Biography
Yash Laddha, known online as yashcore, is a rising chess talent who thrives on brisk blitz battles and the patient dance of endgames. They earned the Candidate Master title from FIDE, a badge that marks them as a serious competitor on the global stage. With a quick wit at the board and a calm clock hand, they turn tight moments into opportunities and jokes into practice partners.
Career Highlights
Blitz is their preferred battlefield, where speed and precision meet. Their peak Blitz rating reached 2470 on 2025-01-28, a milestone that sits alongside steady progress through late 2024 and 2025. By 2025 they were competing in the mid-2300s, reflecting growth from the previous year. They keep a light touch about losses, choosing to learn from every move as the clock ticks down.
For a quick glimpse of their journey, see their profile and a compact chart of activity: Yash Laddha
.Opening Repertoire & Notable Games
Yash explores a wide opening spectrum in Blitz, with several recurrent choices showing practical results:
- Caro-Kann Defense: Exchange Variation — 5 games, 2 wins, 3 losses, 0 draws (40% win rate).
- Sicilian Defense: Four Knights Variation, Cobra Variation — 4 games, 2 wins, 1 loss, 1 draw (50% win rate).
- Slav Defense — 2 games, 2 wins, 0 losses, 0 draws (100% win rate).
- Four Knights Game — 3 games, 0 wins, 3 losses, 0 draws (0% win rate).
- Queen's Gambit Declined: Hastings Variation — 2 games, 1 win, 1 loss (50% win rate).
- Bullet practice includes a Sicilian Closed line with promising results in a single game (100% win rate in that sample).
Profile & Quick Facts
- Time control preference: Blitz.
- Title: Candidate Master (FIDE).
- Peak Blitz rating: 2470 (2025-01-28).
- Endgame frequency: high; games often enter lengthy endgames.
- Longest winning streak: 3; Longest losing streak: 5.
- Most played opponents include dosto07, res128, alph-lyla-w-lyla, and carokann-player33815.
For a compact snapshot, you can explore their yearly PGN highlights and deep dives in the profile link above or check their endgame-centric approach and comeback strengths in the time-based performance notes. Yash Laddha