Best Right-Backs in the Bundesliga (Jul 2026)
Ranked by Analytical Strength Index
Market Overview: Bundesliga Right-Backs 2024-25
Our database tracked 91 Bundesliga Right-Backs in the 2024-25 season, representing 29 clubs with a combined market value of €331.5M. The average market value for Bundesliga Right-Backs was €3.6M, with the average age at 30 years old.
The most valuable right-back in the Bundesliga was Lutsharel Geertruida, worth €32.0M and played for RB Leipzig at 25 years old. The top 5 Right-Backs averaged €27.2M in market value, including Konrad Laimer and Josip Stanisic.
Age distribution showed the youngest tracked right-back was Luca Erlein (19 years, TSG 1899 Hoffenheim, €1.3M), while the oldest was Markus Steinhöfer (40 years, SV Darmstadt 98, €250K). Research shows Right-Backs typically peak at age 27.
Historical analysis showed 27 Right-Backs (30%) 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 Right-Backs remained actively developing with emerging talent in the 2024-25 season.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Right-Backs. Identify undervalued assets and track market momentum across 29 clubs with €331.5M combined value.
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 Distribution: Bundesliga Right-Backs
The Bundesliga RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (44 players, 48% of market). The 24-26 age group holds the most value at €164.5M, averaging €9.1M per player.
Top Right-Backs by Age Bracket
U21 Years (5 players)
21-23 Years (9 players)
24-26 Years (18 players)
27-29 Years (15 players)
Market Value Distribution
Elite Tier Concentration
The top 10 Right-Backs (11% of players) control €207.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 3% of the Bundesliga RB pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Bundesliga Right-Backs
Among 29 Bundesliga clubs, Bayern Munich leads with 3 Right-Backs worth €79.0M (averaging €26.3M per player). The top 10 clubs account for 49% of tracked Right-Backs.
Bayern Munich (3 Right-Backs)
RB Leipzig (4 Right-Backs)
Borussia Dortmund (4 Right-Backs)
VfB Stuttgart (8 Right-Backs)
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Lutsharel Geertruida
RB Leipzig • 25 years old
€27.7M
€32.0M
+15.6%
Expected: €34.1M
84.0
Konrad Laimer
Bayern Munich • 29 years old
€41.3M
€32.0M
-22.6%
Expected: €29.5M
83.7
Josip Stanisic
Bayern Munich • 26 years old
€27.7M
€32.0M
+15.6%
Expected: €32.6M
83.7
Yan Couto
Borussia Dortmund • 24 years old
€17.3M
€20.0M
+15.6%
Expected: €21.4M
74.9
Benjamin Henrichs
RB Leipzig • 29 years old
€25.8M
€20.0M
-22.6%
Expected: €17.7M
74.0
Julian Ryerson
Borussia Dortmund • 28 years old
€21.1M
€20.0M
-5.4%
Expected: €17.7M
73.7
Sacha Boey
Bayern Munich • 25 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
70.9
Rasmus Nissen Kristensen
Eintracht Frankfurt • 29 years old
€18.1M
€14.0M
-22.6%
Expected: €12.4M
69.4
Lorenz Assignon
VfB Stuttgart • 26 years old
€10.4M
€12.0M
+15.6%
Expected: €11.7M
67.5
Josha Vagnoman
VfB Stuttgart • 25 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
62.0
