RisingTransfers
AI DNA Similarity

Best Alternatives to Geoffrey Kondogbia

Players most similar to Geoffrey Kondogbia (Midfielder, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Geoffrey Kondogbia

  1. 1.Seko Fofana88% DNA match·Porto€8.0M
  2. 2.Matheus Uribe86% DNA match·Atlético Nacional€9.5M
  3. 3.Manu Molina86% DNA match·Eldense

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 8%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (79 passes/90) and central to possession (92 touches/90). The three most similar players to Geoffrey Kondogbia by playing style are:

  • Seko Fofana(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), meticulous in distribution (91% pass accuracy), central to possession (72 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season.
  • Matheus Uribe(86% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success) and heavily involved in possession (62 passes/90).
  • Manu Molina(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).

Transfer Intelligence

Seko Fofana delivers 88% of the same playing style, with 2.56 key passes per 90 at age 31.

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

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Comparison Base
Geoffrey Kondogbia
MidfielderCentral African Republic€8.0M
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Similar Players — Ranked by DNA Similarity

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 Geoffrey Kondogbia.

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Frequently Asked Questions

Who are the best alternatives to Geoffrey Kondogbia?
The top alternatives to Geoffrey Kondogbia based on AI DNA playing style analysis include: Seko Fofana, Matheus Uribe, Manu Molina, Magnus Saaby, Kai Klefisch. 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 Geoffrey Kondogbia in 2026?
Players with a similar profile to Geoffrey Kondogbia in 2026 include Seko Fofana (€8.0M), Matheus Uribe (€9.5M), Manu Molina (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Geoffrey Kondogbia play and who plays similarly?
Geoffrey Kondogbia plays as a Midfielder. Players with a comparable positional profile include Seko Fofana (Ivory Coast, €8.0M); Matheus Uribe (Colombia, €9.5M); Manu Molina (Spain, N/A); Magnus Saaby (Denmark, 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.