RisingTransfers
AI DNA Similarity

Best Alternatives to Scott McKenna

Players most similar to Scott McKenna (Defender, €3.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Scott McKenna

  1. 1.Nnamdi Collins83% DNA match·Eintracht Frankfurt€15.0M
  2. 2.Luka Vuskovic82% DNA match·Hamburger SV€40.0M
  3. 3.Maximilian Wöber82% DNA match·Werder Bremen€3.0M

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

RT

Intelligence Verdict

Aerials WonTop 0%
???Bottom 9%

McKenna is a progressive lighthouse in the 1....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

McKenna is a progressive lighthouse in the 1. HNL, a ball-playing colossus who pairs elite distribution with the physical dominance of a traditional stopper. While many defenders at this level are content to recycle possession, McKenna demands the ball, ranking in the top 20% for volume with a surgical 91.1% accuracy that places him in the league’s elite tier. The three most similar players to Scott McKenna by playing style are:

  • Nnamdi Collins(83% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (8.9 final-third passes/90), wins the ball cleanly (2.2 successful tackles/90), central to possession (86 touches/90), switches play with precision (5.4 long balls/90, 67% accuracy), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Luka Vuskovic(82% match)A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.29 goals/90), commanding in the air (8.9 clearances/90), wins the physical battle (67% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (90 touches/90), dominant in the air (6.1 aerials won/90, 75%), uses long balls frequently (9.3/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 630 minutes of playing time this season.
  • Maximilian Wöber(82% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.9 tackles/90), commanding in the air (4.7 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (60% duel success), heavily involved in possession (61 passes/90) and top 10% tackler in the league.

Transfer Intelligence

Nnamdi Collins delivers 83% of the same playing style, at a 359% premium over Scott McKenna, with 1.42 tackles won per 90 at age 22.

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

S
Comparison Base
Scott McKenna
DefenderScotland€3.3M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nnamdi Collins
Eintracht Frankfurt · Bundesliga
Germany22yContract 2030
Tkl/901.42
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
vs McKenna: €12M more expensive · 7y younger
83% match
€15.0M
#2
L
Luka Vuskovic
Hamburger SV · Bundesliga
Croatia19yContract 2026
Tkl/900.86
KP/900.74
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs McKenna: €37M more expensive · 10y younger
82% match
€40.0M
#3
M
Maximilian Wöber
Werder Bremen · Bundesliga
Austria28yContract 2026
Tkl/903.04
KP/900.37
Ball-Playing CBBall-Playing
82% match
€3.0M
#4
H
Hasan Kuruçay
Schalke 04 · Bundesliga
Denmark28yContract 2027
Tkl/901.88
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
82% match
N/A
#5
J
Jordan Torunarigha
Hamburger SV · Bundesliga
Nigeria28yContract 2028
Tkl/901.86
KP/900.23
Ball-Playing CBAerial
82% match
€4.0M
#6
W
Warmed Omari
Hamburger SV · Bundesliga
France26yContract 2030
Tkl/902.50
KP/900.50
Ball-Playing CBAerial
82% match
€3.0M
#7
E
Emmanuel Biumla
Angers SCO · Ligue 1
France21yContract 2028
Tkl/901.75
KP/900.00
Physical StopperAerial
81% match
N/A
#8
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
81% match
€3.5M
#9
N
Niklas Stark
Werder Bremen · Bundesliga
Germany31yContract 2026
Tkl/902.65
KP/900.00
Ball-Playing CBBall-Playing
82% match
€3.5M
#10
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
81% match
N/A
#11
L
Luan Patrick
Estrela Amadora · Liga Portugal
Brazil24yContract 2028
Tkl/901.42
KP/900.14
Ball-Playing CBAerial
Last 5: ↑ Hot
81% match
N/A
#12
L
Leopold Wurm
Jahn Regensburg · Bundesliga
Germany20y
Tkl/902.38
KP/900.30
Physical StopperAerial
81% match
N/A

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 Scott McKenna.

Ask AI about Scott McKenna

Frequently Asked Questions

Who are the best alternatives to Scott McKenna?
The top alternatives to Scott McKenna based on AI DNA playing style analysis include: Nnamdi Collins, Luka Vuskovic, Maximilian Wöber, Hasan Kuruçay, Jordan Torunarigha. 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 Scott McKenna in 2026?
Players with a similar profile to Scott McKenna in 2026 include Nnamdi Collins (€15.0M), Luka Vuskovic (€40.0M), Maximilian Wöber (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Scott McKenna play and who plays similarly?
Scott McKenna plays as a Defender. Players with a comparable positional profile include Nnamdi Collins (Germany, €15.0M); Luka Vuskovic (Croatia, €40.0M); Maximilian Wöber (Austria, €3.0M); Hasan Kuruçay (Denmark, N/A).
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.