Matt Rix, Bengal Tiger Facing Left, 2000s, Oil on Board

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Description

This original painting by matt rix shows a bengal tiger facing left, its body presented in side profile with a … Read more This original painting by matt rix shows a bengal tiger facing left, its body presented in side profile with a quiet forward gaze that gives the work a sense of attentiveness and presence. Set against a soft pale grey-blue sky and grounded by lush green terrain, the composition feels balanced and gently expressive.

executed in a naïve folk art style, the tiger’s markings are simplified yet unmistakable, celebrating form over precision. The painting is created on board using reclaimed household paints and set within a black-painted reclaimed frame with a gilt inner edge, lined with antique backing papers that introduce warmth and subtle visual texture.

signed by the artist, this piece works beautifully on its own while also complementing the related tiger painting facing the opposite direction—together forming a harmonious and characterful pair.

matt rix is an emerging british folk artist celebrated for his original naive paintings, which possess a timeless charm that resonates with a wide audience. His distinctive work - featuring animals, naive portraits, and evocative nautical scenes - has attracted keen interest from interior designers and private collectors across the uk and internationally. Rix’s art enjoys a global following, with pieces sold to collectors throughout the uk, usa, europe, the middle east, asia, and australia.

whether capturing the quiet dignity of animals, the character of a face, or the drama of the sea, rix’s paintings invite viewers into a world that feels both familiar and fantastical.

please see the photos as they show the painting on offer.

dimensions: 53.5 × 44 cm
medium: discarded household paint on board, reclaimed frame
signature: signed by the artist this piece has an attribution mark,
i am sure that it is completely authentic and take full responsibility for any authenticity
issues arising from misattribution See less