Profile Summary: Sumeet Singh
Meet Sumeet Singh, a chess enthusiast who has cultivated a resilient and strategic mind, much like a well-adapted organism thriving in a highly competitive ecosystem. With a peak rapid rating touching 1382 in 2020 and a solid blitz record, Sumeet’s game has evolved over time—sometimes shedding rating points like molting a chrysalis, only to emerge stronger and more cunning on the next board.
Known in the chess biosphere under the username sumeet_sandhu, Sumeet demonstrates a fascinating “tactical awareness metabolism”: a 76.3% comeback rate and a 100% win rate after losing a piece — talk about cellular regeneration in chess form! His endgame frequency is a biological 50.39%, showing he’s as comfortable in the late strategic “growth phase” as during the sharp opening “germination.”
Sumeet favors diverse openings, with a particular affinity for the Philidor Defense, Bishops Opening, and the King's Pawn Opening, boasting win rates around 43-55%, which is like having multiple survival strategies in his genetic coding. His white pieces are like chloroplasts capturing maximum energy with a win rate of 52.77%, whereas his black pieces provide a sturdy, defensive root system winning 45.98% of games.
This player's psychological resilience is notable, exhibiting a low tilt factor of 9 and a mild early resignation rate of ~12%, indicating Sumeet maintains composure under pressure—an evolved defense against the stress of battle. Interestingly, his average moves per win hover around 65, showcasing slow but steady cellular replication, while losses are shorter at about 43 moves, akin to rapid apoptosis to conserve resources for the next match.
When it comes to timing, Sumeet’s peak activity hours (akin to diurnal rhythm peak efficiency) are between early morning and mid-afternoon, with a remarkable 61.11% win rate around 5 AM. Whether it’s the dawn of a new day or the dusk of a tense game, this player’s stamina and focus persist, proving that even in the microscopic world of tactical skirmishes, endurance matters.
Opponents beware: Sumeet’s evolutionary advantage lies in adaptability, analysed from encounters with a variety of adversaries—some with 100% win rates against him, some where he’s the dominant predator. Yet with a longest winning streak of 12 games, he proves that when conditions are right, Sumeet’s strategy is primed for exponential growth.
In sum, Sumeet Singh is a fascinating organism in the vast forest of chess players—a true blend of patience, strategy, and aggressive biological chess instincts. Watch carefully: his next move might just be the evolutionary leap in the game’s endless natural selection.
Overall Positive Aspects
Sumeet, your recent rapid games show several strengths worth noting:
- You demonstrate good tactical awareness, capitalizing on opponent mistakes, especially in complex middlegame positions.
- Your ability to convert winning positions into full points is evident, as seen in multiple victory by resignation and checkmate in your recent games.
- You show strong endgame technique, often advancing passed pawns and creating decisive threats effectively, which helped secure wins.
- Your opening repertoire is varied and stable — you often play solid but attacking setups such as the Philidor Defense and Queen’s Pawn Openings.
- Rating trends over 6 and 12 months show a solid upward trajectory indicating consistent improvement.
Areas for Improvement
To continue advancing your game, here are some targeted points to work on:
- Opening Play: Your Philidor Defense shows a win rate below 44%. Consider reviewing mainline theory and typical plans in this opening to reduce losses and increase overall performance.
- Middle Game Decision-Making: In your recent loss, an early queen and bishop coordination by the opponent exploited some weak spots. Work on pattern recognition and identifying tactical motifs to avoid falling into traps.
- Handling Pressure: The recent slumps in short-term rating trends suggest some inconsistency possibly caused by time pressure or psychological factors. Practice playing with increment and manage your clock better to avoid rushed mistakes.
- Endgame Accuracy: Although you have strength here, refining knowledge of common endgame structures (e.g., rook endgames, passed pawn technique) can further increase your conversion rate.
Specific Recommendations
- Spend time studying the Philidor Defense and typical plans, focusing on pawn breaks and piece activity.
- Analyze your losses deeply, especially positions where opponent won material or created lasting pressure, to identify recurring weaknesses.
- Use training tools like tactics trainers daily to sharpen calculation and spotting combinations faster.
- Review your opening move orders carefully to prevent giving opponent easy equality or initiative.
- Practice visualization and calculation exercises to boost confidence in complicated positions.
- Make a habit of post-game review to learn from mistakes and reinforce good patterns.
Next Steps
Keep up your positive momentum with focused training on these areas, and don’t get discouraged by short-term rating swings. Your long term trend is upwards, which is a great sign of real progress.
