Reifenbewertungen Hankook K435 Kinergy Eco 2. Seite 34 1394

  • Hankook K435 Kinergy Eco 2
    Hankook K435 Kinergy Eco 2

Статистика отзывов на шины Hankook K435 Kinergy Eco 2

Ниже отображены сводные характеристики шины, основанные на отзывах и оценках автовладельцев со всего мира.
При учёте общей оценки летней шины её показатели на снегу и льду не учитываются.

  • Средняя оценка шин Hankook K435 Kinergy Eco 2 пользователями сайта: 4.85339 из 5
  • Количество отзывов на шины Hankook K435 Kinergy Eco 2: 1400 шт.
  • Место в рейтинге: 127
  • Место в рейтинге (летние): 83
Handling auf trockener Straße
Handling auf nasser Straße
Fahrkomfort
Geräuschentwicklung im Fahrbetrieb
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  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Danke, die Räder sind großartig, alles passt!!! Wir werden noch mehr bestellen

    Größe:
    195/65 R15 95T XL
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

    3. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.

    4. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.

    6. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; and a pattern detection module, wherein the system provides the extracted text and salient patterns to a notetaking application.

    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.

    8. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.

    10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.

    12. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    3. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    4. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    6. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.
    12. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    3. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    4. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    6. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the method includes detecting starting conditions, processing audio data, and providing extracted information to a notetaking application.
    10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.
    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the claims are directed to the key technical features of the invention.
    12. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns, wherein the system provides the extracted text and salient patterns to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    3. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    4. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.
    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    6. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    12. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    3. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    4. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.
    5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    6. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    7. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.
    9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    10. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.
    11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    12. A system for automatically capturing information from audio data and computer operating context, comprising: a computer-implemented method for detecting starting conditions for data extraction; a speech recognition module for processing audio data; and a pattern detection module for identifying salient patterns.

    Größe:
    185/65 R15 92T XL
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. This system uses various modules, including activity detection and pattern detection, to identify and extract relevant information from the audio data. The system then provides this extracted information to a notetaking application for further processing.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
    3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying relevant information using a pattern detection module; and providing the extracted information to a notetaking application.
    5. The method of claim 4, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including user interactions and system configurations.
    6. A computer-implemented method for capturing information from audio data, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules; and providing the extracted information to a notetaking application for further processing.
    7. The method of claim 6, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text and user input.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    9. The system of claim 8, wherein the pattern detection module uses machine learning algorithms to identify relevant information based on the audio data and user interactions.
    10. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying relevant information using a pattern detection module; and providing the extracted information to a notetaking application.
    11. The method of claim 10, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text and system configuration.
    12. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    13. The system of claim 12, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
    14. A method for automatically capturing information from audio data, comprising: receiving audio data; processing the audio data using speech recognition and pattern detection modules; and providing the extracted information to a notetaking application.
    15. The method of claim 14, wherein the pattern detection module identifies relevant information based on the audio data and user input, using machine learning algorithms and natural language processing techniques.

    **Claims**:
    1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
    3. The system of claim 1, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying relevant information using a pattern detection module; and providing the extracted information to a notetaking application.
    5. The method of claim 4, wherein the speech recognition module uses deep learning algorithms to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text and user input.
    6. A computer-implemented method for capturing information from audio data, comprising: receiving audio data from a microphone or other audio input device; processing the audio data using speech recognition and pattern detection modules; and providing the extracted information to a notetaking application for further processing.
    7. The method of claim 6, wherein the pattern detection module uses machine learning algorithms to identify relevant information based on the audio data and user interactions.
    8. A system for automatically capturing information from audio data and computer operating context, comprising: a microphone or other audio input device to receive audio data; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    9. The system of claim 8, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context.
    10. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using a speech recognition module; identifying relevant information using a pattern detection module; and providing the extracted information to a notetaking application.
    11. The method of claim 10, wherein the speech recognition module uses natural language processing to transcribe the audio data into text, and the pattern detection module identifies relevant information based on the transcribed text and system configuration.
    12. A computer system for automatically capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process the audio data; a pattern detection module to identify salient patterns; and a notetaking application to receive and process the extracted information.
    13. The system of claim 12, wherein the pattern detection module uses machine learning algorithms to identify relevant information based on the audio data and user input.
    14. A method for automatically capturing information from audio data, comprising: receiving audio data; processing the audio data using speech recognition and pattern detection modules; and providing the extracted information to a notetaking application.
    15. The method of claim 14, wherein the activity detection module uses machine learning algorithms to detect starting conditions based on audio data and computer operating context, and the pattern detection module identifies relevant information based on the audio data and user interactions.

    Größe:
    185/65 R15 92T XL
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Gute Reifen 185 65 15 Hankook

    Größe:
    185/65 R15 92T XL
    Bewertung
  • Bewertung über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Die Räder passten genau

    Größe:
    195/70 R14 91T
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Alles ist gut

    Größe:
    185/60 R15 84H
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Reifen-Norm

    Fahrzeug:
    ВАЗ XRAY
    Größe:
    205/70 R15 96T
    Würden Sie es wieder kaufen?:
    Wahrscheinlich
    Stadt:
    Ufa
    Handling auf trockener Straße
    Handling auf nasser Straße
    Geradeauslaufstabilität
    Fahrkomfort
    Geräuschentwicklung im Fahrbetrieb
    Bremsleistung
    Widerstand gegen Aquaplaning
    Geschwindigkeitsmerkmale
    Abnutzungsbeständigkeit
    Verarbeitungsqualität
    Preis-Leistungs-Verhältnis
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Sieht sehr gut aus und wurde Ende 23 hergestellt

    Größe:
    195/65 R15 95T XL
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Bestellte für meinen Vater, überprüfte alles nach der Nummer, alles stimmt überein. Wie es installiert ist, werde ich den Kommentar ergänzen

    Größe:
    205/70 R15 96T
    Bewertung
  • über den Reifen Hankook K435 Kinergy Eco 2

    Artikel wurde bei Mosavtoshina gekauft
    Bewertung
    5

    Bestellte ein Reifen für den Hyundai Getz, alles passte, der Reifen ist gut

    Größe:
    175/65 R14 86T XL
    Bewertung