Best Players (All Positions) in the Bundesliga (Sep 2026)
933 players tracked across 31 clubs. Updated September 2026.
Ranked by Analytical Strength Index
Market Overview: Bundesliga Players (All Positions) 2026-27
Our database tracked 933 Bundesliga Players (All Positions) in the 2026-27 season, representing 31 clubs with a combined market value of €5.5B. The average market value for Bundesliga Players (All Positions) was €5.9M, with the average age at 28 years old.
The most valuable player in the Bundesliga was Michael Olise, worth €150.0M and played for Bayern Munich at 24 years old. The top 5 Players (All Positions) averaged €100.0M in market value, including Jamal Musiala and Aleksandar Pavlovic.
Age distribution showed the youngest tracked player was Lennart Karl (18 years, Bayern Munich, €60.0M), while the oldest was Manuel Neuer (40 years, Bayern Munich, €4.0M). Research shows Players (All Positions) typically peak at age 26.
Historical analysis showed 295 Players (All Positions) (32%) 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 Players (All Positions) remained highly competitive with significant transfer activity in the 2026-27 season.
Explore Market Size by Position in Bundesliga
Interactive bubble chart showing predicted 2-year growth vs current age for all Bundesliga Players (All Positions). Identify undervalued assets and track market momentum across 31 clubs with €5.5B combined value.
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.
Player Rankings
Ranked by Analytical Strength Index. Click any player to view full profile, or click the chart icon to see value history.
Michael Olise
Bayern Munich • 24 years old
€129.7M
€150.0M
+15.6%
Expected: €149.7M
95.5
Jamal Musiala
Bayern Munich • 23 years old
€86.5M
€100.0M
+15.6%
Expected: €94.6M
94.6
Aleksandar Pavlovic
Bayern Munich • 22 years old
€77.8M
€90.0M
+15.6%
Expected: €87.6M
93.7
Dayot Upamecano
Bayern Munich • 27 years old
€60.5M
€70.0M
+15.6%
Expected: €69.2M
93.6
Yan Diomande
RB Leipzig • 19 years old
€77.8M
€90.0M
+15.6%
Expected: €89.2M
91.3
Nico Schlotterbeck
Borussia Dortmund • 26 years old
€47.6M
€55.0M
+15.6%
90.8
Luis Díaz
Bayern Munich • 29 years old
€90.4M
€70.0M
-22.6%
90.4
Castello Lukeba
RB Leipzig • 23 years old
€43.2M
€50.0M
+15.6%
89.5
Lennart Karl
Bayern Munich • 18 years old
€51.9M
€60.0M
+15.6%
88.6
Felix Nmecha
Borussia Dortmund • 25 years old
€43.2M
€50.0M
+15.6%
88.6
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Sign up freeMichael Olise
Bayern Munich · 24 years old
95.5
ASI
Current Value
€150.0M
% Change
+15.6%
1yr Forecast Range
€122.8M - €176.7M
Jamal Musiala
Bayern Munich · 23 years old
94.6
ASI
Current Value
€100.0M
% Change
+15.6%
1yr Forecast Range
€82.3M - €106.8M
Aleksandar Pavlovic
Bayern Munich · 22 years old
93.7
ASI
Current Value
€90.0M
% Change
+15.6%
1yr Forecast Range
€76.2M - €99.0M
Dayot Upamecano
Bayern Munich · 27 years old
93.6
ASI
Current Value
€70.0M
% Change
+15.6%
1yr Forecast Range
€62.3M - €76.1M
Yan Diomande
RB Leipzig · 19 years old
91.3
ASI
Current Value
€90.0M
% Change
+15.6%
1yr Forecast Range
€70.8M - €107.7M
Nico Schlotterbeck
Borussia Dortmund · 26 years old
90.8
ASI
Current Value
€55.0M
% Change
+15.6%
1yr Forecast Range
Luis Díaz
Bayern Munich · 29 years old
90.4
ASI
Current Value
€70.0M
% Change
-22.6%
1yr Forecast Range
Castello Lukeba
RB Leipzig · 23 years old
89.5
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
Lennart Karl
Bayern Munich · 18 years old
88.6
ASI
Current Value
€60.0M
% Change
+15.6%
1yr Forecast Range
Felix Nmecha
Borussia Dortmund · 25 years old
88.6
ASI
Current Value
€50.0M
% Change
+15.6%
1yr Forecast Range
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Sign up freeAge Distribution: Bundesliga Players (All Positions)
The Bundesliga ALL market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (352 players, 38% of market). The 24-26 age group holds the most value at €1.6B, averaging €9.0M per player.
Top Players (All Positions) by Age Bracket
U21 Years (76 players)
21-23 Years (147 players)
24-26 Years (172 players)
27-29 Years (186 players)
Market Value Distribution
Elite Tier Concentration
The top 94 Players (All Positions) (10% of players) control €3.2B
Market Tiers
Market structure shows distributed value with elite (€50m+) tier representing 1% of the Bundesliga ALL pool.
