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One Battle After Another

Film Profile · ONE-BATTLE-AFTER-ANOTHER

One Battle After Another

2025Thriller / Crime / ComedyThriller2h 42m
Detections115,098
Night Frames50%
Dialogue WPM69
Dom. Emotionneutral
CharactersCompareDeep Dive

GENOME

Movie DNA

Six core dimensions, each scored against the genre baseline.

Darkness-100% vs genre
0/100

Very Bright

Action Intensity-90% vs genre
5.2/100

Moderate

People Density-97% vs genre
1.5/100

Intimate

Indoor / Outdoor
61% indoor

Indoor · 61.0% indoors

Object Diversity
83/100

High

Pacing
0.6 cuts/min

Dynamic · cuts/min

FINGERPRINT

The full shape, vs. genre

Six axes overlaid against the average for this film's primary genre.

DARKNESS50ACTION53DIALOGUE37PEOPLE45VEHICLES12VISUAL100
One Battle After AnotherThriller avg · 4 titles

THE ARC

Motion & brightness across the runtime

Hover to scrub. Spikes mark high-action sequences. Dips reveal quiet stretches.

Motion Intensity
Brightness
People
0:00 → 162m
02550751000m41m81m122m162m
See every beat →

STRUCTURE

Scene mix by act

Three-act split — how the visual tone shifts from setup through climax.

ACT 1 · SETUP
●outdoor dominates53%
ACT 2 · CONFRONTATION
●outdoor dominates51%
ACT 3 · CLIMAX
●outdoor dominates51%
Full act breakdown →

PEAKS & VALLEYS

When the film pushes — and breathes

The single most-intense minute and longest stretch of stillness.

MOST INTENSE MINUTE
1:36:45
motion 113/100
BREATHING ROOM
3calm stretches
longest 1461.7s at 119:35
All calm sequences · all silences →

CHROMA

Color signature

Frame-sampled palette — temperature, saturation, and how the look shifts across the runtime.

Temperaturewarm
Saturationmuted
Frames sampled7,787
Film color bandhow the palette shifts across the runtime · 60 buckets
0:00¼½¾end
Overall palette6 dominant colors · % of sampled frames
#AAA682
18.4%
#513419
17.9%
#3C4D4B
17.8%
#DCD9B6
17.4%
#747765
17.3%
#845B2A
11.1%
Palette by scene type5 dominant colors per context · sampled within scene class
Day scenes
#A49C7B
#D2C89D
#626050
#E9E6CD
#A7C5B1
Empty scenes
#494839
#7D745E
#AAA789
#DDDABB
#326487
Night scenes
#583413
#514F41
#8E7E58
#CECEA8
#204A5B
Outdoor scenes
#D4D1AC
#948F70
#4F351B
#745B39
#3A5254
Romantic scenes
#65451F
#7A765D
#B3AB81
#374A46
#E1D8B3
Vibrant scenes
#7A5225
#9E7234
#723D0C
#256580
#CB9F4E

DETECTIONS

What appears on screen most

The four most-present objects — full breakdown with categories in Deep Dive.

Police car2%
Car11%
Chair11%
Potted plant4%
+ 6 more · person in 84% of frames
Every detected object · by category →

ON SCREEN

Cast at a glance

Top 3 actors by screen time, color-coded by dominant emotion.

LD
Leonardo DiCaprio
Bob
24.3m · angry
CI
Chase Infiniti
Willa
14.4m · sad
SP
Sean Penn
Col. Steven J. Lockjaw
14.2m · sad
4 CHARACTERS · EMOTION-CODED ANALYSISSee all characters →

DIALOGUE

Words across the runtime

Volume and pace at a glance. Top vocabulary and per-act WPM in Deep Dive.

37% dialogue63% silence / score
11,218
total words
69
words / min
167 · 1.5%
profanity flagged
Top vocabulary · WPM by act · profanity →