RisingTransfers
AI DNA Similarity

Best Alternatives to Salman Al-Faraj

Players most similar to Salman Al-Faraj (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Salman Al-Faraj

  1. 1.Luka Modrić81% DNA match·AC Milan€4.0M
  2. 2.Jordan Holsgrove80% DNA match·Estoril
  3. 3.André Almeida81% DNA match·Valencia€9.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Dribbled PastTop 9%
???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeCreativeSmall Sample

A Metronome. Statistically, he stands out as an elite creator (1.9 key passes/90), meticulous in distribution (92% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (66 passes/90), central to possession (80 touches/90) and top 20% creator in the league. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Salman Al-Faraj by playing style are:

  • Luka Modrić(81% match)A Metronome. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.15 assists/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (61 passes/90), penetrates with forward passing (9.3 final-third passes/90), central to possession (77 touches/90), switches play with precision (6.8 long balls/90, 78% accuracy) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 609 minutes of playing time this season.
  • Jordan Holsgrove(80% match)A Metronome. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.23 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (75 passes/90), penetrates with forward passing (12.6 final-third passes/90), central to possession (92 touches/90), uses long balls frequently (7.9/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • André Almeida(81% match)A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), meticulous in distribution (91% pass accuracy), heavily involved in play (69 touches/90), draws fouls effectively (2.0/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.9 dispossessed/90).

Transfer Intelligence

Luka Modrić delivers 81% of the same playing style, at a 60% premium over Salman Al-Faraj, with 1.48 key passes per 90 at age 40.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

S
Comparison Base
Salman Al-Faraj
MidfielderSaudi Arabia€2.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
vs Al-Faraj: 4y older
81% match
€4.0M
#2
J
Jordan Holsgrove
Estoril · Liga Portugal
Scotland26yContract 2028
KP/901.77
G/900.03
MetronomeCreative
Last 5: ↓ Dip
vs Al-Faraj: 10y younger
80% match
N/A
#3
A
André Almeida
Valencia · La Liga
Portugal25yContract 2028
KP/901.33
G/900.00
CreatorSmall Sample
vs Al-Faraj: €7M more expensive · 11y younger
81% match
€9.0M
#4
S
Sergi Darder
Mallorca · La Liga
Spain32yContract 2028
KP/902.22
G/900.00
CreatorCreative
Last 5: ↑ Hot
80% match
€3.5M
#5
I
Isco
Real Betis · La Liga
Spain34yContract 2027
KP/903.54
G/900.52
CreatorCreative
Last 5: ↓ Dip
80% match
€4.0M
#6
S
Simon Bækgård
Aarhus Fremad · Superliga
Denmark26y
KP/900.79
G/900.00
Metronome
Last 5: ↑ Hot
80% match
N/A
#7
E
Enzo Leopold
Hannover 96 · Bundesliga
Germany25yContract 2026
KP/902.00
G/900.00
MetronomeCreative
Last 5: ↓ Dip
79% match
N/A
#8
N
N'Golo Kanté
Fenerbahçe · Super Lig
France35yContract 2026
KP/901.09
G/900.12
Metronome
Last 5: → Stable
79% match
€4.5M
#9
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
79% match
€40.0M
#10
M
Magnus Saaby
Kolding IF · Superliga
Denmark23y
KP/900.47
G/900.09
Metronome
Last 5: ↑ Hot
79% match
N/A
#11
N
Nabil Bentaleb
LOSC Lille · Ligue 1
Algeria31yContract 2026
KP/901.15
G/900.00
Metronome
Last 5: ↓ Dip
80% match
€5.0M
#12
D
Danilo Cataldi
Lazio · Serie A
Italy31yContract 2027
KP/901.06
G/900.14
Ball-Winner
79% match
€3.5M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Salman Al-Faraj.

Ask AI about Salman Al-Faraj

Frequently Asked Questions

Who are the best alternatives to Salman Al-Faraj?
The top alternatives to Salman Al-Faraj based on AI DNA playing style analysis include: Luka Modrić, Jordan Holsgrove, André Almeida, Sergi Darder, Isco. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Salman Al-Faraj in 2026?
Players with a similar profile to Salman Al-Faraj in 2026 include Luka Modrić (€4.0M), Jordan Holsgrove (N/A), André Almeida (€9.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Salman Al-Faraj play and who plays similarly?
Salman Al-Faraj plays as a Midfielder. Players with a comparable positional profile include Luka Modrić (Croatia, €4.0M); Jordan Holsgrove (Scotland, N/A); André Almeida (Portugal, €9.0M); Sergi Darder (Spain, €3.5M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.