Best Right Wingers in the Bundesliga (Oct 2025)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Right Wingers 2025-26
Our database tracks 28 Bundesliga Right Wingers in the 2025-26 season, representing 18 clubs with a combined market value of €374.7M. The average market value for Bundesliga Right Wingers is €13.4M, with the average age at 24.7 years old.
The most valuable right winger in the Bundesliga is Michael Olise, worth €100.0M and playing for Bayern Munich at 23 years old. The top 5 Right Wingers average €44.0M in market value, including Karim Adeyemi and Johan Bakayoko.
Age distribution shows the youngest tracked right winger is Cole Campbell (19 years, Borussia Dortmund, €1.5M), while the oldest is Franck Honorat (29 years, Borussia Mönchengladbach, €12.0M). Research shows Right Wingers typically peak at age 26.
Our 1-year forecast model projects 20 Right Wingers (71%) 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 Wingers 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 Wingers. Identify undervalued assets and track market momentum across 18 clubs with €374.7M combined value.
Age Distribution: Bundesliga Right Wingers
The Bundesliga RW market shows 4 distinct age segments, with the largest cohort in the 24-26 bracket (11 players, 39% of market). The 21-23 age group holds the most value at €205.0M, averaging €29.3M per player.
Top Right Wingers by Age Bracket
U21 Years (2 players)
21-23 Years (7 players)
24-26 Years (11 players)
27-29 Years (8 players)
Market Value Distribution
Elite Tier Concentration
The top 3 Right Wingers (11% of players) control €175.0M
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 4% of the Bundesliga RW pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Right Wingers
Among 18 Bundesliga clubs, Bayern Munich leads with 1 Right Wingers worth €100.0M (averaging €100.0M per player). The top 10 clubs account for 68% of tracked Right Wingers.
Bayern Munich (1 Right Wingers)
VfL Wolfsburg (3 Right Wingers)
Borussia Dortmund (2 Right Wingers)
Eintracht Frankfurt (2 Right Wingers)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Michael Olise
Bayern Munich • 23 years old
€86.5M
€100.0M
+15.6%
Expected: €120.8M
94.8
Karim Adeyemi
Borussia Dortmund • 23 years old
€38.9M
€45.0M
+15.6%
Expected: €54.4M
86.3
Johan Bakayoko
RB Leipzig • 22 years old
€25.9M
€30.0M
+15.6%
Expected: €36.3M
76.6
Ritsu Doan
Eintracht Frankfurt • 27 years old
€25.0M
€25.0M
+0.0%
Expected: €23.7M
74.7
Jamie Leweling
VfB Stuttgart • 24 years old
€17.3M
€20.0M
+15.6%
Expected: €22.2M
72.6
Jesper Lindstrøm
VfL Wolfsburg • 25 years old
€15.6M
€18.0M
+15.6%
Expected: €19.1M
71.3
Patrick Wimmer
VfL Wolfsburg • 24 years old
€13.0M
€15.0M
+15.6%
Expected: €16.7M
69.0
Ansgar Knauff
Eintracht Frankfurt • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €17.4M
69.0
Nathan Tella
Bayer 04 Leverkusen • 26 years old
€13.0M
€15.0M
+15.6%
Expected: €15.4M
69.0
Andreas Skov Olsen
VfL Wolfsburg • 25 years old
€12.1M
€14.0M
+15.6%
Expected: €14.8M
68.2
Franck Honorat
Borussia Mönchengladbach • 29 years old
€12.0M
€12.0M
+0.0%
Expected: €11.4M
64.1
Eren Dinkçi
SC Freiburg • 23 years old
€6.9M
€8.0M
+15.6%
Expected: €9.3M
57.6
Justin Njinmah
SV Werder Bremen • 24 years old
€6.1M
€7.0M
+15.6%
Expected: €7.8M
55.9
Niklas Beste
SC Freiburg • 26 years old
€6.1M
€7.0M
+15.6%
Expected: €7.2M
55.9
Silas
VfB Stuttgart • 27 years old
€7.0M
€7.0M
+0.0%
Expected: €6.6M
55.2
Badredine Bouanani
VfB Stuttgart • 20 years old
€6.1M
€7.0M
+15.6%
Expected: €9.2M
52.7
Arnaud Nordin
1.FSV Mainz 05 • 27 years old
€5.0M
€5.0M
+0.0%
Expected: €4.7M
51.0
Nathan Ngoumou
Borussia Mönchengladbach • 25 years old
€3.5M
€4.0M
+15.6%
Expected: €4.2M
49.0
Oladapo Afolayan
FC St. Pauli • 28 years old
€4.0M
€4.0M
+0.0%
Expected: €3.8M
47.5
Rayan Philippe
Hamburger SV • 24 years old
€3.0M
€3.5M
+15.6%
Expected: €3.9M
47.3
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 Michael Olise at 23 years old has the highest Pre-Peak Value Efficiency at 6.67×. That means Michael Olise is valued 6.67× higher than the median player in the 21-23 age bracket—representing exceptional value before reaching peak age.
