Best Right-Backs in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Right-Backs 2025-26
Our database tracks 45 Bundesliga Right-Backs in the 2025-26 season, representing 22 clubs with a combined market value of €317.1M. The average market value for Bundesliga Right-Backs is €7.0M, with the average age at 26.8 years old.
The most valuable right-back in the Bundesliga is Josip Stanisic, worth €32.0M and playing for Bayern Munich at 25 years old. The top 5 Right-Backs average €23.0M in market value, including Konrad Laimer and Yan Couto.
Age distribution shows the youngest tracked right-back is Kosta Nedeljkovic (19 years, RB Leipzig, €10.0M), while the oldest is Christopher Trimmel (38 years, 1.FC Union Berlin, €600K). Research shows Right-Backs typically peak at age 27.
Our 1-year forecast model projects 22 Right-Backs (49%) 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 Right-Backs remains actively developing with emerging talent in the 2025-26 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 Right-Backs. Identify undervalued assets and track market momentum across 22 clubs with €317.1M combined value.
Age Distribution: Bundesliga Right-Backs
The Bundesliga RB market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (12 players, 27% of market). The 27-29 age group holds the most value at €110.0M, averaging €10.0M per player.
Top Right-Backs by Age Bracket
U21 Years (3 players)
21-23 Years (8 players)
24-26 Years (11 players)
27-29 Years (11 players)
Market Value Distribution
Elite Tier Concentration
The top 5 Right-Backs (11% of players) control €115.0M
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 22 Bundesliga clubs, Bayern Munich leads with 3 Right-Backs worth €75.0M (averaging €25.0M per player). The top 10 clubs account for 58% of tracked Right-Backs.
Bayern Munich (3 Right-Backs)
Borussia Dortmund (2 Right-Backs)
RB Leipzig (3 Right-Backs)
Eintracht Frankfurt (4 Right-Backs)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Josip Stanisic
Bayern Munich • 25 years old
€27.7M
€32.0M
+15.6%
Expected: €35.3M
82.2
Konrad Laimer
Bayern Munich • 28 years old
€25.0M
€25.0M
+0.0%
Expected: €23.7M
74.1
Yan Couto
Borussia Dortmund • 23 years old
€17.3M
€20.0M
+15.6%
Expected: €23.2M
72.6
Julian Ryerson
Borussia Dortmund • 27 years old
€20.0M
€20.0M
+0.0%
Expected: €19.0M
71.9
Sacha Boey
Bayern Munich • 25 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
71.5
Benjamin Henrichs
RB Leipzig • 28 years old
€15.0M
€15.0M
+0.0%
Expected: €14.2M
67.6
Rasmus Kristensen
Eintracht Frankfurt • 28 years old
€14.0M
€14.0M
+0.0%
Expected: €13.3M
66.7
Yukinari Sugawara
SV Werder Bremen • 25 years old
€9.5M
€11.0M
+15.6%
Expected: €11.7M
65.2
Anthony Caci
1.FSV Mainz 05 • 28 years old
€12.0M
€12.0M
+0.0%
