RisingTransfers
AI DNA Similarity

Best Alternatives to Matt O'Riley

Players most similar to Matt O'Riley (Midfielder, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matt O'Riley

  1. 1.Kang-in Lee84% DNA match·Paris Saint Germain€25.0M
  2. 2.Nabil Bentaleb84% DNA match·LOSC Lille€5.0M
  3. 3.Diego Moreira83% DNA match·Strasbourg€18.0M

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

RT

Intelligence Verdict

Big ChancesTop 5%
???Bottom 0%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 762 minutes of playing time this season. The three most similar players to Matt O'Riley by playing style are:

  • Kang-in Lee(84% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (3.7 key passes/90), a regular goalscorer (0.24 goals/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (67 passes/90), creates high-quality scoring opportunities (0.83 big chances/90), delivers dangerous crosses (2.9 accurate crosses/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (89 touches/90), switches play with precision (6.7 long balls/90, 73% accuracy) and top 10% creator in the league. Note: this profile is based on 757 minutes of playing time this season.
  • Nabil Bentaleb(84% match)A Metronome. Statistically, he stands out as naturally left-footed, a reliable supplier (0.17 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (65 passes/90), penetrates with forward passing (11.9 final-third passes/90), central to possession (79 touches/90), switches play with precision (6.3 long balls/90, 62% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Diego Moreira(83% match)A Box-to-Box. Statistically, he stands out as naturally left-footed, an elite creator (1.7 key passes/90), a reliable supplier (0.21 assists/90), active in the tackle (2.1 tackles/90), creates high-quality scoring opportunities (0.53 big chances/90), heavily involved in play (65 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league.

Transfer Intelligence

Kang-in Lee delivers 84% of the same playing style, at a 25% premium over Matt O'Riley, with 3.69 key passes per 90 at age 25.

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

M
Comparison Base
Matt O'Riley
MidfielderEngland€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kang-in Lee
Paris Saint Germain · Ligue 1
South Korea25yContract 2028
KP/903.69
G/900.24
CreatorCreative
Last 5: → Stable
84% match
€25.0M
#2
N
Nabil Bentaleb
LOSC Lille · Ligue 1
Algeria31yContract 2026
KP/901.15
G/900.00
Metronome
Last 5: ↓ Dip
vs O'Riley: €15M cheaper · 6y older
84% match
€5.0M
#3
D
Diego Moreira
Strasbourg · Ligue 1
Portugal21yContract 2029
KP/901.58
G/900.00
Box-to-BoxCreative
Last 5: → Stable
vs O'Riley: 4y younger
83% match
€18.0M
#4
V
Vitinha
Paris Saint Germain · Ligue 1
Portugal26yContract 2029
KP/901.56
G/900.38
MetronomeCreative
Last 5: → Stable
83% match
€110.0M
#5
Q
Quinten Timber
Olympique Marseille · Ligue 1
Netherlands24y
KP/901.98
G/900.14
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€7.4M
#6
H
Hákon Arnar Haraldsson
LOSC Lille · Ligue 1
Iceland23yContract 2028
KP/901.44
G/900.12
CreatorCreative
Last 5: → Stable
83% match
€22.0M
#7
T
Tyler Morton
Olympique Lyonnais · Ligue 1
England23yContract 2030
KP/901.45
G/900.00
Metronome
Last 5: ↓ Dip
83% match
€18.0M
#8
J
Jeff Reine-Adélaïde
Heracles Almelo · Eredivisie
France28y
KP/902.42
G/900.00
CreatorCreative
83% match
€25.0M
#9
A
André Gomes
LOSC Lille · Ligue 1
Portugal32yContract 2026
KP/900.98
G/900.00
Metronome
Last 5: → Stable
81% match
€4.5M
#10
S
Senny Mayulu
Paris Saint Germain · Ligue 1
France19yContract 2027
KP/902.26
G/900.19
CreatorCreative
Last 5: ↑ Hot
82% match
€40.0M
#11
A
Abdoul Ouattara
Strasbourg · Ligue 1
France20yContract 2029
KP/900.79
G/900.32
Last 5: ↓ Dip
82% match
€9.0M
#12
J
Junior Dina Ebimbe
Brest · Ligue 1
France25yContract 2026
KP/900.28
G/900.84
Balanced MidfielderSmall Sample
Last 5: ↑ Hot
82% match
€6.0M

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 Matt O'Riley.

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Frequently Asked Questions

Who are the best alternatives to Matt O'Riley?
The top alternatives to Matt O'Riley based on AI DNA playing style analysis include: Kang-in Lee, Nabil Bentaleb, Diego Moreira, Vitinha, Quinten Timber. 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 Matt O'Riley in 2026?
Players with a similar profile to Matt O'Riley in 2026 include Kang-in Lee (€25.0M), Nabil Bentaleb (€5.0M), Diego Moreira (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matt O'Riley play and who plays similarly?
Matt O'Riley plays as a Midfielder. Players with a comparable positional profile include Kang-in Lee (South Korea, €25.0M); Nabil Bentaleb (Algeria, €5.0M); Diego Moreira (Portugal, €18.0M); Vitinha (Portugal, €110.0M).
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.