Best Strikers in the World (Jun 2026)

Ranked by Analytical Strength Score

Market Overview: World Strikers 2022-23

Our database tracked 998 World Strikers in the 2022-23 season, representing 689 clubs with a combined market value of €2.0B. The average market value for World Strikers was €2.0M, with the average age at 28.9 years old.

The most valuable striker in the World was Erling Haaland, worth €200.0M and played for Manchester City at 25 years old. The top 5 Strikers averaged €72.6M in market value, including Harry Kane and Serhou Guirassy.

Age distribution showed the youngest tracked striker was Francesco Camarda (18 years, US Lecce, €15.0M), while the oldest was Edin Dzeko (40 years, FC Schalke 04, €1.5M). Research shows Strikers typically peak at age 26.

Historical analysis showed 252 Strikers (25%) increased in market value over the following 12 months based on age-curve trajectories, then-current performance trends, and playing time analysis. The World market for Strikers remained highly competitive with significant transfer activity 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.

Market Intelligence

Explore Market Size by Position in World

Interactive bubble chart showing predicted 2-year growth vs current age for all World Strikers. Identify undervalued assets and track market momentum across 689 clubs with €2.0B combined value.

998

Players Tracked

By League

Premier League La Liga Bundesliga Serie A Ligue 1

By Position

GK CB LB RB CDM

More Positions

CM CAM LW RW ST

By Season

2025-26 2024-25 2023-24 2022-23

Age Distribution: World Strikers

The World ST market shows 5 distinct age segments, with the largest cohort in the 30+ bracket (488 players, 49% of market). The 30+ age group holds the most value at €765.5M, averaging €1.6M per player.

U21 years35 players (4%)

€118.8MAvg: €3.4M

Top player: Charalampos Kostoulas (€25.0M)

21-23 years107 players (11%)

€226.4MAvg: €2.1M

Top player: Fábio Silva (€28.0M)

Elite Tier Concentration

61%of market value

The top 100 Strikers (10% of players) control €1.2B

1. Erling Haaland€200.0M

2. Harry Kane€65.0M

3. Serhou Guirassy€40.0M

4. Rômulo€30.0M

5. Fábio Silva€28.0M

Market Tiers

Elite (€50M+)2 players (0%)

€265.0M

Premium (€30-50M)2 players (0%)

€70.0M

High (€15-30M)17 players (2%)

€331.0M

Mid (€5-15M)70 players (7%)

€489.0M

Emerging (<€5M)907 players (91%)

€797.4M

Market structure shows distributed value with elite (€50m+) tier representing 0% of the World ST pool.

Elite (€50M+)

1. Erling Haaland

Manchester City€200.0M

2. Harry Kane

Bayern Munich€65.0M

Premium (€30-50M)

1. Serhou Guirassy

Borussia Dortmund€40.0M

2. Rômulo

RB Leipzig€30.0M

High (€15-30M)

1. Fábio Silva

Borussia Dortmund€28.0M

2. Emmanuel Emegha

RC Strasbourg Alsace€28.0M

3. Patrik Schick

Bayer 04 Leverkusen€25.0M

4. Charalampos Kostoulas

Brighton & Hove Albion€25.0M

5. Serge Gnabry

Bayern Munich€20.0M

Club Distribution: World Strikers

Among 689 World clubs, Manchester City leads with 1 Strikers worth €200.0M (averaging €200.0M per player). The top 10 clubs account for 7% of tracked Strikers.

