AI DNA Similarity
Best Alternatives to Martin Spelmann
Players most similar to Martin Spelmann (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Box-to-Box. Statistically, he stands out as active in the tackle (2.3 tackles/90), wins the physical battle (57% duel success), creates high-quality scoring opportunities (0.58 big chances/90) and heavily involved in play (56 touches/90). The three most similar players to Martin Spelmann by playing style are:
- Frederik Brandhof(99% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), wins the physical battle (57% duel success) and heavily involved in play (53 touches/90).
- Maximilian Eggestein(99% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), wins the physical battle (58% duel success), heavily involved in play (58 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
- Giannis Papanikolaou(99% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), wins the physical battle (58% duel success), heavily involved in play (51 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
F
Frederik Brandhof
Horsens · Superliga
Denmark29y
KP/901.06
G/900.06
Box-to-Box
99% match
N/A
#2
M
Maximilian Eggestein
SC Freiburg · Bundesliga
Germany29y
KP/900.65
G/900.07
Box-to-Box
Last 5: → Stable99% match
€10.0M
#3
G
Giannis Papanikolaou
Rizespor · Super Lig
Greece27yContract 2027
KP/900.64
G/900.05
Box-to-Box
Last 5: → Stable99% match
N/A
#4
E
Ethan Ampadu
Leeds United · Premier League
Wales25yContract 2027
KP/900.60
G/900.04
Box-to-Box
Last 5: ↑ Hot98% match
€20.0M
#5
L
Luismi Sánchez
Málaga · La Liga
Spain33yContract 2026
KP/900.30
G/900.00
Box-to-Box
98% match
N/A
#6
H
Haris Belkebla
Angers SCO · Ligue 1
Algeria32yContract 2026
KP/900.41
G/900.00
Box-to-Box
Last 5: ↓ Dip98% match
N/A
#7
R
Rodrigo Bentancur
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.57
G/900.06
Box-to-Box
98% match
€22.0M
#8
H
Hugo Magnetti
Brest · Ligue 1
France27yContract 2027
KP/900.52
G/900.04
Box-to-Box
Last 5: → Stable98% match
€6.0M
#9
O
Olivier Rommens
Milsami · Eredivisie
Belgium31y
KP/901.30
G/900.04
Box-to-Box
98% match
N/A
#10
J
Jeppe Grønning
Viborg FF · Superliga
Denmark34yContract 2026
KP/900.37
G/900.05
Box-to-BoxDefensive
Last 5: ↑ Hot98% match
N/A
#11
N
Niklas Dorsch
Heidenheim · Bundesliga
Germany28yContract 2028
KP/900.92
G/900.00
Box-to-Box
Last 5: → Stable98% match
€3.0M
#12
C
Connor Krempicki
Magdeburg · Bundesliga
Germany31y
KP/901.32
G/900.09
Box-to-Box
98% 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 Martin Spelmann.
Ask AI about Martin Spelmann →Frequently Asked Questions
Who are the best alternatives to Martin Spelmann?▼
The top alternatives to Martin Spelmann based on AI DNA playing style analysis include: Frederik Brandhof, Maximilian Eggestein, Giannis Papanikolaou, Ethan Ampadu, Luismi Sánchez. 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 Martin Spelmann in 2026?▼
Players with a similar profile to Martin Spelmann in 2026 include Frederik Brandhof (N/A), Maximilian Eggestein (€10.0M), Giannis Papanikolaou (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Martin Spelmann play and who plays similarly?▼
Martin Spelmann plays as a Midfielder. Players with a comparable positional profile include Frederik Brandhof (Denmark, N/A); Maximilian Eggestein (Germany, €10.0M); Giannis Papanikolaou (Greece, N/A); Ethan Ampadu (Wales, €20.0M).
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.