RisingTransfers
AI DNA Similarity

Best Alternatives to Telasco Segovia

Players most similar to Telasco Segovia (Midfielder, €4.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Telasco Segovia

  1. 1.İsmail Köybaşı98% DNA match·Göztepe
  2. 2.Álex Cardero97% DNA match·Real Oviedo
  3. 3.Matija Mitrovic97% DNA match·Vitória Guimarães

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

Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a regular goalscorer (0.20 goals/90), a prolific assist provider (0.51 assists/90), meticulous in distribution (92% pass accuracy), heavily involved in play (69 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 886 minutes of playing time this season. The three most similar players to Telasco Segovia by playing style are:

  • İsmail Köybaşı(98% match)A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a regular goalscorer (0.22 goals/90), active in the tackle (2.2 tackles/90), wins the physical battle (55% duel success), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (65 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 804 minutes of playing time this season.
  • Álex Cardero(97% match)A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 613 minutes of playing time this season.
  • Matija Mitrovic(97% match)A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a regular goalscorer (0.26 goals/90), wins the physical battle (57% duel success), penetrates with forward passing (8.3 final-third passes/90), heavily involved in play (62 touches/90), draws fouls effectively (2.1/90), uses long balls frequently (5.7/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 693 minutes of playing time this season.

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

T
Comparison Base
Telasco Segovia
Midfielder€4.5M
Full profile →

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 Telasco Segovia.

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Frequently Asked Questions

Who are the best alternatives to Telasco Segovia?
The top alternatives to Telasco Segovia based on AI DNA playing style analysis include: İsmail Köybaşı, Álex Cardero, Matija Mitrovic, Aarón Ochoa, Luka Tunjic. 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 Telasco Segovia in 2026?
Players with a similar profile to Telasco Segovia in 2026 include İsmail Köybaşı (N/A), Álex Cardero (N/A), Matija Mitrovic (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Telasco Segovia play and who plays similarly?
Telasco Segovia plays as a Midfielder. Players with a comparable positional profile include İsmail Köybaşı (Turkey, N/A); Álex Cardero (Spain, N/A); Matija Mitrovic (Serbia, N/A); Aarón Ochoa (Spain, 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.