Best Left-Backs in the Bundesliga (Dec 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Left-Backs 2022-23
Our database tracked 36 Bundesliga Left-Backs in the 2022-23 season, representing 23 clubs with a combined market value of €266.4M. The average market value for Bundesliga Left-Backs was €7.4M, with the average age at 26.2 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 €28.4M in market value, including Alejandro Grimaldo and Nathaniel Brown.
Age distribution showed the youngest tracked left-back was Almugera Kabar (19 years, Borussia Dortmund, €1.0M), while the oldest was Christian Günter (32 years, SC Freiburg, €3.5M). Research shows Left-Backs typically peak at age 27.
Historical analysis showed 17 Left-Backs (47%) 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 2022-23 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 €266.4M combined value.
Age Distribution: Bundesliga Left-Backs
The Bundesliga LB market shows 5 distinct age segments, with the largest cohort in the 27-29 bracket (10 players, 28% of market). The 24-26 age group holds the most value at €81.1M, averaging €10.1M per player.
Top Left-Backs by Age Bracket
U21 Years (1 players)
21-23 Years (9 players)
24-26 Years (8 players)
27-29 Years (10 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Left-Backs (11% of players) control €122.0M
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 €58.0M (averaging €29.0M per player). The top 10 clubs account for 50% of tracked Left-Backs.
Bayern Munich (2 Left-Backs)
Bayer 04 Leverkusen (1 Left-Backs)
RB Leipzig (2 Left-Backs)
VfL Wolfsburg (3 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
Alejandro Grimaldo
Bayer 04 Leverkusen • 30 years old
€38.7M
€30.0M
-22.6%
Expected: €24.9M
78.1
Nathaniel Brown
Eintracht Frankfurt • 22 years old
€19.0M
€22.0M
+15.6%
Expected: €23.3M
74.6
Maximilian Mittelstädt
VfB Stuttgart • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
David Raum
RB Leipzig • 27 years old
€21.1M
€20.0M
-5.4%
Expected: €17.5M
72.7
Joakim Mæhle
VfL Wolfsburg • 28 years old
€18.1M
€14.0M
-22.6%
Expected: €12.3M
68.4
Tom Rothe
1.FC Union Berlin • 21 years old
€8.6M
€10.0M
+15.6%
Expected: €11.0M
60.6
Raphaël Guerreiro
Bayern Munich • 31 years old
€10.3M
€8.0M
-22.6%
Expected: €6.6M
58.3
Lukas Ullrich
Borussia Mönchengladbach • 21 years old
€6.9M
€8.0M
+15.6%
Expected: €8.8M
57.8
Felix Agu
SV Werder Bremen • 26 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
57.6
Ramy Bensebaini
Borussia Dortmund • 30 years old
€9.0M
€7.0M
-22.6%
Expected: €5.8M
56.4
Jordy Makengo
SC Freiburg • 24 years old
€5.2M
€6.0M
+15.6%
Expected: €6.1M
55.0
Luca Netz
Borussia Mönchengladbach • 22 years old
€5.2M
€6.0M
+15.6%
Expected: €6.4M
54.8
Aaron Zehnter
VfL Wolfsburg • 21 years old
€5.2M
€6.0M
+15.6%
Expected: €6.6M
54.2
Alexander Prass
TSG 1899 Hoffenheim • 24 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
52.7
Derrick Köhn
1.FC Union Berlin • 26 years old
€4.3M
€5.0M
+15.6%
Expected: €5.1M
51.8
Max Finkgräfe
RB Leipzig • 21 years old
€3.5M
€4.0M
+15.6%
Expected: €4.4M
49.2
Christian Günter
SC Freiburg • 32 years old
€4.5M
€3.5M
-22.6%
Expected: €3.1M
48.0
Frans Krätzig
Red Bull Salzburg • 22 years old
€3.0M
€3.5M
+15.6%
Expected: €3.7M
47.8
Aleksa Terzic
Red Bull Salzburg • 26 years old
€3.0M
€3.5M
+15.6%
Expected: €3.6M
47.0
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 10.00×. That means Alphonso Davies is valued 10.00× 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 3.67× PPVE. Third is Tom Rothe of 1.FC Union Berlin, who is 21 years old with a 1.67× 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 10.00× means the player is worth 900% 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 | €5.0M | 10.00× |
| #2 | Nathaniel Brown Eintracht Frankfurt | 22 | 21-23 | €22.0M | €6.0M | 3.67× |
| #3 | Tom Rothe 1.FC Union Berlin | 21 | 21-23 | €10.0M | €6.0M | 1.67× |
