AI DNA Similarity
Best Alternatives to Frans Krätzig
Players most similar to Frans Krätzig (Defender, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Frans Krätzig
- 1.Maximilian Mittelstädt85% DNA match·VfB Stuttgart€18.0M
- 2.Leandro Morgalla84% DNA match·VfL Bochum 1848€3.5M
- 3.Rasmus Kristensen84% DNA match·Eintracht Frankfurt€14.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
DribblesTop 1%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CB
A Ball-Playing CB. Statistically, he stands out as an elite creator (1.9 key passes/90), a prolific assist provider (0.34 assists/90), central to possession (76 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three most similar players to Frans Krätzig by playing style are:
- Maximilian Mittelstädt(85% match) — A Active Full-Back. Statistically, he stands out as an elite creator (2.4 key passes/90), a regular goalscorer (0.34 goals/90), a prolific assist provider (0.34 assists/90), an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), creates high-quality scoring opportunities (1.03 big chances/90), penetrates with forward passing (9.4 final-third passes/90), central to possession (84 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 526 minutes of playing time this season.
- Leandro Morgalla(84% match) — A Solid Defender. Statistically, he stands out as wins the physical battle (56% duel success) and uses long balls frequently (5.2/90).
- Rasmus Kristensen(84% 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.
Transfer Intelligence
Maximilian Mittelstädt delivers 85% of the same playing style, at a 414% premium over Frans Krätzig, with 2.76 tackles won per 90 at age 29.
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
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stablevs Krätzig: €15M more expensive · 6y older
85% match
€18.0M
#2
L
Leandro Morgalla
VfL Bochum 1848 · Bundesliga
Germany21yContract 2026
Tkl/902.24
KP/900.86
Solid Defender
Last 5: ↓ Dipvs Krätzig: 2y younger
84% match
€3.5M
#3
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Krätzig: €11M more expensive · 5y older
84% match
€14.0M
#4
D
Daniel Elfadli
Hamburger SV · Bundesliga
Libya29yContract 2028
Tkl/902.46
KP/900.27
Ball-Playing CBAerial
84% match
€3.5M
#5
J
Jordan Torunarigha
Hamburger SV · Bundesliga
Nigeria28yContract 2028
Tkl/901.86
KP/900.23
Ball-Playing CBAerial
84% match
€4.0M
#6
C
Cédric Zesiger
FC Augsburg · Bundesliga
Switzerland27yContract 2029
Tkl/901.10
KP/900.32
Ball-Playing CBAerial
83% match
€5.0M
#7
A
Alexander Prass
TSG Hoffenheim · Bundesliga
Austria24yContract 2028
Tkl/902.22
KP/901.23
Physical Stopper
Last 5: ↓ Dip83% match
€7.0M
#8
M
Maik Nawrocki
Hannover 96 · Bundesliga
Poland25yContract 2026
Tkl/901.41
KP/901.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dip84% match
€5.0M
#9
S
Sascha Britschgi
Parma · Serie A
Switzerland19yContract 2030
Tkl/901.38
KP/900.86
Active Full-Back
83% match
€7.0M
#10
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
83% match
€6.0M
#11
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
83% match
€7.0M
#12
W
Waldemar Anton
Borussia Dortmund · Bundesliga
Germany29yContract 2028
Tkl/902.33
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable83% match
€18.0M
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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 Frans Krätzig.
Ask AI about Frans Krätzig →Frequently Asked Questions
Who are the best alternatives to Frans Krätzig?▼
The top alternatives to Frans Krätzig based on AI DNA playing style analysis include: Maximilian Mittelstädt, Leandro Morgalla, Rasmus Kristensen, Daniel Elfadli, 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 Frans Krätzig in 2026?▼
Players with a similar profile to Frans Krätzig in 2026 include Maximilian Mittelstädt (€18.0M), Leandro Morgalla (€3.5M), Rasmus Kristensen (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Frans Krätzig play and who plays similarly?▼
Frans Krätzig plays as a Defender. Players with a comparable positional profile include Maximilian Mittelstädt (Germany, €18.0M); Leandro Morgalla (Germany, €3.5M); Rasmus Kristensen (Denmark, €14.0M); Daniel Elfadli (Libya, €3.5M).
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.