Best Left Wingers in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Left Wingers 2022-23
Our database tracked 33 Bundesliga Left Wingers in the 2022-23 season, representing 20 clubs with a combined market value of €308.4M. The average market value for Bundesliga Left Wingers was €9.3M, with the average age at 24.2 years old.
The most valuable left winger in the Bundesliga was Luis Díaz, worth €70.0M and played for Bayern Munich at 28 years old. The top 5 Left Wingers averaged €33.0M in market value, including Antonio Nusa and Eliesse Ben Seghir.
Age distribution showed the youngest tracked left winger was Bazoumana Touré (19 years, TSG 1899 Hoffenheim, €9.0M), while the oldest was Vincenzo Grifo (32 years, SC Freiburg, €6.0M). Research shows Left Wingers typically peak at age 26.
Historical analysis showed 20 Left Wingers (61%) 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 Wingers 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 Wingers. Identify undervalued assets and track market momentum across 20 clubs with €308.4M combined value.
Age Distribution: Bundesliga Left Wingers
The Bundesliga LW market shows 5 distinct age segments, with the largest cohort in the U21 bracket (10 players, 30% of market). The 27-29 age group holds the most value at €130.5M, averaging €14.5M per player.
Top Left Wingers by Age Bracket
U21 Years (10 players)
21-23 Years (7 players)
24-26 Years (3 players)
27-29 Years (9 players)
Market Value Distribution
Elite Tier Concentration
The top 4 Left Wingers (12% of players) control €148.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 3% of the Bundesliga LW pool.
Elite (€50M+)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Bundesliga Left Wingers
Among 20 Bundesliga clubs, Bayern Munich leads with 2 Left Wingers worth €92.0M (averaging €46.0M per player). The top 10 clubs account for 61% of tracked Left Wingers.
Bayern Munich (2 Left Wingers)
Bayer 04 Leverkusen (2 Left Wingers)
RB Leipzig (3 Left Wingers)
VfB Stuttgart (2 Left Wingers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Luis Díaz
Bayern Munich • 28 years old
€70.0M
€70.0M
+0.0%
Expected: €69.1M
90.5
Antonio Nusa
RB Leipzig • 20 years old
€24.2M
€28.0M
+15.6%
Expected: €36.7M
73.6
Eliesse Ben Seghir
Bayer 04 Leverkusen • 20 years old
€24.2M
€28.0M
+15.6%
Expected: €36.7M
73.6
Serge Gnabry
Bayern Munich • 30 years old
€22.0M
€22.0M
+0.0%
Expected: €20.9M
71.1
Martin Terrier
Bayer 04 Leverkusen • 28 years old
€17.0M
€17.0M
+0.0%
Expected: €16.1M
69.1
Chris Führich
VfB Stuttgart • 27 years old
€15.0M
€15.0M
+0.0%
Expected: €14.2M
68.3
Jean-Mattéo Bahoya
Eintracht Frankfurt • 20 years old
€14.7M
€17.0M
+15.6%