| #4 | Lukas Ullrich Borussia Mönchengladbach | 21 | 21-23 | €8.0M | €6.0M | 1.33× |
| #5 | Jordy Makengo SC Freiburg | 24 | 24-26 | €6.0M | €5.0M | 1.20× |
| #6 | Alexander Prass TSG 1899 Hoffenheim | 24 | 24-26 | €5.0M | €5.0M | 1.00× |
| #7 | Luca Netz Borussia Mönchengladbach | 22 | 21-23 | €6.0M | €6.0M | 1.00× |
| #8 | Aaron Zehnter VfL Wolfsburg | 21 | 21-23 | €6.0M | €6.0M | 1.00× |
| #9 | Almugera Kabar Borussia Dortmund | 19 | U21 | €1.0M | €1.0M | 1.00× |
| #10 | Max Finkgräfe RB Leipzig | 21 | 21-23 | €4.0M | €6.0M | 0.67× |
| #11 | Olivier Deman SV Werder Bremen | 25 | 24-26 | €3.0M | €5.0M | 0.60× |
| #12 | Frans Krätzig Red Bull Salzburg | 22 | 21-23 | €3.5M | €6.0M | 0.58× |
| #13 | Kristoffer Lund 1.FC Köln | 23 | 21-23 | €2.7M | €6.0M | 0.45× |
| #14 | George Bello LASK | 23 | 21-23 | €2.0M | €6.0M | 0.33× |
| #15 | Noah Katterbach Hamburger SV | 24 | 24-26 | €600K | €5.0M | 0.12× |
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 Borussia Mönchengladbach's Lukas Ullrich, who is 21 years old, with a +30% RPP (5 years to peak). Third is Max Finkgräfe of RB Leipzig, 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 | €1.0M | €1.7M | +40% |
| #2 | Lukas Ullrich Borussia Mönchengladbach | 21 | 5 | €8.0M | €11.5M | +30% |
| #3 | Max Finkgräfe RB Leipzig | 21 | 5 | €4.0M | €5.7M | +30% |
| #4 | Tom Rothe 1.FC Union Berlin | 21 | 5 | €10.0M | €14.4M | +30% |
| #5 | Aaron Zehnter VfL Wolfsburg | 21 | 5 | €6.0M | €8.6M | +30% |
| #6 | Frans Krätzig Red Bull Salzburg | 22 | 4 | €3.5M | €4.7M | +25% |
| #7 | Nathaniel Brown Eintracht Frankfurt | 22 | 4 | €22.0M | €29.4M | +25% |
| #8 | Luca Netz Borussia Mönchengladbach | 22 | 4 | €6.0M | €8.0M | +25% |
| #9 | George Bello LASK | 23 | 3 | €2.0M | €2.5M | +20% |
| #10 | Kristoffer Lund 1.FC Köln | 23 | 3 | €2.7M | €3.4M | +20% |
| #11 | Noah Katterbach Hamburger SV | 24 | 2 | €600K | €694K | +14% |
| #12 | Alexander Prass TSG 1899 Hoffenheim | 24 | 2 | €5.0M | €5.8M | +14% |
| #13 | Jordy Makengo SC Freiburg | 24 | 2 | €6.0M | €6.9M | +14% |
| #14 | Alphonso Davies Bayern Munich | 25 | 1 | €50.0M | €53.8M | +7% |
| #15 | Olivier Deman SV Werder Bremen | 25 | 1 | €3.0M | €3.2M | +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 VfL Wolfsburg's Aaron Zehnter with a 33.7 RAU (10% upside, 0% uncertainty). Third is Tom Rothe of 1.FC Union Berlin 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 | €1.2M | €1.0M-1.4M | +19% | 58.0 |
| #2 | Aaron Zehnter VfL Wolfsburg | €6.6M | €5.7M-7.5M | +10% | 33.7 |
| #3 | Tom Rothe 1.FC Union Berlin | €11.0M | €9.5M-12.5M | +10% | 33.7 |
| #4 | Lukas Ullrich Borussia Mönchengladbach | €8.8M | €7.6M-10.0M | +10% | 33.7 |
| #5 | Max Finkgräfe RB Leipzig | €4.4M | €3.8M-5.0M | +10% | 33.7 |
| #6 | George Bello LASK | €2.1M | €1.9M-2.4M | +7% | 27.5 |
| #7 | Kristoffer Lund 1.FC Köln | €2.9M | €2.5M-3.2M | +7% | 27.5 |
| #8 | Frans Krätzig Red Bull Salzburg | €3.7M | €3.3M-4.1M | +6% | 23.0 |
| #9 | Nathaniel Brown Eintracht Frankfurt | €23.3M | €20.5M-26.1M | +6% | 23.0 |
| #10 | Luca Netz Borussia Mönchengladbach | €6.4M | €5.6M-7.1M | +6% | 23.0 |
| #11 | Derrick Köhn 1.FC Union Berlin | €5.1M | €4.5M-5.8M | +3% | 12.0 |
| #12 | Aleksa Terzic Red Bull Salzburg | €3.6M | €3.2M-4.0M | +3% | 12.0 |
| #13 | Felix Agu SV Werder Bremen | €8.2M | €7.2M-9.2M | +3% | 12.0 |
| #14 | Jordy Makengo SC Freiburg | €6.1M | €5.4M-6.9M | +2% | 9.8 |
| #15 | Noah Katterbach Hamburger SV | €614K | €541K-688K | +2% | 9.8 |
| #16 | Alexander Prass TSG 1899 Hoffenheim | €5.1M | €4.5M-5.7M | +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)
1.FC Union Berlin's Derrick Köhn in the 24-26 age bracket has the highest Age-Share Concentration at +8.2%. That means Alphonso Davies captures 30.4% of total market value while representing only 22.2% of players in their age group—showing dominant elite status.
