⬡ AI DNA · Live season

Olympique Marseille· 2025/2026 · Ligue 1 · PARTIAL

Best Alternatives to Geoffrey Kondogbia

Defensive MidfieldCentral African Republic33y€8.0MFull profile →

MetronomeSmall Sample

0.30KP/90

0.00G/90

0.00A/90

Based on 595 min · 2025/2026 · Ligue 1 · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Ligue 1 & top-tier peers

Top 3 alternatives to Geoffrey Kondogbia

Arthur Vermeeren80% match
Olympique Marseille · Ligue 1 · €20.0M
Pierre-Emile Højbjerg80% match
Olympique Marseille · Ligue 1 · €18.0M
Tyler Morton80% match
Olympique Lyonnais · Ligue 1 · €18.0M

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Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as naturally left-footed, active in the tackle (2.1 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (8.6 final-third passes/90), central to possession (80 touches/90) and a high-intensity presser (press score 3.9/90), constantly disrupting opposition build-up. Note: this profile is based on 595 minutes of playing time this season. The three closest DNA matches to Geoffrey Kondogbia:

Arthur Vermeeren(80% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (62 passes/90), central to possession (76 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Pierre-Emile Højbjerg(80% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.17 assists/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (74 passes/90), penetrates with forward passing (12.4 final-third passes/90), central to possession (87 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
Tyler Morton(80% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), meticulous in distribution (88% pass accuracy), heavily involved in play (68 touches/90), switches play with precision (5.5 long balls/90, 66% accuracy) and active off the ball (2.4 press score/90), contributing to defensive transitions.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Arthur Vermeeren

Olympique Marseille · Ligue 1

Belgium21yContract 2026

KP/901.20

G/900.00

Ball-WinnerDefensiveSteady form

vs Kondogbia: €12M more expensive · 12y younger

80% match

€20.0M

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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: Arthur Vermeeren, Pierre-Emile Højbjerg, Tyler Morton, Tanner Tessmann, Ngal'ayel Mukau. 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 Arthur Vermeeren (€20.0M), Pierre-Emile Højbjerg (€18.0M), Tyler Morton (€18.0M). 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 Arthur Vermeeren (Belgium, €20.0M); Pierre-Emile Højbjerg (Denmark, €18.0M); Tyler Morton (England, €18.0M); Tanner Tessmann (United States, €12.0M).

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.

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