Expected: €22.3M
67.3
Samuel Mbangula
SV Werder Bremen • 21 years old
€12.1M
€14.0M
+15.6%
Expected: €17.7M
66.0
Robin Hack
Borussia Mönchengladbach • 27 years old
€12.0M
€12.0M
+0.0%
Expected: €11.4M
65.5
Bazoumana Touré
TSG 1899 Hoffenheim • 19 years old
€7.8M
€9.0M
+15.6%
Expected: €12.3M
54.8
Ismaël Gharbi
FC Augsburg • 21 years old
€6.5M
€7.5M
+15.6%
Expected: €9.5M
54.6
Julien Duranville
Borussia Dortmund • 19 years old
€7.4M
€8.5M
+15.6%
Expected: €11.6M
54.0
Timo Werner
RB Leipzig • 29 years old
€7.0M
€7.0M
+0.0%
Expected: €6.6M
53.8
Jakub Kaminski
1.FC Köln • 23 years old
€4.3M
€5.0M
+15.6%
Expected: €5.8M
51.8
Vincenzo Grifo
SC Freiburg • 32 years old
€6.0M
€6.0M
+0.0%
Expected: €5.7M
49.7
Elias Saad
FC Augsburg • 25 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.0
Linton Maina
1.FC Köln • 26 years old
€3.5M
€4.0M
+15.6%
Expected: €4.1M
49.0
Marco Grüll
SV Werder Bremen • 27 years old
€4.0M
€4.0M
+0.0%
Expected: €3.8M
48.3
Derry Scherhant
SC Freiburg • 22 years old
€3.5M
€4.0M
+15.6%
Expected: €4.8M
47.9
Clement Bischoff
Red Bull Salzburg • 19 years old
€4.3M
€5.0M
+15.6%
Expected: €6.8M
47.1
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)
SV Werder Bremen's Samuel Mbangula at 21 years old has the highest Pre-Peak Value Efficiency at 3.50×. That means Samuel Mbangula is valued 3.50× 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 Eliesse Ben Seghir, who is 20 years old, with a 3.29× PPVE. Third is Antonio Nusa of RB Leipzig, who is 20 years old with a 3.29× 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 3.50× means the player is worth 250% 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 | Samuel Mbangula SV Werder Bremen | 21 | 21-23 | €14.0M | €4.0M | 3.50× |
| #2 | Eliesse Ben Seghir Bayer 04 Leverkusen | 20 | U21 | €28.0M | €8.5M | 3.29× |
| #3 | Antonio Nusa RB Leipzig | 20 | U21 | €28.0M | €8.5M | 3.29× |
| #4 | Jean-Mattéo Bahoya Eintracht Frankfurt | 20 | U21 | €17.0M | €8.5M | 2.00× |
| #5 | Ismaël Gharbi FC Augsburg | 21 | 21-23 | €7.5M | €4.0M | 1.88× |
| #6 | Jakub Kaminski 1.FC Köln | 23 | 21-23 | €5.0M | €4.0M | 1.25× |
| #7 | Bazoumana Touré TSG 1899 Hoffenheim | 19 | U21 | €9.0M | €8.5M | 1.06× |
| #8 | Elias Saad FC Augsburg | 25 | 24-26 | €4.0M | €4.0M | 1.00× |
| #9 | Julien Duranville Borussia Dortmund | 19 | U21 | €8.5M | €8.5M | 1.00× |
| #10 | Derry Scherhant SC Freiburg | 22 | 21-23 | €4.0M | €4.0M | 1.00× |
| #11 | Petter Nosa Dahl Rapid Vienna | 21 | 21-23 | €2.5M | €4.0M | 0.63× |
| #12 | Clement Bischoff Red Bull Salzburg | 19 | U21 | €5.0M | €8.5M | 0.59× |
| #13 | Justin Diehl VfB Stuttgart | 20 | U21 | €3.0M | €8.5M | 0.35× |
| #14 | Tidiam Gomis RB Leipzig | 19 | U21 | €3.0M | €8.5M | 0.35× |