Anthony Caci
1.FSV Mainz 05 • 29 years old
€12.9M
€10.0M
-22.6%
Expected: €8.8M
61.6
Philipp Treu
SC Freiburg • 25 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
59.2
Kilian Fischer
VfL Wolfsburg • 25 years old
€6.5M
€7.5M
+15.6%
Expected: €7.7M
58.4
Yukinari Sugawara
SV Werder Bremen • 26 years old
€6.5M
€7.5M
+15.6%
Expected: €7.3M
57.9
Joe Scally
Borussia Mönchengladbach • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
57.6
Arthur
Bayer 04 Leverkusen • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
57.6
Valentin Gendrey
TSG 1899 Hoffenheim • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €6.8M
57.0
Ridle Baku
RB Leipzig • 28 years old
€7.4M
€7.0M
-5.4%
Expected: €6.2M
56.8
Sebastian Sebulonsen
1.FC Köln • 26 years old
€4.8M
€5.5M
+15.6%
Expected: €5.4M
54.0
Leonidas Stergiou
VfB Stuttgart • 24 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
49.2
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)
Borussia Mönchengladbach's Joe Scally at 23 years old has the highest Pre-Peak Value Efficiency at 15.56×. That means Joe Scally is valued 15.56× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Bayer 04 Leverkusen's Arthur, who is 23 years old, with a 15.56× PPVE. Third is Lutsharel Geertruida of RB Leipzig, who is 25 years old with a 4.27× 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 15.56× means the player is worth 1456% 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 | Joe Scally Borussia Mönchengladbach | 23 | 21-23 | €7.0M | €450K | 15.56× |
| #2 | Arthur Bayer 04 Leverkusen | 23 | 21-23 | €7.0M | €450K | 15.56× |
| #3 | Lutsharel Geertruida RB Leipzig | 25 | 24-26 | €32.0M | €7.5M | 4.27× |
| #4 | Yan Couto Borussia Dortmund | 24 | 24-26 | €20.0M | €7.5M | 2.67× |
| #5 | William Mikelbrencis Hamburger SV | 22 | 21-23 | €1.0M | €450K | 2.22× |
| #6 | Sacha Boey Bayern Munich | 25 | 24-26 | €15.0M | €7.5M | 2.00× |
| #7 | Josha Vagnoman VfB Stuttgart | 25 | 24-26 | €10.0M | €7.5M | 1.33× |
| #8 | Luca Erlein TSG 1899 Hoffenheim | 19 | U21 | €1.3M | €1.0M | 1.30× |
| #9 | Simon Walde Borussia Mönchengladbach | 21 | 21-23 | €500K | €450K | 1.11× |
| #10 | Philipp Treu SC Freiburg | 25 | 24-26 | €8.0M | €7.5M | 1.07× |
| #11 | Jan Bürger VfL Wolfsburg | 19 | U21 | €1.0M | €1.0M | 1.00× |
| #12 | Kilian Fischer VfL Wolfsburg | 25 | 24-26 | €7.5M | €7.5M | 1.00× |
| #13 | Fin Stevens FC St. Pauli | 23 | 21-23 | €450K | €450K | 1.00× |
| #14 | Elias Baum Eintracht Frankfurt | 20 | U21 | €1.0M | €1.0M | 1.00× |
| #15 | Julian Eitschberger Hertha BSC | 22 | 21-23 | €350K | €450K | 0.78× |
| #16 | Kacper Koscierski VfL Bochum | 19 | U21 | €700K | €1.0M | 0.70× |
| #17 | Lion Semic Borussia Dortmund | 22 | 21-23 | €300K | €450K | 0.67× |
| #18 | Christopher Olivier VfB Stuttgart | 20 | U21 | €500K | €1.0M | 0.50× |
| #19 | Leonidas Stergiou VfB Stuttgart | 24 | 24-26 | €3.5M | €7.5M | 0.47× |
| #20 | Niklas Jessen Borussia Dortmund | 22 | 21-23 | €200K | €450K | 0.44× |
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)
