Koosha Jaferian, Candidate Master (FIDE)
Meet Koosha Jaferian, a formidable chess player whose tactical prowess and strategic nuances could probably confuse even the most evolved predators in the wild. Awarded the prestigious title of Candidate Master by FIDE, Koosha’s chess career is a fascinating biological study in precision, adaptability, and resilience—traits any self-respecting apex predator would envy.
Chess Evolution & Rating Journey
From humble beginnings in 2017 with a bullet rating just shy of 1950, Koosha's rating quickly evolved, hitting a peak bullet rating flirting with the 2800s by 2024, a rare genotype in the fast-paced ecosystem of bullet chess. Noteworthy is their incredible comeback rate of 85.7% and an astonishing 94.14% win rate after losing a piece—definitely not your average prey!
Playing Style: The Strategic Swarm
Known for long engagements, Koosha averages over 80 moves per win, wielding patience like a true biology master manipulating its environment. Their endgame frequency is a striking 80.44%, indicating a preference for closing battles with precision—a true chess hunter’s trait. With a modest early resignation rate of 8.6%, Koosha prefers to watch the game unfold rather than fleeing early from the battlefield.
Opening Repertoire: A Genetic Mix
Koosha’s favorite openings mirror a finely-tuned evolutionary toolkit: the Reti Opening and its Nimzowitsch-Larsen variations appear frequently, boasting win rates around 60-65%. They also show a remarkable affinity for the English Opening Agincourt Defense, with a win rate peaking at over 74% in bullet games—definitely a smart genetic trait in their opening DNA.
Competitive Record & Opponents
With over 8,400 bullet wins and thousands more in blitz and rapid, Koosha strives like a dominant species across multiple time controls. They’ve faced a broad variety of opponents, showcasing adaptability that would make any biologist proud.
Quirky Tidbits
- Longest winning streak: a staggering 60 games—talk about a survival streak!
- Thrives most between 8 AM and 3 PM, with win rates hitting above 60% during those hours—guess that’s Koosha’s prime circadian rhythm.
- Psychological resilience is on point with a low tilt factor of 25, meaning Koosha doesn’t let the chess ecosystem stress them out easily.
Whether hunting down opponents in hyper-fast bullet tempo or carefully nurturing slowly blooming endgames, Koosha Jaferian embodies the perfect balance of instinct and intellect. A true chess organism evolving gracefully through tactics, strategy, and timing.
If chess were an ecosystem, Koosha would be a top predator, methodically stalking their prey over the board, ready to pounce with calculated strikes and cunning traps. So watch out—this Candidate Master’s next mate might be just a move away!
Coaching Feedback for Koosha Jaferian
Hi Koosha! I've reviewed your recent games and have some constructive feedback to help you improve your play further.
Strengths
- Opening Preparation: You demonstrate a solid understanding of opening principles and key lines such as the Catalan, Dutch Defense, and Reti. This gives you a good foundation right out of the opening phase.
- Endgame Technique: Your conversion skills in simplified positions are strong, especially noticeable in several games where you methodically converted small advantages to wins.
- Time Management: You manage your clock well in most games, balancing well between taking the time you need and maintaining pressure on your opponents.
Areas for Improvement
- Calculation in Complex Middle Games: In some of your losses, inaccuracies in calculation under pressure led to missed tactical opportunities or defensive resources. Practice visualization exercises and tactical puzzles to sharpen this skill.
- Handling Defensive Positions: There are a few cases where, after falling behind or into a worse position, you could improve defensive resilience. Work on identifying resourceful defensive moves to prolong the game and create counter-chances.
- Pawn Structure Awareness: Pay attention to the long-term weaknesses created in pawn trades or pushes, especially in openings like the Caro-Kann and the King's Indian Attack setups. Avoid creating isolated or backward pawns unnecessarily.
Strategy Tips
- When you gain a small edge in the opening or early middlegame, focus on gradually increasing pressure instead of rushing attacks that might backfire tactically.
- Before committing to exchanges, carefully evaluate resulting pawn structures and piece activity to ensure you're not relieving your opponent's defensive problems.
- Use prophylactic moves to restrict your opponent's plans, especially in closed positions where maneuvering becomes key.
Next Steps
- Analyze your recent losses in detail to spot exact turning points and missed opportunities. If you want, I can help analyze specific key positions.
- Incorporate a mix of tactical training and endgame study into your daily routine for a well-rounded improvement.
- Try playing thematic training games focusing on openings and pawn structures you want to master, to deepen your understanding.