Expected: €11.4M
64.8
Josha Vagnoman
VfB Stuttgart • 24 years old
€8.6M
€10.0M
+15.6%
Expected: €11.1M
60.4
Joe Scally
Borussia Mönchengladbach • 22 years old
€8.6M
€10.0M
+15.6%
Expected: €12.1M
59.3
Lorenz Assignon
VfB Stuttgart • 25 years old
€7.8M
€9.0M
+15.6%
Expected: €9.5M
59.1
Ridle Baku
RB Leipzig • 27 years old
€9.0M
€9.0M
+0.0%
Expected: €8.5M
58.4
Kosta Nedeljkovic
RB Leipzig • 19 years old
€8.6M
€10.0M
+15.6%
Expected: €13.6M
56.1
Valentin Gendrey
TSG 1899 Hoffenheim • 25 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
55.9
Arthur
Bayer 04 Leverkusen • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €8.5M
54.9
Kilian Fischer
VfL Wolfsburg • 25 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.0
Elias Baum
Eintracht Frankfurt • 19 years old
€6.9M
€8.0M
+15.6%
Expected: €10.9M
53.3
Saël Kumbedi
VfL Wolfsburg • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €9.2M
52.7
Philipp Treu
SC Freiburg • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €5.6M
51.8
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)
Bayern Munich's Josip Stanisic at 25 years old has the highest Pre-Peak Value Efficiency at 4.57×. That means Josip Stanisic is valued 4.57× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Borussia Dortmund's Yan Couto, who is 23 years old, with a 4.00× PPVE. Third is Sacha Boey of Bayern Munich, who is 25 years old with a 2.57× 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 4.57× means the player is worth 357% 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 | Josip Stanisic Bayern Munich | 25 | 24-26 | €32.0M | €7.0M | 4.57× |
| #2 | Yan Couto Borussia Dortmund | 23 | 21-23 | €20.0M | €5.0M | 4.00× |
| #3 | Sacha Boey Bayern Munich | 25 | 24-26 | €18.0M | €7.0M | 2.57× |
| #4 | Joe Scally Borussia Mönchengladbach | 22 | 21-23 | €10.0M | €5.0M | 2.00× |
| #5 | Yukinari Sugawara SV Werder Bremen | 25 | 24-26 | €11.0M | €7.0M | 1.57× |
| #6 | Josha Vagnoman VfB Stuttgart | 24 | 24-26 | €10.0M | €7.0M | 1.43× |
| #7 | Arthur Bayer 04 Leverkusen | 22 | 21-23 | €7.0M | €5.0M | 1.40× |
| #8 | Lorenz Assignon VfB Stuttgart | 25 | 24-26 | €9.0M | €7.0M | 1.29× |
| #9 | Kosta Nedeljkovic RB Leipzig | 19 | U21 | €10.0M | €8.0M | 1.25× |
| #10 | Leonidas Stergiou VfB Stuttgart | 23 | 21-23 | €5.0M | €5.0M | 1.00× |
| #11 | Valentin Gendrey TSG 1899 Hoffenheim | 25 | 24-26 | €7.0M | €7.0M | 1.00× |
| #12 | Tim Oermann SK Sturm Graz | 22 | 21-23 | €5.0M | €5.0M | 1.00× |
| #13 | Elias Baum Eintracht Frankfurt | 19 | U21 | €8.0M | €8.0M | 1.00× |
| #14 | Saël Kumbedi VfL Wolfsburg | 20 | U21 | €7.0M | €8.0M | 0.88× |
| #15 | Kilian Fischer VfL Wolfsburg | 25 | 24-26 | €6.0M | €7.0M | 0.86× |
| #16 | Philipp Treu SC Freiburg | 24 | 24-26 | €5.0M | €7.0M | 0.71× |
