5.0M | +40% |
| #2 | Aaron Zehnter VfL Wolfsburg | 21 | 5 | €1.5M | €2.3M | +35% |
| #3 | Tom Rothe 1.FC Union Berlin | 21 | 5 | €10.0M | €15.5M | +35% |
| #4 | David Preu 1.FC Union Berlin | 21 | 5 | €400K | €618K | +35% |
| #5 | Seedy Jarju 1. Fußballclub Heidenheim 1846 | 21 | 5 | €200K | €309K | +35% |
| #6 | Hennes Behrens 1. Fußballclub Heidenheim 1846 | 21 | 5 | €400K | €618K | +35% |
| #7 | Tim Müller 1.FSV Mainz 05 | 21 | 5 | €150K | €232K | +35% |
| #8 | Sanoussy Ba RB Leipzig | 22 | 4 | €500K | €719K | +30% |
| #9 | Lukas Ullrich Borussia Mönchengladbach | 22 | 4 | €7.0M | €10.1M | +30% |
| #10 | Max Finkgräfe RB Leipzig | 22 | 4 | €6.0M | €8.6M | +30% |
| #11 | John Tolkin Holstein Kiel | 23 | 3 | €2.5M | €3.3M | +25% |
| #12 | Vasilios Pavlidis FC Schalke 04 | 23 | 3 | €150K | €201K | +25% |
| #13 | Nathaniel Brown Eintracht Frankfurt | 23 | 3 | €35.0M | €46.8M | +25% |
| #14 | Guille Bueno Borussia Dortmund | 23 | 3 | €600K | €802K | +25% |
| #15 | Lasse Günther FC Augsburg | 23 | 3 | €800K | €1.1M | +25% |
| #16 | Jan Schröder Eintracht Frankfurt | 23 | 3 | €200K | €267K | +25% |
| #17 | Luca Netz Borussia Mönchengladbach | 23 | 3 | €6.0M | €8.0M | +25% |
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 69.6. That means Almugera Kabar has 19% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is 1.FC Union Berlin's David Preu with a 55.6 RAU (15% upside, 0% uncertainty). Third is Seedy Jarju of 1. Fußballclub Heidenheim 1846 with a 55.6 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 69.6 means the upside is 69.6× 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 | €3.6M | €3.2M-4.0M | +19% | 69.6 |
| #2 | David Preu 1.FC Union Berlin | €459K | €406K-511K | +15% | 55.6 |
| #3 | Seedy Jarju 1. Fußballclub Heidenheim 1846 | €229K | €203K-256K | +15% | 55.6 |
| #4 | Hennes Behrens 1. Fußballclub Heidenheim 1846 | €459K | €406K-511K | +15% | 55.6 |
| #5 | Aaron Zehnter VfL Wolfsburg | €1.7M | €1.5M-1.9M | +15% | 55.6 |
| #6 | Tom Rothe 1.FC Union Berlin | €11.5M | €10.1M-12.8M | +15% | 55.6 |
| #7 | Tim Müller 1.FSV Mainz 05 | €172K | €152K-192K | +15% | 55.6 |
| #8 | Lukas Ullrich Borussia Mönchengladbach | €7.7M | €6.9M-8.5M | +10% | 46.5 |
| #9 | Sanoussy Ba RB Leipzig | €551K | €496K-606K | +10% | 46.5 |
| #10 | Max Finkgräfe RB Leipzig | €6.6M | €6.0M-7.3M | +10% | 46.5 |
| #11 | Nathaniel Brown Eintracht Frankfurt | €38.6M | €34.7M-42.4M | +10% | 46.1 |
| #12 | Vasilios Pavlidis FC Schalke 04 | €159K | €143K-175K | +6% | 27.6 |
| #13 | Guille Bueno Borussia Dortmund | €635K | €572K-699K | +6% | 27.6 |
| #14 | Lasse Günther FC Augsburg | €847K | €762K-931K | +6% | 27.6 |
| #15 | Jan Schröder Eintracht Frankfurt | €212K | €191K-233K | +6% | 27.6 |
| #16 | John Tolkin Holstein Kiel | €2.6M | €2.4M-2.9M | +6% | 27.6 |
| #17 | Luca Netz Borussia Mönchengladbach | €6.4M | €5.7M-7.0M | +6% | 27.6 |
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 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)
FC Augsburg's Lasse Günther in the 21-23 age bracket has the highest Age-Share Concentration at +1.9%. That means Nathaniel Brown captures 96.0% of total market value while representing only 94.1% of players in their age group-showing dominant elite status.