TSG 1899 Hoffenheim's Luca Erlein at 19 years old has the highest Return-to-Peak Potential at +44%. That means Luca Erlein is projected to appreciate 44% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is VfL Bochum's Kacper Koscierski, who is 19 years old, with a +44% RPP (7 years to peak). Third is Jan Bürger of VfL Wolfsburg, who is 19 years old with a +44% RPP (7 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 44% RPP means the player is expected to gain 44% 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 | Luca Erlein TSG 1899 Hoffenheim | 19 | 7 | €1.3M | €2.3M | +44% |
| #2 | Kacper Koscierski VfL Bochum | 19 | 7 | €700K | €1.3M | +44% |
| #3 | Jan Bürger VfL Wolfsburg | 19 | 7 | €1.0M | €1.8M | +44% |
| #4 | Elias Baum Eintracht Frankfurt | 20 | 6 | €1.0M | €1.7M | +40% |
| #5 | Christopher Olivier VfB Stuttgart | 20 | 6 | €500K | €831K | +40% |
| #6 | Simon Walde Borussia Mönchengladbach | 21 | 5 | €500K | €773K | +35% |
| #7 | Julian Eitschberger Hertha BSC | 22 | 4 | €350K | €503K | +30% |
| #8 | William Mikelbrencis Hamburger SV | 22 | 4 | €1.0M | €1.4M | +30% |
| #9 | Lion Semic Borussia Dortmund | 22 | 4 | €300K | €431K | +30% |
| #10 | Mattis Hoppe VfB Stuttgart | 22 | 4 | €150K | €216K | +30% |
| #11 | Niklas Jessen Borussia Dortmund | 22 | 4 | €200K | €287K | +30% |
| #12 | Joe Scally Borussia Mönchengladbach | 23 | 3 | €7.0M | €9.4M | +25% |
| #13 | Arthur Bayer 04 Leverkusen | 23 | 3 | €7.0M | €9.4M | +25% |
| #14 | Fin Stevens FC St. Pauli | 23 | 3 | €450K | €602K | +25% |
| #15 | Lasse Rosenboom Holstein Kiel | 24 | 2 | €1.2M | €1.5M | +20% |
| #16 | Yan Couto Borussia Dortmund | 24 | 2 | €20.0M | €24.9M | +20% |
| #17 | Jannis Lang VfL Wolfsburg | 24 | 2 | €125K | €155K | +20% |
| #18 | Kaan Kurt Borussia Mönchengladbach | 24 | 2 | €200K | €249K | +20% |
| #19 | Leonidas Stergiou VfB Stuttgart | 24 | 2 | €3.5M | €4.4M | +20% |
| #20 | Philipp Treu SC Freiburg | 25 | 1 | €8.0M | €9.2M | +14% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
TSG 1899 Hoffenheim's Luca Erlein has the highest Risk-Adjusted Upside at 82.7. That means Luca Erlein has 23% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is VfL Bochum's Kacper Koscierski with a 82.7 RAU (23% upside, 0% uncertainty). Third is Jan Bürger of VfL Wolfsburg with a 82.7 RAU (23% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 82.7 means the upside is 82.7× 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 | Luca Erlein TSG 1899 Hoffenheim | €1.6M | €1.4M-1.8M | +23% | 82.7 |
| #2 | Kacper Koscierski VfL Bochum | €864K | €765K-964K | +23% | 82.7 |
| #3 | Jan Bürger VfL Wolfsburg | €1.2M | €1.1M-1.4M | +23% | 82.7 |
| #4 | Elias Baum Eintracht Frankfurt | €1.2M | €1.1M-1.3M | +19% | 69.6 |
| #5 | Christopher Olivier VfB Stuttgart | €595K | €527K-664K | +19% | 69.6 |
| #6 | Simon Walde Borussia Mönchengladbach | €573K | €507K-639K | +15% | 55.6 |
| #7 | Julian Eitschberger Hertha BSC | €386K | €347K-424K | +10% | 46.5 |
| #8 | William Mikelbrencis Hamburger SV | €1.1M | €992K-1.2M | +10% | 46.5 |
| #9 | Lion Semic Borussia Dortmund | €331K | €298K-364K | +10% | 46.5 |