| #15 | Adil Taoui Without Club | 24 | 24-26 | €400K | €4.0M | 0.10× |
| #16 | Alexis Tibidi Without Club | 21 | 21-23 | €300K | €4.0M | 0.07× |
| #17 | David Preu 1.FC Union Berlin | 20 | U21 | €400K | €8.5M | 0.05× |
| #18 | Mehmet Ibrahimi Without Club | 22 | 21-23 | €125K | €4.0M | 0.03× |
| #19 | Mickael Dosso Wolfsberger AC | 20 | U21 | €175K | €8.5M | 0.02× |
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)
TSG 1899 Hoffenheim's Bazoumana Touré has the highest Risk-Adjusted Upside at 96.4. That means Bazoumana Touré has 36% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is RB Leipzig's Tidiam Gomis with a 96.4 RAU (36% upside, 0% uncertainty). Third is Clement Bischoff of Red Bull Salzburg with a 96.4 RAU (36% 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 | Bazoumana Touré TSG 1899 Hoffenheim | €12.3M | €10.6M-14.0M | +36% | 96.4 |
| #2 | Tidiam Gomis RB Leipzig | €4.1M | €3.5M-4.7M | +36% | 96.4 |
| #3 | Clement Bischoff Red Bull Salzburg | €6.8M | €5.9M-7.8M | +36% | 96.4 |
| #4 | Julien Duranville Borussia Dortmund | €11.6M | €10.0M-13.2M | +36% | 96.4 |
| #5 | David Preu 1.FC Union Berlin | €525K | €452K-597K | +31% | 86.2 |
| #6 | Justin Diehl VfB Stuttgart | €3.9M | €3.4M-4.5M | +31% | 86.2 |
| #7 | Jean-Mattéo Bahoya Eintracht Frankfurt | €22.3M | €19.2M-25.4M | +31% | 86.2 |
| #8 | Mickael Dosso Wolfsberger AC | €230K | €198K-261K | +31% | 86.2 |
| #9 | Eliesse Ben Seghir Bayer 04 Leverkusen | €36.7M | €31.7M-41.8M | +31% | 86.2 |
| #10 | Antonio Nusa RB Leipzig | €36.7M | €31.7M-41.8M | +31% | 86.2 |
| #11 | Ismaël Gharbi FC Augsburg | €9.5M | €8.2M-10.8M | +26% | 75.2 |
| #12 | Alexis Tibidi Without Club | €379K | €326K-431K | +26% | 75.2 |
| #13 | Petter Nosa Dahl Rapid Vienna | €3.2M | €2.7M-3.6M | +26% | 75.2 |
| #14 | Samuel Mbangula SV Werder Bremen | €17.7M | €15.2M-20.1M | +26% | 75.2 |
| #15 | Mehmet Ibrahimi Without Club | €151K | €133K-170K | +21% | 72.7 |
| #16 | Derry Scherhant SC Freiburg | €4.8M | €4.3M-5.4M | +21% | 72.7 |
| #17 | Jakub Kaminski 1.FC Köln | €5.8M | €5.1M-6.5M | +16% | 57.7 |
| #18 | Adil Taoui Without Club | €444K | €391K-497K | +11% | 41.4 |
| #19 | Elias Saad FC Augsburg | €4.2M | €3.7M-4.7M | +6% | 23.5 |
| #20 | Linton Maina 1.FC Köln | €4.1M | €3.6M-4.6M | +3% | 12.0 |
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 winger 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)
RB Leipzig's Timo Werner in the 27-29 age bracket has the highest Age-Share Concentration at +15.0%. That means Luis Díaz captures 42.3% of total market value while representing only 27.3% of players in their age group—showing dominant elite status.
