RisingTransfers
AI DNA Similarity

Best Alternatives to J. Timber

Players most similar to J. Timber (Defender, €70.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to J. Timber

  1. 1.William Saliba89% DNA match·Arsenal€90.0M
  2. 2.Joachim Andersen87% DNA match·Fulham€25.0M
  3. 3.Micky van de Ven86% DNA match·Tottenham Hotspur€65.0M

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

RT

Intelligence Verdict

AssistsTop 8%
???Bottom 2%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as a reliable supplier (0.18 assists/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to J. Timber by playing style are:

  • William Saliba(89% match)Saliba has quietly become the most complete ball-playing centre-back in the Premier League—a defender who makes the game look administrative. His 92.7% pass accuracy and 76 passes per 90 place him in the top 5% of defenders in the division, yet the more revealing figure is his 6.81 passes into the final third per 90, putting him in the top 20%—this isn't a man simply recycling possession, he's actively driving attacks from deep. The counterintuitive truth: his below-average interception rate isn't laziness, it's positioning intelligence—he's rarely caught out of place enough to need them.
  • Joachim Andersen(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (86 touches/90), uses long balls frequently (11.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Micky van de Ven(86% 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

William Saliba delivers 89% of the same playing style, at a 29% premium over J. Timber, with 1.28 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 →

J
Comparison Base
J. Timber
DefenderNetherlands€70.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Timber: €20M more expensive
89% match
€90.0M
#2
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Timber: €45M cheaper · 5y older
87% match
€25.0M
#3
M
Micky van de Ven
Tottenham Hotspur · Premier League
Netherlands25yContract 2029
Tkl/901.26
KP/900.19
Ball-Playing CB
Last 5: → Stable
86% match
€65.0M
#4
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€28.0M
#5
P
Pedro Porro 
Tottenham Hotspur · Premier League
Spain26yContract 2028
Tkl/902.40
KP/901.68
Active Full-Back
Last 5: ↑ Hot
86% match
€40.0M
#6
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
86% match
€35.0M
#7
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
85% match
€65.0M
#8
B
Bremer
Juventus · Serie A
Brazil29yContract 2029
Tkl/901.03
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€35.0M
#9
J
Jarell Quansah
Bayer 04 Leverkusen · Bundesliga
England23yContract 2030
Tkl/900.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€40.0M
#10
T
Takehiro Tomiyasu
Ajax · Eredivisie
Japan27yContract 2026
Tkl/901.75
KP/900.00
Active Full-Back
Last 5: → Stable
85% match
€12.0M
#11
J
Jakub Kiwior
Porto · Liga Portugal
Poland26yContract 2026
Tkl/902.03
KP/900.55
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€27.0M
#12
L
Levi Colwill
Chelsea · Premier League
England23yContract 2029
Tkl/901.41
KP/900.41
Ball-Playing CBBall-Playing
85% match
€50.0M

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 J. Timber.

Ask AI about J. Timber

Frequently Asked Questions

Who are the best alternatives to J. Timber?
The top alternatives to J. Timber based on AI DNA playing style analysis include: William Saliba, Joachim Andersen, Micky van de Ven, Calvin Bassey, Pedro Porro . 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 J. Timber in 2026?
Players with a similar profile to J. Timber in 2026 include William Saliba (€90.0M), Joachim Andersen (€25.0M), 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 J. Timber play and who plays similarly?
J. Timber plays as a Defender. Players with a comparable positional profile include William Saliba (France, €90.0M); Joachim Andersen (Denmark, €25.0M); Micky van de Ven (Netherlands, €65.0M); Calvin Bassey (Nigeria, €28.0M).
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.