AI DNA Similarity
Best Alternatives to Andreas Geipl
Players most similar to Andreas Geipl (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.9 tackles/90) and creates high-quality scoring opportunities (0.67 big chances/90). The three most similar players to Andreas Geipl by playing style are:
- Sacha Bansé(99% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.6 tackles/90), creates high-quality scoring opportunities (0.99 big chances/90) and heavily involved in play (55 touches/90).
- Mateusz Legowski(98% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90).
- Joe Hodge(97% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.4 key passes/90), active in the tackle (2.1 tackles/90), heavily involved in play (50 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
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
S
Sacha Bansé
SpVgg Greuther Fürth · Bundesliga
Burkina Faso25y
KP/901.07
G/900.08
Ball-WinnerDefensive
99% match
N/A
#2
M
Mateusz Legowski
Eyüpspor · Super Lig
Poland23y
KP/901.13
G/900.00
Ball-Winner
Last 5: ↓ Dip98% match
€3.0M
#3
J
Joe Hodge
Tondela · Liga Portugal
Republic of Ireland23yContract 2029
KP/901.49
G/900.00
Ball-Winner
Last 5: ↓ Dip97% match
N/A
#4
L
Lars Mol
TOP Oss · Eredivisie
Netherlands21y
KP/901.41
G/900.00
Ball-WinnerDefensive
Last 5: → Stable97% match
N/A
#5
J
Jay Matete
Sunderland · Premier League
England25y
KP/901.09
G/900.15
Ball-WinnerDefensive
97% match
N/A
#6
Z
Zico Buurmeester
PEC Zwolle · Eredivisie
Netherlands23y
KP/901.14
G/900.00
Ball-WinnerDefensive
Last 5: → Stable97% match
N/A
#7
D
Djaoui Cissé
Rennes · Ligue 1
France22yContract 2029
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot97% match
€15.0M
#8
D
Danilo Cataldi
Lazio · Serie A
Italy31yContract 2027
KP/901.08
G/900.10
Ball-Winner
Last 5: → Stable96% match
€3.5M
#9
S
Samuele Ricci
AC Milan · Serie A
Italy24yContract 2029
KP/901.23
G/900.09
Ball-Winner
Last 5: → Stable96% match
€25.0M
#10
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.18
G/900.34
Ball-WinnerDefensive
Last 5: → Stable96% match
€8.0M
#11
K
Kristjan Asllani
Beşiktaş · Serie A
Albania24yContract 2026
KP/901.19
G/900.00
Ball-Winner
Last 5: → Stable96% match
€13.0M
#12
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands25yContract 2028
KP/901.02
G/900.05
Ball-WinnerDefensive
Last 5: ↑ Hot96% match
€8.0M
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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 Andreas Geipl.
Ask AI about Andreas Geipl →Frequently Asked Questions
Who are the best alternatives to Andreas Geipl?▼
The top alternatives to Andreas Geipl based on AI DNA playing style analysis include: Sacha Bansé, Mateusz Legowski, Joe Hodge, Lars Mol, Jay Matete. 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 Andreas Geipl in 2026?▼
Players with a similar profile to Andreas Geipl in 2026 include Sacha Bansé (N/A), Mateusz Legowski (€3.0M), Joe Hodge (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andreas Geipl play and who plays similarly?▼
Andreas Geipl plays as a Midfielder. Players with a comparable positional profile include Sacha Bansé (Burkina Faso, N/A); Mateusz Legowski (Poland, €3.0M); Joe Hodge (Republic of Ireland, N/A); Lars Mol (Netherlands, N/A).
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.