Best Left-Backs in the Bundesliga (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Left-Backs 2024-25
Our database tracked 35 Bundesliga Left-Backs in the 2024-25 season, representing 23 clubs with a combined market value of €274.2M. The average market value for Bundesliga Left-Backs was €7.8M, with the average age at 26.5 years old.
The most valuable left-back in the Bundesliga was Alphonso Davies, worth €50.0M and played for Bayern Munich at 25 years old. The top 5 Left-Backs averaged €30.2M in market value, including Nathaniel Brown and Alejandro Grimaldo.
Age distribution showed the youngest tracked left-back was Almugera Kabar (19 years, Borussia Dortmund, €3.0M), while the oldest was Christian Günter (33 years, SC Freiburg, €2.0M). Research shows Left-Backs typically peak at age 27.
Historical analysis showed 17 Left-Backs (49%) 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 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 Left-Backs. Identify undervalued assets and track market momentum across 23 clubs with €274.2M combined value.
Age Distribution: Bundesliga Left-Backs
The Bundesliga LB market shows 5 distinct age segments, with the largest cohort in the 24-26 bracket (10 players, 29% of market). The 24-26 age group holds the most value at €99.7M, averaging €10.0M per player.
Top Left-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (7 players)
24-26 Years (10 players)
27-29 Years (9 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Left-Backs (11% of players) control €131.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Bundesliga LB pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Left-Backs
Among 23 Bundesliga clubs, Bayern Munich leads with 2 Left-Backs worth €56.0M (averaging €28.0M per player). The top 10 clubs account for 51% of tracked Left-Backs.
Bayern Munich (2 Left-Backs)
Eintracht Frankfurt (1 Left-Backs)
Borussia Dortmund (2 Left-Backs)
Bayer 04 Leverkusen (1 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.
Alphonso Davies
Bayern Munich • 25 years old
€43.2M
€50.0M
+15.6%
Expected: €50.9M
88.2
Nathaniel Brown
Eintracht Frankfurt • 22 years old
€30.3M
€35.0M
+15.6%
Expected: €38.6M
84.0
Alejandro Grimaldo
Bayer 04 Leverkusen • 30 years old
€31.0M
€24.0M
-22.6%
Expected: €19.9M
75.3
Daniel Svensson
Borussia Dortmund • 24 years old
€19.0M
€22.0M
+15.6%
Expected: €22.5M
74.7
David Raum
RB Leipzig • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
Maximilian Mittelstädt
VfB Stuttgart • 29 years old
€23.2M
€18.0M
-22.6%
Expected: €14.9M
71.6
Tom Rothe
1.FC Union Berlin • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
60.6
Joakim Maehle
VfL Wolfsburg • 29 years old
€11.6M
€9.0M
-22.6%
Expected: €7.5M
59.4
Felix Agu
SV Werder Bremen • 26 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
57.6
Lukas Ullrich
Borussia Mönchengladbach • 22 years old
€6.1M
€7.0M
+15.6%
Expected: €7.4M
56.7
Luca Netz
Borussia Mönchengladbach • 23 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
55.4
Jordy Makengo
SC Freiburg • 24 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.0
Raphaël Guerreiro
Bayern Munich • 32 years old
€7.7M
€6.0M
-22.6%
Expected: €5.3M
54.8
Aaron Zehnter
VfL Wolfsburg • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Bernardo
TSG 1899 Hoffenheim • 31 years old
€6.5M
€5.0M
-22.6%
Expected: €4.1M
52.3
Kristoffer Lund
1.FC Köln • 24 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.9
Derrick Köhn
1.FC Union Berlin • 27 years old
€4.2M
€4.0M
-5.4%
Expected: €3.5M
49.1
Aleksa Terzic
Red Bull Salzburg • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.0
Max Finkgräfe
RB Leipzig • 22 years old
€2.6M
€3.0M
+15.6%
Expected: €3.2M
42.6
Dimitrios Giannoulis
FC Augsburg • 30 years old
€3.9M
€3.0M
-22.6%
Expected: €2.5M
42.2
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)