Feel free to share specific positions or questions from your games for more detailed advice.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| 07mathy | 0W / 1L / 0D | View |
| albertobaionemyvt | 1W / 0L / 0D | View |
| mightypoo420 | 0W / 1L / 0D | View |
| hermesmalawi | 1W / 0L / 0D | View |
| sir_whiskers | 1W / 0L / 0D | View |
| eh2800 | 1W / 0L / 0D | View |
| mgiere23 | 0W / 1L / 0D | View |
| nmboy24 | 0W / 1L / 0D | View |
| joncqnt | 0W / 1L / 0D | View |
| isaacroa1 | 1W / 0L / 0D | View |
| Most Played Opponents | ||
|---|---|---|
| gautamab | 10W / 0L / 0D | View Games |
| amarnathvanam | 6W / 2L / 0D | View Games |
| francissabarillo | 6W / 0L / 1D | View Games |
| pranikp | 6W / 1L / 0D | View Games |
| themalefactor | 5W / 0L / 1D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 1065 | 1011 | ||
| 2024 | 876 | |||
| 2023 | 986 | |||
| 2022 | 930 | |||
| 2021 | 941 | |||
| 2020 | 1238 | 1288 | 1190 | |
| 2019 | 1299 | 1259 | ||
| 2018 | 1126 | 1269 | 1190 | |
| 2017 | 1254 | |||
| 2016 | 1218 | 1140 | ||
| 2015 | 1230 | 1319 | 1089 | |
| 2014 | 1301 | |||
| 2012 | 1209 | |||
| 2011 | 1256 | 1200 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 418W / 393L / 15D | 400W / 411L / 12D | 59.9 |
| 2024 | 227W / 189L / 5D | 185W / 232L / 4D | 54.0 |
| 2023 | 152W / 116L / 5D | 124W / 148L / 1D | 54.7 |
| 2022 | 62W / 56L / 1D | 51W / 60L / 4D | 54.8 |
| 2021 | 132W / 135L / 3D | 114W / 153L / 4D | 49.1 |
| 2020 | 232W / 208L / 9D | 223W / 229L / 7D | 58.3 |
| 2019 | 222W / 170L / 10D | 186W / 213L / 6D | 54.9 |
| 2018 | 149W / 136L / 10D | 147W / 139L / 10D | 56.8 |
| 2017 | 2W / 1L / 0D | 2W / 1L / 0D | 47.8 |
| 2016 | 104W / 108L / 2D | 101W / 107L / 4D | 53.1 |
| 2015 | 117W / 89L / 7D | 88W / 117L / 4D | 60.4 |
| 2014 | 4W / 2L / 1D | 5W / 5L / 0D | 71.7 |
| 2012 | 0W / 1L / 0D | 0W / 0L / 0D | 36.0 |
| 2011 | 3W / 5L / 0D | 3W / 2L / 0D | 71.0 |
Openings: Most Played
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Philidor Defense | 1119 | 481 | 619 | 19 | 43.0% |
| Barnes Opening: Walkerling | 551 | 291 | 250 | 10 | 52.8% |
| Bishop's Opening | 522 | 280 | 238 | 4 | 53.6% |
| London System: Poisoned Pawn Variation | 411 | 196 | 208 | 7 | 47.7% |
| Amazon Attack | 379 | 202 | 170 | 7 | 53.3% |
| Blackburne Shilling Gambit | 372 | 206 | 161 | 5 | 55.4% |
| Bishop's Opening: 3.d3 | 370 | 178 | 188 | 4 | 48.1% |
| Amar Gambit | 226 | 120 | 103 | 3 | 53.1% |
| Barnes Defense | 201 | 116 | 78 | 7 | 57.7% |
| Sicilian Defense | 172 | 76 | 92 | 4 | 44.2% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Barnes Opening: Walkerling | 2 | 1 | 1 | 0 | 50.0% |
| Elephant Gambit | 2 | 1 | 1 | 0 | 50.0% |
| London System: Poisoned Pawn Variation | 1 | 0 | 1 | 0 | 0.0% |
| Ruy Lopez: Old Steinitz Defense, Semi-Duras Variation | 1 | 0 | 1 | 0 | 0.0% |
| Amazon Attack | 1 | 0 | 0 | 1 | 0.0% |
| Center Game: Berger Variation | 1 | 0 | 1 | 0 | 0.0% |
| Italian Game: Two Knights Defense, Fegatello Attack, Leonhardt Variation | 1 | 1 | 0 | 0 | 100.0% |
| Dutch Defense | 1 | 0 | 1 | 0 | 0.0% |
| Amar Gambit | 1 | 0 | 1 | 0 | 0.0% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Philidor Defense | 2 | 2 | 0 | 0 | 100.0% |
| Czech Defense | 1 | 0 | 1 | 0 | 0.0% |
| Caro-Kann Defense | 1 | 1 | 0 | 0 | 100.0% |
| Modern Defense: Pterodactyl Variation | 1 | 0 | 1 | 0 | 0.0% |
| Ruy Lopez: Old Steinitz Defense, Semi-Duras Variation | 1 | 1 | 0 | 0 | 100.0% |
| Amar Gambit | 1 | 1 | 0 | 0 | 100.0% |
| Barnes Opening: Walkerling | 1 | 0 | 1 | 0 | 0.0% |
| Amazon Attack | 1 | 0 | 0 | 1 | 0.0% |
| Center Game | 1 | 0 | 1 | 0 | 0.0% |
| Australian Defense | 1 | 1 | 0 | 0 | 100.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 13 | 0 |
| Losing | 10 | 1 |