Best Midfielders in the Bundesliga (Jun 2026)
Ranked by Analytical Strength Score
Market Overview: Bundesliga Midfielders 2024-25
Our database tracked 51 Bundesliga Midfielders in the 2024-25 season, representing 24 clubs with a combined market value of €514.4M. The average market value for Bundesliga Midfielders was €10.1M, with the average age at 26.6 years old.
The most valuable midfielder in the Bundesliga was Felix Nmecha, worth €45.0M and played for Borussia Dortmund at 25 years old. The top 5 Midfielders averaged €37.0M in market value, including Hugo Larsson and Tom Bischof.
Age distribution showed the youngest tracked midfielder was Tom Bischof (20 years, Bayern Munich, €40.0M), while the oldest was Kevin Kampl (35 years, RB Leipzig, €2.0M). Research shows Midfielders typically peak at age 26-27.
Historical analysis showed 22 Midfielders (43%) 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 Midfielders remained highly competitive with significant transfer activity 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 Midfielders. Identify undervalued assets and track market momentum across 24 clubs with €514.4M combined value.
Age Distribution: Bundesliga Midfielders
The Bundesliga CM market shows 5 distinct age segments, with the largest cohort in the 27-29 bracket (15 players, 29% of market). The 27-29 age group holds the most value at €136.9M, averaging €9.1M per player.
Top Midfielders by Age Bracket
U21 Years (3 players)
21-23 Years (8 players)
24-26 Years (13 players)
27-29 Years (15 players)
Market Value Distribution
Elite Tier Concentration
The top 6 Midfielders (12% of players) control €213.0M
Market Tiers
Market structure shows distributed value with premium (€30-50m) tier representing 10% of the Bundesliga CM pool.
Premium (€30-50M)
High (€15-30M)
Mid (€5-15M)
Club Distribution: Bundesliga Midfielders
Among 24 Bundesliga clubs, Borussia Dortmund leads with 3 Midfielders worth €77.0M (averaging €25.7M per player). The top 10 clubs account for 55% of tracked Midfielders.
Borussia Dortmund (3 Midfielders)
Eintracht Frankfurt (4 Midfielders)
RB Leipzig (4 Midfielders)
Bayern Munich (2 Midfielders)
Player Rankings
Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.
Felix Nmecha
Borussia Dortmund • 25 years old
€38.9M
€45.0M
+15.6%
Expected: €45.8M
86.8
Hugo Larsson
Eintracht Frankfurt • 21 years old
€34.6M
€40.0M
+15.6%
Expected: €45.9M
85.0
Tom Bischof
Bayern Munich • 20 years old
€34.6M
€40.0M
+15.6%
Expected: €47.7M
84.6
Exequiel Palacios
Bayer 04 Leverkusen • 27 years old
€31.7M
€30.0M
-5.4%
Expected: €26.3M
77.8
Johan Manzambi
SC Freiburg • 20 years old
€25.9M
€30.0M
+15.6%
Expected: €34.4M
77.2
Assan Ouédraogo
RB Leipzig • 20 years old
€24.2M
€28.0M
+15.6%
Expected: €32.1M
76.4
Carney Chukwuemeka
Borussia Dortmund • 22 years old
€21.6M
€25.0M
+15.6%
Expected: €26.5M
76.2
Aleix García
Bayer 04 Leverkusen • 28 years old
€25.8M
€20.0M
-22.6%
Expected: €17.5M
72.8
Rocco Reitz
Borussia Mönchengladbach • 24 years old
€14.7M
€17.0M
+15.6%
Expected: €17.4M
71.5
Ezechiel Banzuzi
RB Leipzig • 21 years old
€15.6M
€18.0M
+15.6%
Expected: €19.8M
71.5
Nadiem Amiri
1.FSV Mainz 05 • 29 years old
€22.0M
€17.0M
-22.6%
Expected: €14.1M
