Best Right-Backs in the Bundesliga (Sep 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.
Josip Stanisic
Bayern Munich • 26 years old
€34.6M
€40.0M
+15.6%
Expected: €41.1M
87.0
Konrad Laimer
Bayern Munich • 29 years old
€33.8M
€32.0M
-5.4%
Expected: €27.9M
83.4
Julian Ryerson
Borussia Dortmund • 28 years old
€21.6M
€25.0M
+15.6%
Expected: €24.0M
76.3
Lutsharel Geertruida
RB Leipzig • 26 years old
€17.3M
€20.0M
+15.6%
Expected: €20.5M
74.4
Yan Couto
Borussia Dortmund • 24 years old
€14.7M
€17.0M
+15.6%
Expected: €16.5M
72.5
Philipp Treu
SC Freiburg • 25 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
71.3
Ridle Baku
RB Leipzig • 28 years old
€10.4M
€12.0M
+15.6%
Expected: €11.5M
67.0
Sacha Boey
Bayern Munich • 25 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
62.7
Josha Vagnoman
VfB Stuttgart • 25 years old
€8.6M
€10.0M
+15.6%
Expected: €10.2M
62.5
Rasmus Nissen Kristensen
Eintracht Frankfurt • 29 years old
€10.6M
€10.0M
-5.4%
Expected: €8.4M
61.3
Lorenz Assignon
VfB Stuttgart • 26 years old
€7.8M
€9.0M
+15.6%
Expected: €9.2M
60.7
Arthur
Bayer 04 Leverkusen • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €7.8M
59.1
Joe Scally
Borussia Mönchengladbach • 23 years old
€6.1M
€7.0M
+15.6%
Expected: €6.8M
57.4
Anthony Caci
1.FSV Mainz 05 • 29 years old
€7.4M
€7.0M
-5.4%
Expected: €5.9M
56.8
Benjamin Henrichs
RB Leipzig • 29 years old
€7.4M
€7.0M
-5.4%
Expected: €5.9M
56.8
Valentin Gendrey
TSG 1899 Hoffenheim • 26 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.6
Kosta Nedeljkovic
RB Leipzig • 20 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.6
Sebastian Sebulonsen
1.FC Köln • 26 years old
€4.8M
€5.5M
+15.6%
Expected: €5.6M
54.5
Yukinari Sugawara
SV Werder Bremen • 26 years old
€4.8M
€5.5M
+15.6%
Expected: €5.6M
54.5
Kilian Fischer
VfL Wolfsburg • 25 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
50.9
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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 €323.5M combined value.
Age Distribution: Bundesliga Right-Backs
The Bundesliga RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (44 players, 46% of market). The 24-26 age group holds the most value at €151.9M, averaging €7.6M per player.
Top Right-Backs by Age Bracket
U21 Years (6 players)
21-23 Years (10 players)
24-26 Years (20 players)
27-29 Years (15 players)
Market Value Distribution
Elite Tier Concentration
The top 10 Right-Backs (11% of players) control €191.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 2% 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 €82.0M (averaging €27.3M per player). The top 10 clubs account for 46% of tracked Right-Backs.
Bayern Munich (3 Right-Backs)
RB Leipzig (5 Right-Backs)
Borussia Dortmund (4 Right-Backs)
VfB Stuttgart (8 Right-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)
Bayer 04 Leverkusen's Arthur at 23 years old has the highest Pre-Peak Value Efficiency at 16.00×. That means Arthur is valued 16.00× higher than the median player in the 21-23 age bracket-representing exceptional value before reaching peak age.
