Overview
Sankalan Shah (roaring_lion23) is a Candidate Master (CM) known for a ferocious Blitz appetite and a taste for sharp, tactical battles. A veteran of thousands of online games, Sankalan blends deep endgame play with sudden, inventive attacks — the kind of player who will laugh, sac a pawn, then win in 40 moves. SEO keywords: Sankalan Shah, Candidate Master, Blitz chess, Amar Gambit, Caro-Kann, Ruy Lopez.
- Title: Candidate Master (FIDE)
- Username: roaring_lion23
- Preferred time control: Blitz (fast, furious, and fun)
- Notable traits: high Endgame Frequency, strong Comeback Rate
Career highlights
Sankalan's online career is marked by big swings and big streaks — a player who can rack up long winning runs and bounce back from tough spells. They peaked in Blitz play in recent seasons and have an eye for dynamic, opening-phase complications.
- Longest winning streak: 25 games — proof that when the gears are turning, they really turn.
- Current winning streak: 5 games and counting.
- Remarkable comeback ability: Comeback Rate ~80% — losing a piece is often just the start of the story.
- Peak (Blitz) indicator: 2422 (2025-09-10)
Playing style & strengths
Sankalan is a tactical, enterprising player who often takes games deep — comfortable in complex middlegames and patient in endgames.
- Endgame Frequency: 71.23% — they reach endgames more often than most.
- Average moves per win: ~71.6 moves — don't expect quick resignations.
- Average first capture move: around move 8 — likes to develop before committing.
- Tactical resilience: Win Rate After Losing Piece ~44.65% and low One-Sided Loss Rate (~10.66%).
Memorable openings & repertoire (Blitz focus)
While versatile, Sankalan shows clear preferences in Blitz. They mix mainstream systems with surprise gambits to keep opponents off-balance.
- Amar Gambit — frequent and dangerous in Blitz (strong win presence).
- Caro-Kann Defense — a dependable choice with solid results.
- Amazon Attack / Siberian Attack — appears often and scores respectably.
- London System (Poisoned Pawn) and Colle System variations — used regularly as flexible systems.
Explore common themes: Amar Gambit • Caro-Kann Defense • Ruy Lopez
Quick illustrative Blitz mini-combat (example PGN):
Records, opponents & time performance
Sankalan has faced many opponents repeatedly online and has clear windows of peak performance during the day.
- Most-played opponents include: Ankit Ray (149 games), alekhya2007 (92), soham0705 (70).
- Strongest hours: late night / early morning spikes (notably hour "0" shows high win rate), and solid evening performance (hours 19–22).
- Best weekday win rates: Friday and Monday are standout days.
Streaks, psychology & habits
Sankalan is mentally tough but human — they tilt occasionally, recover impressively, and sometimes resign early when the coffee runs out.
- Longest losing streak: 13 games. TiltFactor: 13 (manageable, and often temporary).
- Early resignation rate: ~9.7% — prefers to fight but knows when to cut losses.
- Rated vs casual difference: +10.8% — takes rated play seriously.
Fun facts & training notes
Short, playful facts to know before you sit across from Sankalan online:
- They love gambits — especially the Amar Gambit; bring your calculators and a steady hand.
- Average decisive game length has been in the ~50–75 move range in recent years — expect marathons, not bullet blips (unless it’s Blitz).
- Training focus suggestions: sharpen tactical vision, study Caro-Kann endgames, and practice time management in critical positions.
