⬡ AI DNA · Live season

Al Rayyan· 2025/2026 · Stars League · PARTIAL

Best Alternatives to Jassem Gaber

Defensive MidfieldQatar24y€2.4MFull profile →

Ball-WinnerDefensiveSmall Sample

0.39KP/90

0.00G/90

0.00A/90

Based on 689 min · 2025/2026 · Stars League · PARTIAL

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

Note: Top DNA style matches can come from lower leagues. We also surface Stars League peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Jassem Gaber

David Santos Daiber82% match
FC Bayern München · Bundesliga · €3.0M
Gianluca Gaetano81% match
Cagliari · Serie A · €4.0M

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (65 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 689 minutes of playing time this season. The three closest DNA matches to Jassem Gaber:

David Santos Daiber(82% match) — A Ball-Winner. Statistically, he stands out as an elite creator (1.7 key passes/90), an aggressive ball-winner (3.3 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90), draws fouls effectively (2.2/90), top 10% creator in the league and top 10% tackler in the league.
Gianluca Gaetano(81% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.19 assists/90), heavily involved in play (66 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
Niklas Dorsch(81% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in play (53 touches/90) and active off the ball (2.8 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

David Santos Daiber

FC Bayern München · Bundesliga

Portugal19yContract 2027

vs Gaber: 5y younger

Compare Gaber vs Daiber →

Ask about replacements for Gaber

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Jassem Gaber?▼

The top alternatives to Jassem Gaber based on AI DNA playing style analysis include: David Santos Daiber, Gianluca Gaetano, Niklas Dorsch, Salih Özcan, Jesper Karlström. 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 Jassem Gaber in 2026?▼

Players with a similar profile to Jassem Gaber in 2026 include David Santos Daiber (€3.0M), Gianluca Gaetano (€4.0M), Niklas Dorsch (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Jassem Gaber play and who plays similarly?▼

Jassem Gaber plays as a Midfielder. Players with a comparable positional profile include David Santos Daiber (Portugal, €3.0M); Gianluca Gaetano (Italy, €4.0M); Niklas Dorsch (Germany, €3.0M); Salih Özcan (Turkey, €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.

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