Manchester City

1 players • €200.0M

Bayern Munich

2 players • €85.0M

Borussia Dortmund

2 players • €68.0M

Without Club

53 players • €33.3M

Atlético de Madrid

2 players • €31.0M

RB Leipzig

1 players • €30.0M

Sport Club Corinthians Paulista

2 players • €30.0M

Brighton & Hove Albion

2 players • €29.0M

RC Strasbourg Alsace

1 players • €28.0M

#10

Shakhtar Donetsk

3 players • €28.0M

Manchester City (1 Strikers)

Erling Haaland(25yo)

€200.0M

Bayern Munich (2 Strikers)

Harry Kane(32yo)

€65.0M

Serge Gnabry(30yo)

€20.0M

Borussia Dortmund (2 Strikers)

Serhou Guirassy(30yo)

€40.0M

Fábio Silva(23yo)

€28.0M

Without Club (53 Strikers)

Rey Manaj(29yo)

€2.5M

Paco Alcácer(32yo)

€2.5M

Andrés Vombergar(31yo)

€2.2M

Léo Bonatini(32yo)

€2.0M

Carlos González(33yo)

€1.3M

Player Rankings

Ranked by APE Strength Score. Click any player to view full profile, or click the chart icon to see value history.

Erling Haaland

Manchester City • 25 years old

€173.0M

€200.0M

+15.6%

€179.1M€227.9M

Expected: €203.5M

95.5

Harry Kane

Bayern Munich • 32 years old

€83.9M

€65.0M

-22.6%

€52.1M€66.3M

Expected: €59.2M

90.4

Serhou Guirassy

Borussia Dortmund • 30 years old

€51.7M

€40.0M

-22.6%

€30.4M€38.7M

Expected: €34.5M

73.4

Rômulo

RB Leipzig • 24 years old

€25.9M

€30.0M

+15.6%

€27.0M€34.4M

Expected: €30.7M

54.8

Fábio Silva

Borussia Dortmund • 23 years old

€24.2M

€28.0M

+15.6%

€26.4M€33.6M

Expected: €30.0M

53.9

Emmanuel Emegha

RC Strasbourg Alsace • 23 years old

€24.2M

€28.0M

+15.6%

€26.4M€33.6M

Expected: €30.0M

53.9

Patrik Schick

Bayer 04 Leverkusen • 30 years old

€32.3M

€25.0M

-22.6%

€18.2M€23.2M

Expected: €20.7M

52.6

Charalampos Kostoulas

Brighton & Hove Albion • 19 years old

€21.6M

€25.0M

+15.6%

€25.7M€33.9M

Expected: €29.8M

51.1

Serge Gnabry

Bayern Munich • 30 years old

€25.8M

€20.0M

-22.6%

€14.6M€18.6M

Expected: €16.6M

47.0

#10

Alexander Sørloth

Atlético de Madrid • 30 years old

€25.8M

€20.0M

-22.6%

€14.6M€18.6M

Expected: €16.6M

46.8

#11

Tolu Arokodare

Wolverhampton Wanderers • 25 years old

€19.0M

€22.0M

+15.6%

€18.9M€24.1M

Expected: €21.5M

46.5

#12

Yuri Alberto

Sport Club Corinthians Paulista • 25 years old

€19.0M

€22.0M

+15.6%

€18.9M€24.1M

Expected: €21.5M

46.2

#13

Jay Stansfield

Birmingham City • 23 years old

€15.6M

€18.0M

+15.6%

€17.0M€21.6M

Expected: €19.3M

43.9

#14

Romelu Lukaku

SSC Napoli • 33 years old

€19.4M

€15.0M

-22.6%

€11.3M€14.9M

Expected: €13.1M

43.8

#15

Wilson Isidor

Sunderland AFC • 25 years old

€15.6M

€18.0M

+15.6%

€15.5M€19.7M

Expected: €17.6M

42.9

#16

Christantus Uche

Crystal Palace • 23 years old

€13.0M

€15.0M

+15.6%

€14.1M€18.0M

Expected: €16.1M

41.3

#17

Konstantin Tyukavin

Dynamo Moscow • 23 years old

€13.0M

€15.0M

+15.6%

€14.1M€18.0M

Expected: €16.1M

41.0

#18

Vladyslav Vanat

Girona FC • 24 years old

€13.0M

€15.0M

+15.6%

€13.5M€17.2M

Expected: €15.4M

40.7

#19

Antoine Griezmann

Atlético de Madrid • 35 years old

€14.2M

€11.0M

-22.6%

€8.3M€11.0M

Expected: €9.6M

39.8

#20

Kauã Elias

Shakhtar Donetsk • 20 years old

€13.0M

€15.0M

+15.6%

€14.8M€19.6M

Expected: €17.2M

39.6

...

