RisingTransfers
AI DNA Similarity

Best Alternatives to Abu Francis

Players most similar to Abu Francis (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Abu Francis

  1. 1.Elisha Owusu87% DNA match·Auxerre€3.5M
  2. 2.Mamadou Sangaré86% DNA match·Lens€15.0M
  3. 3.Joris Chotard85% DNA match·Brest€6.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 18%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.2 tackles/90), wins the physical battle (67% duel success), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (53 touches/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 531 minutes of playing time this season. The three most similar players to Abu Francis by playing style are:

  • Elisha Owusu(87% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (57% duel success), wins the ball cleanly (2.0 successful tackles/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.
  • Mamadou Sangaré(86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.2 key passes/90), a reliable supplier (0.19 assists/90), an aggressive ball-winner (4.1 tackles/90), reads the game exceptionally (2.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (9.2 final-third passes/90), wins the ball cleanly (2.6 successful tackles/90), central to possession (81 touches/90), switches play with precision (8.0 long balls/90, 81% accuracy), a high-intensity presser (press score 4.8/90), constantly disrupting opposition build-up, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 482 minutes of playing time this season.
  • Joris Chotard(85% match)A Ball-Winner. Statistically, he stands out as reads the game exceptionally (1.8 interceptions/90), wins the physical battle (60% duel success), heavily involved in play (53 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 821 minutes of playing time this season.

Transfer Intelligence

Elisha Owusu delivers 87% of the same playing style, at a 75% premium over Abu Francis, with 0.20 key passes per 90 at age 28.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

A
Comparison Base
Abu Francis
MidfielderGhana€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Elisha Owusu
Auxerre · Ligue 1
Ghana28yContract 2027
KP/900.20
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Francis: 3y older
87% match
€3.5M
#2
M
Mamadou Sangaré
Lens · Ligue 1
Mali23yContract 2030
KP/902.24
G/900.00
CreatorCreative
Last 5: → Stable
vs Francis: €13M more expensive · 2y younger
86% match
€15.0M
#3
J
Joris Chotard
Brest · Ligue 1
France24yContract 2029
KP/900.44
G/900.00
Ball-WinnerSmall Sample
Last 5: ↑ Hot
85% match
€6.0M
#4
M
Maxi Oyedele
Strasbourg · Ligue 1
Poland21yContract 2030
KP/900.22
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€4.0M
#5
A
Amadou Haidara
Lens · Ligue 1
Mali28yContract 2029
KP/900.34
G/900.00
Metronome
84% match
€6.0M
#6
L
Lamine Camara
Monaco · Ligue 1
Senegal22yContract 2029
KP/901.40
G/900.00
MetronomeCreative
Last 5: → Stable
85% match
€35.0M
#7
J
Johann Lepenant
Nantes · Ligue 1
France23yContract 2029
KP/902.13
G/900.00
Ball-WinnerCreative
Last 5: ↑ Hot
85% match
€7.0M
#8
P
Pape Demba Diop
Toulouse · Ligue 1
Senegal22yContract 2026
KP/900.92
G/900.00
Box-to-BoxSmall Sample
85% match
€4.0M
#9
B
Benjamin André
LOSC Lille · Ligue 1
France35yContract 2026
KP/901.00
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€4.0M
#10
H
Hugo Magnetti
Brest · Ligue 1
France27yContract 2027
KP/900.48
G/900.10
Balanced Midfielder
Last 5: → Stable
84% match
€6.0M
#11
C
Cristian Cásseres Jr.
Toulouse · Ligue 1
Venezuela26yContract 2027
KP/901.98
G/900.10
Ball-WinnerCreative
Last 5: → Stable
84% match
€7.0M
#12
A
Alex Freeman
Villarreal · La Liga
United States21yContract 2025
Tkl/902.69
KP/900.00
Active Full-Back
Last 5: → Stable
84% match
€3.5M

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 Abu Francis.

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Frequently Asked Questions

Who are the best alternatives to Abu Francis?
The top alternatives to Abu Francis based on AI DNA playing style analysis include: Elisha Owusu, Mamadou Sangaré, Joris Chotard, Maxi Oyedele, Amadou Haidara. 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 Abu Francis in 2026?
Players with a similar profile to Abu Francis in 2026 include Elisha Owusu (€3.5M), Mamadou Sangaré (€15.0M), Joris Chotard (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Abu Francis play and who plays similarly?
Abu Francis plays as a Midfielder. Players with a comparable positional profile include Elisha Owusu (Ghana, €3.5M); Mamadou Sangaré (Mali, €15.0M); Joris Chotard (France, €6.0M); Maxi Oyedele (Poland, €4.0M).
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.