Julianos82: A Resilient Chess Competitor
Julianos82 is a seasoned chess player whose journey in the world of competitive chess spans several years and multiple formats. From blitz to rapid, and even the occasional daily game, his record showcases a consistent upward trend in performance. Beginning with a strong blitz rating in 2018 and steadily pushing towards impressive numbers over the years, his dedication is evident in his steadily rising scores—even as his bullet and rapid ratings reflect the diversity and intensity of his play.
Known for his meticulous endgame strategies and a remarkable ability to stage comebacks even when the odds aren’t in his favor, Julianos82 has developed a playing style that minimizes early resignations and maximizes resilience. His games are frequently long and thoughtfully played, averaging over 70 moves in wins and nearly 80 in losses, which speaks to his persistence in finding opportunities in complex endgame positions.
His tactical awareness is one of his standout qualities. With a comeback rate soaring above 86% and near-perfect win percentages when recovering from material deficits, he demonstrates a readiness to pivot and fight back even in challenging positions. This tactical adeptness is complemented by a measured tilt factor, indicating a calm, focused mindset in competitive scenarios.
Julianos82’s deep understanding of opening theory is also evident. Having experimented with a wide range of openings—from intricate lines in the Queens Gambit and Sicilian Defense to lesser-known gambits—he has honed an adaptable approach that has brought him both creative victories and valuable lessons across thousands of games.
Outside the strict numbers, his performance trends reveal an interesting human side. Adjusting his play to different times of the day and days of the week, his best results have come during moments of peak concentration, such as during the evenings or on quieter days. This adaptability, coupled with a keen psychological insight into the pressure of rated versus casual settings, has helped shape a balanced profile both on and off the board.
In summary, Julianos82 is more than just a set of numbers on a rating chart. He is a dedicated, tactically sharp, and psychologically astute competitor whose commitment to continuous improvement and versatile chess understanding marks him as a respected figure among his peers. His chess biography is one that speaks to the beauty of resilience and the art of the game itself.
Constructive Feedback for Iulian-Ioan Taras (Julianos82)
Strengths:
- Opening Preparation: Your choice of solid openings, such as the London System, Slav Defense, and Sicilian Katalimov Variation, shows good preparation and understanding of mainstream theory. You consistently develop your pieces harmoniously and control the center well.
- Attacking Play: In several games, you confidently execute attacking ideas, especially on the kingside, leading to decisive mates or resignations from your opponents. The games with well-timed sacrifices (like knight and rook maneuvers) demonstrate tactical alertness.
- Time Management: Your clock management across multiple games looks balanced, rarely falling into severe time trouble early. This gives you room to think through critical positions carefully.
Areas for Improvement:
- Endgame Technique: Some recent losses (e.g., the Old Indian Defense game against bamonson) suggest opportunities to work on technical endgame precision. Focus on improving king activity, pawn structure understanding, and converting small advantages.
- Handling Complicated Positions: In a few critical middlegame moments, you encountered pressure from your opponents that eventually led to disadvantageous positions. For example, in games with the English and Benoni openings, your position slipped due to slightly passive choices. Work on deepening calculation and positional evaluation in dynamically complex structures.
- Defensive Awareness: While your attacking is impressive, occasionally better defensive resources might save difficult positions. Practice spotting counterplay chances and improving resilience when under attack.
Suggestions for Training:
- Endgame Drills: Regularly train basic and intermediate endgames (king and pawn, rook, minor pieces endings). Use solved positions and play out wins/losses against engines or training partners.
- Tactical Puzzles: Keep sharpening tactical vision through puzzle solving. Focus on mixed motifs including forks, pins, discovered attacks, and sacrifices.
- Analyze Your Losses: Review your lost games critically to understand mistakes—both tactical oversights and strategic inaccuracies. Try to identify recurring error patterns.
- Play Slow Games: To deepen understanding, play longer time controls allowing more calculation, especially on opening and critical middlegame decisions.
Positive Notes:
Your recent wins show you have a strong foundation. Keeping a balanced approach between tactical sharpness and positional understanding will help elevate your play further.
Keep challenging yourself with higher-rated opponents and diverse openings to expand your experience.