Showing 1-20 of 998

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)

Manchester City's Erling Haaland at 25 years old has the highest Pre-Peak Value Efficiency at 285.71×. That means Erling Haaland is valued 285.71× higher than the median player in the 24-26 age bracket—representing exceptional value before reaching peak age.

In second is Borussia Dortmund's Fábio Silva, who is 23 years old, with a 46.67× PPVE. Third is Emmanuel Emegha of RC Strasbourg Alsace, who is 23 years old with a 46.67× 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 285.71× means the player is worth 28471% more than typical players their age—making them high-value targets before they reach peak value.

PPVE by Age Bracket

Erling HaalandManchester City

24-26 • 25yo285.71×

€200.0M • 28471% above median

Fábio SilvaBorussia Dortmund

21-23 • 23yo46.67×

€28.0M • 4567% above median

Emmanuel EmeghaRC Strasbourg Alsace

21-23 • 23yo46.67×

€28.0M • 4567% above median

RômuloRB Leipzig

24-26 • 24yo42.86×

€30.0M • 4186% above median

Yuri AlbertoSport Club Corinthians Paulista

24-26 • 25yo31.43×

€22.0M • 3043% above median

Tolu ArokodareWolverhampton Wanderers

24-26 • 25yo31.43×

€22.0M • 3043% above median

Jay StansfieldBirmingham City

21-23 • 23yo30.00×

€18.0M • 2900% above median

Wilson IsidorSunderland AFC

24-26 • 25yo25.71×

€18.0M • 2471% above median

Charalampos KostoulasBrighton & Hove Albion

U21 • 19yo25.00×

€25.0M • 2400% above median

Christantus UcheCrystal Palace

21-23 • 23yo25.00×

€15.0M • 2400% above median

Konstantin TyukavinDynamo Moscow

21-23 • 23yo25.00×

€15.0M • 2400% above median

Vladyslav VanatGirona FC

24-26 • 24yo21.43×

€15.0M • 2043% above median

Manfred UgaldeSpartak Moscow

24-26 • 24yo20.00×

€14.0M • 1900% above median

Francesco CamardaUS Lecce

U21 • 18yo15.00×

€15.0M • 1400% above median

Kauã EliasShakhtar Donetsk

U21 • 20yo15.00×

€15.0M • 1400% above median

Rank	Player	Age	Bracket	Current Value	Bracket Median	PPVE
#1	Erling Haaland Manchester City	25	24-26	€200.0M	€700K	285.71×
#2	Fábio Silva Borussia Dortmund	23	21-23	€28.0M	€600K	46.67×
#3	Emmanuel Emegha RC Strasbourg Alsace	23	21-23	€28.0M	€600K	46.67×
#4	Rômulo RB Leipzig	24	24-26	€30.0M	€700K	42.86×
#5	Yuri Alberto Sport Club Corinthians Paulista	25	24-26	€22.0M	€700K	31.43×
#6	Tolu Arokodare Wolverhampton Wanderers	25	24-26	€22.0M	€700K	31.43×
#7	Jay Stansfield Birmingham City	23	21-23	€18.0M	€600K	30.00×
#8	Wilson Isidor Sunderland AFC	25	24-26	€18.0M	€700K	25.71×
#9	Charalampos Kostoulas Brighton & Hove Albion	19	U21	€25.0M	€1.0M	25.00×
#10	Christantus Uche Crystal Palace	23	21-23	€15.0M	€600K	25.00×
#11	Konstantin Tyukavin Dynamo Moscow	23	21-23	€15.0M	€600K	25.00×
#12	Vladyslav Vanat Girona FC	24	24-26	€15.0M	€700K	21.43×
#13	Manfred Ugalde Spartak Moscow	24	24-26	€14.0M	€700K	20.00×
#14	Francesco Camarda US Lecce	18	U21	€15.0M	€1.0M	15.00×
#15	Kauã Elias Shakhtar Donetsk	20	U21	€15.0M	€1.0M	15.00×
#16	Romeo Vermant Club Brugge KV	22	21-23	€8.0M	€600K	13.33×
#17	Matija Frigan Parma Calcio 1913	23	21-23	€7.5M	€600K	12.50×
#18	Kasper Høgh FK Bodø/Glimt	25	24-26	€8.0M	€700K	11.43×
#19	Luciano Gondou CSKA Moscow	24	24-26	€8.0M	€700K	11.43×
#20	Iván Romero Levante UD	25	24-26	€7.5M	€700K	10.71×

