AI DNA Similarity
Best Alternatives to Giovanni
Players most similar to Giovanni (Midfielder, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Giovanni
- 1.Emmanuele De Chiara82% DNA match·Napoli
- 2.Nick Runderkamp81% DNA match·RKAV Volendam
- 3.Yann Rollim80% DNA match·Caxias
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Balanced Midfielder
Giovanni Manson Ribeiro is a Balanced Midfielder. Well-rounded midfielder contributing in multiple phases. Statistically, he stands out as active in the tackle (1.9 tackles/90). The three most similar players to Giovanni by playing style are:
- Emmanuele De Chiara(82% match) — Emmanuele De Chiara is a Midfielder. Solid midfield option. Statistically, he stands out as a prolific assist provider (0.30 assists/90). (Limited sample: 296 mins)
- Nick Runderkamp(81% match) — A Midfielder. Statistically, he stands out as a reliable supplier (0.22 assists/90).
- Yann Rollim(80% match) — Yann Del Pino Rolim is a Midfielder. Solid midfield option. Statistically, he stands out as a regular goalscorer (0.21 goals/90), a prolific assist provider (0.32 assists/90), top 10% creator in the league and top 10% tackler in the league.
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
E
Emmanuele De Chiara
Napoli · Serie A
Italy20y
KP/900.00
G/900.00
Small Sample
vs Giovanni: 4y younger
82% match
N/A
#2
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
vs Giovanni: 5y older
81% match
N/A
#3
Y
Yann Rollim
Caxias · Superliga
Brazil31y
KP/900.64
G/900.21
Small Sample
vs Giovanni: 7y older
80% match
N/A
#4
A
Alamara Djabi
FC Midtjylland · Superliga
Guinea-Bissau19y
KP/900.00
G/900.00
Small Sample
81% match
N/A
#5
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
81% match
N/A
#6
M
Mitchel Van Rosmalen
Blauw Geel '38 · Eredivisie
Netherlands24y
KP/900.72
G/900.00
Small Sample
81% match
N/A
#7
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
80% match
N/A
#8
M
Marcel Wenig
Ulm · Bundesliga
Germany22yContract 2027
KP/900.00
G/900.17
Small Sample
80% match
N/A
#9
H
Hjalte Toftegaard
Hillerød · Superliga
Denmark19y
KP/903.52
G/900.00
Small Sample
80% match
N/A
#10
H
Harrison Reed
Fulham · Premier League
England31yContract 2027
KP/902.04
G/900.00
Balanced Midfielder
Last 5: ↑ Hot79% match
€3.0M
#11
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dip80% match
N/A
#12
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
80% match
N/A
⬡
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 Giovanni.
Ask AI about Giovanni →Frequently Asked Questions
Who are the best alternatives to Giovanni?▼
The top alternatives to Giovanni based on AI DNA playing style analysis include: Emmanuele De Chiara, Nick Runderkamp, Yann Rollim, Alamara Djabi, Jeremiah Mensah. 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 Giovanni in 2026?▼
Players with a similar profile to Giovanni in 2026 include Emmanuele De Chiara (N/A), Nick Runderkamp (N/A), Yann Rollim (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Giovanni play and who plays similarly?▼
Giovanni plays as a Midfielder. Players with a comparable positional profile include Emmanuele De Chiara (Italy, N/A); Nick Runderkamp (Netherlands, N/A); Yann Rollim (Brazil, N/A); Alamara Djabi (Guinea-Bissau, 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.