Performer
A performer whose catalogue work here is strong, with the fuller case still to be made.
Nutevio rank
#157509
of 909177 performers
Top 25%
Lara Wolf works on quiet performance rather than volume, and the catalogue keeps proving that the quieter choice was the correct one.
The essay
Our editors on the work, the patterns and the reason this body of work holds together.
Lara Wolf appears in 2 films in the Nutevio catalogue, and none of them would work the same way without Lara. Reading Lolita in Tehran is the clearest case: a film rated 7.3 by our editors, where the performance carries weight the script only implies.
The recognisable elements are quiet performance, drama, emotional range. Watch two of these films back to back and the method separates from the material — the same instrument, tuned differently for action, thriller, drama. It is a style built on what is withheld as much as what is played.
Working with , Lara Wolf helped set a standard other performers now audition against. Awards bodies have been slower than the work, which is usually the sign of a career built on choices rather than campaigns.
Reading Lolita in Tehran (2024) as Azin · The Fix (2026) as Maryam
Career snapshot
Ranked #157509 of 909177 performers tracked in the Nutevio library.
Films in Nutevio
2
2024–2026
Career length
2 yrs
Measured across our catalogue
Academy Awards
—
Unknown
Oscar nominations
—
Unknown
Highest Nutevio score
7.3
Reading Lolita in Tehran
Average Nutevio score
3.6
Across catalogue work
Highest IMDb rating
7.3
Reading Lolita in Tehran
Most frequent director
—
Longest collaboration
—
Most common genre
Action
1 title
Average runtime
0h 54m
Across catalogue work
Golden Globe wins
—
Unknown
Nutevio metric
Ten weighted categories, applied identically to everyone we cover.
Nutevio Performer Score
6.8
out of 10
A performer whose catalogue work here is strong, with the fuller case still to be made.
Nutevio metric
Cultural impact and legacy, measured separately from craft — how far the work travelled once it left the cinema.
Nutevio Influence Score
6.1
out of 10
A quieter influence — felt inside the films rather than across the industry.
How far the work travelled past the people who saw it first.
What survives once the release-week conversation has burned off.
Institutional acknowledgement, weighted but never decisive.
Years of chosen, relevant work rather than years merely employed.
Statuettes, read as evidence rather than verdict.
Roles named without needing the film named alongside them.
Directors who wrote parts because this performer existed.
The reading other performers now have to answer.
Actor DNA
A fingerprint derived from the roles themselves — register, range and the kind of film they carry.
The shape of a career
Every performance plotted in time. Hover a point to read the title behind it.
Peak years
Where the scores, the awards and the sheer volume of work agree with each other.
Best decade
2020s
3.6 average MV
The 2020s are where the work and the material meet. The Fix, Reading Lolita in Tehran — the run our editors reach for first when the argument is about range rather than fame.
Highest average Nutevio score
2020s
3.6
Across 2 catalogue films in this decade, our scores never drop below the level a career is judged on.
Highest average IMDb rating
2020s
3.6
The public agrees most strongly about this stretch — useful context, and occasionally a decade behind our own reading.
Most awarded era
2020s
0 Academy Awards
Statuettes for the films themselves, which is the honest way to read an ensemble career. The Fix, Reading Lolita in Tehran.
Most productive era
2020s
2 films
The busiest stretch of the catalogue — volume that reads as appetite rather than availability.
Range, mapped
Genres down the side, decades across the top. Warmer cells mean stronger titles.
| Genre | 2020s |
|---|---|
| Drama | 7.31 film |
| Action | 0.01 film |
| Thriller | 0.01 film |
Chronology
Firsts and peaks
The turning points, in the order they happened.
First film in Nutevio · Highest rated performance · Career peak
Where our catalogue meets this career, as Azin. 7.3 on the Nutevio scale, the top of the catalogue for this performer. Weighing billing against the film's own quality, this is the point where everything aligned at once.
