RisingTransfers
AI DNA Similarity

Best Alternatives to Mirko Ivanic

Players most similar to Mirko Ivanic (Midfielder, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mirko Ivanic

  1. 1.Saša Lukić85% DNA match·Fulham€12.0M
  2. 2.Filip Kostić85% DNA match·Juventus€3.5M
  3. 3.Ivan Ilić85% DNA match·Torino€10.0M

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

RT

Intelligence Verdict

ShotsTop 2%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorSmall Sample

A Creator. Statistically, he stands out as a capable chance creator (1.5 key passes/90), reads the game exceptionally (1.7 interceptions/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 542 minutes of playing time this season. The three most similar players to Mirko Ivanic by playing style are:

  • Saša Lukić(85% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (54 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he prone to committing fouls (2.7/90).
  • Filip Kostić(85% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a proven goalscorer (0.59 goals/90), a reliable supplier (0.20 assists/90), an aggressive ball-winner (3.3 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 461 minutes of playing time this season.
  • Ivan Ilić(85% match)Ilić is the kind of midfielder who makes the game look slower than it is—not because he's languid, but because he's almost always in the right place before the problem arrives. His interceptions and key passes both sit in the top 20% of Serie A midfielders, a rare pairing that signals genuine two-way intelligence rather than a specialist's one-trick value. Here's the counterintuitive part: his duel win rate sits in the bottom 10%, which looks damning until you realize that a midfielder winning this many interceptions rarely needs to win duels—he's already cut the pass off.

Transfer Intelligence

Saša Lukić delivers 85% of the same playing style, at a 823% premium over Mirko Ivanic, with 1.48 key passes per 90 at age 29.

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

M
Comparison Base
Mirko Ivanic
MidfielderMontenegro€1.3M
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Similar Players — Ranked by DNA Similarity

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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 Mirko Ivanic.

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Frequently Asked Questions

Who are the best alternatives to Mirko Ivanic?
The top alternatives to Mirko Ivanic based on AI DNA playing style analysis include: Saša Lukić, Filip Kostić, Ivan Ilić, Danel Sinani, Filip Ugrinic. 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 Mirko Ivanic in 2026?
Players with a similar profile to Mirko Ivanic in 2026 include Saša Lukić (€12.0M), Filip Kostić (€3.5M), Ivan Ilić (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mirko Ivanic play and who plays similarly?
Mirko Ivanic plays as a Midfielder. Players with a comparable positional profile include Saša Lukić (Serbia, €12.0M); Filip Kostić (Serbia, €3.5M); Ivan Ilić (Serbia, €10.0M); Danel Sinani (Luxembourg, €3.0M).
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.