In second is Borussia Dortmund's Karim Adeyemi, who is 23 years old, with a 3.00× PPVE. Third is Jamie Leweling of VfB Stuttgart, who is 24 years old with a 2.86× 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 6.67× means the player is worth 567% 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 | Michael Olise Bayern Munich | 23 | 21-23 | €100.0M | €15.0M | 6.67× |
#2 | Karim Adeyemi Borussia Dortmund | 23 | 21-23 | €45.0M | €15.0M | 3.00× |
#3 | Jamie Leweling VfB Stuttgart | 24 | 24-26 | €20.0M | €7.0M | 2.86× |
#4 | Jesper Lindstrøm VfL Wolfsburg | 25 | 24-26 | €18.0M | €7.0M | 2.57× |
#5 | Patrick Wimmer VfL Wolfsburg | 24 | 24-26 | €15.0M | €7.0M | 2.14× |
#6 | Andreas Skov Olsen VfL Wolfsburg | 25 | 24-26 | €14.0M | €7.0M | 2.00× |
#7 | Johan Bakayoko RB Leipzig | 22 | 21-23 | €30.0M | €15.0M | 2.00× |
#8 | Ansgar Knauff Eintracht Frankfurt | 23 | 21-23 | €15.0M | €15.0M | 1.00× |
#9 | Justin Njinmah SV Werder Bremen | 24 | 24-26 | €7.0M | €7.0M | 1.00× |
#10 | Badredine Bouanani VfB Stuttgart | 20 | U21 | €7.0M | €7.0M | 1.00× |
#11 | Nathan Ngoumou Borussia Mönchengladbach | 25 | 24-26 | €4.0M | €7.0M | 0.57× |
#12 | Eren Dinkçi SC Freiburg | 23 | 21-23 | €8.0M | €15.0M | 0.53× |
#13 | Rayan Philippe Hamburger SV | 24 | 24-26 | €3.5M | €7.0M | 0.50× |
#14 | Ernest Poku Bayer 04 Leverkusen | 21 | 21-23 | €4.0M | €15.0M | 0.27× |
#15 | Cole Campbell Borussia Dortmund | 19 | U21 | €1.5M | €7.0M | 0.21× |
#16 | Jan Thielmann 1.FC Köln | 23 | 21-23 | €3.0M | €15.0M | 0.20× |
#17 | Marco Tilio Rapid Vienna | 24 | 24-26 | €1.3M | €7.0M | 0.19× |
#18 | Lenny Pintor LASK | 25 | 24-26 | €400K | €7.0M | 0.06× |
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)
Borussia Dortmund's Cole Campbell has the highest Risk-Adjusted Upside at 96.4. That means Cole Campbell has 36% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is VfB Stuttgart's Badredine Bouanani with a 86.2 RAU (31% upside, 0% uncertainty). Third is Ernest Poku of Bayer 04 Leverkusen with a 75.2 RAU (26% 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 | Cole Campbell Borussia Dortmund | €2.0M | €1.8M-2.3M | +36% | 96.4 |
