RisingTransfers
AI DNA Similarity

Best Alternatives to Yannick Bright

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

Top 3 Alternatives to Yannick Bright

  1. 1.Sabil Hansen99% DNA match·Randers FC
  2. 2.Juanpe98% DNA match·Málaga
  3. 3.Nick Fichtinger98% DNA match·PEC Zwolle

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

RT

Intelligence Verdict

Press IntensityTop 1%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (4.2 tackles/90), reads the game exceptionally (2.7 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (64 passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (79 touches/90), switches play with precision (5.3 long balls/90, 68% accuracy), a high-intensity presser (press score 3.9/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 702 minutes of playing time this season. The three most similar players to Yannick Bright by playing style are:

  • Sabil Hansen(99% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.9 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (56% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Juanpe(98% match)A Ball-Winner. Statistically, he stands out as a reliable supplier (0.18 assists/90), an aggressive ball-winner (4.1 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (61% duel success), penetrates with forward passing (10.1 final-third passes/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (70 touches/90), uses long balls frequently (9.0/90), a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Nick Fichtinger(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.8 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (59% duel success), wins the ball cleanly (2.9 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 755 minutes of playing time this season.

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

Y
Comparison Base
Yannick Bright
Midfielder€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sabil Hansen
Randers FC · Superliga
Denmark20yContract 2027
KP/900.70
G/900.35
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Bright: 4y younger
99% match
N/A
#2
J
Juanpe
Málaga · La Liga
Spain30yContract 2026
KP/900.52
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
vs Bright: 6y older
98% match
N/A
#3
N
Nick Fichtinger
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
KP/900.36
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Bright: 2y younger
98% match
N/A
#4
S
Sem Scheperman
Heracles Almelo · Eredivisie
Netherlands23y
KP/900.44
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
98% match
N/A
#5
A
Abdul Moro
Horsens · Superliga
Denmark20yContract 2028
KP/900.49
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
98% match
N/A
#6
R
Rocco Ascone
Nordsjælland · Superliga
France22y
KP/902.16
G/900.00
Ball-WinnerCreative
Last 5: → Stable
98% match
N/A
#7
G
Gibson Yah
FC Volendam · Eredivisie
Netherlands22y
KP/900.57
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
97% match
N/A
#8
Y
Yunus Emre Çift
Samsunspor · Super Lig
Turkey22yContract 2027
KP/900.24
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
97% match
N/A
#9
J
Jonah Sticker
Paderborn · Bundesliga
Germany22y
KP/900.76
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
97% match
N/A
#10
L
Landon Emenalo
Chelsea · Premier League
England18y
KP/900.81
G/900.00
Ball-WinnerSmall Sample
97% match
N/A
#11
J
Jin-ho Jo
Konyaspor · Super Lig
South Korea22yContract 2027
KP/900.45
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
97% match
N/A
#12
P
Pierrick Capelle
Angers SCO · Ligue 1
France39yContract 2026
KP/900.85
G/900.00
Ball-WinnerDefensive
97% match
N/A

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 Yannick Bright.

Ask AI about Yannick Bright

Frequently Asked Questions

Who are the best alternatives to Yannick Bright?
The top alternatives to Yannick Bright based on AI DNA playing style analysis include: Sabil Hansen, Juanpe, Nick Fichtinger, Sem Scheperman, Abdul Moro. 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 Yannick Bright in 2026?
Players with a similar profile to Yannick Bright in 2026 include Sabil Hansen (N/A), Juanpe (N/A), Nick Fichtinger (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Yannick Bright play and who plays similarly?
Yannick Bright plays as a Midfielder. Players with a comparable positional profile include Sabil Hansen (Denmark, N/A); Juanpe (Spain, N/A); Nick Fichtinger (Netherlands, N/A); Sem Scheperman (Netherlands, 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.