In second is SV Werder Bremen's Felix Agu with a +8.2% ASC (30.4% value share vs 22.2% player share in 24-26 bracket). Third is Aleksa Terzic of Red Bull Salzburg with a +8.2% ASC (30.4% value vs 22.2% players in 24-26 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +8.2% ASC means the player captures 8.2% 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 | Derrick Köhn 1.FC Union Berlin | 24-26 | 30.4% | 22.2% | +8.2% |
| #2 | Felix Agu SV Werder Bremen | 24-26 | 30.4% | 22.2% | +8.2% |
| #3 | Aleksa Terzic Red Bull Salzburg | 24-26 | 30.4% | 22.2% | +8.2% |
| #4 | Alphonso Davies Bayern Munich | 24-26 | 30.4% | 22.2% | +8.2% |
| #5 | Alexander Prass TSG 1899 Hoffenheim | 24-26 | 30.4% | 22.2% | +8.2% |
| #6 | Noah Katterbach Hamburger SV | 24-26 | 30.4% | 22.2% | +8.2% |
| #7 | Olivier Deman SV Werder Bremen | 24-26 | 30.4% | 22.2% | +8.2% |
| #8 | Jordy Makengo SC Freiburg | 24-26 | 30.4% | 22.2% | +8.2% |
| #9 | Jonas Föhrenbach 1.FC Heidenheim 1846 | 27-29 | 24.2% | 27.8% | -3.6% |
| #10 | Jannes Horn Rapid Vienna | 27-29 | 24.2% | 27.8% | -3.6% |
| #11 | Maximilian Ullmann Without Club | 27-29 | 24.2% | 27.8% | -3.6% |
| #12 | Maximilian Mittelstädt VfB Stuttgart | 27-29 | 24.2% | 27.8% | -3.6% |
| #13 | Emir Karic SK Sturm Graz | 27-29 | 24.2% | 27.8% | -3.6% |
| #14 | Mads Pedersen FC Augsburg | 27-29 | 24.2% | 27.8% | -3.6% |
| #15 | David Raum RB Leipzig | 27-29 | 24.2% | 27.8% | -3.6% |
| #16 | Lars Ritzka FC St. Pauli | 27-29 | 24.2% | 27.8% | -3.6% |
| #17 | Joakim Mæhle VfL Wolfsburg | 27-29 | 24.2% | 27.8% | -3.6% |
| #18 | Rogério VfL Wolfsburg | 27-29 | 24.2% | 27.8% | -3.6% |
| #19 | Almugera Kabar Borussia Dortmund | U21 | 0.4% | 2.8% | -2.4% |
| #20 | Leart Paçarada 1.FC Heidenheim 1846 | 30+ | 20.9% | 22.2% | -1.4% |
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, 9 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, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
George Bello LASK | €2.0M | €3.5M | -1.15 | Good Value |
Ramy Bensebaini Borussia Dortmund | €7.0M | €3.5M | -1.00 | Good Value |
Noah Katterbach Hamburger SV | €600K | €3.5M | -0.83 | Good Value |
Jérôme Roussillon Without Club | €800K | €3.5M | -0.67 | Good Value |
Kristoffer Lund 1.FC Köln | €2.7M | €3.5M | -0.62 | Good Value |
Maximilian Ullmann Without Club | €1.0M | €3.5M | -0.50 | Fair Value |
Emir Karic SK Sturm Graz | €1.0M | €3.5M | -0.50 | Fair Value |
Lars Ritzka FC St. Pauli | €1.0M | €3.5M | -0.50 | Fair Value |
Luca Netz Borussia Mönchengladbach | €6.0M | €3.5M | -0.50 | Fair Value |
Aaron Zehnter VfL Wolfsburg | €6.0M | €3.5M | -0.50 | Fair Value |
Derrick Köhn 1.FC Union Berlin | €5.0M | €3.5M | -0.33 | Fair Value |
Alexander Prass TSG 1899 Hoffenheim | €5.0M | €3.5M | -0.33 | Fair Value |
Leart Paçarada 1.FC Heidenheim 1846 | €1.5M | €3.5M | -0.20 | Fair Value |
Phillipp Mwene 1.FSV Mainz 05 | €1.8M | €3.5M | 0.00 | Fair Value |
Raphaël Guerreiro Bayern Munich | €8.0M | €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 | €30.0M | €3.5M | 0.00 | Fair Value |
Jannes Horn Rapid Vienna | €1.5M | €3.5M | 0.00 | Fair Value |
Maximilian Mittelstädt VfB Stuttgart | €20.0M | €3.5M | 0.00 | Fair Value |
David Raum RB Leipzig | €20.0M | €3.5M | 0.00 | Fair Value |