70.9
Farès Chaïbi
Eintracht Frankfurt • 23 years old
€13.0M
€15.0M
+15.6%
Expected: €16.1M
70.4
Leon Goretzka
Bayern Munich • 31 years old
€19.4M
€15.0M
-22.6%
Expected: €12.4M
69.7
Mads Bidstrup
Red Bull Salzburg • 25 years old
€13.0M
€15.0M
+15.6%
Expected: €14.7M
69.2
Jens Stage
SV Werder Bremen • 29 years old
€18.1M
€14.0M
-22.6%
Expected: €11.6M
68.5
Mattias Svanberg
VfL Wolfsburg • 27 years old
€12.7M
€12.0M
-5.4%
Expected: €10.5M
66.4
Ísak Jóhannesson
1.FC Köln • 23 years old
€8.6M
€10.0M
+15.6%
Expected: €10.7M
61.8
Maximilian Eggestein
SC Freiburg • 29 years old
€12.9M
€10.0M
-22.6%
Expected: €8.3M
60.7
Xaver Schlager
RB Leipzig • 28 years old
€12.9M
€10.0M
-22.6%
Expected: €8.8M
60.6
Joel Chima Fujita
FC St. Pauli • 24 years old
€6.9M
€8.0M
+15.6%
Expected: €8.2M
58.5
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)
Borussia Dortmund's Felix Nmecha at 25 years old has the highest Pre-Peak Value Efficiency at 9.00×. That means Felix Nmecha is valued 9.00× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.
In second is Borussia Mönchengladbach's Rocco Reitz, who is 24 years old, with a 3.40× PPVE. Third is Mads Bidstrup of Red Bull Salzburg, who is 25 years old with a 3.00× 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 9.00× means the player is worth 800% 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 | Felix Nmecha Borussia Dortmund | 25 | 24-26 | €45.0M | €5.0M | 9.00× |
| #2 | Rocco Reitz Borussia Mönchengladbach | 24 | 24-26 | €17.0M | €5.0M | 3.40× |
| #3 | Mads Bidstrup Red Bull Salzburg | 25 | 24-26 | €15.0M | €5.0M | 3.00× |
| #4 | Hugo Larsson Eintracht Frankfurt | 21 | 21-23 | €40.0M | €15.0M | 2.67× |
| #5 | Carney Chukwuemeka Borussia Dortmund | 22 | 21-23 | €25.0M | €15.0M | 1.67× |
| #6 | Joel Chima Fujita FC St. Pauli | 24 | 24-26 | €8.0M | €5.0M | 1.60× |
| #7 | Tom Bischof Bayern Munich | 20 | U21 | €40.0M | €30.0M | 1.33× |
| #8 | Ezechiel Banzuzi RB Leipzig | 21 | 21-23 | €18.0M | €15.0M | 1.20× |
| #9 | Han-Noah Massengo FC Augsburg | 24 | 24-26 | €5.0M | €5.0M | 1.00× |
| #10 | Farès Chaïbi Eintracht Frankfurt | 23 | 21-23 | €15.0M | €15.0M | 1.00× |
| #11 | Johan Manzambi SC Freiburg | 20 | U21 | €30.0M | €30.0M | 1.00× |
| #12 | Assan Ouédraogo RB Leipzig | 20 | U21 | €28.0M | €30.0M | 0.93× |
| #13 | Tom Krauß 1.FC Köln | 24 | 24-26 | €3.5M | €5.0M | 0.70× |
| #14 | Ísak Jóhannesson 1.FC Köln | 23 | 21-23 | €10.0M | €15.0M | 0.67× |
| #15 | Denis Huseinbasic 1.FC Köln | 24 | 24-26 | €3.0M | €5.0M | 0.60× |
| #16 | Oscar Højlund Eintracht Frankfurt | 21 | 21-23 | €7.5M | €15.0M | 0.50× |
| #17 | Jens Castrop Borussia Mönchengladbach | 22 | 21-23 | €6.0M | €15.0M | 0.40× |
| #18 | Luca Kerber 1.FC Heidenheim 1846 | 24 | 24-26 | €2.0M | €5.0M | 0.40× |
| #19 | Ismaila Coulibaly LASK | 25 | 24-26 | €1.0M | €5.0M | 0.20× |
| #20 | Julius Beck SK Sturm Graz | 21 | 21-23 | €500K | €15.0M | 0.03× |
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)
Bayern Munich's Tom Bischof at 20 years old has the highest Return-to-Peak Potential at +35%. That means Tom Bischof is projected to appreciate 35% as they reach their peak age in 6 years—representing significant upside before entering their prime.