#2 | Badredine Bouanani VfB Stuttgart | €9.2M | €7.9M-10.5M | +31% | 86.2 |
#3 | Ernest Poku Bayer 04 Leverkusen | €5.0M | €4.4M-5.7M | +26% | 75.2 |
#4 | Johan Bakayoko RB Leipzig | €36.3M | €32.0M-40.7M | +21% | 72.7 |
#5 | Karim Adeyemi Borussia Dortmund | €54.4M | €47.8M-60.9M | +21% | 71.8 |
#6 | Michael Olise Bayern Munich | €120.8M | €106.3M-135.3M | +21% | 71.8 |
#7 | Ansgar Knauff Eintracht Frankfurt | €17.4M | €15.3M-19.5M | +16% | 57.7 |
#8 | Jan Thielmann 1.FC Köln | €3.5M | €3.1M-3.9M | +16% | 57.7 |
#9 | Eren Dinkçi SC Freiburg | €9.3M | €8.2M-10.4M | +16% | 57.7 |
#10 | Patrick Wimmer VfL Wolfsburg | €16.7M | €14.7M-18.7M | +11% | 41.4 |
#11 | Justin Njinmah SV Werder Bremen | €7.8M | €6.8M-8.7M | +11% | 41.4 |
#12 | Rayan Philippe Hamburger SV | €3.9M | €3.4M-4.4M | +11% | 41.4 |
#13 | Jamie Leweling VfB Stuttgart | €22.2M | €19.5M-24.9M | +11% | 41.4 |
#14 | Marco Tilio Rapid Vienna | €1.4M | €1.3M-1.6M | +11% | 41.4 |
#15 | Nathan Ngoumou Borussia Mönchengladbach | €4.2M | €3.7M-4.7M | +6% | 23.5 |
#16 | Jesper Lindstrøm VfL Wolfsburg | €19.1M | €16.8M-21.4M | +6% | 23.5 |
#17 | Andreas Skov Olsen VfL Wolfsburg | €14.8M | €13.1M-16.6M | +6% | 23.5 |
#18 | Lenny Pintor LASK | €424K | €373K-475K | +6% | 23.5 |
#19 | Nathan Tella Bayer 04 Leverkusen | €15.4M | €13.6M-17.3M | +3% | 12.0 |
#20 | Niklas Beste SC Freiburg | €7.2M | €6.3M-8.1M | +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: right 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)
Eintracht Frankfurt's Ansgar Knauff in the 21-23 age bracket has the highest Age-Share Concentration at +29.7%. That means Michael Olise captures 54.7% of total market value while representing only 25.0% of players in their age group—showing dominant elite status.
