AI DNA Similarity
Best Alternatives to Marcelo Weigandt
Players most similar to Marcelo Weigandt (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Marcelo Weigandt
- 1.Mitchell Weiser88% DNA match·Werder Bremen€3.5M
- 2.Rasmus Kristensen86% DNA match·Eintracht Frankfurt€14.0M
- 3.David Raum85% DNA match·RB Leipzig€22.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Key PassesTop 5%
???Bottom 0%
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Active Full-BackSmall Sample
A Active Full-Back. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.1 tackles/90), reads the game exceptionally (2.2 interceptions/90), wins the physical battle (56% duel success), central to possession (70 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 773 minutes of playing time this season. The three most similar players to Marcelo Weigandt by playing style are:
- Mitchell Weiser(88% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a prolific assist provider (0.28 assists/90), active in the tackle (2.0 tackles/90) and creates high-quality scoring opportunities (0.75 big chances/90).
- Rasmus Kristensen(86% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 761 minutes of playing time this season.
- David Raum(85% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.4 key passes/90), a prolific assist provider (0.34 assists/90), active in the tackle (2.0 tackles/90), heavily involved in possession (64 passes/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 527 minutes of playing time this season.
Transfer Intelligence
Mitchell Weiser delivers 88% of the same playing style, at a 75% premium over Marcelo Weigandt, with 1.97 tackles won per 90 at age 32.
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
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
vs Weigandt: 6y older
88% match
€3.5M
#2
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Weigandt: €12M more expensive · 2y older
86% match
€14.0M
#3
D
David Raum
RB Leipzig · Bundesliga
Germany28yContract 2027
Tkl/901.81
KP/902.57
Active Full-BackBall-Playing
Last 5: → Stablevs Weigandt: €20M more expensive · 2y older
85% match
€22.0M
#4
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stable86% match
€18.0M
#5
K
Kristoffer Lund
FC Köln · Bundesliga
Denmark23yContract 2026
Tkl/901.27
KP/900.91
Active Full-BackAerial
86% match
€4.0M
#6
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
85% match
€6.0M
#7
D
Dimitrios Giannoulis
FC Augsburg · Bundesliga
Greece30yContract 2028
Tkl/900.95
KP/901.33
Active Full-Back
85% match
€3.0M
#8
J
Josha Vagnoman
VfB Stuttgart · Bundesliga
Germany25yContract 2028
Tkl/901.34
KP/900.77
Active Full-Back
Last 5: ↓ Dip85% match
€10.0M
#9
M
Miro Muheim
Hamburger SV · Bundesliga
Switzerland28yContract 2027
Tkl/902.21
KP/901.89
Active Full-BackSmall Sample
85% match
€4.0M
#10
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#11
O
Owen Wijndal
Ajax · Eredivisie
Netherlands26yContract 2027
Tkl/901.53
KP/901.06
Active Full-Back
Last 5: → Stable85% match
€4.0M
#12
L
Leonidas Stergiou
Heidenheim · Bundesliga
Switzerland24yContract 2026
Tkl/903.83
KP/900.00
Active Full-BackSmall Sample
85% match
€3.5M
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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 Marcelo Weigandt.
Ask AI about Marcelo Weigandt →Frequently Asked Questions
Who are the best alternatives to Marcelo Weigandt?▼
The top alternatives to Marcelo Weigandt based on AI DNA playing style analysis include: Mitchell Weiser, Rasmus Kristensen, David Raum, Maximilian Mittelstädt, Kristoffer Lund. 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 Marcelo Weigandt in 2026?▼
Players with a similar profile to Marcelo Weigandt in 2026 include Mitchell Weiser (€3.5M), Rasmus Kristensen (€14.0M), David Raum (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marcelo Weigandt play and who plays similarly?▼
Marcelo Weigandt plays as a Defender. Players with a comparable positional profile include Mitchell Weiser (Germany, €3.5M); Rasmus Kristensen (Denmark, €14.0M); David Raum (Germany, €22.0M); Maximilian Mittelstädt (Germany, €18.0M).
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.