Evgenij Novikov, Candidate Master
Meet Evgenij Novikov, a chess player whose rating history tells a tale as dynamic as a game of 3D chess — or should we say, a complex biological system where each move replicates the intricate dance of cellular processes. Awarded the prestigious title of Candidate Master by FIDE, Evgenij has demonstrated a growth curve worthy of a thriving organism, evolving from modest ratings in the early 2010s to peaking above 2600 in Bullet chess.
Strengths in Speed and Strategy
Known for their impressive tactical awareness, Evgenij boasts a stellar 98.93% win rate after losing a piece, proving that even when the board seems infected with disadvantage, the strategist’s immune system triggers a fierce comeback in nearly 90% of cases. Their average winning game stretches to ~79 moves, a test of stamina and neural endurance, while losses tend to be longer battles averaging 88 moves, reflecting a resilient will to outlast opponents.
Playing Style: The Endgame Enzyme
With an endgame frequency soaring near 85%, Evgenij thrives in the final phases of the game, carefully sequencing moves with biological precision. They’re the chess equivalent of a molecular biologist: patient, detail-oriented, and always ready to catalyze the right move at the perfect moment.
Opening Repertoire: A Genetic Code of Success
- Bullet: Favours the Scandinavian Defense Mieses Kotrc Gubinsky Melts Defense with a cool 67% win rate — an opening as rare and potent as a beneficial mutation.
- Blitz: Shows versatility, harnessing clicks like the Alapin Sicilian and Caro-Kann with over 52% success rates, demonstrating adaptive strategies suitable for rapid play.
- Rapid: A real specialist here with 100% win rates in several sharp lines including the Italian Game and Sicilian Defense, like a predatory enzyme hunting prey with unerring precision.
Psychological and Temporal Ecology
Evgenij’s gameplay fluctuates mildly with the hour, having peak win rates in the late morning (11 AM at 64.76%) and early afternoon (1 PM at 61.04%), suggesting that their cognitive enzymes fire best during these circadian peaks. They tend to maintain psychological stability under pressure, with a low early resignation rate (2.64%) and a respectable tilt factor of 11, meaning they usually keep calm, though like any living system, sometimes a bit of "twitch" reacts to stress.
Opponent Interaction: A Dominant Species
Evgenij enjoys a dominant ecological niche, boasting perfect or near-perfect win rates against a wide array of opponents, showing adaptability and resilience across the competitive biosphere. Their longest winning streak is a phenomenal 31 games — a true predator in the chess wild!
Evgenij Novikov's journey in the chess biosphere is a remarkable example of growth, resilience, and strategic evolution. Whether bullet, blitz, or rapid, they're ready to checkmate your curiosity and leave opponents in check—because in their kingdom, every move is a cell in the grand organism of victory.
Constructive Feedback for Evgenij Novikov
Evgenij, your recent games show a strong understanding of key strategic concepts and solid opening preparation, particularly in the Queen's Indian and London System structures. Here are some targeted points to help you improve further:
Strengths
- Opening Play: You handle complex opening lines like the Queen's Indian Defense and London System confidently, leading to good middlegame positions. Your development and control of the center stand out.
- Endgame Technique: In your wins, you convert small advantages with precision and demonstrate good calculation in simplified positions.
- Active Piece Play: You utilize piece activity well, often creating threats that keep your opponent under pressure.
Areas for Improvement
- Handling Pressure in Complex Positions: In some losses, especially in sharp pawn tension clashes (e.g., in the King's Indian Defense structures), allowing exchanges or pawn breaks led to positionally worse scenarios. Focus on evaluating exchanges carefully and maintaining tension where beneficial.
- Time Management: There are moments where faster time usage might help avoid errors, especially in critical middlegame or tactical phases. Try to allocate your clock thoughtfully, saving enough time for complex decisions.
- Calculation Accuracy: Occasionally, tactics against you, like pins or forks, cause setbacks. Regular tactical training can sharpen your ability to foresee and neutralize threats earlier.
- Defensive Resourcefulness: Sometimes after falling into a worse position, it's challenging to find active defensive resources. Studying defensive techniques and counterplay ideas will enhance resilience.
Training Recommendations
- Review key themes in your preferred openings to deepen understanding of resulting pawn structures and typical plans.
- Analyze losses to find recurring motifs in your opponents' plans and your inaccuracies.
- Incorporate regular timed tactical drills to improve calculation speed and precision.
- Practice endgame studies, focusing on converting small advantages and defense under pressure.
With continued study and focused practice on these areas, your overall performance and consistency will improve. Keep up the good work and stay confident in your game!