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)

US Lecce's Francesco Camarda at 18 years old has the highest Return-to-Peak Potential at +44%. That means Francesco Camarda is projected to appreciate 44% as they reach their peak age in 8 years—representing significant upside before entering their prime.

In second is Envigado FC's Santiago Londoño, who is 18 years old, with a +44% RPP (8 years to peak). Third is Kamil Jakóbczyk of Lech Poznan, who is 18 years old with a +44% RPP (8 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 44% RPP means the player is expected to gain 44% value as they enter their prime—making them excellent growth investments.

Recovery Potential by Player

Francesco CamardaUS Lecce

8yr to peak+44%

€15.0M → €26.8M

Santiago LondoñoEnvigado FC

8yr to peak+44%

€900K → €1.6M

Kamil JakóbczykLech Poznan

8yr to peak+44%

€250K → €447K

Francisco SilvaSL Benfica B

8yr to peak+44%

€300K → €536K

Charalampos KostoulasBrighton & Hove Albion

7yr to peak+40%

€25.0M → €41.5M

Ander IzarraEstudiantes de Mérida

7yr to peak+40%

€300K → €499K

Samy Jr. MerhegSC Braga

7yr to peak+40%

€1.0M → €1.7M

KaykeFortaleza Esporte Clube

7yr to peak+40%

€1.0M → €1.7M

Julián VignoloFC Toulouse

7yr to peak+40%

€1.0M → €1.7M

Snayder PorozoSD Aucas

7yr to peak+40%

€250K → €415K

Luis ChávezBlooming Santa Cruz

7yr to peak+40%

€250K → €415K

Allen ObandoBarcelona SC Guayaquil

7yr to peak+40%

€1.5M → €2.5M

Mustafa HekimoğluBesiktas JK

7yr to peak+40%

€5.0M → €8.3M

Ryan FranciscoSão Paulo Futebol Clube

7yr to peak+40%

€6.0M → €10.0M

Luca MeirellesShakhtar Donetsk

7yr to peak+40%

€10.0M → €16.6M

Rank	Player	Age	Years to Peak	Current	Peak Forecast	RPP %
#1	Francesco Camarda US Lecce	18	8	€15.0M	€26.8M	+44%
#2	Santiago Londoño Envigado FC	18	8	€900K	€1.6M	+44%
#3	Kamil Jakóbczyk Lech Poznan	18	8	€250K	€447K	+44%
#4	Francisco Silva SL Benfica B	18	8	€300K	€536K	+44%
#5	Charalampos Kostoulas Brighton & Hove Albion	19	7	€25.0M	€41.5M	+40%
#6	Ander Izarra Estudiantes de Mérida	19	7	€300K	€499K	+40%
#7	Samy Jr. Merheg SC Braga	19	7	€1.0M	€1.7M	+40%
#8	Kayke Fortaleza Esporte Clube	19	7	€1.0M	€1.7M	+40%
#9	Julián Vignolo FC Toulouse	19	7	€1.0M	€1.7M	+40%
#10	Snayder Porozo SD Aucas	19	7	€250K	€415K	+40%
#11	Luis Chávez Blooming Santa Cruz	19	7	€250K	€415K	+40%
#12	Allen Obando Barcelona SC Guayaquil	19	7	€1.5M	€2.5M	+40%
#13	Mustafa Hekimoğlu Besiktas JK	19	7	€5.0M	€8.3M	+40%
#14	Ryan Francisco São Paulo Futebol Clube	19	7	€6.0M	€10.0M	+40%
#15	Luca Meirelles Shakhtar Donetsk	19	7	€10.0M	€16.6M	+40%
#16	Anton Matkovic NK Osijek	20	6	€3.0M	€4.6M	+35%
#17	Tahiel Jiménez Santos Laguna	20	6	€750K	€1.2M	+35%
#18	Elian Caicedo Mushuc Runa SC	20	6	€700K	€1.1M	+35%
#19	Faustino Barone Olimpia Asunción	20	6	€1.0M	€1.5M	+35%
#20	Matviy Ponomarenko Dynamo Kyiv	20	6	€1.0M	€1.5M	+35%

Risk-Adjusted Upside (RAU)

Upside potential weighted against forecast uncertainty. Higher RAU = better risk-reward profile.

Understanding Risk-Adjusted Upside (RAU)

Lech Poznan's Kamil Jakóbczyk has the highest Risk-Adjusted Upside at 68.9. That means Kamil Jakóbczyk has 23% upside potential with only 0% forecast uncertainty—representing excellent risk-reward for value appreciation.

In second is SL Benfica B's Francisco Silva with a 68.9 RAU (23% upside, 0% uncertainty). Third is Santiago Londoño of Envigado FC with a 68.9 RAU (23% upside, 0% uncertainty).

How RAU is calculated: RAU divides upside potential by forecast uncertainty (RAU = Upside % ÷ Uncertainty %). A RAU of 68.9 means the upside is 68.9× greater than the uncertainty—making it a high-confidence growth opportunity. Target RAU ≥2.0 for balanced risk-reward.