Keep up the hard work, Koosha! You have a very strong foundation and with focused training on the areas above, you will continue to climb higher. Let me know if you'd like to review any specific games or positions together.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Alice Lee | 33W / 21L / 8D | View |
| letsgo_gm_2500 | 1W / 0L / 0D | View |
| aachess2006 | 1W / 0L / 1D | View |
| Hoang Minh Tho Do | 156W / 49L / 22D | View |
| Andrej Ljepic | 1W / 0L / 0D | View |
| Rasan04 | 5W / 5L / 2D | View |
| German Spata | 1W / 0L / 0D | View |
| Tamaz Mgeladze | 0W / 1L / 0D | View |
| Most Played Opponents | ||
|---|---|---|
| Cindy Qiao | 224W / 110L / 12D | View Games |
| Eilia Zomorrodian | 183W / 133L / 9D | View Games |
| nissou-ach | 175W / 66L / 22D | View Games |
| Hoang Minh Tho Do | 156W / 49L / 22D | View Games |
| Rochelle Wu | 102W / 48L / 23D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2855 | 2804 | 2431 | |
| 2024 | 2826 | 2767 | 2431 | |
| 2023 | 2751 | 2729 | 2432 | 1916 |
| 2022 | 2802 | 2674 | 2267 | 2005 |
| 2021 | 2712 | 2606 | 2136 | |
| 2020 | 2543 | 2573 | 2183 | |
| 2019 | 2248 | 2540 | 2397 | |
| 2018 | 2286 | 2383 | ||
| 2017 | 2398 | 2254 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 220W / 105L / 29D | 206W / 123L / 21D | 80.1 |
| 2024 | 1145W / 600L / 116D | 1126W / 613L / 119D | 71.4 |
| 2023 | 1282W / 542L / 154D | 1175W / 618L / 168D | 84.8 |
| 2022 | 1642W / 780L / 237D | 1564W / 840L / 224D | 90.3 |
| 2021 | 2122W / 1240L / 314D | 1930W / 1420L / 296D | 90.3 |
| 2020 | 155W / 96L / 44D | 160W / 98L / 34D | 89.4 |
| 2019 | 236W / 192L / 34D | 213W / 204L / 34D | 74.8 |
| 2018 | 54W / 49L / 3D | 52W / 56L / 5D | 75.3 |
| 2017 | 55W / 35L / 5D | 50W / 41L / 6D | 89.0 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Unknown | 1162 | 632 | 524 | 6 | 54.4% |
| Caro-Kann Defense | 476 | 299 | 145 | 32 | 62.8% |
| Colle System: Rhamphorhynchus Variation | 443 | 265 | 129 | 49 | 59.8% |
| Nimzo-Larsen Attack: Classical Variation | 302 | 169 | 105 | 28 | 56.0% |
| Caro-Kann Defense: Exchange Variation | 280 | 169 | 83 | 28 | 60.4% |
| Caro-Kann Defense: Classical Variation | 228 | 138 | 66 | 24 | 60.5% |
| Amar Gambit | 173 | 113 | 42 | 18 | 65.3% |
| London System: Poisoned Pawn Variation | 148 | 76 | 54 | 18 | 51.4% |
| Caro-Kann Defense: Two Knights Attack, Mindeno Variation | 147 | 80 | 45 | 22 | 54.4% |
| English Opening: Agincourt Defense | 143 | 97 | 30 | 16 | 67.8% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Colle System: Rhamphorhynchus Variation | 2390 | 1367 | 855 | 168 | 57.2% |
| Nimzo-Larsen Attack: Classical Variation | 1657 | 1011 | 515 | 131 | 61.0% |
| Caro-Kann Defense | 1398 | 797 | 502 | 99 | 57.0% |
| Nimzo-Larsen Attack | 895 | 552 | 278 | 65 | 61.7% |
| Amar Gambit | 857 | 524 | 270 | 63 | 61.1% |
| Caro-Kann Defense: Exchange Variation | 772 | 482 | 238 | 52 | 62.4% |
| English Opening: Agincourt Defense | 624 | 424 | 154 | 46 | 68.0% |
| Caro-Kann Defense: Classical Variation | 584 | 336 | 203 | 45 | 57.5% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 575 | 335 | 192 | 48 | 58.3% |
| London System: Poisoned Pawn Variation | 520 | 285 | 180 | 55 | 54.8% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 35 | 28 | 3 | 4 | 80.0% |
| Nimzo-Larsen Attack: Classical Variation | 32 | 21 | 6 | 5 | 65.6% |
| Caro-Kann Defense: Exchange Variation | 20 | 16 | 1 | 3 | 80.0% |
| Colle System: Rhamphorhynchus Variation | 15 | 10 | 2 | 3 | 66.7% |
| Sicilian Defense: Closed | 13 | 12 | 1 | 0 | 92.3% |
| Nimzo-Larsen Attack | 11 | 11 | 0 | 0 | 100.0% |
| Amazon Attack | 9 | 8 | 0 | 1 | 88.9% |
| Caro-Kann Defense: Classical Variation | 8 | 6 | 1 | 1 | 75.0% |
| London System: Poisoned Pawn Variation | 8 | 5 | 0 | 3 | 62.5% |
| Australian Defense | 8 | 4 | 1 | 3 | 50.0% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 1 | 0 | 0 | 1 | 0.0% |
| French Defense: Winawer Variation, Advance Variation | 1 | 0 | 0 | 1 | 0.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 53 | 0 |
| Losing | 25 | 1 |