Bayern Munich's Alphonso Davies at 25 years old has the highest Pre-Peak Value Efficiency at 8.33×. That means Alphonso Davies is valued 8.33× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Eintracht Frankfurt's Nathaniel Brown, who is 22 years old, with a 5.83× PPVE. Third is Daniel Svensson of Borussia Dortmund, who is 24 years old with a 3.67× 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 8.33× means the player is worth 733% 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 | Alphonso Davies Bayern Munich | 25 | 24-26 | €50.0M | €6.0M | 8.33× |
| #2 | Nathaniel Brown Eintracht Frankfurt | 22 | 21-23 | €35.0M | €6.0M | 5.83× |
| #3 | Daniel Svensson Borussia Dortmund | 24 | 24-26 | €22.0M | €6.0M | 3.67× |
| #4 | Tom Rothe 1.FC Union Berlin | 21 | 21-23 | €10.0M | €6.0M | 1.67× |
| #5 | Lukas Ullrich Borussia Mönchengladbach | 22 | 21-23 | €7.0M | €6.0M | 1.17× |
| #6 | Luca Netz Borussia Mönchengladbach | 23 | 21-23 | €6.0M | €6.0M | 1.00× |
| #7 | Aaron Zehnter VfL Wolfsburg | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #8 | Jordy Makengo SC Freiburg | 24 | 24-26 | €6.0M | €6.0M | 1.00× |
| #9 | Almugera Kabar Borussia Dortmund | 19 | U21 | €3.0M | €3.0M | 1.00× |
| #10 | Kristoffer Lund 1.FC Köln | 24 | 24-26 | €4.0M | €6.0M | 0.67× |
| #11 | Max Finkgräfe RB Leipzig | 22 | 21-23 | €3.0M | €6.0M | 0.50× |
| #12 | Frans Krätzig Red Bull Salzburg | 23 | 21-23 | €2.8M | €6.0M | 0.47× |
| #13 | George Bello LASK | 24 | 24-26 | €2.0M | €6.0M | 0.33× |
| #14 | Noah Katterbach Hamburger SV | 25 | 24-26 | €600K | €6.0M | 0.10× |
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 | €3.0M | €5.0M | +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 | €35.0M | €46.8M | +25% |
| #5 | Lukas Ullrich Borussia Mönchengladbach | 22 | 4 | €7.0M | €9.4M | +25% |
| #6 | Max Finkgräfe RB Leipzig | 22 | 4 | €3.0M | €4.0M | +25% |
| #7 | Frans Krätzig Red Bull Salzburg | 23 | 3 | €2.8M | €3.5M | +20% |
| #8 | Luca Netz Borussia Mönchengladbach | 23 | 3 | €6.0M | €7.5M | +20% |
| #9 | George Bello LASK | 24 | 2 | €2.0M | €2.3M | +14% |
| #10 | Kristoffer Lund 1.FC Köln | 24 | 2 | €4.0M | €4.6M | +14% |
| #11 | Jordy Makengo SC Freiburg | 24 | 2 | €6.0M | €6.9M | +14% |
| #12 | Daniel Svensson Borussia Dortmund | 24 | 2 | €22.0M | €25.4M | +14% |
| #13 | Alphonso Davies Bayern Munich | 25 | 1 | €50.0M | €53.8M | +7% |
| #14 | Noah Katterbach Hamburger SV | 25 | 1 | €600K | €645K | +7% |
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 Eintracht Frankfurt's Nathaniel Brown with a 38.4 RAU (10% upside, 0% uncertainty). Third is Aaron Zehnter of VfL Wolfsburg 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 | €3.6M | €3.1M-4.1M | +19% | 58.0 |
| #2 | Nathaniel Brown Eintracht Frankfurt | €38.6M | €33.9M-43.2M | +10% | 38.4 |
| #3 | Aaron Zehnter VfL Wolfsburg | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #4 | Tom Rothe 1.FC Union Berlin | €11.0M | €9.5M-12.5M | +10% | 33.7 |
| #5 | Frans Krätzig Red Bull Salzburg | €3.0M | €2.6M-3.4M | +7% | 27.5 |
| #6 | Luca Netz Borussia Mönchengladbach | €6.4M | €5.7M-7.2M | +7% | 27.5 |
| #7 | Lukas Ullrich Borussia Mönchengladbach | €7.4M | €6.5M-8.3M | +6% | 23.0 |
| #8 | Max Finkgräfe RB Leipzig | €3.2M | €2.8M-3.6M | +6% | 23.0 |
| #9 | Leon Klassen Grazer AK 1902 | €618K | €544K-692K | +3% | 12.0 |
| #10 | Aleksa Terzic Red Bull Salzburg | €3.6M | €3.2M-4.0M | +3% | 12.0 |
| #11 | Felix Agu SV Werder Bremen | €8.2M | €7.2M-9.2M | +3% | 12.0 |
| #12 | Olivier Deman SV Werder Bremen | €3.1M | €2.7M-3.5M | +3% | 12.0 |
| #13 | Daniel Svensson Borussia Dortmund | €22.5M | €19.8M-25.2M | +2% | 9.8 |
| #14 | Jordy Makengo SC Freiburg | €6.1M | €5.4M-6.9M | +2% | 9.8 |
| #15 | George Bello LASK | €2.0M | €1.8M-2.3M | +2% | 9.8 |
| #16 | Kristoffer Lund 1.FC Köln | €4.1M | €3.6M-4.6M | +2% | 9.8 |
| #17 | Alphonso Davies Bayern Munich | €50.9M | €44.8M-57.0M | +2% | 7.1 |
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: 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)
SV Werder Bremen's Felix Agu in the 24-26 age bracket has the highest Age-Share Concentration at +7.8%. That means Alphonso Davies captures 36.4% of total market value while representing only 28.6% of players in their age group—showing dominant elite status.