Elite (€50M+)
Premium (€30-50M)
High (€15-30M)
Club Distribution: Bundesliga Players (All Positions)
Among 31 Bundesliga clubs, Bayern Munich leads with 38 Players (All Positions) worth €985.8M (averaging €25.9M per player). The top 10 clubs account for 48% of tracked Players (All Positions).
Bayern Munich (38 Players (All Positions))
RB Leipzig (38 Players (All Positions))
Borussia Dortmund (46 Players (All Positions))
Bayer 04 Leverkusen (36 Players (All Positions))
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 24 years old has the highest Pre-Peak Value Efficiency at 50.00×. That means Michael Olise is valued 50.00× higher than the median player in the 24-26 age bracket-representing exceptional value before reaching peak age.
In second is Bayern Munich's Jamal Musiala, who is 23 years old, with a 33.33× PPVE. Third is Aleksandar Pavlovic of Bayern Munich, who is 22 years old with a 30.00× 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 50.00× means the player is worth 4900% 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 | 24 | 24-26 | €150.0M | €3.0M | 50.00x |
| #2 | Jamal Musiala Bayern Munich | 23 | 21-23 | €100.0M | €3.0M | 33.33x |
| #3 | Aleksandar Pavlovic Bayern Munich | 22 | 21-23 | €90.0M | €3.0M | 30.00x |
| #4 | Yan Diomande RB Leipzig | 19 | U21 | €90.0M | €4.0M | 22.50x |
| #5 | Felix Nmecha Borussia Dortmund | 25 | 24-26 | €50.0M | €3.0M | 16.67x |
| #6 | Castello Lukeba RB Leipzig | 23 | 21-23 | €50.0M | €3.0M | 16.67x |
| #7 | Lennart Karl Bayern Munich | 18 | U21 | €60.0M | €4.0M | 15.00x |
| #8 | Angelo Stiller VfB Stuttgart | 25 | 24-26 | €45.0M | €3.0M | 15.00x |
| #9 | Jarell Quansah Bayer 04 Leverkusen | 23 | 21-23 | €45.0M | €3.0M | 15.00x |
| #10 | Alphonso Davies Bayern Munich | 25 | 24-26 | €40.0M | €3.0M | 13.33x |
| #11 | Karim Adeyemi Borussia Dortmund | 24 | 24-26 | €40.0M | €3.0M | 13.33x |
| #12 | Jamie Leweling VfB Stuttgart | 25 | 24-26 | €40.0M | €3.0M | 13.33x |
| #13 | Xavi Simons RB Leipzig | 23 | 21-23 | €40.0M | €3.0M | 13.33x |
| #14 | Maximilian Beier Borussia Dortmund | 23 | 21-23 | €40.0M | €3.0M | 13.33x |
| #15 | Kaishu Sano 1.FSV Mainz 05 | 25 | 24-26 | €40.0M | €3.0M | 13.33x |
| #16 | Nathaniel Brown Eintracht Frankfurt | 23 | 21-23 | €40.0M | €3.0M | 13.33x |
| #17 | Nicolas Jackson Bayern Munich | 25 | 24-26 | €40.0M | €3.0M | 13.33x |
| #18 | Tom Bischof Bayern Munich | 21 | 21-23 | €40.0M | €3.0M | 13.33x |
| #19 | Johan Manzambi SC Freiburg | 20 | U21 | €50.0M | €4.0M | 12.50x |
| #20 | Fisnik Asllani TSG 1899 Hoffenheim | 24 | 24-26 | €35.0M | €3.0M | 11.67x |
Return-to-Peak Potential (RPP)
Recovery potential from current value to forecasted peak. Shows how much upside remains for players approaching their prime.
Unlock Return-to-Peak analysis for Bundesliga Players (All Positions).
Upgrade to FanRisk-Adjusted Upside (RAU)
Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.
Unlock Risk-Adjusted Upside for Bundesliga Players (All Positions).
Upgrade to FanRoster Pressure Index (RPI)
Squad depth pressure based on Z-score distribution. Negative RPI = thin depth, positive = deep roster.
Unlock Roster Pressure Index for Bundesliga Players (All Positions).
Upgrade to FanAge-Share Concentration (ASC)
Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.
Unlock Age-Share Concentration for Bundesliga Players (All Positions).
Upgrade to FanBuy-Now vs Wait-List Map
Categorizes players by age position and upside potential to guide timing of acquisition.
Unlock the Buy Map for Bundesliga Players (All Positions).
Upgrade to FanPrice vs Peer Z-Score
IQR-based pricing analysis relative to position peers. Identifies over/undervalued players vs market.
Unlock Peer Z-Score analysis for Bundesliga Players (All Positions).
Upgrade to FanIf you were Bundesliga's sporting director, who would you sign?
Pick a club, select up to 3 players, and build your transfer proposal.
How We Rank Bundesliga Players (All Positions)
Our Analytical Strength Index is calibrated specifically for players (all positions), using position-specific age curves and playing time benchmarks. The model draws from academic research on player valuation (Franck & Nüesch, 2012) and age-performance curves (Dendir, 2016).
Scoring Components for ALL
Historical Achievement Index (35%)
Peak career market value for Bundesliga players (all positions), reflecting proven track record and reputation. Uses log-scale to account for exponential value distribution at elite level.