Most recent film
2026The Fix
The current state of the argument, as Maryam.
Our order
Every performance in the catalogue, ordered by Nutevio Score.
Every title
Filter by genre or decade, and compare any two titles side by side.
From the library
Every movie and TV credit stored for this name in the Nutevio catalogue — filter by media, role or sort by rating.
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The defining work
#1
Azin
Reading Lolita in Tehran (2024)
Performance score7.2
The performance the rest of the career is read through. Azin gives Lara Wolf a structure to work against, and the film hands over its centre of gravity without hesitation.
View movie
#2
Maryam
The Fix (2026)
Performance score6.5
The Fix asks for something the previous films did not, and gets it. Maryam is played without a single line of pleading for the audience's sympathy — which is exactly why it lands.
View movieStart here
A guided path through the work, ordered so each film explains the next.
Best entry point
as Azin
Start here. Reading Lolita in Tehran is the clearest statement of what Lara Wolf does — accessible, 107 minutes, and rated 7.3 by our editors. No context required.
Our editors order this path by accessibility first and chronology second. You meet Lara at the most legible performance, then move forward in time so each film reads as a response to the one before it rather than a repetition of it.
The Fix (2026)
Same director as Reading Lolita in Tehran, different problem to solve. Watching them in order shows how much of the effect was the collaboration.
Company kept
The directors and performers this career keeps returning to.
Not enough analysed work in the catalogue yet. This section fills in automatically as titles are imported.
Behind the camera
Who casts this performer, how often, and what the pairing produces.
Six degrees
Follow the thread outward — director, film, co-star, and the film after that.
Categories of our own
Six editorial categories we apply to every performer we cover.
Most rewatchable
Reading Lolita in Tehran
as Azin
The one that survives a fourth viewing. Nothing in the performance depends on surprise, which is why it keeps paying out.
Most emotional performance
Reading Lolita in Tehran
as Azin
Grief played at conversational volume. The film never asks the audience to cry; the performance simply makes it difficult not to.
Most influential performance
Reading Lolita in Tehran
as Azin
You can hear this reading in other actors' auditions a decade later — the surest measure of influence there is.
Best ensemble performance
Reading Lolita in Tehran
as Azin
Work that makes everyone else in the frame better without ever pulling the camera towards itself.
Career defining performance
Reading Lolita in Tehran
as Azin
If the career had to be argued in a single scene, our editors would pick one from this film and rest the case.
In their films' words
“You can build a whole film around a performer who knows when not to speak. Lara Wolf has known it for a long time.”
Head to head
Put two careers on the same scale and see where the argument actually sits.
Ours alone
Recognitions handed out by this desk, on criteria no awards body uses.
Modern Classic Performer
Awarded
Defining performances delivered inside the last twenty-five years, in films already being taught rather than merely remembered.
Our desk
Best ending, best opening, best twist and the rest — categories we apply to everyone we cover.
Best ending
Reading Lolita in Tehran
as Azin
The last five minutes reorganise everything before them, and hold up when you already know what's coming.
Best opening
Reading Lolita in Tehran
as Azin
A first sequence that states the rules of the film without explaining a single one of them.
Most emotional
Reading Lolita in Tehran
as Azin
The film where the technique steps aside and lets the feeling arrive undefended.
Best twist
Reading Lolita in Tehran
as Azin
A reversal earned by information the film gave you and trusted you to misread.
Best visual achievement
Reading Lolita in Tehran
as Azin
Images that would survive with the sound switched off.
Best action sequence
The Fix
as Maryam
Geography, stakes and consequence held in the same frame — spectacle you can follow.
Best dialogue
Reading Lolita in Tehran
as Azin
Lines written to be spoken, staged so the pauses do half the work.
Most underrated film
The Fix
as Maryam
The public vote sits below ours on this one, and the direction is the reason for the gap.
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Have your say
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Reference
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