Jslaby – A Journey of Steady Ascent in Chess
From his modest beginnings to his current impressive ratings, JSlaby’s chess career has been a story of relentless improvement and tactical acumen. In 2014 his bullet performance began at a humble 1364, and over the years he has steadily climbed the ratings ladder – reaching bullet 2431, blitz 2670, and even launching into rapid play with a rating of 2017 by 2025. These gains over time reflect a player who adapts seamlessly between different time controls and rigorously refines his game.
Not only does JSlaby invest in his opening and middlegame strategies, but his game‐long commitment is evident in an exceptional endgame frequency of more than 80%. With an average winning game extending into the mid‑70s in moves, and a low early resignation rate of just 1.17%, JSlaby shows remarkable perseverance. His tactical awareness comes to the forefront with a staggering 90% comeback rate and an even more impressive 100% win rate even after being down a piece – a testament to his resourcefulness and resiliency on the board.
The player’s performance remains consistent across the week and even by the hour. With win rates oscillating around 47–50% regardless of the time of day or day of week, JSlaby’s balanced approach demonstrates steady concentration and mental fortitude. His match‐ups against some of his most frequent adversaries are as instructive as they are challenging, revealing a keen analytical mind that adapts to both familiar and new opponents alike.
Overall, JSlaby’s steady upward trajectory, combined with a robust tactical sensibility and a calm psychological profile (with a tilt factor of only 16), paints the picture of a chess player who is continuously refining his craft. This commitment to improvement and the ability to perform under pressure not only narrate a successful journey so far but also promise exciting developments in the competitive chess arena.
What You're Doing Well
Jerzy, your recent bullet games show several strengths worth highlighting:
- Active Play and Initiative: You often seize the initiative early, as seen in your recent win where you pushed your pawns aggressively and created attacking chances by challenging your opponent's king safety.
- Solid Opening Choices: You consistently rely on reputable openings like the Indian Game, Sicilian Defense, and variations of d4 and e4 openings, demonstrating sound opening preparation and understanding.
- Good Conversion of Advantages: Your games show good technique in converting material or positional advantages into wins, for example trading queens at the right moment and increasing pressure effectively.
- Time Management under Pressure: Bullet games demand quick decision-making, and you manage your clock quite well to maintain pressure and avoid time trouble until critical moments.
- Overall Balanced Performance: Your strength adjusted win rate is just under 50%, which is strong in bullet given the speed and volatility. Your rating trend has mostly positive slopes in recent months indicating growth in skill.
Areas to Improve
To continue growing and strengthen your bullet performance, consider focusing on these aspects:
- Endgame Precision: Some recent losses stem from subtle inaccuracies in the endgame. Practicing typical endgame patterns and techniques will help you convert advantages more reliably and save difficult positions.
- Defensive Awareness: In fast games, small defensive slips can be costly. Reviewing key moments where your opponent gained counterplay or attacked weaknesses could help you prevent those chances.
- Opening Variety and Surprises: Although your openings are solid, incorporating occasional surprise lines or traps could give you easier wins by catching opponents off guard in bullet.
- Consistent Rating Stability: Your 6-month trend shows setbacks. Focus on consistency and avoid unnecessary risks in bullet, where volatility is high. Building streaks of solid games rather than all-or-nothing play will help your rating rebound.
- Time Allocation to Critical Moments: Try to allocate a few extra seconds on complex positions or when launching an attack. This small investment can avoid blunders and improve your overall game quality.
Next Steps
Here are some actionable suggestions to incorporate into your training and gameplay:
- Study high-level bullet games in openings you play to learn typical attacking and defensive motifs.
- Practice tactical puzzles focused on quick calculation and spotting threats to sharpen your bullet vision.
- Set aside time for endgame drills, such as king and pawn endings or rook endings, to improve your conversion rate.
- Analyze your recent losses to identify recurring errors, then target those areas with focused practice.
- During bullet sessions, consciously manage your time, prioritizing tricky moments and staying calm under pressure.
Motivational Note
Your progress trend shows that you are improving steadily despite some fluctuations. Keep learning and refining your skills—bullet chess is very challenging, but with your consistent effort, your rating and gameplay will continue to rise. Stay focused and enjoy the journey!