Current Performance Proxy (30%)
Present market value for Bundesliga players (all positions), capturing recent form, injuries, and current performance level. Weighted to reflect age-related depreciation patterns.
Playing Time Utilization (18%)
Midfielders with 2,400+ minutes score highest, indicating regular starting role and sustained performance.
Age-Adjusted Performance Curve (12%)
Midfielders peak at 27 with 6.0%/year decline. Pre-peak players score higher on development trajectory.
Competition Level Adjustment (3%)
Bundesliga receives Top 5 European league premium for competitive intensity and quality of opposition.
Performance Expectations Multiplier (2%)
Players at clubs with Champions League pedigree face higher performance standards and tactical complexity, contributing to development and market validation.
ALL Performance Benchmarks
Peak Age: 27 years (technical skill and tactical awareness)
Decline Rate: Widening steps, not a flat rate: about -5% at 28, -10% at 29, steeper from 30 (technical skills age better than physical attributes)
Optimal Minutes: 2,400-2,500 per season (balance of involvement and recovery)
1-Year Market Value Forecast
Probabilistic model combining age-curve depreciation, value momentum, and playing time factors:
• Age Factor: Compounding and banded around a peak of 27: +25%/year through age 21, +15% at 22-23, +10% up to the year before peak, then -5%, -10% and steeper with each later band. Growth is damped above €30M.
• Value Trajectory: Near career peak (>95% of peak value): +3% momentum | Moderate decline: -5%
• Playing Time Factor: Regular starters (+2%), Squad rotation (-2%)
• Forecast Range: ±12-15% confidence interval
Research Foundation
• Dendir (2016): Age-performance curves for players (all positions)
• Carmichael et al. (2011): Player depreciation in top leagues
• Franck & Nüesch (2012): Hedonic pricing models for talent valuation
• Szymanski, S. (2015). Money and Soccer: A Soccernomics Guide
Frequently Asked Questions
Common questions about Bundesliga Players (All Positions) in the 2026-27 season
Who are the most valuable Players (All Positions) in the Bundesliga in 2026-27?
The most valuable player in the Bundesliga in 2026-27 is Michael Olise, who is worth €150.0M and plays for Bayern Munich. The second most valuable is Jamal Musiala (€100.0M, Bayern Munich), followed by Aleksandar Pavlovic (€90.0M, Bayern Munich). Our database tracks 933 Bundesliga Players (All Positions) with comprehensive market valuations updated for the 2026-27 season.
How are Bundesliga Players (All Positions) ranked?
Bundesliga Players (All Positions) are ranked by our proprietary Analytical Strength Index, which is specifically calibrated for Players (All Positions). The score combines six factors: Historical Achievement Index (35%) measuring peak career value, Current Performance Proxy (30%) reflecting recent market signals, Playing Time Utilization (18%) tracking minutes played, Age-Adjusted Performance Curve (12%) using position-specific peak ages, League Quality Coefficient (3%) for Bundesliga competition level, and Club Tier Multiplier (2%) accounting for club prestige. This methodology is grounded in academic research including work by Dendir (2016) on age-performance curves and Franck & Nüesch (2012) on hedonic pricing models.
What age do Players (All Positions) peak?
How much does it cost to sign a top player from the Bundesliga?
Transfer fees for Bundesliga Players (All Positions) vary significantly based on market value, contract length, and club bargaining position. For the top-ranked player Michael Olise (market value: €150.0M), estimated transfer fees would range from €120.0M to €210.0M depending on contract situation. Players with longer contracts (3+ years) command premium fees (1.2-1.4× market value), while those in the final year may be available for 0.8-1.1× market value. Our fee estimates are derived from historical transfer patterns and contract-clock modifiers validated against actual Bundesliga transactions.
What is the value forecast for Bundesliga Players (All Positions)?
Our 1-year forecast model projects market value changes for Bundesliga Players (All Positions) based on age-curve depreciation, historical trajectory, and playing time adjustments. The forecast combines three factors: age-based appreciation/depreciation (pre-peak players compound gains toward their position's peak age, up to +25% a year through age 21 and easing as they approach it, while post-peak players fall in widening steps), market trajectory momentum (comparing current to peak value), and playing time confidence (regular starters receive +2% boost). Forecast confidence intervals account for position-specific volatility-midfielders have ±12-15% volatility. Young players (under 22) and older players (over 32) receive 1.15× uncertainty multipliers due to unpredictable development or decline patterns.
Where does the Bundesliga player data come from?
Our Bundesliga player data is sourced from Football Analytics AI's proprietary Transfer Intelligence Database, which aggregates market valuations, player statistics, contract information, and transfer histories from multiple industry sources. Market values are updated regularly based on player performance, injuries, contract negotiations, and transfer market activity. We enhance this data with our proprietary analytics including position-specific scoring algorithms, age-performance curves calibrated to academic research, and statistical forecast models. All data is validated against official Bundesliga sources and updated monthly for the 2026-27 season to ensure accuracy for recruitment and investment decisions.