RisingTransfers
AI DNA Similarity

Best Alternatives to Joel Ordóñez

Players most similar to Joel Ordóñez (Defender, €3.9M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Joel Ordóñez

  1. 1.Carlos Domínguez84% DNA match·Celta de Vigo€3.0M
  2. 2.Danilho Doekhi82% DNA match·FC Union Berlin€13.0M
  3. 3.Armando Obispo83% DNA match·PSV€3.0M

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

RT

Intelligence Verdict

Aerials WonTop 5%
???Bottom 24%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-Playing

A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (68 passes/90) and central to possession (79 touches/90). The three most similar players to Joel Ordóñez by playing style are:

  • Carlos Domínguez(84% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.2 tackles/90), commanding in the air (6.5 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (65 passes/90), central to possession (80 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 524 minutes of playing time this season.
  • Danilho Doekhi(82% match)A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.
  • Armando Obispo(83% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.22 goals/90), commanding in the air (6.2 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (79 touches/90), strong in aerial duels (4.3 aerials won/90) and switches play with precision (5.4 long balls/90, 62% accuracy). Note: this profile is based on 806 minutes of playing time this season.

Transfer Intelligence

Carlos Domínguez delivers 84% of the same playing style, at 23% lower cost (€3.0M vs €3.9M), with 2.23 tackles won per 90 at age 25.

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

J
Comparison Base
Joel Ordóñez
DefenderEcuador€3.9M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Carlos Domínguez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/902.23
KP/900.17
Ball-Playing CBBall-Playing
vs Ordóñez: 3y older
84% match
€3.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Ordóñez: €9M more expensive · 5y older
82% match
€13.0M
#3
A
Armando Obispo
PSV · Eredivisie
Netherlands27yContract 2027
Tkl/900.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Ordóñez: 5y older
83% match
€3.0M
#4
V
Víctor Chust
Elche · La Liga
Spain26yContract 2026
Tkl/902.73
KP/900.19
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€4.0M
#5
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
82% match
€4.0M
#6
A
Abel Bretones
Osasuna · La Liga
Spain25yContract 2029
Tkl/901.91
KP/901.36
Reading DefenderSmall Sample
Last 5: ↑ Hot
82% match
€4.5M
#7
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€12.0M
#8
Á
Álvaro Núñez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/901.28
KP/901.22
Active Full-Back
Last 5: → Stable
82% match
€6.0M
#9
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€35.0M
#10
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€10.0M
#11
M
Mohamed Abdelmonem 
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
82% match
€3.0M
#12
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
82% match
€3.0M

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 Joel Ordóñez.

Ask AI about Joel Ordóñez

Frequently Asked Questions

Who are the best alternatives to Joel Ordóñez?
The top alternatives to Joel Ordóñez based on AI DNA playing style analysis include: Carlos Domínguez, Danilho Doekhi, Armando Obispo, Víctor Chust, Antoine Mendy. 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 Joel Ordóñez in 2026?
Players with a similar profile to Joel Ordóñez in 2026 include Carlos Domínguez (€3.0M), Danilho Doekhi (€13.0M), Armando Obispo (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joel Ordóñez play and who plays similarly?
Joel Ordóñez plays as a Defender. Players with a comparable positional profile include Carlos Domínguez (Spain, €3.0M); Danilho Doekhi (Netherlands, €13.0M); Armando Obispo (Netherlands, €3.0M); Víctor Chust (Spain, €4.0M).
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.