In second is RB Leipzig's Assan Ouédraogo, who is 20 years old, with a +35% RPP (6 years to peak). Third is Johan Manzambi of SC Freiburg, who is 20 years old with a +35% RPP (6 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 35% RPP means the player is expected to gain 35% 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 | Tom Bischof Bayern Munich | 20 | 6 | €40.0M | €61.8M | +35% |
| #2 | Assan Ouédraogo RB Leipzig | 20 | 6 | €28.0M | €43.3M | +35% |
| #3 | Johan Manzambi SC Freiburg | 20 | 6 | €30.0M | €46.4M | +35% |
| #4 | Julius Beck SK Sturm Graz | 21 | 5 | €500K | €719K | +30% |
| #5 | Ezechiel Banzuzi RB Leipzig | 21 | 5 | €18.0M | €25.9M | +30% |
| #6 | Oscar Højlund Eintracht Frankfurt | 21 | 5 | €7.5M | €10.8M | +30% |
| #7 | Hugo Larsson Eintracht Frankfurt | 21 | 5 | €40.0M | €57.5M | +30% |
| #8 | Carney Chukwuemeka Borussia Dortmund | 22 | 4 | €25.0M | €33.4M | +25% |
| #9 | Jens Castrop Borussia Mönchengladbach | 22 | 4 | €6.0M | €8.0M | +25% |
| #10 | Ísak Jóhannesson 1.FC Köln | 23 | 3 | €10.0M | €12.4M | +20% |
| #11 | Farès Chaïbi Eintracht Frankfurt | 23 | 3 | €15.0M | €18.6M | +20% |
| #12 | Tom Krauß 1.FC Köln | 24 | 2 | €3.5M | €4.0M | +14% |
| #13 | Rocco Reitz Borussia Mönchengladbach | 24 | 2 | €17.0M | €19.7M | +14% |
| #14 | Han-Noah Massengo FC Augsburg | 24 | 2 | €5.0M | €5.8M | +14% |
| #15 | Denis Huseinbasic 1.FC Köln | 24 | 2 | €3.0M | €3.5M | +14% |
| #16 | Joel Chima Fujita FC St. Pauli | 24 | 2 | €8.0M | €9.2M | +14% |
| #17 | Luca Kerber 1.FC Heidenheim 1846 | 24 | 2 | €2.0M | €2.3M | +14% |
| #18 | Mads Bidstrup Red Bull Salzburg | 25 | 1 | €15.0M | €16.1M | +7% |
| #19 | Ismaila Coulibaly LASK | 25 | 1 | €1.0M | €1.1M | +7% |
| #20 | Felix Nmecha Borussia Dortmund | 25 | 1 | €45.0M | €48.4M | +7% |
Risk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Understanding Risk-Adjusted Upside (RAU)
Bayern Munich's Tom Bischof has the highest Risk-Adjusted Upside at 58.7. That means Tom Bischof has 19% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.
In second is Eintracht Frankfurt's Hugo Larsson with a 46.6 RAU (15% upside, 0% uncertainty). Third is Johan Manzambi of SC Freiburg with a 46.3 RAU (15% upside, 0% uncertainty).