| #10 | Mattis Hoppe VfB Stuttgart | €165K | €149K-182K | +10% | 46.5 |
| #11 | Niklas Jessen Borussia Dortmund | €221K | €198K-243K | +10% | 46.5 |
| #12 | Jannis Lang VfL Wolfsburg | €134K | €120K-147K | +7% | 33.0 |
| #13 | Lasse Rosenboom Holstein Kiel | €1.3M | €1.2M-1.4M | +7% | 33.0 |
| #14 | Yan Couto Borussia Dortmund | €21.4M | €19.3M-23.6M | +7% | 33.0 |
| #15 | Leonidas Stergiou VfB Stuttgart | €3.7M | €3.4M-4.1M | +7% | 33.0 |
| #16 | Kaan Kurt Borussia Mönchengladbach | €214K | €193K-236K | +7% | 33.0 |
| #17 | Lutsharel Geertruida RB Leipzig | €34.1M | €30.7M-37.5M | +7% | 30.9 |
| #18 | Joe Scally Borussia Mönchengladbach | €7.4M | €6.7M-8.1M | +6% | 27.6 |
| #19 | Arthur Bayer 04 Leverkusen | €7.4M | €6.7M-8.1M | +6% | 27.6 |
| #20 | Fin Stevens FC St. Pauli | €476K | €429K-524K | +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: right-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)
1. Fußballclub Heidenheim 1846's Marnon Busch in the 30+ age bracket has the highest Age-Share Concentration at +-38.1%. That means Mitchell Weiser captures 10.3% of total market value while representing only 48.4% of players in their age group-showing dominant elite status.
In second is Fortuna Düsseldorf's Jean Zimmer with a +-38.1% ASC (10.3% value share vs 48.4% player share in 30+ bracket). Third is Mitchell Weiser of SV Werder Bremen with a +-38.1% ASC (10.3% value vs 48.4% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-38.1% ASC means the player captures -38.1% 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 | Marnon Busch 1. Fußballclub Heidenheim 1846 | 30+ | 10.3% | 48.4% | -38.1% |
| #2 | Jean Zimmer Fortuna Düsseldorf | 30+ | 10.3% | 48.4% | -38.1% |
| #3 | Mitchell Weiser SV Werder Bremen | 30+ | 10.3% | 48.4% | -38.1% |
| #4 | Cristian Gamboa VfL Bochum | 30+ | 10.3% | 48.4% | -38.1% |
| #5 | Luca Zander SV Werder Bremen | 30+ | 10.3% | 48.4% | -38.1% |
| #6 | Raphael Framberger FC Augsburg | 30+ | 10.3% | 48.4% | -38.1% |
| #7 | Cédric Brunner FC Schalke 04 | 30+ | 10.3% | 48.4% | -38.1% |
| #8 | Marco Thiede FC Augsburg | 30+ | 10.3% | 48.4% | -38.1% |
| #9 | Vladimír Coufal TSG 1899 Hoffenheim | 30+ | 10.3% | 48.4% | -38.1% |
| #10 | Benno Schmitz 1.FC Köln | 30+ | 10.3% | 48.4% | -38.1% |
| #11 | Markus Steinhöfer SV Darmstadt 98 | 30+ | 10.3% | 48.4% | -38.1% |
| #12 | Silvan Widmer 1.FSV Mainz 05 | 30+ | 10.3% | 48.4% | -38.1% |
| #13 | Herbert Bockhorn VfL Bochum | 30+ | 10.3% | 48.4% | -38.1% |
| #14 | Marius Wolf FC Augsburg | 30+ | 10.3% | 48.4% | -38.1% |
| #15 | Pascal Stenzel VfB Stuttgart | 30+ | 10.3% | 48.4% | -38.1% |
| #16 | Marco Meyerhöfer SpVgg Greuther Fürth | 30+ | 10.3% | 48.4% | -38.1% |
| #17 | Florian Klein VfB Stuttgart | 30+ | 10.3% | 48.4% | -38.1% |
| #18 | Lucas Vázquez Bayer 04 Leverkusen | 30+ | 10.3% | 48.4% | -38.1% |
| #19 | John-Patrick Strauß RB Leipzig | 30+ | 10.3% | 48.4% | -38.1% |
| #20 | Atsuto Uchida FC Schalke 04 | 30+ | 10.3% | 48.4% | -38.1% |
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: 5 immediate targets, 15 standard acquisitions, 0 watch-list prospects, 18 at peak.
