Nilufar Yakubbaeva - Woman Grandmaster
Nilufar Yakubbaeva, also known in the chess world as nilufaryakubbaeva29, is a formidable Woman Grandmaster who has been steadily growing her rating and pedigree in various time formats. Her chess career sprouts with a tenacity and sharpness rarely seen outside the grandmaster garden. From bullet to blitz to rapid, she adapts with the grace of a chameleon blending into the biological sea of openings and endgames.
Nilufar has nurtured a rich rating history, blossoming from a blitz rating of 2110 in 2020 to an impressive 2590 in 2022, while her bullet rating grew from 1767 to 2088 in the same span. Her rapid play, although less frequently documented, peaked at 2226 in 2022, showing her ability to swiftly metamorphose her strategies across time controls.
With a longest winning streak of 15 games, it’s clear that Nilufar’s chess roots run deep. Her average winning game lasts around 74 moves, proving she has the stamina of a marathon runner and the patience of a wise old tree. Interestingly, she boasts a remarkable comeback rate of over 91%, and if she loses a piece, her win rate surges to a perfect 100% — talk about a cellular regeneration of spirit on the board!
Her style is as strategic as a protein folding into a functional form — meticulous and calculated. She tends to resign early only about 0.71% of the time, reflecting resilience that would make even the toughest bacteria proud. Endgames are her preferred habitat, occurring nearly 79% of her games, showing she thrives where complexity breeds.
Nilufar’s chess influence extends beyond mere numbers. She has faced a vast array of opponents, cultivating a diverse ecosystem of encounters. Her win rates vary intriguingly depending on the adversary, with some opponents succumbing to her precise tactics, while others pose a more thorny challenge.
In psychological terms, Nilufar possesses a modest tilt factor of 8, keeping her cool even when the opponent tries to ruffle her feathers. Her rated wins outperform casual games by 43.64%, revealing a competitive edge sharper than a lioness stalking prey.
Whether playing with white (where she wins 45.65% of the time) or black (41.62%), Nilufar Yakubbaeva orchestrates her moves with a scientist’s precision and an artist’s flair. In the grand evolutionary tree of chess players, she is a thriving branch, steadily growing towards the light of excellence. Keep an eye on her — she’s a biological marvel in the ecosystem of chess.
Hi Nilufar!
Great job keeping an active tournament schedule and scoring several nice attacking wins. Below is some personalised feedback based on the sample of your recent rapid games (≈60 s “bullet/ultra” time control):
What you already do well
- Initiative-first mindset. In many of your wins you create early tension with space-gaining moves such as 4.e4 in the Queen’s Gambit Declined or quick pawn storms (e.g. 14.c4, 15.b4 in your Chigorin game). Your opponents are often pushed onto the back foot.
- Piece activity. You seldom keep pieces passive. Typical examples: 26.Rxe6! in the Bd3-Chigorin win and the Bxc5 / a-pawn push sequence in your first PGN. This keen eye for activity is a real strength in fast games.
- End-game conversion under time pressure. The capstone of your main win (…66.f8=Q!) shows solid technique even with only a few seconds left.
Priority areas to work on
- King safety in the middlegame.
Several losses feature long-term exposure of your king or neglected pawn shields (e.g. 31…Bd4+ in the loss vs badia99 and 21…Qxa2 in the Caro-Kann defeat). Try to ask “What is my opponent’s next check?” every move until castling — and again whenever you push flank pawns. - Handling reversed-colour structures.
You often play both sides of the English & Queen’s Pawn systems. While your white results are good, with Black you lost similar structures (see both Caro-Kann games) because of misplaced knights on the rim (…Nh5 / …Na5) and premature pawn grabs. Revisiting model games on those setups will pay dividends. - Move-order traps.
Fast games punish imprecision. Example: in the East-Indian loss you allowed 23.Qc8! and the fork 32…Nc3? led to quick collapse. A short daily tactic drill (5–10 puzzles) that focuses on “quiet” intermezzos will sharpen this. - Clock management.
Three of the five recent defeats ended by resignation in lost positions you reached while well ahead on the clock. Consciously bank 5–10 s after the opening so you have time for critical middlegame decisions.
Action plan for the next two weeks
- Review two instructive model games in each of these lines you frequently reach: (a) Caro-Kann Exchange with 4.Bd3, (b) English Symmetrical with …c5 …Nc6. Annotate them and note typical manoeuvres.
