RisingTransfers
AI DNA Similarity

Best Alternatives to Saba Lobjanidze

Players most similar to Saba Lobjanidze (Attacker, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Saba Lobjanidze

  1. 1.Milot Rashica83% DNA match·Beşiktaş€4.0M
  2. 2.Georges Mikautadze83% DNA match·Villarreal€28.0M
  3. 3.Mousa Tamari83% DNA match·Rennes€6.0M

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

RT

Intelligence Verdict

ShotsTop 21%
???Bottom 0%

Lobjanidze functions as a high-efficiency creative engine operating within the constraints of a struggling side...

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Playing Style Analysis

Lobjanidze functions as a high-efficiency creative engine operating within the constraints of a struggling side, prioritizing surgical distribution over raw volume. While his shot output and press intensity suggest a passive presence, his 1.81 key passes per 90 place him in the league’s top 20%, revealing a player who waits for the optimal moment to carve open a defense rather than forcing the issue. The counterintuitive insight lies in his 50% duel win rate; for a player who avoids the air entirely—ranking in the bottom 10% for aerials—he is surprisingly robust on the deck, winning physical battles that most wingers of his profile would shirk. The three most similar players to Saba Lobjanidze by playing style are:

  • Milot Rashica(83% match)Rashica has evolved from a purebred transitional speedster into a blue-collar creative engine who defies the typical "luxury" winger archetype. While his 72% pass accuracy suggests a lack of refinement, the data reveals a high-risk, high-reward playmaker who sits in the top 5% of the Super Lig for key passes (2.11/90) and assists (0.32/90). The counterintuitive insight here is his defensive ferocity; despite being an attacker, he ranks in the top 5% for both ground duel win rate (83.3%) and tackles won, functioning more like a defensive end in a high-pressing system than a traditional wide man.
  • Georges Mikautadze(83% match)A Poacher. Statistically, he stands out as a constant goal threat (2.7 shots/90), a proven goalscorer (0.51 goals/90), a reliable supplier (0.22 assists/90), draws fouls effectively (2.1/90) and top 20% scorer in the league.
  • Mousa Tamari(83% match)A Complete Forward. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90) and a regular goalscorer (0.22 goals/90). Note: this profile is based on 824 minutes of playing time this season.

Transfer Intelligence

Milot Rashica delivers 83% of the same playing style, at a 167% premium over Saba Lobjanidze, with 0.09 goals per 90 at age 29. That's 22% of Saba Lobjanidze's output in goals per 90 — a credible like-for-like option.

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

S
Comparison Base
Saba Lobjanidze
AttackerGeorgia€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Milot Rashica
Beşiktaş · Super Lig
Kosovo29yContract 2027
G/900.09
A/900.28
Small Sample
Last 5: ↓ Dip
vs Lobjanidze: 2y younger · -0.33 G/90
83% match
€4.0M
#2
G
Georges Mikautadze
Villarreal · La Liga
Georgia25yContract 2031
G/900.52
A/900.22
PoacherProlific
Last 5: → Stable
vs Lobjanidze: €27M more expensive · 6y younger · +0.09 G/90
83% match
€28.0M
#3
M
Mousa Tamari
Rennes · Ligue 1
Jordan28yContract 2028
G/900.22
A/900.11
Complete ForwardSmall Sample
Last 5: ↑ Hot
vs Lobjanidze: 3y younger · -0.21 G/90
83% match
€6.0M
#4
J
Jean-Luc Dompé
Hamburger SV · Bundesliga
France30yContract 2027
G/900.18
A/900.00
Dynamic ForwardDribbler
83% match
€3.5M
#5
A
Armand Laurienté
Sassuolo · Serie A
France27yContract 2027
G/900.42
A/900.42
Inside ForwardProlific
Last 5: → Stable
83% match
€14.0M
#6
M
Mattia Zaccagni 
Lazio · Serie A
Italy30yContract 2029
G/900.15
A/900.00
Last 5: ↓ Dip
82% match
€15.0M
#7
I
Ilan Kebbal
Paris · Ligue 1
Algeria27yContract 2028
G/900.56
A/900.28
Inside ForwardProlific
Last 5: ↓ Dip
83% match
€12.0M
#8
G
Grady Diangana
Elche · La Liga
England28yContract 2027
G/900.15
A/900.00
Small Sample
83% match
€3.5M
#9
W
Wilson Odobert 
Tottenham Hotspur · Premier League
France21yContract 2029
G/900.00
A/900.18
Dynamic ForwardDribbler
82% match
€22.0M
#10
M
Moussa Djenepo
Esteghlal · Super Lig
Mali27y
G/900.09
A/900.00
Complete ForwardDribbler
82% match
€15.7M
#11
K
Kerem Aktürkoğlu
Fenerbahçe · Super Lig
Turkey27yContract 2029
G/900.29
A/900.34
Complete Forward
Last 5: → Stable
82% match
€22.0M
#12
J
Jofre Carreras
Espanyol · La Liga
Spain24yContract 2029
G/900.00
A/900.00
Dynamic ForwardDribbler
82% match
€3.0M

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 Saba Lobjanidze.

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Frequently Asked Questions

Who are the best alternatives to Saba Lobjanidze?
The top alternatives to Saba Lobjanidze based on AI DNA playing style analysis include: Milot Rashica, Georges Mikautadze, Mousa Tamari, Jean-Luc Dompé, Armand Laurienté. 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 Saba Lobjanidze in 2026?
Players with a similar profile to Saba Lobjanidze in 2026 include Milot Rashica (€4.0M), Georges Mikautadze (€28.0M), Mousa Tamari (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Saba Lobjanidze play and who plays similarly?
Saba Lobjanidze plays as a Attacker. Players with a comparable positional profile include Milot Rashica (Kosovo, €4.0M); Georges Mikautadze (Georgia, €28.0M); Mousa Tamari (Jordan, €6.0M); Jean-Luc Dompé (France, €3.5M).
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.