Wei Guang Tan is a Singaporean professional poker player who has established himself as a consistent mid-stakes competitor across the Asian tournament circuit. He is particularly active in major festivals in the Philippines and Taiwan.
Career Earnings & Biggest Results
According to The Hendon Mob, Wei Guang Tan has total live earnings of $8,413. His career-best live cash of $3,066 was achieved in November 2022 during the Asian Poker Tour (APT) Philippines in Manila, where he secured a deep run in the Main Event, finishing 22nd.
Tan has maintained a steady presence in regional “Megastack” and “Super Series” events. In December 2025, he recorded an 86th-place finish in the Manila Megastack 23 Main Event for PHP 86,000 (~$1,461). His resume also includes notable final table appearances, such as a 6th-place finish in the APT Philippines 2022 Deep Stack Turbo for PHP 15,100 (~$266) and another 6th-place result in the Singapore Poker Championships 1 for $2,426. These consistent results have placed him inside the top 480 on the Singapore All Time Money List.

Biography & Poker Background
Originally from Singapore, Tan has focused his professional trajectory on the burgeoning Southeast Asian market, frequently traveling to major poker hubs like Manila, Ho Chi Minh, and Taipei. His recorded tournament history dates back to 2016, showing a dedicated approach to climbing the regional ranks. He has become a familiar face at PokerStars LIVE Manila at Okada Manila, often competing in technical structures such as Double Stack, Six Max, and Hyper Turbo events.
Play Style & Strategy
Tan is recognized for a resilient and adaptable play style, particularly excelling in the high-pressure environment of large-field No Limit Hold’em tournaments. His ability to navigate deep into championship fields, evidenced by his runs in the APT Main Event and Manila Megastack, demonstrates strong tactical patience and a deep understanding of regional tournament dynamics. Known for his proficiency in fast-paced formats, he effectively balances the technical requirements of Deep Stack play with the aggressive decision-making necessary for Turbo and Hyper Turbo structures.