Good luck with your games, Iulian-Ioan! Continued training and focused review will unlock new levels in your performance.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| kuenkuen1989 | 4W / 3L / 0D | |
| mikhailblr | 1W / 0L / 0D | |
| SwimmingTrolley | 1W / 0L / 0D | |
| tv27 | 2W / 0L / 0D | |
| yousefi_chessclub | 0W / 2L / 0D | |
| iaroby | 2W / 0L / 0D | |
| tactis | 1W / 0L / 0D | |
| res128 | 1W / 1L / 0D | |
| broug13 | 1W / 0L / 1D | |
| george13pi | 0W / 1L / 1D | |
| Most Played Opponents | ||
|---|---|---|
| tudorache_m | 25W / 15L / 2D | |
| morozevich99 | 12W / 18L / 0D | |
| tofifi19 | 19W / 3L / 1D | |
| octananda | 15W / 5L / 2D | |
| cruz29 | 12W / 6L / 2D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2256 | 2427 | 2369 | |
| 2024 | 2285 | 2385 | 2343 | 1463 |
| 2023 | 2188 | 2307 | 2277 | |
| 2022 | 2217 | 2258 | 2386 | |
| 2021 | 2240 | 2365 | 2324 | |
| 2020 | 2294 | 2351 | 2296 | |
| 2019 | 1964 | 2222 | 1708 | |
| 2018 | 2106 | 2344 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 166W / 155L / 38D | 151W / 171L / 37D | 80.3 |
| 2024 | 238W / 223L / 50D | 239W / 226L / 46D | 78.6 |
| 2023 | 90W / 70L / 23D | 86W / 79L / 16D | 76.9 |
| 2022 | 66W / 51L / 17D | 54W / 49L / 30D | 76.9 |
| 2021 | 243W / 183L / 63D | 215W / 222L / 56D | 76.6 |
| 2020 | 501W / 438L / 110D | 475W / 472L / 82D | 79.0 |
| 2019 | 234W / 121L / 16D | 225W / 121L / 25D | 74.7 |
| 2018 | 265W / 240L / 36D | 260W / 252L / 47D | 76.9 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Modern Defense: Pterodactyl Variation | 854 | 391 | 403 | 60 | 45.8% |
| Döry Defense | 496 | 233 | 211 | 52 | 47.0% |
| Amazon Attack | 480 | 217 | 220 | 43 | 45.2% |
| London System: Poisoned Pawn Variation | 443 | 206 | 192 | 45 | 46.5% |
| Slav Defense: Bonet Gambit | 339 | 175 | 135 | 29 | 51.6% |
| Amazon Attack: Siberian Attack | 279 | 130 | 118 | 31 | 46.6% |
| Australian Defense | 276 | 141 | 110 | 25 | 51.1% |
| QGA: 3.e3 c5 | 237 | 109 | 103 | 25 | 46.0% |
| King's Indian Defense: Exchange Variation | 189 | 88 | 78 | 23 | 46.6% |
| Queen's Pawn Game: Torre Attack | 178 | 91 | 72 | 15 | 51.1% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack | 2 | 2 | 0 | 0 | 100.0% |
| Amazon Attack: Siberian Attack | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense | 1 | 1 | 0 | 0 | 100.0% |
| Barnes Defense | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense: O'Kelly Variation | 1 | 1 | 0 | 0 | 100.0% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Modern Defense: Pterodactyl Variation | 45 | 22 | 12 | 11 | 48.9% |
| Amar Gambit | 34 | 20 | 9 | 5 | 58.8% |
| Amazon Attack | 29 | 15 | 4 | 10 | 51.7% |
| Australian Defense | 24 | 15 | 2 | 7 | 62.5% |
| Amazon Attack: Siberian Attack | 20 | 12 | 6 | 2 | 60.0% |
| Döry Defense | 19 | 9 | 7 | 3 | 47.4% |
| London System: Poisoned Pawn Variation | 16 | 7 | 7 | 2 | 43.8% |
| QGA: 3.e3 c5 | 15 | 9 | 5 | 1 | 60.0% |
| Slav Defense: Bonet Gambit | 15 | 3 | 6 | 6 | 20.0% |
| Barnes Defense | 14 | 8 | 5 | 1 | 57.1% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Modern Defense: Pterodactyl Variation | 83 | 55 | 21 | 7 | 66.3% |
| London System: Poisoned Pawn Variation | 67 | 39 | 17 | 11 | 58.2% |
| Amazon Attack | 52 | 32 | 16 | 4 | 61.5% |
| Döry Defense | 39 | 25 | 11 | 3 | 64.1% |
| Queen's Pawn Game: Torre Attack | 30 | 18 | 8 | 4 | 60.0% |
| Australian Defense | 27 | 16 | 8 | 3 | 59.3% |
| Bird Opening: Dutch Variation, Batavo Gambit | 20 | 15 | 4 | 1 | 75.0% |
| QGA: 3.e3 c5 | 18 | 15 | 2 | 1 | 83.3% |
| Slav Defense: Bonet Gambit | 16 | 9 | 4 | 3 | 56.2% |
| Sicilian Defense: Closed | 16 | 12 | 4 | 0 | 75.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 15 | 0 |
| Losing | 9 | 2 |