Avatar of Ranindu Dilshan Liyanage

Ranindu Dilshan Liyanage IM

Username: Ranindu2003

Playing Since: 2020-02-06 (Active)

Wow Factor: ♟♟♟♟♟

Chess.com

Rapid: 2355
99W / 61L / 31D
Blitz: 2813
4609W / 4382L / 601D
Bullet: 2628
857W / 906L / 91D

Ranindu Dilshan Liyanage - International Master

Better known in the chess cosmos as Ranindu2003, this International Master has been a force to reckon with across blitz, rapid, and bullet formats. With a blitz rating soaring as high as 2932 in 2025 and a bullet peak of 2744, they effortlessly juggle lightning-fast moves and strategic battles that last for minutes on end.

From Pawns to Powerhouses

Ranindu’s chess odyssey is peppered with thousands of games, showcasing a relentless quest for victory and an impressive tactical flair. Their approach could be distilled into two words: calculated chaos. Whether fiercely defending or launching surprise attacks, their chessboard antics keep opponents on their toes.

Style & Strategy

  • Endgames: Ranindu embraces the endgame like a true gladiator, diving deep into complex positions more than 80% of their games.
  • Tactical Genius: A staggering 99% win rate after losing a piece — because who doesn’t love a dramatic comeback?
  • Stamina: Matches often stretch close to 80 moves on average before sealing the fate of kings and queens alike.
  • Psychology: Tilt? Just 10 on a 100-point scale — Ranindu keeps calm under fire, though the world of casual games might bring a slight sting.

A Life in Numbers

With over 4,400 wins in blitz alone, our master has tangled with hundreds of opponents, some more frequently than others. Their longest winning streak? Ten games straight — a veritable chess marathon!

When Are They Most Dangerous?

Win rates peak when the clock strikes afternoon and evening, especially between 15:00 and 21:00 hours, featuring jaw-dropping success rates above 50%, hitting an electrifying 54% around 19:00 and 21:00. Clearly, Ranindu is the queen (or king) of the prime time chess arena.

Fun Fact

Despite their fierce competitive nature, Ranindu’s early resignation rate is a mere 1.75% — so don't expect them to quit even if things look grim. They’re here to fight 'til the very last pawn falls!

In the wild realm of 64 squares, Ranindu Dilshan Liyanage is not just playing the game, they're rewriting the script—one blitz bullet at a time.


Coach Chesswick's Profile Photo
Coach Chesswick

Recent games: quick takeaway

Ranindu, in your most recent rapid win as White, you entered sharp, tactical lines with confident piece activity and kept the initiative throughout the middlegame. Your rooks and queen coordinated well on open files, and you finished with a clean conversion. This shows you have good calculation and willingness to seize dynamic chances.

  • Strengths observed: active piece play, readiness to enter tactical sequences, and ability to convert pressure into a decisive finish.
  • Next steps: continue hunting forcing lines when the opponent’s king is exposed, and aim to translate every tempo into a concrete plan (opening a file, exchanging into an advantageous endgame, or winning a pawn).

Recent game where you faced difficulties

In the recent rapid loss, the game developed into a challenging middlegame where the opponent gradually gained the upper hand. Key takeaways include ensuring solid development and king safety early, being mindful of tactical counterplay, and avoiding over-extension before your pieces are fully coordinated.

  • Practical improvements: focus on stable piece development, keep the king safer through timely castling, and maintain a clear plan after exchanges rather than chasing immediate tactics.
  • Actionable steps: practice 1-2 defensive puzzle themes per week (how to hold when under pressure) and study a few model games with similar structures to learn common plans for that setup.

Opening choices and planning

Your results suggest you handle dynamic, tactical openings well (for example, Sicilian variations and aggressive setups). Some other choices like the English Agincourt and Caro-Kann variants can require a more concrete middlegame plan to avoid passive positions. Aim to build a compact repertoire around a few reliable systems.

  • Deepen understanding of 2-3 opening setups and the typical middlegame plans they lead to.
  • Create a concise repertoire cheat-sheet with common pawn structures, key squares, and typical piece placements to consult during games.
  • Reading resources to study (as placeholders for in-app links): Sicilian Defense: Closed, Amazon Attack

Endgames and conversion

You’ve shown potential to convert in rook- and queen-endings when you keep activity and king centralization. Strengthen your endgame technique to convert slight advantages more reliably and avoid unnecessary simplifications that can lead to drawn or losing endings.