BUY NOW - High Upside
WATCH LIST - High Upside
No players in this category
BUY NOW - Medium Upside
PEAK Players
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 €32.0M. 1 undervalued, 10 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Christopher Olivier VfB Stuttgart | €500K | €700K | -1.67 | Undervalued |
Kacper Koscierski VfL Bochum | €700K | €700K | -1.00 | Good Value |
Sacha Boey Bayern Munich | €15.0M | €700K | -1.00 | Good Value |
Jannis Lang VfL Wolfsburg | €125K | €700K | -0.83 | Good Value |
Kaan Kurt Borussia Mönchengladbach | €200K | €700K | -0.77 | Good Value |
Ryan Johansson SC Freiburg | €250K | €700K | -0.73 | Good Value |
Tobias Schilk 1.FSV Mainz 05 | €125K | €700K | -0.70 | Good Value |
Sebastian Sebulonsen 1.FC Köln | €5.5M | €700K | -0.67 | Good Value |
Mattis Hoppe VfB Stuttgart | €150K | €700K | -0.67 | Good Value |
Michael Schulze VfL Wolfsburg | €150K | €700K | -0.65 | Good Value |
Georg Teigl FC Augsburg | €150K | €700K | -0.65 | Good Value |
Oliver Sorg Hannover 96 | €175K | €700K | -0.60 | Good Value |
Benjamin Kessel Eintracht Braunschweig | €200K | €700K | -0.55 | Good Value |
Kevin Großkreutz VfB Stuttgart | €200K | €700K | -0.55 | Good Value |
Julian Korb Hannover 96 | €200K | €700K | -0.55 | Good Value |
Niklas Jessen Borussia Dortmund | €200K | €700K | -0.50 | Fair Value |
Markus Steinhöfer SV Darmstadt 98 | €250K | €700K | -0.45 | Fair Value |
Ridle Baku RB Leipzig | €7.0M | €700K | -0.43 | Fair Value |
Stefano Celozzi Eintracht Frankfurt | €300K | €700K | -0.35 | Fair Value |
Enrico Valentini 1.FC Nuremberg | €300K | €700K | -0.35 | Fair Value |
How We Rank Bundesliga Right-Backs
Our Analytical Strength Index is calibrated specifically for right-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 RB
Historical Achievement Index (35%)
Peak career market value for Bundesliga right-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 right-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.
RB 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 right-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 Right-Backs in the 2024-25 season
Who are the most valuable Right-Backs in the Bundesliga in 2024-25?
The most valuable right-back in the Bundesliga in 2024-25 is Lutsharel Geertruida, who is worth €32.0M and plays for RB Leipzig. The second most valuable is Konrad Laimer (€32.0M, Bayern Munich), followed by Josip Stanisic (€32.0M, Bayern Munich). Our database tracks 91 Bundesliga Right-Backs with comprehensive market valuations updated for the 2024-25 season.
How are Bundesliga Right-Backs ranked?
Bundesliga Right-Backs are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Right-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 Right-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 right-back from the Bundesliga?
Transfer fees for Bundesliga Right-Backs vary significantly based on market value, contract length, and club bargaining position. For the top-ranked right-back Lutsharel Geertruida (market value: €32.0M), estimated transfer fees would range from €25.6M to €44.8M 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 Bundesliga transactions.
What is the value forecast for Bundesliga Right-Backs?
Our 1-year forecast model projects market value changes for Bundesliga Right-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 right-back data come from?
Our Bundesliga right-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 2024-25 season to ensure accuracy for recruitment and investment decisions.