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Yasel Borges | 2W / 3L / 1D | |
| Bence Szabó | 4W / 7L / 1D | |
| 10secondsdemon | 1W / 1L / 0D | |
| javicio | 22W / 31L / 3D | |
| kodangyeulam | 2W / 2L / 1D | |
| tranngocminhduy2009 | 4W / 5L / 0D | |
| fafischer | 2W / 0L / 0D | |
| playtowin2020 | 3W / 1L / 0D | |
| xxreformed | 5W / 2L / 0D | |
| selimitx7 | 3W / 2L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| Anselm Wagner | 66W / 104L / 15D | |
| gamayevoleg | 58W / 67L / 13D | |
| Never_walk_alone | 58W / 70L / 6D | |
| Leo Bispo | 57W / 64L / 8D | |
| allexo | 40W / 69L / 2D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2728 | 2705 | 2017 | |
| 2024 | 2210 | 2666 | ||
| 2023 | 2308 | 2430 | ||
| 2022 | 2157 | 2527 | ||
| 2021 | 2304 | 2488 | ||
| 2020 | 2244 | 2332 | ||
| 2019 | 2255 | 2424 | ||
| 2014 | 1364 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 1928W / 1977L / 321D | 1697W / 2128L / 392D | 81.8 |
| 2024 | 1674W / 1688L / 214D | 1516W / 1826L / 227D | 77.0 |
| 2023 | 2444W / 2588L / 241D | 2339W / 2654L / 236D | 74.1 |
| 2022 | 3735W / 3414L / 288D | 3459W / 3568L / 320D | 74.0 |
| 2021 | 2682W / 2269L / 158D | 2504W / 2402L / 160D | 71.3 |
| 2020 | 2827W / 2555L / 291D | 2627W / 2763L / 285D | 75.8 |
| 2019 | 1312W / 1230L / 133D | 1239W / 1301L / 149D | 77.0 |
| 2014 | 1W / 0L / 0D | 0W / 0L / 0D | 49.0 |
Openings: Most Played
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 2688 | 1290 | 1256 | 142 | 48.0% |
| Amar Gambit | 2610 | 1238 | 1283 | 89 | 47.4% |
| Modern | 2400 | 1166 | 1151 | 83 | 48.6% |
| Czech Defense | 2202 | 1099 | 1022 | 81 | 49.9% |
| Sicilian Defense: Closed | 2162 | 1105 | 978 | 79 | 51.1% |
| Australian Defense | 1955 | 943 | 930 | 82 | 48.2% |
| Nimzo-Larsen Attack | 1892 | 896 | 929 | 67 | 47.4% |
| London System: Poisoned Pawn Variation | 1557 | 717 | 750 | 90 | 46.0% |
| Colle System: Rhamphorhynchus Variation | 1545 | 730 | 757 | 58 | 47.2% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 1470 | 683 | 720 | 67 | 46.5% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 1351 | 571 | 663 | 117 | 42.3% |
| Modern | 828 | 354 | 418 | 56 | 42.8% |
| Amazon Attack: Siberian Attack | 699 | 308 | 339 | 52 | 44.1% |
| Sicilian Defense: Closed | 468 | 214 | 213 | 41 | 45.7% |
| London System: Poisoned Pawn Variation | 454 | 182 | 214 | 58 | 40.1% |
| Czech Defense | 326 | 180 | 118 | 28 | 55.2% |
| Caro-Kann Defense: Exchange Variation | 310 | 115 | 162 | 33 | 37.1% |
| Amazon Attack | 273 | 116 | 131 | 26 | 42.5% |
| English Opening: Caro-Kann Defensive System | 269 | 108 | 128 | 33 | 40.1% |
| Slav Defense: Alekhine Variation | 267 | 109 | 128 | 30 | 40.8% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Sicilian Defense: Closed, Anti-Sveshnikov Variation, Kharlov-Kramnik Line | 1 | 1 | 0 | 0 | 100.0% |
| Slav Defense: Bonet Gambit | 1 | 1 | 0 | 0 | 100.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 24 | 2 |
| Losing | 16 | 0 |