In second is Borussia Mönchengladbach's Luca Netz with a +1.9% ASC (96.0% value share vs 94.1% player share in 21-23 bracket). Third is Vasilios Pavlidis of FC Schalke 04 with a +1.9% ASC (96.0% value vs 94.1% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +1.9% ASC means the player captures 1.9% 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 | Lasse Günther FC Augsburg | 21-23 | 96.0% | 94.1% | +1.9% |
| #2 | Luca Netz Borussia Mönchengladbach | 21-23 | 96.0% | 94.1% | +1.9% |
| #3 | Vasilios Pavlidis FC Schalke 04 | 21-23 | 96.0% | 94.1% | +1.9% |
| #4 | Jan Schröder Eintracht Frankfurt | 21-23 | 96.0% | 94.1% | +1.9% |
| #5 | John Tolkin Holstein Kiel | 21-23 | 96.0% | 94.1% | +1.9% |
| #6 | Nathaniel Brown Eintracht Frankfurt | 21-23 | 96.0% | 94.1% | +1.9% |
| #7 | Sanoussy Ba RB Leipzig | 21-23 | 96.0% | 94.1% | +1.9% |
| #8 | Aaron Zehnter VfL Wolfsburg | 21-23 | 96.0% | 94.1% | +1.9% |
| #9 | David Preu 1.FC Union Berlin | 21-23 | 96.0% | 94.1% | +1.9% |
| #10 | Lukas Ullrich Borussia Mönchengladbach | 21-23 | 96.0% | 94.1% | +1.9% |
| #11 | Tom Rothe 1.FC Union Berlin | 21-23 | 96.0% | 94.1% | +1.9% |
| #12 | Max Finkgräfe RB Leipzig | 21-23 | 96.0% | 94.1% | +1.9% |
| #13 | Seedy Jarju 1. Fußballclub Heidenheim 1846 | 21-23 | 96.0% | 94.1% | +1.9% |
| #14 | Hennes Behrens 1. Fußballclub Heidenheim 1846 | 21-23 | 96.0% | 94.1% | +1.9% |
| #15 | Guille Bueno Borussia Dortmund | 21-23 | 96.0% | 94.1% | +1.9% |
| #16 | Tim Müller 1.FSV Mainz 05 | 21-23 | 96.0% | 94.1% | +1.9% |
| #17 | Almugera Kabar Borussia Dortmund | U21 | 4.0% | 5.9% | -1.9% |
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, 16 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 €35.0M. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Vasilios Pavlidis FC Schalke 04 | €150K | €800K | -0.42 | Fair Value |
Tim Müller 1.FSV Mainz 05 | €150K | €800K | -0.42 | Fair Value |
Jan Schröder Eintracht Frankfurt | €200K | €800K | -0.33 | Fair Value |
Seedy Jarju 1. Fußballclub Heidenheim 1846 | €200K | €800K | -0.33 | Fair Value |
Luca Netz Borussia Mönchengladbach | €6.0M | €800K | -0.25 | Fair Value |
Max Finkgräfe RB Leipzig | €6.0M | €800K | -0.25 | Fair Value |
Nathaniel Brown Eintracht Frankfurt | €35.0M | €800K | 0.00 | Fair Value |
David Preu 1.FC Union Berlin | €400K | €800K | 0.00 | Fair Value |
Lukas Ullrich Borussia Mönchengladbach | €7.0M | €800K | 0.00 | Fair Value |
Hennes Behrens 1. Fußballclub Heidenheim 1846 | €400K | €800K | 0.00 | Fair Value |
Almugera Kabar Borussia Dortmund | €3.0M | €800K | 0.00 | Fair Value |
Sanoussy Ba RB Leipzig | €500K | €800K | +0.17 | Fair Value |
Guille Bueno Borussia Dortmund | €600K | €800K | +0.33 | Fair Value |
Lasse Günther FC Augsburg | €800K | €800K | +0.67 | Above Market |
Tom Rothe 1.FC Union Berlin | €10.0M | €800K | +0.75 | Above Market |
Aaron Zehnter VfL Wolfsburg | €1.5M | €800K | +1.83 | Premium |
John Tolkin Holstein Kiel | €2.5M | €800K | +3.50 | Premium |
Market Overview: Bundesliga Young Left-Backs 2025-26
Our database tracks 17 Bundesliga Young Left-Backs in the 2025-26 season, representing 11 clubs with a combined market value of €74.4M. The average market value for Bundesliga Young Left-Backs is €4.4M, with the average age at 22 years old.
