RisingTransfers
⬡ AI DNA · Live season
Lyngby Boldklub

Best Alternatives to G. Fraulo

MidfielderDenmark21yN/AFull profile →
CreatorCreative
2.63KP/90
0.15G/90
0.38A/90

Based on 2,439 min · 2025/2026 · Superliga · FULL

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

DNA matchPrioritizes Superliga & top-tier peers

Top 3 alternatives to G. Fraulo

  1. Casper Jørgensen99% match

    Kolding IF · Superliga

  2. G. Larsen99% match

    HB Køge · Superliga

  3. Jesús Alfaro98% match

    Kolding IF · Superliga

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Intelligence Verdict

Key PassesTop 3%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.22 goals/90), a prolific assist provider (0.26 assists/90), heavily involved in play (66 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% creator in the league. The three closest DNA matches to G. Fraulo:

  • Casper Jørgensen(99% match) A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.0 tackles/90), heavily involved in play (61 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • G. Larsen(99% match) A Box-to-Box. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.1 tackles/90), heavily involved in play (53 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Jesús Alfaro(98% match) A Box-to-Box. Statistically, he stands out as an elite creator (2.1 key passes/90), a reliable supplier (0.17 assists/90), wins the physical battle (55% duel success), heavily involved in play (55 touches/90), draws fouls effectively (2.5/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

Comparison Base
G. Fraulo
MidfielderDenmarkSuperligaN/A

Similar Players — Ranked by DNA Similarity

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Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for G. Fraulo vs Casper Jørgensen, G. Larsen, and Jesús Alfaro. Post to X or WhatsApp — DNA + season totals from RT.

G. Fraulo RT player card

Source · G. Fraulo

Casper Jørgensen RT player card

Alt · Casper Jørgensen

G. Larsen RT player card

Alt · G. Larsen

Jesús Alfaro RT player card

Alt · Jesús Alfaro

Want a deeper take? Scroll to Ask RT below — same shortlist, multi-turn chat.

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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 G. Fraulo?
The top alternatives to G. Fraulo based on AI DNA playing style analysis include: Casper Jørgensen, G. Larsen, Jesús Alfaro, Meinhard Olsen, Max Ejdum. 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 G. Fraulo in 2026?
Players with a similar profile to G. Fraulo in 2026 include Casper Jørgensen (N/A), G. Larsen (N/A), Jesús Alfaro (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does G. Fraulo play and who plays similarly?
G. Fraulo plays as a Midfielder. Players with a comparable positional profile include Casper Jørgensen (Denmark, N/A); G. Larsen (Denmark, N/A); Jesús Alfaro (Spain, N/A); Meinhard Olsen (Faroe Islands, 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.