Best Alternatives to Tobias Mohr

Top 3 Alternatives to Tobias Mohr

1. 1.Nikola Moro86% DNA match·Bologna€6.5M
2. 2.Robin Fellhauer85% DNA match·FC Augsburg€3.0M
3. 3.Rodrigo Mora85% DNA match·Porto€38.0M

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

Playing Style Analysis

Mohr is a high-variance vertical engine whose statistical profile suggests a player caught between being a defensive disruptor and a speculative playmaker. While his 70.8% pass accuracy is objectively poor—languishing in the bottom 10% of the league—it is the byproduct of a high-risk approach, evidenced by a robust 7.30 passes into the final third per 90. He isn't a metronome; he is a gambler. The three most similar players to Tobias Mohr by playing style are:

• Nikola Moro(86% match) — Moro is the kind of midfielder who quietly rewires a team's tempo before anyone notices he's doing it. Playing in Serie A's congested midfield battlegrounds, his 65.6 passes per 90 places him in the top 5% of the league—not because he's safe and sideways, but because he's constantly available and constantly moving the game forward. That's the counterintuitive truth buried in his numbers: his 13.52 passes into the final third per 90, also top 5%, reveals a box-to-box engine with genuine progressive ambition, not a recycler.
• Robin Fellhauer(85% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), heavily involved in play (58 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 761 minutes of playing time this season.
• Rodrigo Mora(85% match) — A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.8 shots/90), heavily involved in play (55 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).

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