Interactive & placeholders
Visualize the recent Blitz trajectory or open a quick replay. These placeholders enrich the profile in the viewer:
- Recent Blitz rating trend:
- Peak Blitz marker: 2422 (2025-09-10)
- Sample tactical game (replay):
🆚 Opponent Insights
| Most Played Opponents | ||
|---|---|---|
| amitroy1 | 46W / 81L / 22D | View Games |
| alekhya2007 | 24W / 60L / 8D | View Games |
| Soham Bhattacharyya | 5W / 63L / 2D | View Games |
| shresthmah | 19W / 20L / 0D | View Games |
| the_risk_taker100 | 13W / 17L / 7D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2005 | 2422 | 1793 | 1302 |
| 2024 | 2153 | 1438 | 1786 | 1312 |
| 2023 | 2164 | 2231 | 1786 | 1237 |
| 2022 | 2109 | 2185 | 1447 | |
| 2021 | 2127 | 2100 | 1786 | |
| 2020 | 1975 | 1854 | 1790 | 1437 |
| 2019 | 1625 | 2012 | 1581 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 102W / 87L / 6D | 77W / 92L / 13D | 56.5 |
| 2024 | 28W / 32L / 3D | 29W / 33L / 2D | 56.3 |
| 2023 | 98W / 80L / 10D | 86W / 90L / 5D | 76.4 |
| 2022 | 96W / 98L / 10D | 99W / 93L / 7D | 74.9 |
| 2021 | 204W / 172L / 25D | 198W / 176L / 34D | 75.2 |
| 2020 | 307W / 343L / 47D | 292W / 365L / 53D | 70.6 |
| 2019 | 108W / 115L / 14D | 114W / 119L / 15D | 70.0 |
Openings: Most Played
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Ruy Lopez: Berlin Defense | 6 | 2 | 3 | 1 | 33.3% |
| Amazon Attack: Siberian Attack | 5 | 3 | 0 | 2 | 60.0% |
| Sicilian Defense | 4 | 3 | 1 | 0 | 75.0% |
| Bird Opening: Dutch Variation, Batavo Gambit | 3 | 2 | 0 | 1 | 66.7% |
| Amar Gambit | 3 | 2 | 1 | 0 | 66.7% |
| Nimzo-Indian Defense | 3 | 1 | 1 | 1 | 33.3% |
| Réti Opening | 3 | 0 | 0 | 3 | 0.0% |
| Caro-Kann Defense: Exchange Variation | 3 | 0 | 2 | 1 | 0.0% |
| Barnes Defense | 2 | 2 | 0 | 0 | 100.0% |
| Sicilian Defense: Alapin Variation | 2 | 1 | 1 | 0 | 50.0% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Unknown | 275 | 125 | 149 | 1 | 45.5% |
| Amazon Attack: Siberian Attack | 93 | 44 | 43 | 6 | 47.3% |
| Caro-Kann Defense | 68 | 34 | 31 | 3 | 50.0% |
| London System: Poisoned Pawn Variation | 57 | 24 | 25 | 8 | 42.1% |
| Colle System: Rhamphorhynchus Variation | 51 | 26 | 20 | 5 | 51.0% |
| Sicilian Defense | 50 | 18 | 28 | 4 | 36.0% |
| English Opening: Agincourt Defense | 49 | 20 | 25 | 4 | 40.8% |
| Australian Defense | 42 | 16 | 24 | 2 | 38.1% |
| Amar Gambit | 40 | 23 | 17 | 0 | 57.5% |
| Amazon Attack | 37 | 14 | 20 | 3 | 37.8% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 106 | 46 | 57 | 3 | 43.4% |
| Australian Defense | 78 | 37 | 36 | 5 | 47.4% |
| Caro-Kann Defense | 75 | 44 | 27 | 4 | 58.7% |
| Nimzo-Larsen Attack | 69 | 22 | 44 | 3 | 31.9% |
| Colle System: Rhamphorhynchus Variation | 53 | 22 | 29 | 2 | 41.5% |
| London System: Poisoned Pawn Variation | 43 | 21 | 20 | 2 | 48.8% |
| Döry Defense | 36 | 18 | 13 | 5 | 50.0% |
| Amazon Attack: Siberian Attack | 34 | 12 | 19 | 3 | 35.3% |
| Caro-Kann Defense: Exchange Variation | 34 | 19 | 14 | 1 | 55.9% |
| English Opening: Agincourt Defense | 30 | 16 | 13 | 1 | 53.3% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 2 | 2 | 0 | 0 | 100.0% |
| English Defense: Blumenfeld-Hiva Gambit | 2 | 2 | 0 | 0 | 100.0% |
| Unknown | 2 | 2 | 0 | 0 | 100.0% |
| Ruy Lopez: Berlin Defense | 1 | 1 | 0 | 0 | 100.0% |
| Caro-Kann Defense | 1 | 0 | 1 | 0 | 0.0% |
| Amazon Attack | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense: Alapin Variation | 1 | 1 | 0 | 0 | 100.0% |
| Ruy Lopez: Closed, Kecskemet Variation | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense: Chekhover Variation | 1 | 1 | 0 | 0 | 100.0% |
| Catalan Opening: Open Defense, Classical Line | 1 | 0 | 1 | 0 | 0.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 25 | 5 |
| Losing | 13 | 0 |