In second is Borussia Mönchengladbach's Joe Scally, who is 23 years old, with a 14.00× PPVE. Third is Arkadiusz Pyrka of FC St. Pauli, who is 23 years old with a 7.00× 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 16.00× means the player is worth 1500% 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 | Arthur Bayer 04 Leverkusen | 23 | 21-23 | €8.0M | €500K | 16.00× |
| #2 | Joe Scally Borussia Mönchengladbach | 23 | 21-23 | €7.0M | €500K | 14.00× |
| #3 | Arkadiusz Pyrka FC St. Pauli | 23 | 21-23 | €3.5M | €500K | 7.00× |
| #4 | Yan Couto Borussia Dortmund | 24 | 24-26 | €17.0M | €2.5M | 6.80× |
| #5 | Philipp Treu SC Freiburg | 25 | 24-26 | €15.0M | €2.5M | 6.00× |
| #6 | William Mikelbrencis Hamburger SV | 22 | 21-23 | €3.0M | €500K | 6.00× |
| #7 | Josha Vagnoman VfB Stuttgart | 25 | 24-26 | €10.0M | €2.5M | 4.00× |
| #8 | Sacha Boey Bayern Munich | 25 | 24-26 | €10.0M | €2.5M | 4.00× |
| #9 | Kosta Nedeljkovic RB Leipzig | 20 | U21 | €6.0M | €3.0M | 2.00× |
| #10 | Kilian Fischer VfL Wolfsburg | 25 | 24-26 | €4.0M | €2.5M | 1.60× |
| #11 | Elias Baum Eintracht Frankfurt | 20 | U21 | €4.0M | €3.0M | 1.33× |
| #12 | Jan Bürger VfL Wolfsburg | 19 | U21 | €3.0M | €3.0M | 1.00× |
| #13 | Leonidas Stergiou VfB Stuttgart | 24 | 24-26 | €2.5M | €2.5M | 1.00× |
| #14 | Fin Stevens FC St. Pauli | 23 | 21-23 | €500K | €500K | 1.00× |
| #15 | Simon Walde Borussia Mönchengladbach | 21 | 21-23 | €500K | €500K | 1.00× |
| #16 | Julian Eitschberger Hertha BSC | 22 | 21-23 | €350K | €500K | 0.70× |
| #17 | Simon Asta SpVgg Greuther Fürth | 25 | 24-26 | €1.5M | €2.5M | 0.60× |
| #18 | Lion Semic Borussia Dortmund | 22 | 21-23 | €300K | €500K | 0.60× |
| #19 | Lasse Rosenboom Holstein Kiel | 24 | 24-26 | €1.2M | €2.5M | 0.48× |
| #20 | Luca Erlein TSG 1899 Hoffenheim | 19 | U21 | €1.3M | €3.0M | 0.43× |
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)
VfL Bochum's Kacper Koscierski at 19 years old has the highest Return-to-Peak Potential at +48%. That means Kacper Koscierski is projected to appreciate 48% as they reach their peak age in 7 years-representing significant upside before entering their prime.
In second is VfL Wolfsburg's Jan Bürger, who is 19 years old, with a +48% RPP (7 years to peak). Third is Luca Erlein of TSG 1899 Hoffenheim, who is 19 years old with a +48% 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 48% RPP means the player is expected to gain 48% 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 | Kacper Koscierski VfL Bochum | 19 | 7 | €700K | €1.3M | +48% |
| #2 | Jan Bürger VfL Wolfsburg | 19 | 7 | €3.0M | €5.8M | +48% |
| #3 | Luca Erlein TSG 1899 Hoffenheim | 19 | 7 | €1.3M | €2.5M | +48% |
| #4 | Kosta Nedeljkovic RB Leipzig | 20 | 6 | €6.0M | €10.7M | +44% |
| #5 | Elias Baum Eintracht Frankfurt | 20 | 6 | €4.0M | €7.1M | +44% |
| #6 | Christopher Olivier VfB Stuttgart | 20 | 6 | €500K | €894K | +44% |
| #7 | Simon Walde Borussia Mönchengladbach | 21 | 5 | €500K | €831K | +40% |
| #8 | Julian Eitschberger Hertha BSC | 22 | 4 | €350K | €541K | +35% |
| #9 | William Mikelbrencis Hamburger SV | 22 | 4 | €3.0M | €4.6M | +35% |
| #10 | Lion Semic Borussia Dortmund | 22 | 4 | €300K | €464K | +35% |
| #11 | Niklas Jessen Borussia Dortmund | 22 | 4 | €200K | €309K | +35% |
| #12 | Fin Stevens FC St. Pauli | 23 | 3 | €500K | €719K | +30% |
| #13 | Arthur Bayer 04 Leverkusen | 23 | 3 | €8.0M | €11.5M | +30% |
| #14 | Mattis Hoppe VfB Stuttgart | 23 | 3 | €150K | €216K | +30% |
| #15 | Joe Scally Borussia Mönchengladbach | 23 | 3 | €7.0M | €10.1M | +30% |
| #16 | Arkadiusz Pyrka FC St. Pauli | 23 | 3 | €3.5M | €5.0M | +30% |
| #17 | Leonidas Stergiou VfB Stuttgart | 24 | 2 | €2.5M | €3.3M | +25% |
| #18 | Jannis Lang VfL Wolfsburg | 24 | 2 | €125K | €167K | +25% |
| #19 | Lasse Rosenboom Holstein Kiel | 24 | 2 | €1.2M | €1.6M | +25% |
| #20 | Kaan Kurt Borussia Mönchengladbach | 24 | 2 | €200K | €267K | +25% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
VfL Bochum's Kacper Koscierski has the highest Risk-Adjusted Upside at 40.4. That means Kacper Koscierski has 10% upside potential with only 0% forecast uncertainty-representing excellent risk-reward for value appreciation.