Risk-Adjusted Upside by Player

Kamil JakóbczykLech Poznan

↑23% / ±0%68.9

Range: €266K - €351K

Francisco SilvaSL Benfica B

↑23% / ±0%68.9

Range: €319K - €422K

Santiago LondoñoEnvigado FC

↑23% / ±0%68.9

Range: €958K - €1.3M

Francesco CamardaUS Lecce

↑23% / ±0%68.9

Range: €16.0M - €21.1M

Ander IzarraEstudiantes de Mérida

↑19% / ±0%58.0

Range: €308K - €407K

Samy Jr. MerhegSC Braga

↑19% / ±0%58.0

Range: €1.0M - €1.4M

KaykeFortaleza Esporte Clube

↑19% / ±0%58.0

Range: €1.0M - €1.4M

Julián VignoloFC Toulouse

↑19% / ±0%58.0

Range: €1.0M - €1.4M

Snayder PorozoSD Aucas

↑19% / ±0%58.0

Range: €257K - €339K

Luis ChávezBlooming Santa Cruz

↑19% / ±0%58.0

Range: €257K - €339K

Mustafa HekimoğluBesiktas JK

↑19% / ±0%58.0

Range: €5.1M - €6.8M

Luca MeirellesShakhtar Donetsk

↑19% / ±0%58.0

Range: €10.3M - €13.6M

Allen ObandoBarcelona SC Guayaquil

↑19% / ±0%58.0

Range: €1.5M - €2.0M

Ryan FranciscoSão Paulo Futebol Clube

↑19% / ±0%58.0

Range: €6.2M - €8.1M

Charalampos KostoulasBrighton & Hove Albion

↑19% / ±0%58.0

Range: €25.7M - €33.9M

Rank	Player	Expected	Range	Upside %	RAU
#1	Kamil Jakóbczyk Lech Poznan	€309K	€266K-351K	+23%	68.9
#2	Francisco Silva SL Benfica B	€370K	€319K-422K	+23%	68.9
#3	Santiago Londoño Envigado FC	€1.1M	€958K-1.3M	+23%	68.9
#4	Francesco Camarda US Lecce	€18.5M	€16.0M-21.1M	+23%	68.9
#5	Ander Izarra Estudiantes de Mérida	€357K	€308K-407K	+19%	58.0
#6	Samy Jr. Merheg SC Braga	€1.2M	€1.0M-1.4M	+19%	58.0
#7	Kayke Fortaleza Esporte Clube	€1.2M	€1.0M-1.4M	+19%	58.0
#8	Julián Vignolo FC Toulouse	€1.2M	€1.0M-1.4M	+19%	58.0
#9	Snayder Porozo SD Aucas	€298K	€257K-339K	+19%	58.0
#10	Luis Chávez Blooming Santa Cruz	€298K	€257K-339K	+19%	58.0
#11	Mustafa Hekimoğlu Besiktas JK	€6.0M	€5.1M-6.8M	+19%	58.0
#12	Luca Meirelles Shakhtar Donetsk	€11.9M	€10.3M-13.6M	+19%	58.0
#13	Allen Obando Barcelona SC Guayaquil	€1.8M	€1.5M-2.0M	+19%	58.0