| #17 | William Mikelbrencis Hamburger SV | 21 | 21-23 | €2.0M | €5.0M | 0.40× |
| #18 | Giorgi Gocholeishvili Hamburger SV | 24 | 24-26 | €2.5M | €7.0M | 0.36× |
| #19 | Sebastian Sebulonsen 1.FC Köln | 25 | 24-26 | €2.5M | €7.0M | 0.36× |
| #20 | Nikolas Veratschnig 1.FSV Mainz 05 | 22 | 21-23 | €1.5M | €5.0M | 0.30× |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
No RPP data available (requires forecast values in database)
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
RB Leipzig's Kosta Nedeljkovic has the highest Risk-Adjusted Upside at 96.4. That means Kosta Nedeljkovic has 36% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Eintracht Frankfurt's Elias Baum with a 96.4 RAU (36% upside, 0% uncertainty). Third is Saël Kumbedi of VfL Wolfsburg with a 86.2 RAU (31% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 96.4 means the upside is 96.4× 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 | Kosta Nedeljkovic RB Leipzig | €13.6M | €11.7M-15.5M | +36% | 96.4 |
| #2 | Elias Baum Eintracht Frankfurt | €10.9M | €9.4M-12.4M | +36% | 96.4 |
| #3 | Saël Kumbedi VfL Wolfsburg | €9.2M | €7.9M-10.5M | +31% | 86.2 |
| #4 | William Mikelbrencis Hamburger SV | €2.5M | €2.2M-2.9M | +26% | 75.2 |
| #5 | Nikolas Veratschnig 1.FSV Mainz 05 | €1.8M | €1.6M-2.0M | +21% | 72.7 |
| #6 | Arthur Bayer 04 Leverkusen | €8.5M | €7.5M-9.5M | +21% | 72.7 |
| #7 | Joe Scally Borussia Mönchengladbach | €12.1M | €10.7M-13.6M | +21% | 72.7 |
| #8 | Tim Oermann SK Sturm Graz | €6.1M | €5.3M-6.8M | +21% | 72.7 |
| #9 | Fin Stevens FC St. Pauli | €606K | €533K-678K | +21% | 72.7 |
| #10 | Leonidas Stergiou VfB Stuttgart | €5.8M | €5.1M-6.5M | +16% | 57.7 |
| #11 | Yan Couto Borussia Dortmund | €23.2M | €20.4M-26.0M | +16% | 57.7 |
| #12 | Philipp Treu SC Freiburg | €5.6M | €4.9M-6.2M | +11% | 41.4 |
| #13 | Josha Vagnoman VfB Stuttgart | €11.1M | €9.8M-12.4M | +11% | 41.4 |
| #14 | Giorgi Gocholeishvili Hamburger SV | €2.8M | €2.4M-3.1M | +11% | 41.4 |
| #15 | Josip Stanisic Bayern Munich | €35.3M | €31.1M-39.5M | +10% | 39.0 |
| #16 | Sacha Boey Bayern Munich | €19.1M | €16.8M-21.4M | +6% | 23.5 |
| #17 | Lorenz Assignon VfB Stuttgart | €9.5M | €8.4M-10.7M | +6% | 23.5 |
| #18 | Yukinari Sugawara SV Werder Bremen | €11.7M | €10.3M-13.1M | +6% | 23.5 |
| #19 | Kilian Fischer VfL Wolfsburg | €6.4M | €5.6M-7.1M | +6% | 23.5 |
| #20 | Kasper Jørgensen LASK | €1.6M | €1.4M-1.8M | +6% | 23.5 |
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 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)
1.FC Heidenheim 1846's Marnon Busch in the 30+ age bracket has the highest Age-Share Concentration at +-18.3%. That means Mitchell Weiser captures 8.4% of total market value while representing only 26.7% of players in their age group—showing dominant elite status.