How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 58.7 means the upside is 58.7× 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 | Tom Bischof Bayern Munich | €47.7M | €41.1M-54.3M | +19% | 58.7 |
| #2 | Hugo Larsson Eintracht Frankfurt | €45.9M | €39.6M-52.2M | +15% | 46.6 |
| #3 | Johan Manzambi SC Freiburg | €34.4M | €29.7M-39.1M | +15% | 46.3 |
| #4 | Assan Ouédraogo RB Leipzig | €32.1M | €27.7M-36.5M | +15% | 46.3 |
| #5 | Oscar Højlund Eintracht Frankfurt | €8.3M | €7.1M-9.4M | +10% | 33.7 |
| #6 | Ezechiel Banzuzi RB Leipzig | €19.8M | €17.1M-22.6M | +10% | 33.7 |
| #7 | Julius Beck SK Sturm Graz | €551K | €475K-627K | +10% | 33.7 |
| #8 | Farès Chaïbi Eintracht Frankfurt | €16.1M | €14.1M-18.0M | +7% | 27.5 |
| #9 | Ísak Jóhannesson 1.FC Köln | €10.7M | €9.4M-12.0M | +7% | 27.5 |
| #10 | Carney Chukwuemeka Borussia Dortmund | €26.5M | €23.3M-29.6M | +6% | 23.0 |
| #11 | Jens Castrop Borussia Mönchengladbach | €6.4M | €5.6M-7.1M | +6% | 23.0 |
| #12 | Albert Sambi Lokonga Hamburger SV | €8.2M | €7.2M-9.2M | +3% | 12.0 |
| #13 | Nikolas Nartey VfB Stuttgart | €2.1M | €1.8M-2.3M | +3% | 12.0 |
| #14 | Connor Metcalfe FC St. Pauli | €2.1M | €1.8M-2.3M | +3% | 12.0 |
| #15 | Jan Schöppner 1.FC Heidenheim 1846 | €4.1M | €3.6M-4.6M | +3% | 12.0 |
| #16 | Tom Krauß 1.FC Köln | €3.6M | €3.2M-4.0M | +2% | 9.8 |
| #17 | Denis Huseinbasic 1.FC Köln | €3.1M | €2.7M-3.4M | +2% | 9.8 |
| #18 | Rocco Reitz Borussia Mönchengladbach | €17.4M | €15.3M-19.5M | +2% | 9.8 |
| #19 | Joel Chima Fujita FC St. Pauli | €8.2M | €7.2M-9.2M | +2% | 9.8 |
| #20 | Luca Kerber 1.FC Heidenheim 1846 | €2.0M | €1.8M-2.3M | +2% | 9.8 |
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: midfielder 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)
Borussia Dortmund's Marcel Sabitzer in the 30+ age bracket has the highest Age-Share Concentration at +-15.4%. That means Leon Goretzka captures 8.2% of total market value while representing only 23.5% of players in their age group—showing dominant elite status.
In second is VfL Wolfsburg's Maximilian Arnold with a +-15.4% ASC (8.2% value share vs 23.5% player share in 30+ bracket). Third is Alessandro Schöpf of Wolfsberger AC with a +-15.4% ASC (8.2% value vs 23.5% players in 30+ bracket).