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Henri Lahdelma | 0W / 1L / 0D | View |
| aimxtrainer | 1W / 1L / 0D | View |
| schmetterling64 | 0W / 3L / 0D | View |
| Jovan Miletic | 7W / 5L / 0D | View |
| thenicolasgambit | 1W / 0L / 0D | View |
| raskolnikov6 | 2W / 2L / 1D | View |
| alejinboy | 1W / 0L / 0D | View |
| Manuel Bijaoui | 9W / 23L / 3D | View |
| Vitezslav Rasik | 1W / 3L / 0D | View |
| Shrook Wafa | 3W / 0L / 0D | View |
| Most Played Opponents | ||
|---|---|---|
| Mark Kotliar | 54W / 26L / 12D | View Games |
| amirsose | 18W / 31L / 4D | View Games |
| kazyuchits | 51W / 1L / 1D | View Games |
| elizaveta_1991 | 41W / 7L / 2D | View Games |
| Damian Lewtak | 14W / 28L / 3D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2561 | 2195 | 2104 | |
| 2024 | 2551 | 2573 | ||
| 2023 | 2503 | 2530 | 2195 | |
| 2022 | 2475 | 2434 | 2045 | |
| 2021 | 2601 | 2510 | 2013 | |
| 2020 | 2584 | 2432 | 2164 | |
| 2019 | 2500 | 2550 | 2191 | |
| 2018 | 2401 | 2409 | 1911 | 2053 |
| 2017 | 2397 | 2332 | 1793 | 2042 |
| 2016 | 2420 | 2413 | 1878 | 1957 |
| 2015 | 2404 | 2323 | 1725 | 2018 |
| 2014 | 2241 | 2129 | 1725 | 1957 |
| 2013 | 1552 | 1685 | 1566 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 147W / 125L / 36D | 133W / 149L / 29D | 88.4 |
| 2024 | 289W / 227L / 45D | 267W / 255L / 48D | 91.3 |
| 2023 | 452W / 372L / 86D | 420W / 427L / 73D | 88.0 |
| 2022 | 1510W / 490L / 106D | 1459W / 508L / 127D | 81.9 |
| 2021 | 368W / 296L / 48D | 341W / 298L / 42D | 86.4 |
| 2020 | 706W / 508L / 96D | 683W / 555L / 112D | 86.2 |
| 2019 | 794W / 577L / 93D | 715W / 596L / 128D | 85.8 |
| 2018 | 780W / 607L / 87D | 762W / 648L / 97D | 82.5 |
| 2017 | 614W / 491L / 79D | 624W / 468L / 67D | 81.5 |
| 2016 | 168W / 75L / 19D | 131W / 102L / 23D | 82.4 |
| 2015 | 261W / 201L / 54D | 253W / 209L / 50D | 92.6 |
| 2014 | 1062W / 504L / 76D | 1022W / 544L / 86D | 80.1 |
| 2013 | 127W / 31L / 3D | 119W / 44L / 1D | 55.4 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 836 | 427 | 344 | 65 | 51.1% |
| Scandinavian Defense | 502 | 274 | 190 | 38 | 54.6% |
| Sicilian Defense | 377 | 198 | 149 | 30 | 52.5% |
| Amazon Attack: Siberian Attack | 371 | 178 | 161 | 32 | 48.0% |
| Sicilian Defense: Closed | 371 | 195 | 146 | 30 | 52.6% |
| Amar Gambit | 337 | 183 | 136 | 18 | 54.3% |
| London System: Poisoned Pawn Variation | 309 | 152 | 128 | 29 | 49.2% |
| Bird Opening: Dutch Variation, Batavo Gambit | 307 | 162 | 121 | 24 | 52.8% |
| Amazon Attack | 305 | 164 | 114 | 27 | 53.8% |
| Unknown | 289 | 116 | 173 | 0 | 40.1% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 779 | 536 | 209 | 34 | 68.8% |
| Caro-Kann Defense | 630 | 400 | 195 | 35 | 63.5% |
| Australian Defense | 404 | 265 | 125 | 14 | 65.6% |
| Scandinavian Defense | 370 | 249 | 106 | 15 | 67.3% |
| Colle System: Rhamphorhynchus Variation | 320 | 198 | 104 | 18 | 61.9% |
| Czech Defense | 301 | 190 | 98 | 13 | 63.1% |
| Modern | 275 | 179 | 86 | 10 | 65.1% |
| London System: Poisoned Pawn Variation | 215 | 129 | 72 | 14 | 60.0% |
| Caro-Kann Defense: Exchange Variation | 184 | 118 | 52 | 14 | 64.1% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 175 | 111 | 54 | 10 | 63.4% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 35 | 28 | 2 | 5 | 80.0% |
| Amazon Attack | 16 | 15 | 1 | 0 | 93.8% |
| Scotch Game | 15 | 13 | 1 | 1 | 86.7% |
| Scandinavian Defense | 14 | 13 | 0 | 1 | 92.9% |
| Blackburne Shilling Gambit | 14 | 14 | 0 | 0 | 100.0% |
| Sicilian Defense | 12 | 11 | 1 | 0 | 91.7% |
| Amar Gambit | 11 | 7 | 2 | 2 | 63.6% |
| Bird Opening: Dutch Variation, Batavo Gambit | 11 | 8 | 2 | 1 | 72.7% |
| Caro-Kann Defense: Exchange Variation | 10 | 9 | 1 | 0 | 90.0% |
| Philidor Defense | 9 | 8 | 1 | 0 | 88.9% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 7 | 7 | 0 | 0 | 100.0% |
| Amazon Attack | 7 | 6 | 0 | 1 | 85.7% |
| Sicilian Defense: Alapin Variation | 5 | 4 | 0 | 1 | 80.0% |
| Amar Gambit | 5 | 4 | 0 | 1 | 80.0% |
| London System: Poisoned Pawn Variation | 5 | 4 | 0 | 1 | 80.0% |
| Sicilian Defense: Moscow Variation, Haag Gambit | 4 | 1 | 1 | 2 | 25.0% |
| Döry Defense | 4 | 2 | 2 | 0 | 50.0% |
| QGD: 3.Nc3 Nf6 4.e3 | 3 | 2 | 0 | 1 | 66.7% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 3 | 1 | 1 | 1 | 33.3% |
| Benko Gambit | 3 | 1 | 1 | 1 | 33.3% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 31 | 0 |
| Losing | 11 | 1 |