AI DNA Similarity
Best Alternatives to Isaac Schmidt
Players most similar to Isaac Schmidt (Defender, €2.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Isaac Schmidt
- 1.Joël Schmied89% DNA match·FC Köln€3.5M
- 2.Eric Smith88% DNA match·St. Pauli€5.0M
- 3.Maximilian Mittelstädt87% DNA match·VfB Stuttgart€18.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???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 (1.5 key passes/90), active in the tackle (2.1 tackles/90), wins the physical battle (62% duel success), central to possession (76 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. Note: this profile is based on 472 minutes of playing time this season. The three most similar players to Isaac Schmidt by playing style are:
- Joël Schmied(89% match) — A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (89% pass accuracy). Note: this profile is based on 806 minutes of playing time this season.
- Eric Smith(88% match) — A Ball-Playing CB. Statistically, he stands out as a prolific assist provider (0.29 assists/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), penetrates with forward passing (9.3 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (7.6/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 630 minutes of playing time this season.
- Maximilian Mittelstädt(87% 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.
Transfer Intelligence
Joël Schmied delivers 89% of the same playing style, at a 59% premium over Isaac Schmidt, with 0.69 tackles won per 90 at age 27.
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
J
Joël Schmied
FC Köln · Bundesliga
Switzerland27yContract 2029
Tkl/900.69
KP/900.00
Ball-Playing CBSmall Sample
89% match
€3.5M
#2
E
Eric Smith
St. Pauli · Bundesliga
Sweden29yContract 2025
Tkl/901.03
KP/900.92
Ball-Playing CBBall-Playing
vs Schmidt: 3y older
88% match
€5.0M
#3
M
Maximilian Mittelstädt
VfB Stuttgart · Bundesliga
Germany29yContract 2028
Tkl/902.76
KP/901.91
Active Full-BackBall-Playing
Last 5: → Stablevs Schmidt: €16M more expensive · 3y older
87% match
€18.0M
#4
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
86% match
€13.0M
#5
N
Nico Schlotterbeck
Borussia Dortmund · Bundesliga
Germany26yContract 2027
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€55.0M
#6
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot85% match
€45.0M
#7
A
Alexander Prass
TSG Hoffenheim · Bundesliga
Austria24yContract 2028
Tkl/902.22
KP/901.23
Physical Stopper
Last 5: ↓ Dip85% match
€7.0M
#8
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
85% match
€14.0M
#9
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable86% match
€5.5M
#10
K
Koki Machida
TSG Hoffenheim · Bundesliga
Japan28y
Tkl/902.62
KP/901.66
Ball-Playing CBSmall Sample
86% match
€7.0M
#11
D
Dimitrios Giannoulis
FC Augsburg · Bundesliga
Greece30yContract 2028
Tkl/900.95
KP/901.33
Active Full-Back
86% match
€3.0M
#12
L
Luka Vuskovic
Hamburger SV · Bundesliga
Croatia19yContract 2026
Tkl/900.86
KP/900.74
Ball-Playing CBBall-Playing
Last 5: ↑ Hot85% match
€40.0M
⬡
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 Isaac Schmidt.
Ask AI about Isaac Schmidt →Frequently Asked Questions
Who are the best alternatives to Isaac Schmidt?▼
The top alternatives to Isaac Schmidt based on AI DNA playing style analysis include: Joël Schmied, Eric Smith, Maximilian Mittelstädt, Danilho Doekhi, Nico Schlotterbeck. 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 Isaac Schmidt in 2026?▼
Players with a similar profile to Isaac Schmidt in 2026 include Joël Schmied (€3.5M), Eric Smith (€5.0M), Maximilian Mittelstädt (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Isaac Schmidt play and who plays similarly?▼
Isaac Schmidt plays as a Defender. Players with a comparable positional profile include Joël Schmied (Switzerland, €3.5M); Eric Smith (Sweden, €5.0M); Maximilian Mittelstädt (Germany, €18.0M); Danilho Doekhi (Netherlands, €13.0M).
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.