Is Dandelions Worth Watching?
Answer: Maybe not, Dandelions is likely a skip if you enjoy Drama movies.
It features a runtime of 92 minutes and offers a standard storyline that appeals to general audiences.
Dandelions Review
Last updated: January 18, 2026
Detailed Premise & Narrative Foundations
Released in the dynamic cinematic landscape of 1974, Dandelions emerges as a significant entry in the Drama domain. The narrative core of the film focuses on a sophisticated exploration of Rick (Rutger Hauer), a disaffected sailor turned hard drinking womanizer, returns home from six months at sea to find his wife (Corrigan), whom he was deeply in love, has unexpectedly left him and is now a junkie whore. Unlike standard genre fare, Dandelions attempts to deconstruct traditional tropes, offering a conventional take on its central themes.
Cast Performances: A Masterclass
The success of any Drama is often anchored by its ensemble, and Dandelions features a noteworthy lineup led by Rutger Hauer . Supported by the likes of Dagmar Lassander and Shirley Corrigan , the performances bring a palpable realism to the scripted words.
Performance Analysis: While the cast delivers competent and professional performances, they are occasionally hampered by a script that leans into familiar archetypes.
Final Verdict: Is it Worth Watching?
In summary, our editorial assessment of Dandelions (1974) is negative. With an audience rating of 3.6/10, it stands as a highly recommended experience for genre enthusiasts.
Dandelions Plot Summary & Detailed Storyline
Quick Plot Summary: Dandelions is a Drama film that explores complex human emotions and relationships through nuanced character development. This summary provides a scannable look at the movie's central conflict and narrative structure.
Dandelions Ending Explained & Final Analysis
Ending Breakdown: Dandelions attempts to tie together its various plot elements. The finale presents its approach to drama resolution.
The emotional climax centers on character transformation, offering viewers material for post-viewing discussion.
Ending Analysis:
- Narrative Resolution: The story concludes by addressing its primary narrative threads, providing closure while maintaining some ambiguity.
- Character Arcs: Character journeys reach their narrative endpoints, reflecting the film's thematic priorities.
- Thematic Payoff: The ending reinforces the drama themes established throughout the runtime.
The final moments of Dandelions reflect the filmmakers' creative choices, offering an ending that aligns with the film's tone and style.
Who Should Watch Dandelions?
Consider Watching If:
- You're a completist for Drama films
- You're curious despite mixed reviews
- You have low expectations and want casual entertainment
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Full Cast & Crew of Dandelions
- Rutger Hauer – Rick
- Dagmar Lassander – Doreen
- Shirley Corrigan – Elke
- Heidrun Hankammer –
- Tilo von Berlepsch –
Top Highlights
Rutger HauerRick
Dagmar LassanderDoreen
Shirley CorriganElke
Heidrun Hankammer
Tilo von Berlepsch
Gerhard Soor
Karl JohnRicks Vater
Herbert ÜbelmesserBobby
Hans E. Schons
Heidrun Kuhn
Parents Guide & Age Rating
Dandelions has not been officially rated yet.
Final Verdict
Analyzing the audience sentiment, IMDb rating of 3.6/10, and global collection metrics, Dandelions stands as a challenging project for the creators. It remains an essential piece of the 1974 cinematic year.
Frequently Asked Questions
Is Dandelions movie hit or flop?
Dandelions is considered a flop based on audience ratings of 3.6/10 and lower collections.
Is Dandelions worth watching?
Based on the low rating of 3.6/10, Dandelions may not be worth watching unless you are a die-hard fan.
Where can I watch Dandelions online?
Dandelions may be available for rent or purchase on digital platforms like Apple TV, Google Play, or Amazon Prime Video. Specific streaming availability can vary by country.
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How Dandelions Compares & Where it Ranks
Critic Reviews for Dandelions
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movieMx Verified
This analysis is compiled by our editorial experts using multi-source verification and audience sentiment data for maximum accuracy.