In second is VfL Wolfsburg's Jan Bürger with a 40.4 RAU (10% upside, 0% uncertainty). Third is Kosta Nedeljkovic of RB Leipzig with a 40.4 RAU (10% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 40.4 means the upside is 40.4× 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 | Kacper Koscierski VfL Bochum | €772K | €683K-861K | +10% | 40.4 |
| #2 | Jan Bürger VfL Wolfsburg | €3.3M | €2.9M-3.7M | +10% | 40.4 |
| #3 | Kosta Nedeljkovic RB Leipzig | €6.6M | €5.9M-7.4M | +10% | 40.4 |
| #4 | Elias Baum Eintracht Frankfurt | €4.4M | €3.9M-4.9M | +10% | 40.4 |
| #5 | Christopher Olivier VfB Stuttgart | €551K | €488K-615K | +10% | 40.4 |
| #6 | Luca Erlein TSG 1899 Hoffenheim | €1.4M | €1.3M-1.6M | +10% | 40.4 |
| #7 | Josip Stanisic Bayern Munich | €41.1M | €37.0M-45.2M | +3% | 13.2 |
| #8 | Lorenz Assignon VfB Stuttgart | €9.2M | €8.3M-10.1M | +2% | 11.8 |
| #9 | Henri Koudossou FC Augsburg | €1.2M | €1.1M-1.4M | +2% | 11.8 |
| #10 | Ryan Johansson SC Freiburg | €256K | €230K-282K | +2% | 11.8 |
| #11 | Jusuf Gazibegovic 1.FC Köln | €2.0M | €1.8M-2.3M | +2% | 11.8 |
| #12 | Kilian Fischer VfL Wolfsburg | €4.1M | €3.7M-4.5M | +2% | 11.8 |
| #13 | Yukinari Sugawara SV Werder Bremen | €5.6M | €5.1M-6.2M | +2% | 11.8 |
| #14 | Sebastian Sebulonsen 1.FC Köln | €5.6M | €5.1M-6.2M | +2% | 11.8 |
| #15 | Philipp Treu SC Freiburg | €15.4M | €13.8M-16.9M | +2% | 11.8 |
| #16 | Lutsharel Geertruida RB Leipzig | €20.5M | €18.4M-22.5M | +2% | 11.8 |
| #17 | Josha Vagnoman VfB Stuttgart | €10.2M | €9.2M-11.3M | +2% | 11.8 |
| #18 | Sacha Boey Bayern Munich | €10.2M | €9.2M-11.3M | +2% | 11.8 |
| #19 | Simon Asta SpVgg Greuther Fürth | €1.5M | €1.4M-1.7M | +2% | 11.8 |
| #20 | Valentin Gendrey TSG 1899 Hoffenheim | €6.1M | €5.5M-6.8M | +2% | 11.8 |
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 +-36.6%. That means Mitchell Weiser captures 9.8% of total market value while representing only 46.3% of players in their age group-showing dominant elite status.
In second is Fortuna Düsseldorf's Jean Zimmer with a +-36.6% ASC (9.8% value share vs 46.3% player share in 30+ bracket). Third is Mitchell Weiser of SV Werder Bremen with a +-36.6% ASC (9.8% value vs 46.3% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-36.6% ASC means the player captures -36.6% 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+ | 9.8% | 46.3% | -36.6% |
| #2 | Jean Zimmer Fortuna Düsseldorf | 30+ | 9.8% | 46.3% | -36.6% |
| #3 | Mitchell Weiser SV Werder Bremen | 30+ | 9.8% | 46.3% | -36.6% |
| #4 | Cristian Gamboa VfL Bochum | 30+ | 9.8% | 46.3% | -36.6% |
| #5 | Luca Zander SV Werder Bremen | 30+ | 9.8% | 46.3% | -36.6% |
| #6 | Raphael Framberger FC Augsburg | 30+ | 9.8% | 46.3% | -36.6% |
| #7 | Cédric Brunner FC Schalke 04 | 30+ | 9.8% | 46.3% | -36.6% |
| #8 | Marco Thiede FC Augsburg | 30+ | 9.8% | 46.3% | -36.6% |
| #9 | Vladimír Coufal TSG 1899 Hoffenheim | 30+ | 9.8% | 46.3% | -36.6% |
| #10 | Benno Schmitz 1.FC Köln | 30+ | 9.8% | 46.3% | -36.6% |
| #11 | Markus Steinhöfer SV Darmstadt 98 | 30+ | 9.8% | 46.3% | -36.6% |
| #12 | Silvan Widmer 1.FSV Mainz 05 | 30+ | 9.8% | 46.3% | -36.6% |
| #13 | Herbert Bockhorn VfL Bochum | 30+ | 9.8% | 46.3% | -36.6% |
| #14 | Marius Wolf FC Augsburg | 30+ | 9.8% | 46.3% | -36.6% |
| #15 | Pascal Stenzel VfB Stuttgart | 30+ | 9.8% | 46.3% | -36.6% |
| #16 | Marco Meyerhöfer SpVgg Greuther Fürth | 30+ | 9.8% | 46.3% | -36.6% |
| #17 | Florian Klein VfB Stuttgart | 30+ | 9.8% | 46.3% | -36.6% |
| #18 | Lucas Vázquez Bayer 04 Leverkusen | 30+ | 9.8% | 46.3% | -36.6% |
| #19 | John-Patrick Strauß RB Leipzig | 30+ | 9.8% | 46.3% | -36.6% |
| #20 | Atsuto Uchida FC Schalke 04 | 30+ | 9.8% | 46.3% | -36.6% |
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: 0 immediate targets, 6 standard acquisitions, 10 watch-list prospects, 24 at peak.