How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +-15.4% ASC means the player captures -15.4% 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 | Marcel Sabitzer Borussia Dortmund | 30+ | 8.2% | 23.5% | -15.4% |
| #2 | Maximilian Arnold VfL Wolfsburg | 30+ | 8.2% | 23.5% | -15.4% |
| #3 | Alessandro Schöpf Wolfsberger AC | 30+ | 8.2% | 23.5% | -15.4% |
| #4 | Yannick Gerhardt VfL Wolfsburg | 30+ | 8.2% | 23.5% | -15.4% |
| #5 | Leon Goretzka Bayern Munich | 30+ | 8.2% | 23.5% | -15.4% |
| #6 | Janik Haberer 1.FC Union Berlin | 30+ | 8.2% | 23.5% | -15.4% |
| #7 | Mahmoud Dahoud Eintracht Frankfurt | 30+ | 8.2% | 23.5% | -15.4% |
| #8 | Jackson Irvine FC St. Pauli | 30+ | 8.2% | 23.5% | -15.4% |
| #9 | Mike-Steven Bähre SCR Altach | 30+ | 8.2% | 23.5% | -15.4% |
| #10 | Grischa Prömel TSG 1899 Hoffenheim | 30+ | 8.2% | 23.5% | -15.4% |
| #11 | Kevin Kampl RB Leipzig | 30+ | 8.2% | 23.5% | -15.4% |
| #12 | Leonardo Bittencourt SV Werder Bremen | 30+ | 8.2% | 23.5% | -15.4% |
| #13 | Tom Bischof Bayern Munich | U21 | 19.1% | 5.9% | +13.2% |
| #14 | Assan Ouédraogo RB Leipzig | U21 | 19.1% | 5.9% | +13.2% |
| #15 | Johan Manzambi SC Freiburg | U21 | 19.1% | 5.9% | +13.2% |
| #16 | Ísak Jóhannesson 1.FC Köln | 21-23 | 23.7% | 15.7% | +8.0% |
| #17 | Jens Castrop Borussia Mönchengladbach | 21-23 | 23.7% | 15.7% | +8.0% |
| #18 | Carney Chukwuemeka Borussia Dortmund | 21-23 | 23.7% | 15.7% | +8.0% |
| #19 | Julius Beck SK Sturm Graz | 21-23 | 23.7% | 15.7% | +8.0% |
| #20 | Oscar Højlund Eintracht Frankfurt | 21-23 | 23.7% | 15.7% | +8.0% |
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, 10 standard acquisitions, 0 watch-list prospects, 24 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 €45.0M. 1 undervalued, 1 premium.
Value Positioning vs Peers
| Player | Market Value | Position Median | Z-Score | Assessment |
|---|---|---|---|---|
Youba Diarra TSV Hartberg | €400K | €4.5M | -2.07 | Undervalued |
Dennis Geiger TSG 1899 Hoffenheim | €1.5M | €4.5M | -1.33 | Good Value |
Mike-Steven Bähre SCR Altach | €400K | €4.5M | -1.23 | Good Value |
Nadiem Amiri 1.FSV Mainz 05 | €17.0M | €4.5M | -1.00 | Good Value |
Mads Bidstrup Red Bull Salzburg | €15.0M | €4.5M | -1.00 | Good Value |
Han-Noah Massengo FC Augsburg | €5.0M | €4.5M | -1.00 | Good Value |
Johan Manzambi SC Freiburg | €30.0M | €4.5M | -1.00 | Good Value |
Alessandro Schöpf Wolfsberger AC | €900K | €4.5M | -0.85 | Good Value |
Mathias Rasmussen FC St. Pauli | €2.5M | €4.5M | -0.67 | Good Value |
Ismaila Coulibaly LASK | €1.0M | €4.5M | -0.67 | Good Value |
Leonardo Bittencourt SV Werder Bremen | €1.2M | €4.5M | -0.62 | Good Value |
Maximilian Eggestein SC Freiburg | €10.0M | €4.5M | -0.50 | Fair Value |
Xaver Schlager RB Leipzig | €10.0M | €4.5M | -0.50 | Fair Value |
Jackson Irvine FC St. Pauli | €1.5M | €4.5M | -0.38 | Fair Value |
Jens Castrop Borussia Mönchengladbach | €6.0M | €4.5M | -0.38 | Fair Value |
Farès Chaïbi Eintracht Frankfurt | €15.0M | €4.5M | -0.30 | Fair Value |
Marcel Sabitzer Borussia Dortmund | €7.0M | €4.5M | 0.00 | Fair Value |
Yannick Gerhardt VfL Wolfsburg | €2.0M | €4.5M | 0.00 | Fair Value |
Leon Goretzka Bayern Munich | €15.0M | €4.5M | 0.00 | Fair Value |
Mahmoud Dahoud Eintracht Frankfurt | €2.0M | €4.5M | 0.00 | Fair Value |