#14	Ryan Francisco São Paulo Futebol Clube	€7.1M	€6.2M-8.1M	+19%	58.0
#15	Charalampos Kostoulas Brighton & Hove Albion	€29.8M	€25.7M-33.9M	+19%	58.0
#16	Faustino Barone Olimpia Asunción	€1.1M	€988K-1.3M	+15%	46.3
#17	Matviy Ponomarenko Dynamo Kyiv	€1.1M	€988K-1.3M	+15%	46.3
#18	Deivid Washington Chelsea FC U21	€4.6M	€4.0M-5.2M	+15%	46.3
#19	Joel Orlando Club Almagro	€258K	€222K-294K	+15%	46.3
#20	Yojan Garcés CD América de Cali	€516K	€445K-587K	+15%	46.3

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: striker position shows strong depth (avg Z-score: 0.00). RPI: 0.00.

Position Depth Analysis

998

Total Players

0.00

Avg Z-Score

0.00

RPI Score

Weak DepthStrong Depth

-3.00+3.0

Highest Z-Scores

Erling Haaland+26.70

Harry Kane+8.50

Serhou Guirassy+5.13

Rômulo+3.78

Fábio Silva+3.51

Lowest Z-Scores

Jacopo Murano-0.23

Kai Pröger-0.23

Roberto Inglese-0.23

Diego Maurício-0.23

Yorleys Mena-0.23

Age-Share Concentration (ASC)

Identifies players capturing disproportionate value relative to age group representation. Positive ASC = value concentration.

Understanding Age-Share Concentration (ASC)

Athletic Bilbao's Maroan Sannadi in the 24-26 age bracket has the highest Age-Share Concentration at +11.9%. That means Erling Haaland captures 27.9% of total market value while representing only 16.0% of players in their age group—showing dominant elite status.

In second is Orlando City SC's Duncan McGuire with a +11.9% ASC (27.9% value share vs 16.0% player share in 24-26 bracket). Third is Bruno Larregui of CA Juventud with a +11.9% ASC (27.9% value vs 16.0% players in 24-26 bracket).

How ASC is calculated: ASC = (% of total value) - (% of total players) in age bracket. A +11.9% ASC means the player captures 11.9% more market value than their numerical representation—indicating marquee status. ASC > +15% = elite dominance, ASC < -15% = potential value targets.