In second is SV Werder Bremen's Mitchell Weiser with a +-18.3% ASC (8.4% value share vs 26.7% player share in 30+ bracket). Third is Cristian Gamboa of VfL Bochum with a +-18.3% ASC (8.4% value vs 26.7% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-18.3% ASC means the player captures -18.3% 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.FC Heidenheim 1846 | 30+ | 8.4% | 26.7% | -18.3% |
| #2 | Mitchell Weiser SV Werder Bremen | 30+ | 8.4% | 26.7% | -18.3% |
| #3 | Cristian Gamboa VfL Bochum | 30+ | 8.4% | 26.7% | -18.3% |
| #4 | Vladimír Coufal TSG 1899 Hoffenheim | 30+ | 8.4% | 26.7% | -18.3% |
| #5 | Silvan Widmer 1.FSV Mainz 05 | 30+ | 8.4% | 26.7% | -18.3% |
| #6 | Marius Wolf FC Augsburg | 30+ | 8.4% | 26.7% | -18.3% |
| #7 | Lucas Vázquez Bayer 04 Leverkusen | 30+ | 8.4% | 26.7% | -18.3% |
| #8 | Josip Juranovic 1.FC Union Berlin | 30+ | 8.4% | 26.7% | -18.3% |
| #9 | Timothy Chandler Eintracht Frankfurt | 30+ | 8.4% | 26.7% | -18.3% |
| #10 | Christopher Trimmel 1.FC Union Berlin | 30+ | 8.4% | 26.7% | -18.3% |
| #11 | Stefan Lainer Red Bull Salzburg | 30+ | 8.4% | 26.7% | -18.3% |
| #12 | Lukas Kübler SC Freiburg | 30+ | 8.4% | 26.7% | -18.3% |
| #13 | Pascal Stenzel VfB Stuttgart | 27-29 | 34.7% | 24.4% | +10.3% |
| #14 | Benjamin Henrichs RB Leipzig | 27-29 | 34.7% | 24.4% | +10.3% |
| #15 | Konrad Laimer Bayern Munich | 27-29 | 34.7% | 24.4% | +10.3% |
| #16 | Silvan Hefti Hamburger SV | 27-29 | 34.7% | 24.4% | +10.3% |
| #17 | Manolis Saliakas FC St. Pauli | 27-29 | 34.7% | 24.4% | +10.3% |
| #18 | Aurélio Buta Eintracht Frankfurt | 27-29 | 34.7% | 24.4% | +10.3% |
| #19 | Ridle Baku RB Leipzig | 27-29 | 34.7% | 24.4% | +10.3% |
| #20 | Rasmus Kristensen Eintracht Frankfurt | 27-29 | 34.7% | 24.4% | +10.3% |
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: 11 immediate targets, 11 standard acquisitions, 0 watch-list prospects, 9 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. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Aurélio Buta Eintracht Frankfurt | €5.0M | €5.0M | -1.40 | Good Value |
Silvan Hefti Hamburger SV | €1.0M | €5.0M | -1.00 | Good Value |
Philipp Treu SC Freiburg | €5.0M | €5.0M | -1.00 | Good Value |
Kasper Jørgensen LASK | €1.5M | €5.0M | -1.00 | Good Value |
Kilian Fischer VfL Wolfsburg | €6.0M | €5.0M | -0.75 | Good Value |
Fin Stevens FC St. Pauli | €500K | €5.0M | -0.67 | Good Value |
Ridle Baku RB Leipzig | €9.0M | €5.0M | -0.60 | Good Value |
Pascal Stenzel VfB Stuttgart | €2.0M | €5.0M | -0.50 | Fair Value |
Benjamin Henrichs RB Leipzig | €15.0M | €5.0M | -0.50 | Fair Value |
Valentin Gendrey TSG 1899 Hoffenheim | €7.0M | €5.0M | -0.50 | Fair Value |
Leonidas Stergiou VfB Stuttgart | €5.0M | €5.0M | -0.40 | Fair Value |
Tim Oermann SK Sturm Graz | €5.0M | €5.0M | -0.40 | Fair Value |
Timothy Chandler Eintracht Frankfurt | €350K | €5.0M | -0.35 | Fair Value |
Saël Kumbedi VfL Wolfsburg | €7.0M | €5.0M | -0.33 | Fair Value |
Cristian Gamboa VfL Bochum | €500K | €5.0M | -0.29 | Fair Value |
Christopher Trimmel 1.FC Union Berlin | €600K | €5.0M | -0.25 | Fair Value |
Marnon Busch 1.FC Heidenheim 1846 | €1.2M | €5.0M | 0.00 | Fair Value |
Mitchell Weiser SV Werder Bremen | €5.0M | €5.0M | 0.00 | Fair Value |
Vladimír Coufal TSG 1899 Hoffenheim | €5.0M | €5.0M | 0.00 | Fair Value |
Silvan Widmer 1.FSV Mainz 05 | €1.2M | €5.0M | 0.00 | Fair Value |