- Add a 10-minute daily session on defensive tactics. Focus on “find a saving resource for the side to move”.
- Play a mini-match (10 games) against a training partner or bot where your only goal is to keep your king pawn shield intact. Review any game where you castle into an attack.
- Track your results using and to spot when fatigue affects accuracy.
Quick stats
Your all-time best blitz rating: 2636 (2022-09-17). Aim to stabilise within 50 pts of that peak before pushing higher.
Inspiration corner
Replay your cleanest recent finish:
Keep the momentum, stay curious, and enjoy the game. Good luck in your next sessions!
🆚 Opponent Insights
| Most Played Opponents | ||
|---|---|---|
| Andrzej2006 | 10W / 14L / 1D | |
| debyut13 | 2W / 14L / 0D | |
| llchesschessll | 10W / 5L / 0D | |
| cgray95 | 7W / 5L / 0D | |
| Matei-Valeriu Mogirzan | 4W / 8L / 0D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2022 | 2088 | 2590 | 2226 | |
| 2021 | 1948 | 2428 | ||
| 2020 | 1767 | 2110 | 2157 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2022 | 162W / 150L / 20D | 140W / 169L / 19D | 73.9 |
| 2021 | 344W / 369L / 63D | 326W / 407L / 57D | 76.0 |
| 2020 | 14W / 14L / 3D | 13W / 16L / 4D | 75.9 |
Openings: Most Played
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 155 | 60 | 80 | 15 | 38.7% |
| Caro-Kann Defense: Exchange Variation | 81 | 47 | 31 | 3 | 58.0% |
| London System: Poisoned Pawn Variation | 71 | 28 | 39 | 4 | 39.4% |
| Colle System: Rhamphorhynchus Variation | 61 | 32 | 27 | 2 | 52.5% |
| Amar Gambit | 59 | 21 | 32 | 6 | 35.6% |
| English Opening | 51 | 22 | 28 | 1 | 43.1% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 38 | 16 | 22 | 0 | 42.1% |
| Slav Defense | 36 | 14 | 20 | 2 | 38.9% |
| Australian Defense | 35 | 15 | 17 | 3 | 42.9% |
| English Opening: Agincourt Defense | 34 | 16 | 17 | 1 | 47.1% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 90 | 45 | 41 | 4 | 50.0% |
| London System: Poisoned Pawn Variation | 28 | 12 | 12 | 4 | 42.9% |
| Caro-Kann Defense: Exchange Variation | 25 | 9 | 14 | 2 | 36.0% |
| Döry Defense | 22 | 10 | 10 | 2 | 45.5% |
| Caro-Kann Defense: Bronstein-Larsen Variation | 17 | 8 | 9 | 0 | 47.1% |
| Caro-Kann Defense: Classical Variation | 16 | 7 | 8 | 1 | 43.8% |
| Amazon Attack: Siberian Attack | 14 | 4 | 8 | 2 | 28.6% |
| Colle System: Rhamphorhynchus Variation | 12 | 8 | 3 | 1 | 66.7% |
| English Opening: Symmetrical Variation | 11 | 7 | 2 | 2 | 63.6% |
| Amazon Attack | 10 | 5 | 5 | 0 | 50.0% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 3 | 2 | 0 | 1 | 66.7% |
| Döry Defense | 2 | 1 | 0 | 1 | 50.0% |
| Amazon Attack: Siberian Attack | 2 | 1 | 1 | 0 | 50.0% |
| London System: Poisoned Pawn Variation | 2 | 1 | 1 | 0 | 50.0% |
| Benoni Defense: Benoni Gambit Accepted | 2 | 1 | 1 | 0 | 50.0% |
| Sicilian Defense: Alapin Variation, Sherzer Variation | 1 | 1 | 0 | 0 | 100.0% |
| English Opening: Anglo-Indian Defense | 1 | 1 | 0 | 0 | 100.0% |
| Caro-Kann Defense: Classical Variation | 1 | 1 | 0 | 0 | 100.0% |
| Queen's Indian Defense: Anti-Queen's Indian System | 1 | 1 | 0 | 0 | 100.0% |
| Slav Defense: Exchange Variation | 1 | 1 | 0 | 0 | 100.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 15 | 0 |
| Losing | 8 | 7 |