RisingTransfers
AI DNA Similarity

Best Alternatives to Dan Ballard

Players most similar to Dan Ballard (Defender, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dan Ballard

  1. 1.Malick Thiaw86% DNA match·Newcastle United€45.0M
  2. 2.Jake O'Brien86% DNA match·Everton€16.0M
  3. 3.Nathan Collins86% DNA match·Brentford€35.0M

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

RT

Intelligence Verdict

Aerials WonTop 0%
???Bottom 1%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.8 clearances/90), wins the physical battle (59% duel success), strong in aerial duels (4.4 aerials won/90) and uses long balls frequently (6.6/90). The three most similar players to Dan Ballard by playing style are:

  • Malick Thiaw(86% match)Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.
  • Jake O'Brien(86% match)A Defender. Statistically, he stands out as commanding in the air (4.2 clearances/90), wins the physical battle (62% duel success) and dominant in the air (3.4 aerials won/90, 65%).
  • Nathan Collins(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (7.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.

Transfer Intelligence

Malick Thiaw delivers 86% of the same playing style, at a 125% premium over Dan Ballard, with 1.29 tackles won per 90 at age 24.

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

D
Comparison Base
Dan Ballard
DefenderNorthern Ireland€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Ballard: €25M more expensive · 2y younger
86% match
€45.0M
#2
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
vs Ballard: 2y younger
86% match
€16.0M
#3
N
Nathan Collins
Brentford · Premier League
Republic of Ireland25yContract 2029
Tkl/900.90
KP/900.32
Ball-Playing CBAerial
Last 5: → Stable
vs Ballard: €15M more expensive
86% match
€35.0M
#4
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
86% match
€4.0M
#5
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€40.0M
#6
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#7
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
84% match
€28.0M
#8
P
Pascal Struijk
Leeds United · Premier League
Netherlands26yContract 2027
Tkl/901.17
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€22.0M
#9
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
84% match
€12.0M
#10
D
David Møller Wolfe
Wolverhampton Wanderers · Premier League
Norway24yContract 2030
Tkl/900.91
KP/900.81
Active Full-BackSmall Sample
Last 5: ↑ Hot
85% match
€10.0M
#11
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
84% match
€65.0M
#12
E
Emmanuel Agbadou
Beşiktaş · Premier League
Ivory Coast28yContract 2029
Tkl/902.62
KP/900.33
Ball-Playing CBAerial
Last 5: → Stable
85% match
€18.0M

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 Dan Ballard.

Ask AI about Dan Ballard

Frequently Asked Questions

Who are the best alternatives to Dan Ballard?
The top alternatives to Dan Ballard based on AI DNA playing style analysis include: Malick Thiaw, Jake O'Brien, Nathan Collins, Joe Worrall, Trevoh Chalobah. 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 Dan Ballard in 2026?
Players with a similar profile to Dan Ballard in 2026 include Malick Thiaw (€45.0M), Jake O'Brien (€16.0M), Nathan Collins (€35.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dan Ballard play and who plays similarly?
Dan Ballard plays as a Defender. Players with a comparable positional profile include Malick Thiaw (Germany, €45.0M); Jake O'Brien (Republic of Ireland, €16.0M); Nathan Collins (Republic of Ireland, €35.0M); 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.