  • Exercises: practice rook endings with realistic pawn structures (10–15 minutes, 3 times a week).
  • Study 1-2 model endgames per week and note a key principle from each (activate the king, use the opposition, avoid passive rook placements).

Time management and consistency

Clock discipline matters in rapid. Build a simple, repeatable process to allocate time for critical moments and avoid last-minute decisions. Use incremental time to your advantage and keep a steady pace in the early middlegame to prevent time pressure later.

Actionable practice plan

  • Openings: commit to 2-3 core lines (e.g., Sicilian Closed and Amazon Attack) for the next 4 weeks; only branch out if you have a clear, practical plan for the new line.
  • Tactics: practise 15–20 puzzles daily focusing on patterns like forks, pins, skewers, and discovered attacks.
  • Endgames: allocate 2 sessions per week to rook endings and 1 session to queen endings; replay annotated endgames to extract key ideas.
  • Post-match reflections: after every game, write one concrete improvement and one mistake to reinforce learning.

Stay connected

For quick reference to your profile and games, you can check your recent activity here: ranindu%20dilshan%20liyanage



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Rating

Year Bullet Blitz Rapid Daily
2025 2628 2813
2024 2650 2780 2355
2023 2661 2707 2388
2022 2672 2645 2332
2021 2612 2654 2162
2020 2571 2604 2199
Rating by Year20202021202220232024202528132162YearRatingBulletBlitzRapid

Stats by Year

Year White Black Moves
2025 315W / 309L / 52D 309W / 320L / 40D 75.6
2024 202W / 184L / 22D 189W / 199L / 21D 79.3
2023 583W / 497L / 92D 512W / 573L / 76D 81.2
2022 452W / 383L / 63D 421W / 441L / 54D 81.6
2021 648W / 566L / 76D 610W / 595L / 71D 81.8
2020 757W / 647L / 97D 698W / 718L / 73D 79.6

Openings: Most Played

Blitz Opening Games Wins Losses Draws Win Rate
Caro-Kann Defense 394 197 175 22 50.0%
Modern 387 217 150 20 56.1%
Sicilian Defense: Najdorf Variation 358 165 178 15 46.1%
English Opening: Agincourt Defense 286 147 122 17 51.4%
Amazon Attack 282 144 120 18 51.1%
Amazon Attack: Siberian Attack 253 114 121 18 45.1%
Sicilian Defense: Closed 252 120 116 16 47.6%
London System: Poisoned Pawn Variation 213 87 108 18 40.9%
Giuoco Piano: Tarrasch Variation 210 118 79 13 56.2%
Unknown 183 107 74 2 58.5%
Rapid Opening Games Wins Losses Draws Win Rate
Sicilian Defense: Closed 14 9 3 2 64.3%
Caro-Kann Defense 10 6 2 2 60.0%
English Opening: Agincourt Defense 9 4 3 2 44.4%
Sicilian Defense: Najdorf Variation 9 5 3 1 55.6%
French Defense: Exchange Variation 7 2 3 2 28.6%
Amazon Attack 6 4 2 0 66.7%
French Defense: Tarrasch Variation, Chistyakov Defense 6 1 2 3 16.7%
Ruy Lopez: Morphy Defense, Anderssen Variation 5 1 3 1 20.0%
Blackburne Shilling Gambit 5 1 3 1 20.0%
Modern 5 4 1 0 80.0%
Bullet Opening Games Wins Losses Draws Win Rate
Modern 283 127 142 14 44.9%
Colle System: Rhamphorhynchus Variation 75 31 40 4 41.3%
Amar Gambit 72 35 34 3 48.6%
Nimzo-Larsen Attack 63 32 25 6 50.8%
Amazon Attack: Siberian Attack 61 28 30 3 45.9%
Hungarian Opening: Wiedenhagen-Beta Gambit 60 26 31 3 43.3%
Amazon Attack 60 32 25 3 53.3%
Caro-Kann Defense 58 29 26 3 50.0%
Alekhine Defense 53 25 24 4 47.2%
London System: Poisoned Pawn Variation 45 23 19 3 51.1%

🔥 Streaks

Streak Longest Current
Winning 11 1
Losing 10 0
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