AI DNA Similarity
Best Alternatives to Akash Mishra
Players most similar to Akash Mishra (Defender, €325K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Akash Mishra
- 1.Sylian Mokono99% DNA match·VVV-Venlo
- 2.Yousri el Anbri98% DNA match·VVV-Venlo
- 3.Magnus Fredslund97% DNA match·Hvidovre
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 7%
???Bottom 0%
“A Reading Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Reading Defender
A Reading Defender. Statistically, he stands out as active in the tackle (1.8 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (10.1 final-third passes/90), uses long balls frequently (8.4/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. However, he struggles in aerial duels. The three most similar players to Akash Mishra by playing style are:
- Sylian Mokono(99% match) — A Reading Defender. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (4.3 clearances/90), reads the game exceptionally (2.3 interceptions/90), wins the physical battle (62% duel success), penetrates with forward passing (8.9 final-third passes/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (7.7/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 691 minutes of playing time this season.
- Yousri el Anbri(98% match) — A Reading Defender. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.0 clearances/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (61% duel success) and uses long balls frequently (5.2/90). Note: this profile is based on 608 minutes of playing time this season.
- Magnus Fredslund(97% match) — A Reading Defender. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (3.0 tackles/90), penetrates with forward passing (9.3 final-third passes/90), wins the ball cleanly (2.1 successful tackles/90), central to possession (80 touches/90), uses long balls frequently (9.2/90), 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 828 minutes of playing time this season.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
S
Sylian Mokono
VVV-Venlo · Eredivisie
Netherlands27y
Tkl/901.73
KP/900.69
Reading DefenderAerial
vs Mishra: 3y older
99% match
N/A
#2
Y
Yousri el Anbri
VVV-Venlo · Eredivisie
Netherlands20yContract 2027
Tkl/902.16
KP/900.00
Reading DefenderAerial
vs Mishra: 4y younger
98% match
N/A
#3
M
Magnus Fredslund
Hvidovre · Superliga
Denmark33y
Tkl/902.48
KP/902.25
Reading DefenderSmall Sample
Last 5: ↑ Hotvs Mishra: 9y older
97% match
N/A
#4
P
Pelayo Fernández
Rayo Vallecano · La Liga
Spain23y
Tkl/901.00
KP/900.00
Reading DefenderAerial
Last 5: → Stable97% match
€3.5M
#5
A
Abdullah Şahindere
Gençlerbirliği · Super Lig
Turkey22yContract 2026
Tkl/902.62
KP/900.50
Reading DefenderAerial
97% match
N/A
#6
H
Hevertton Ciriaco Santos
Gil Vicente · Liga Portugal
Brazil25yContract 2026
Tkl/902.97
KP/900.74
Reading DefenderAerial
Last 5: → Stable97% match
N/A
#7
M
Mertcan Ayhan
Schalke 04 · Bundesliga
Turkey19yContract 2028
Tkl/902.18
KP/900.10
Reading DefenderAerial
Last 5: → Stable97% match
N/A
#8
T
T. Klysner
Sønderjyske Fodbold · Superliga
Denmark24yContract 2027
Tkl/901.71
KP/900.68
Reading DefenderSmall Sample
Last 5: → Stable97% match
N/A
#9
A
Antef Tsoungui
Estoril · Liga Portugal
Belgium23y
Tkl/902.43
KP/900.39
Ball-Playing CB
Last 5: → Stable97% match
N/A
#10
N
Neville Ogidi Nwankwo
Telstar · Eredivisie
Netherlands23yContract 2026
Tkl/901.76
KP/900.30
Reading DefenderAerial
Last 5: ↓ Dip97% match
N/A
#11
J
Jasper Dahlhaus
Fortuna Sittard · Eredivisie
Netherlands24yContract 2026
Tkl/902.04
KP/900.62
Reading Defender
Last 5: → Stable96% match
N/A
#12
L
Luka Hujber
Vejle Boldklub · Superliga
Croatia26y
Tkl/903.42
KP/900.77
Reading DefenderAerial
96% 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 Akash Mishra.
Ask AI about Akash Mishra →Frequently Asked Questions
Who are the best alternatives to Akash Mishra?▼
The top alternatives to Akash Mishra based on AI DNA playing style analysis include: Sylian Mokono, Yousri el Anbri, Magnus Fredslund, Pelayo Fernández, Abdullah Şahindere. 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 Akash Mishra in 2026?▼
Players with a similar profile to Akash Mishra in 2026 include Sylian Mokono (N/A), Yousri el Anbri (N/A), Magnus Fredslund (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Akash Mishra play and who plays similarly?▼
Akash Mishra plays as a Defender. Players with a comparable positional profile include Sylian Mokono (Netherlands, N/A); Yousri el Anbri (Netherlands, N/A); Magnus Fredslund (Denmark, N/A); Pelayo Fernández (Spain, €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.