In second is Wolfsberger AC's Donis Avdijaj with a +15.0% ASC (42.3% value share vs 27.3% player share in 27-29 bracket). Third is Chris Führich of VfB Stuttgart with a +15.0% ASC (42.3% value vs 27.3% players in 27-29 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +15.0% ASC means the player captures 15.0% 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 | Timo Werner RB Leipzig | 27-29 | 42.3% | 27.3% | +15.0% |
| #2 | Donis Avdijaj Wolfsberger AC | 27-29 | 42.3% | 27.3% | +15.0% |
| #3 | Chris Führich VfB Stuttgart | 27-29 | 42.3% | 27.3% | +15.0% |
| #4 | Mathias Honsak 1.FC Heidenheim 1846 | 27-29 | 42.3% | 27.3% | +15.0% |
| #5 | Robin Hack Borussia Mönchengladbach | 27-29 | 42.3% | 27.3% | +15.0% |
| #6 | Marco Grüll SV Werder Bremen | 27-29 | 42.3% | 27.3% | +15.0% |
| #7 | Mathias Pereira Lage FC St. Pauli | 27-29 | 42.3% | 27.3% | +15.0% |
| #8 | Martin Terrier Bayer 04 Leverkusen | 27-29 | 42.3% | 27.3% | +15.0% |
| #9 | Luis Díaz Bayern Munich | 27-29 | 42.3% | 27.3% | +15.0% |
| #10 | Jakub Kaminski 1.FC Köln | 21-23 | 10.8% | 21.2% | -10.4% |
| #11 | Mehmet Ibrahimi Without Club | 21-23 | 10.8% | 21.2% | -10.4% |
| #12 | Samuel Mbangula SV Werder Bremen | 21-23 | 10.8% | 21.2% | -10.4% |
| #13 | Alexis Tibidi Without Club | 21-23 | 10.8% | 21.2% | -10.4% |
| #14 | Ismaël Gharbi FC Augsburg | 21-23 | 10.8% | 21.2% | -10.4% |
| #15 | Derry Scherhant SC Freiburg | 21-23 | 10.8% | 21.2% | -10.4% |
| #16 | Petter Nosa Dahl Rapid Vienna | 21-23 | 10.8% | 21.2% | -10.4% |
| #17 | Linton Maina 1.FC Köln | 24-26 | 2.7% | 9.1% | -6.4% |
| #18 | Adil Taoui Without Club | 24-26 | 2.7% | 9.1% | -6.4% |
| #19 | Elias Saad FC Augsburg | 24-26 | 2.7% | 9.1% | -6.4% |
| #20 | Mickael Dosso Wolfsberger AC | U21 | 33.1% | 30.3% | +2.8% |
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: 17 immediate targets, 2 standard acquisitions, 0 watch-list prospects, 8 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 €70.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Mickael Dosso Wolfsberger AC | €175K | €4.0M | -1.09 | Good Value |
Marius Bülter 1.FC Köln | €2.5M | €4.0M | -1.00 | Good Value |
Timo Werner RB Leipzig | €7.0M | €4.0M | -1.00 | Good Value |
Chris Führich VfB Stuttgart | €15.0M | €4.0M | -1.00 | Good Value |
Adil Taoui Without Club | €400K | €4.0M | -1.00 | Good Value |
David Preu 1.FC Union Berlin | €400K | €4.0M | -1.00 | Good Value |
Jean-Mattéo Bahoya Eintracht Frankfurt | €17.0M | €4.0M | -1.00 | Good Value |
Clement Bischoff Red Bull Salzburg | €5.0M | €4.0M | -0.88 | Good Value |
Donis Avdijaj Wolfsberger AC | €1.0M | €4.0M | -0.75 | Good Value |
Mehmet Ibrahimi Without Club | €125K | €4.0M | -0.64 | Good Value |
Alexis Tibidi Without Club | €300K | €4.0M | -0.59 | Good Value |
Jakub Kaminski 1.FC Köln | €5.0M | €4.0M | -0.28 | Fair Value |
Mathias Honsak 1.FC Heidenheim 1846 | €2.0M | €4.0M | -0.25 | Fair Value |
Serge Gnabry Bayern Munich | €22.0M | €4.0M | 0.00 | Fair Value |
Vincenzo Grifo SC Freiburg | €6.0M | €4.0M | 0.00 | Fair Value |
Robin Hack Borussia Mönchengladbach | €12.0M | €4.0M | 0.00 | Fair Value |
Jean-Luc Dompé Hamburger SV | €3.5M | €4.0M | 0.00 | Fair Value |
Linton Maina 1.FC Köln | €4.0M | €4.0M | 0.00 | Fair Value |
Mathias Pereira Lage FC St. Pauli | €2.5M | €4.0M | 0.00 | Fair Value |
Martin Terrier Bayer 04 Leverkusen | €17.0M | €4.0M | 0.00 | Fair Value |