In second is 1.FC Köln's Jan Thielmann with a +29.7% ASC (54.7% value share vs 25.0% player share in 21-23 bracket). Third is Karim Adeyemi of Borussia Dortmund with a +29.7% ASC (54.7% value vs 25.0% players in 21-23 bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +29.7% ASC means the player captures 29.7% 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 | Ansgar Knauff Eintracht Frankfurt | 21-23 | 54.7% | 25.0% | +29.7% |
#2 | Jan Thielmann 1.FC Köln | 21-23 | 54.7% | 25.0% | +29.7% |
#3 | Karim Adeyemi Borussia Dortmund | 21-23 | 54.7% | 25.0% | +29.7% |
#4 | Johan Bakayoko RB Leipzig | 21-23 | 54.7% | 25.0% | +29.7% |
#5 | Michael Olise Bayern Munich | 21-23 | 54.7% | 25.0% | +29.7% |
#6 | Eren Dinkçi SC Freiburg | 21-23 | 54.7% | 25.0% | +29.7% |
#7 | Ernest Poku Bayer 04 Leverkusen | 21-23 | 54.7% | 25.0% | +29.7% |
#8 | Franck Honorat Borussia Mönchengladbach | 27-29 | 14.9% | 28.6% | -13.6% |
#9 | David Atanga Wolfsberger AC | 27-29 | 14.9% | 28.6% | -13.6% |
#10 | Sirlord Conteh 1.FC Heidenheim 1846 | 27-29 | 14.9% | 28.6% | -13.6% |
#11 | Arnaud Nordin 1.FSV Mainz 05 | 27-29 | 14.9% | 28.6% | -13.6% |
#12 | Ritsu Doan Eintracht Frankfurt | 27-29 | 14.9% | 28.6% | -13.6% |
#13 | Bakery Jatta Hamburger SV | 27-29 | 14.9% | 28.6% | -13.6% |
#14 | Oladapo Afolayan FC St. Pauli | 27-29 | 14.9% | 28.6% | -13.6% |
#15 | Silas VfB Stuttgart | 27-29 | 14.9% | 28.6% | -13.6% |
#16 | Nathan Tella Bayer 04 Leverkusen | 24-26 | 28.1% | 39.3% | -11.2% |
#17 | Niklas Beste SC Freiburg | 24-26 | 28.1% | 39.3% | -11.2% |
#18 | Lenny Pintor LASK | 24-26 | 28.1% | 39.3% | -11.2% |
#19 | Andreas Skov Olsen VfL Wolfsburg | 24-26 | 28.1% | 39.3% | -11.2% |
#20 | Jesper Lindstrøm VfL Wolfsburg | 24-26 | 28.1% | 39.3% | -11.2% |
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: 9 immediate targets, 9 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 €100.0M. 0 undervalued, 0 premium.
Value Positioning vs Peers
Player | Market Value | Position Median | Z-Score | Assessment |
---|---|---|---|---|
Lenny Pintor LASK | €400K | €7.0M | -1.15 | Good Value |
Jan Thielmann 1.FC Köln | €3.0M | €7.0M | -1.00 | Good Value |
Johan Bakayoko RB Leipzig | €30.0M | €7.0M | -1.00 | Good Value |
Marco Tilio Rapid Vienna | €1.3M | €7.0M | -0.81 | Good Value |
Nathan Tella Bayer 04 Leverkusen | €15.0M | €7.0M | -0.60 | Good Value |
Patrick Wimmer VfL Wolfsburg | €15.0M | €7.0M | -0.60 | Good Value |
David Atanga Wolfsberger AC | €500K | €7.0M | -0.33 | Fair Value |
Arnaud Nordin 1.FSV Mainz 05 | €5.0M | €7.0M | -0.29 | Fair Value |
Bakery Jatta Hamburger SV | €1.0M | €7.0M | -0.17 | Fair Value |
Sirlord Conteh 1.FC Heidenheim 1846 | €1.5M | €7.0M | 0.00 | Fair Value |
Niklas Beste SC Freiburg | €7.0M | €7.0M | 0.00 | Fair Value |
Ritsu Doan Eintracht Frankfurt | €25.0M | €7.0M | 0.00 | Fair Value |
Ansgar Knauff Eintracht Frankfurt | €15.0M | €7.0M | 0.00 | Fair Value |
Karim Adeyemi Borussia Dortmund | €45.0M | €7.0M | 0.00 | Fair Value |
Jesper Lindstrøm VfL Wolfsburg | €18.0M | €7.0M | 0.00 | Fair Value |
Michael Olise Bayern Munich | €100.0M | €7.0M | 0.00 | Fair Value |
Justin Njinmah SV Werder Bremen | €7.0M | €7.0M | 0.00 | Fair Value |
Silas VfB Stuttgart | €7.0M | €7.0M | 0.00 | Fair Value |
Eren Dinkçi SC Freiburg | €8.0M | €7.0M | 0.00 | Fair Value |
Rayan Philippe Hamburger SV | €3.5M | €7.0M | 0.00 | Fair Value |