AI DNA Similarity
Best Alternatives to Jan Thielmann
Players most similar to Jan Thielmann (Attacker, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jan Thielmann
- 1.Phillip Tietz87% DNA match·FSV Mainz 05€3.5M
- 2.Nathan Tella86% DNA match·Bayer 04 Leverkusen€15.0M
- 3.Martin Terrier86% DNA match·Bayer 04 Leverkusen€12.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 0%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
A Forward. Statistically, he stands out as reads the game exceptionally (1.8 interceptions/90). Note: this profile is based on 507 minutes of playing time this season. The three most similar players to Jan Thielmann by playing style are:
- Phillip Tietz(87% match) — A Target Man. Statistically, he stands out as a constant goal threat (2.5 shots/90), a regular goalscorer (0.30 goals/90), a reliable supplier (0.15 assists/90) and strong in aerial duels (4.6 aerials won/90). However, he loses possession under pressure (1.7 dispossessed/90).
- Nathan Tella(86% match) — A Complete Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a prolific assist provider (0.41 assists/90), meticulous in distribution (85% pass accuracy) and creates high-quality scoring opportunities (0.62 big chances/90). Note: this profile is based on 878 minutes of playing time this season.
- Martin Terrier(86% match) — A Inside Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a proven goalscorer (0.54 goals/90), meticulous in distribution (85% pass accuracy) and wins the physical battle (61% duel success). Note: this profile is based on 662 minutes of playing time this season.
Transfer Intelligence
Phillip Tietz delivers 87% of the same playing style, at 30% lower cost (€3.5M vs €5.0M), with 0.29 goals per 90 at age 28.
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
P
Phillip Tietz
FSV Mainz 05 · Bundesliga
Germany28yContract 2028
G/900.29
A/900.15
Target Man
Last 5: → Stablevs Thielmann: 5y older
87% match
€3.5M
#2
N
Nathan Tella
Bayer 04 Leverkusen · Bundesliga
Nigeria26yContract 2028
G/900.45
A/900.89
Complete ForwardSmall Sample
vs Thielmann: €10M more expensive · 3y older
86% match
€15.0M
#3
M
Martin Terrier
Bayer 04 Leverkusen · Bundesliga
France29yContract 2029
G/900.48
A/900.24
Inside ForwardProlific
Last 5: ↓ Dipvs Thielmann: €7M more expensive · 6y older
86% match
€12.0M
#4
R
Ritsu Doan
Eintracht Frankfurt · Bundesliga
Japan27yContract 2030
G/900.10
A/900.30
Small Sample
Last 5: ↓ Dip85% match
€20.0M
#5
A
Adam Daghim
VfL Wolfsburg · Bundesliga
Denmark20yContract 2026
G/900.15
A/900.15
85% match
€7.5M
#6
N
Niklas Beste
SC Freiburg · Bundesliga
Germany27yContract 2030
G/900.09
A/900.26
85% match
€7.0M
#7
T
Timo Werner
SJ Earthquakes · Bundesliga
Germany30yContract 2026
G/900.79
A/900.59
Small Sample
Last 5: → Stable85% match
€20.0M
#8
I
Ismaël Gharbi
FC Augsburg · Bundesliga
Spain22yContract 2026
G/900.34
A/900.25
Inside Forward
84% match
€7.0M
#9
C
Christian Kofane
Bayer 04 Leverkusen · Bundesliga
Cameroon19yContract 2029
G/900.15
A/900.15
Target ManProlific
Last 5: ↓ Dip85% match
€40.0M
#10
J
Justin Njinmah
Werder Bremen · Bundesliga
Germany25yContract 2027
G/900.33
A/900.00
Complete ForwardSmall Sample
85% match
€7.0M
#11
T
Tim Kleindienst
Borussia Mönchengladbach · Bundesliga
Germany30yContract 2028
G/900.52
A/900.23
Target ManProlific
84% match
€12.0M
#12
Y
Yan Diomande
RB Leipzig · Bundesliga
Ivory Coast19yContract 2030
G/900.16
A/900.64
Inside ForwardProlific
Last 5: ↓ Dip85% match
€45.0M
⬡
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 Jan Thielmann.
Ask AI about Jan Thielmann →Frequently Asked Questions
Who are the best alternatives to Jan Thielmann?▼
The top alternatives to Jan Thielmann based on AI DNA playing style analysis include: Phillip Tietz, Nathan Tella, Martin Terrier, Ritsu Doan, Adam Daghim. 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 Jan Thielmann in 2026?▼
Players with a similar profile to Jan Thielmann in 2026 include Phillip Tietz (€3.5M), Nathan Tella (€15.0M), Martin Terrier (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jan Thielmann play and who plays similarly?▼
Jan Thielmann plays as a Attacker. Players with a comparable positional profile include Phillip Tietz (Germany, €3.5M); Nathan Tella (Nigeria, €15.0M); Martin Terrier (France, €12.0M); Ritsu Doan (Japan, €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.