The most valuable young left-back in the Bundesliga is Nathaniel Brown, worth €35.0M and playing for Eintracht Frankfurt at 23 years old. The top 5 Young Left-Backs average €12.8M in market value, including Tom Rothe and Lukas Ullrich.
Age distribution shows the youngest tracked young left-back is Almugera Kabar (20 years, Borussia Dortmund, €3.0M), while the oldest is Nathaniel Brown (23 years, Eintracht Frankfurt, €35.0M). Research shows Young Left-Backs typically peak at age 27.
Our 1-year forecast model projects 17 Young Left-Backs (100%) will increase in market value over the next 12 months based on age-curve trajectories, current performance trends, and playing time analysis. The Bundesliga market for Young Left-Backs remains actively developing with emerging talent in the 2025-26 season.
How We Rank Bundesliga Young Left-Backs
Our Analytical Strength Index is calibrated specifically for young left-backs, 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 LB
Historical Achievement Index (35%)
Peak career market value for Bundesliga young left-backs, 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 Bundesliga young left-backs, capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Defenders with 2,500+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Defenders peak at 27 with 5.0%/year decline rate. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Bundesliga receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
LB Performance Benchmarks
Peak Age: 27 years (balance of physicality and tactical intelligence)
Decline Rate: 5.0% per year (moderate decline as positioning offsets pace loss)
Optimal Minutes: 2,500 per season (regular starter with rotation management)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Defender -5.0%/year post-peak, +5%/year pre-peak
• 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: ±10% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for young left-backs
• 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 Bundesliga Young Left-Backs in the 2025-26 season
Who are the most valuable Young Left-Backs in the Bundesliga in 2025-26?
The most valuable young left-back in the Bundesliga in 2025-26 is Nathaniel Brown, who is worth €35.0M and plays for Eintracht Frankfurt. The second most valuable is Tom Rothe (€10.0M, 1.FC Union Berlin), followed by Lukas Ullrich (€7.0M, Borussia Mönchengladbach). Our database tracks 17 Bundesliga Young Left-Backs with comprehensive market valuations updated for the 2025-26 season.
How are Bundesliga Young Left-Backs ranked?
Bundesliga Young Left-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Young Left-Backs. 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 Bundesliga 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 Left-Backs peak?
Defenders typically peak at age 27, with a decline rate of 5.0% per year after peak. Research shows defenders balance physical attributes with tactical intelligence, allowing them to maintain high performance through their late 20s. The optimal playing time for peak performance is around 2,500 minutes per season.
How much does it cost to sign a top young left-back from the Bundesliga?
Transfer fees for Bundesliga Young Left-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked young left-back Nathaniel Brown (market value: €35.0M), estimated transfer fees would range from €28.0M to €49.0M 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 Bundesliga transactions.
What is the value forecast for Bundesliga Young Left-Backs?
Our 1-year forecast model projects market value changes for Bundesliga Young Left-Backs based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players gain ~5% per year toward peak age, post-peak players decline at position-specific rates), 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-defenders have ±10% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Bundesliga young left-back data come from?
Our Bundesliga young left-back 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 Bundesliga sources and updated monthly for the 2025-26 season to ensure accuracy for recruitment and investment decisions.