In second is Red Bull Salzburg's Aleksa Terzic with a +7.8% ASC (36.4% value share vs 28.6% player share in 24-26 bracket). Third is Alphonso Davies of Bayern Munich with a +7.8% ASC (36.4% value vs 28.6% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +7.8% ASC means the player captures 7.8% 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 | Felix Agu SV Werder Bremen | 24-26 | 36.4% | 28.6% | +7.8% |
| #2 | Aleksa Terzic Red Bull Salzburg | 24-26 | 36.4% | 28.6% | +7.8% |
| #3 | Alphonso Davies Bayern Munich | 24-26 | 36.4% | 28.6% | +7.8% |
| #4 | Leon Klassen Grazer AK 1902 | 24-26 | 36.4% | 28.6% | +7.8% |
| #5 | Noah Katterbach Hamburger SV | 24-26 | 36.4% | 28.6% | +7.8% |
| #6 | George Bello LASK | 24-26 | 36.4% | 28.6% | +7.8% |
| #7 | Daniel Svensson Borussia Dortmund | 24-26 | 36.4% | 28.6% | +7.8% |
| #8 | Olivier Deman SV Werder Bremen | 24-26 | 36.4% | 28.6% | +7.8% |
| #9 | Kristoffer Lund 1.FC Köln | 24-26 | 36.4% | 28.6% | +7.8% |
| #10 | Jordy Makengo SC Freiburg | 24-26 | 36.4% | 28.6% | +7.8% |
| #11 | Leart Paçarada 1.FC Heidenheim 1846 | 30+ | 16.0% | 22.9% | -6.8% |
| #12 | Phillipp Mwene 1.FSV Mainz 05 | 30+ | 16.0% | 22.9% | -6.8% |
| #13 | Raphaël Guerreiro Bayern Munich | 30+ | 16.0% | 22.9% | -6.8% |
| #14 | Jonas Föhrenbach 1.FC Heidenheim 1846 | 30+ | 16.0% | 22.9% | -6.8% |
| #15 | Alejandro Grimaldo Bayer 04 Leverkusen | 30+ | 16.0% | 22.9% | -6.8% |
| #16 | Dimitrios Giannoulis FC Augsburg | 30+ | 16.0% | 22.9% | -6.8% |
| #17 | Bernardo TSG 1899 Hoffenheim | 30+ | 16.0% | 22.9% | -6.8% |
| #18 | Christian Günter SC Freiburg | 30+ | 16.0% | 22.9% | -6.8% |
| #19 | Luca Netz Borussia Mönchengladbach | 21-23 | 25.5% | 20.0% | +5.5% |
| #20 | Frans Krätzig Red Bull Salzburg | 21-23 | 25.5% | 20.0% | +5.5% |
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, 7 standard acquisitions, 0 watch-list prospects, 15 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 €50.0M. 0 undervalued, 2 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Leart Paçarada 1.FC Heidenheim 1846 | €1.0M | €3.5M | -1.00 | Good Value |
Maximilian Mittelstädt VfB Stuttgart | €18.0M | €3.5M | -1.00 | Good Value |
Bernardo TSG 1899 Hoffenheim | €5.0M | €3.5M | -1.00 | Good Value |
Frans Krätzig Red Bull Salzburg | €2.8M | €3.5M | -1.00 | Good Value |
Jordy Makengo SC Freiburg | €6.0M | €3.5M | -1.00 | Good Value |
Leon Klassen Grazer AK 1902 | €600K | €3.5M | -0.83 | Good Value |
Noah Katterbach Hamburger SV | €600K | €3.5M | -0.83 | Good Value |
Mads Pedersen FC Augsburg | €1.0M | €3.5M | -0.50 | Fair Value |
Lars Ritzka FC St. Pauli | €1.0M | €3.5M | -0.50 | Fair Value |
George Bello LASK | €2.0M | €3.5M | -0.34 | Fair Value |
Jannes Horn Rapid Vienna | €1.2M | €3.5M | -0.30 | Fair Value |
Luca Netz Borussia Mönchengladbach | €6.0M | €3.5M | -0.25 | Fair Value |
Aaron Zehnter VfL Wolfsburg | €6.0M | €3.5M | -0.25 | Fair Value |
Phillipp Mwene 1.FSV Mainz 05 | €1.5M | €3.5M | 0.00 | Fair Value |
Raphaël Guerreiro Bayern Munich | €6.0M | €3.5M | 0.00 | Fair Value |
Jonas Föhrenbach 1.FC Heidenheim 1846 | €1.5M | €3.5M | 0.00 | Fair Value |
Alejandro Grimaldo Bayer 04 Leverkusen | €24.0M | €3.5M | 0.00 | Fair Value |
Emir Karic SK Sturm Graz | €1.5M | €3.5M | 0.00 | Fair Value |
David Raum RB Leipzig | €20.0M | €3.5M | 0.00 | Fair Value |
Joakim Maehle VfL Wolfsburg | €9.0M | €3.5M | 0.00 | Fair Value |