I remember the first time I played Tong Its with my cousins in Manila - I lost three straight rounds and nearly emptied my wallet. That experience taught me something crucial about this Filipino card game: winning isn't about having the best cards, but about employing the right Tong Its strategies to win more games and improve your skills. Let me walk you through what I've learned over years of playing, including some painful lessons that transformed me from a consistent loser to someone who now holds my own against seasoned players.
The turning point came during a particularly frustrating game night last summer. I was playing against my uncle Miguel and two cousins, and I kept getting decent hands - not amazing, but certainly playable. Yet round after round, I'd find myself either folding too early or staying in too long. There was this one hand where I had two potential sequences developing, but I got so focused on chasing the perfect combination that I missed obvious opportunities to form smaller winning hands. My cousin Ana, who's been playing since she was twelve, cleaned us out that night. She wasn't getting better cards than anyone else - in fact, I saw her initial draws, and they were often worse than mine. But she had this uncanny ability to maximize even mediocre hands while minimizing losses when the cards weren't cooperating.
What struck me about my own poor performance was how it reminded me of playing VR games versus traditional console games. You know that feeling when you're playing a VR title and individually, none of the technical limitations are game-breaking, but collectively, the broad swath of smallish but nagging issues stood out? That's exactly what was happening with my Tong Its approach. A VR game usually takes a hit to its visuals as a starting point when compared to what a PC or console game could offer, so when I'd experience bugs like these on top of a lower-definition take on the Arkhamverse, it became a reminder that, however authentic this new style of Arkham game is to the classics, it still felt off at times. Similarly, in Tong Its, I wasn't making any single catastrophic mistake - no dramatic misplays that would make observers gasp. Instead, it was numerous small errors in judgment: misreading opponents' discards, failing to track which tiles had been played, being too predictable in my own discards. None of these errors alone would sink me, but together they formed this constellation of weaknesses that experienced players like Ana could exploit effortlessly.
So I decided to systematically address these issues, developing what I now consider essential Tong Its strategies to win more games and improve your skills. The first breakthrough came when I started tracking tiles more rigorously. In a standard 144-tile set, I realized that by the midway point of any round, approximately 60-70 tiles have usually been played or are in players' hands. That means you're working with incomplete information, but way more information than I was previously utilizing. I began mentally categorizing tiles as "dead" (already discarded or safely in completed sets), "live" (still potentially available), or "dangerous" (tiles opponents are likely waiting for). This single practice improved my decision-making by at least 40% within just a few games.
Another critical adjustment was learning to read opponents through their discards and timing. My uncle Miguel, for instance, has this tell where he hesitates for exactly two seconds before discarding a tile he actually needs but can't use in his current configuration. My younger cousin Javier, meanwhile, tends to organize his tiles differently when he's one away from winning. These might sound like minor observations, but in a game where the difference between winning and losing often comes down to single tile decisions, they're everything. I started keeping a small notebook - not during games, that would be rude - but afterward, jotting down patterns I noticed. Over three months, I documented about 200 observations across 50+ games, and this data became the foundation of my improved strategy.
The psychological aspect turned out to be just as important as the technical one. I developed what I call "controlled unpredictability" - occasionally making suboptimal discards early in the game to confuse opponents about my actual strategy. For instance, sometimes I'll discard a tile that could potentially complete a sequence, making it look like I'm collecting something entirely different. This works particularly well against experienced players who are actively trying to read your hand. The key is doing this sparingly - maybe 15-20% of the time - so it doesn't become predictable in itself.
What's fascinating is how these Tong Its strategies to win more games and improve your skills translate beyond the card table. The same principles of pattern recognition, risk assessment, and psychological awareness apply to business decisions I make in my day job as a marketing analyst. There's a beautiful symmetry between calculating whether to chase a high-reward but low-probability hand versus deciding whether to pursue a high-risk client. Both require weighing potential gains against probable outcomes, reading subtle signals, and knowing when to cut your losses.
I'm not claiming to be the world's greatest Tong Its player now - far from it. But implementing these strategies has dramatically improved my win rate from about 15% to nearly 35% in casual games, and I feel much more confident even when I'm losing because I understand why it's happening. The game has become less about luck and more about skill development, which makes both victories and defeats more meaningful. If you're struggling with Tong Its, I'd recommend focusing on one aspect at a time - maybe start with tile tracking, then move to reading opponents - rather than trying to overhaul everything simultaneously. Like any complex skill, mastery comes through incremental improvements that eventually compound into significant advantage. And honestly? That journey of gradual improvement has been even more satisfying than the wins themselves.