BUY NOW - High Upside
No players in this category
WATCH LIST - High Upside
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 €300K. 0 undervalued, 8 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Joe Scally Borussia Mönchengladbach | €7.0M | €800K | -1.00 | Good Value |
Yukinari Sugawara SV Werder Bremen | €5.5M | €800K | -0.78 | Good Value |
Sebastian Sebulonsen 1.FC Köln | €5.5M | €800K | -0.78 | Good Value |
Tobias Schilk 1.FSV Mainz 05 | €125K | €800K | -0.70 | Good Value |
Valentin Gendrey TSG 1899 Hoffenheim | €6.0M | €800K | -0.67 | Good Value |
Michael Schulze VfL Wolfsburg | €150K | €800K | -0.65 | Good Value |
Georg Teigl FC Augsburg | €150K | €800K | -0.65 | Good Value |
Jannis Lang VfL Wolfsburg | €125K | €800K | -0.61 | Good Value |
Benjamin Henrichs RB Leipzig | €7.0M | €800K | -0.60 | Good Value |
Anthony Caci 1.FSV Mainz 05 | €7.0M | €800K | -0.60 | Good Value |
Oliver Sorg Hannover 96 | €175K | €800K | -0.60 | Good Value |
Kaan Kurt Borussia Mönchengladbach | €200K | €800K | -0.57 | Good Value |
Benjamin Kessel Eintracht Braunschweig | €200K | €800K | -0.55 | Good Value |
Kevin Großkreutz VfB Stuttgart | €200K | €800K | -0.55 | Good Value |
Julian Korb Hannover 96 | €200K | €800K | -0.55 | Good Value |
Ryan Johansson SC Freiburg | €250K | €800K | -0.54 | Good Value |
Markus Steinhöfer SV Darmstadt 98 | €250K | €800K | -0.45 | Fair Value |
Philipp Treu SC Freiburg | €15.0M | €800K | -0.40 | Fair Value |
Stefano Celozzi Eintracht Frankfurt | €300K | €800K | -0.35 | Fair Value |
Enrico Valentini 1.FC Nuremberg | €300K | €800K | -0.35 | Fair Value |
Market Overview: Bundesliga Right-Backs 2023-24
Our database tracked 95 Bundesliga Right-Backs in the 2023-24 season, representing 29 clubs with a combined market value of €323.5M. The average market value for Bundesliga Right-Backs was €3.4M, with the average age at 29 years old.
The most valuable right-back in the Bundesliga was Josip Stanisic, worth €40.0M and played for Bayern Munich at 26 years old. The top 5 Right-Backs averaged €26.8M in market value, including Konrad Laimer and Julian Ryerson.
Age distribution showed the youngest tracked right-back was Jan Bürger (19 years, VfL Wolfsburg, €3.0M), while the oldest was Markus Steinhöfer (40 years, SV Darmstadt 98, €250K). Research shows Right-Backs typically peak at age 28.
Historical analysis showed 25 Right-Backs (26%) 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 2023-24 season.
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 28 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: 28 years (balance of physicality and tactical intelligence)
Decline Rate: Widening steps, not a flat rate: about -5% at 29, -10% at 30, steeper from 31 (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: Compounding and banded around a peak of 28: +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: ±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 2023-24 season
Who are the most valuable Right-Backs in the Bundesliga in 2023-24?
The most valuable right-back in the Bundesliga in 2023-24 is Josip Stanisic, who is worth €40.0M and plays for Bayern Munich. The second most valuable is Konrad Laimer (€32.0M, Bayern Munich), followed by Julian Ryerson (€25.0M, Borussia Dortmund). Our database tracks 95 Bundesliga Right-Backs with comprehensive market valuations updated for the 2023-24 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 28. In our valuation model, value then falls in widening steps rather than at a flat annual rate: around -5% at 29, -10% at 30, and -25% or more from 31. 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 Josip Stanisic (market value: €40.0M), estimated transfer fees would range from €32.0M to €56.0M 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 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 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-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 2023-24 season to ensure accuracy for recruitment and investment decisions.