RisingTransfers
AI DNA Similarity

Best Alternatives to Japhet Tanganga

Players most similar to Japhet Tanganga (Defender, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Japhet Tanganga

  1. 1.Djed Spence84% DNA match·Tottenham Hotspur€30.0M
  2. 2.Cristian Romero 84% DNA match·Tottenham Hotspur€50.0M
  3. 3.Micky van de Ven83% DNA match·Tottenham Hotspur€65.0M

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

RT

Intelligence Verdict

Aerials WonTop 9%
???Bottom 24%

Tanganga has transformed from a Tottenham utility man into a Championship defensive titan whose...

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Playing Style Analysis

Physical StopperAerial

Tanganga has transformed from a Tottenham utility man into a Championship defensive titan whose dominance in the air borders on the tyrannical. Winning 73.6% of his aerial duels puts him in the league’s elite top 5%, a frequency of success that makes him an insurance policy against direct, physical attacks. While his 86.6% pass accuracy suggests a safe distributor, the counterintuitive reality is his ambition; he ranks in the top 30% for passes into the final third, proving he isn’t just recycling possession but actively hunting for vertical breakthroughs. The three most similar players to Japhet Tanganga by playing style are:

  • Djed Spence(84% match)A Defender. Statistically, he stands out as active in the tackle (1.9 tackles/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Cristian Romero (84% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), commanding in the air (4.5 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (66% duel success), dominant in the air (3.5 aerials won/90, 71%), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Micky van de Ven(83% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (90% pass accuracy) and wins the physical battle (55% duel success).

Transfer Intelligence

Djed Spence delivers 84% of the same playing style, at a 1100% premium over Japhet Tanganga, with 1.94 tackles won per 90 at age 25.

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

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Comparison Base
Japhet Tanganga
DefenderEngland€2.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Djed Spence
Tottenham Hotspur · Premier League
England25yContract 2028
Tkl/901.94
KP/900.46
Last 5: ↑ Hot
vs Tanganga: €28M more expensive · 2y younger
84% match
€30.0M
#2
C
Cristian Romero 
Tottenham Hotspur · Premier League
Argentina28yContract 2027
Tkl/902.78
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Tanganga: €48M more expensive
84% match
€50.0M
#3
M
Micky van de Ven
Tottenham Hotspur · Premier League
Netherlands25yContract 2029
Tkl/901.26
KP/900.19
Ball-Playing CB
Last 5: → Stable
vs Tanganga: €63M more expensive · 2y younger
83% match
€65.0M
#4
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
84% match
€4.0M
#5
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€28.0M
#6
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€22.0M
#7
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
83% match
€12.0M
#8
D
David Møller Wolfe
Wolverhampton Wanderers · Premier League
Norway24yContract 2030
Tkl/900.91
KP/900.81
Active Full-BackSmall Sample
Last 5: ↑ Hot
84% match
€10.0M
#9
M
Morato
Nottingham Forest · Premier League
Brazil24yContract 2029
Tkl/902.08
KP/900.15
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€14.0M
#10
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.87
KP/900.03
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€30.0M
#11
J
James Hill
AFC Bournemouth · Premier League
England24yContract 2026
Tkl/901.77
KP/900.61
Physical StopperAerial
Last 5: → Stable
83% match
€15.0M
#12
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
83% match
€28.0M

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 Japhet Tanganga.

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Frequently Asked Questions

Who are the best alternatives to Japhet Tanganga?
The top alternatives to Japhet Tanganga based on AI DNA playing style analysis include: Djed Spence, Cristian Romero , Micky van de Ven, Joe Worrall, Calvin Bassey. 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 Japhet Tanganga in 2026?
Players with a similar profile to Japhet Tanganga in 2026 include Djed Spence (€30.0M), Cristian Romero  (€50.0M), Micky van de Ven (€65.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Japhet Tanganga play and who plays similarly?
Japhet Tanganga plays as a Defender. Players with a comparable positional profile include Djed Spence (England, €30.0M); Cristian Romero  (Argentina, €50.0M); Micky van de Ven (Netherlands, €65.0M); Joe Worrall (England, €4.0M).
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.