Hoang Thi Bao Tram (meoluoi91)
Woman Grandmaster, The Tactical Dynamo
Hoang Thi Bao Tram, known in the chess world by her formidable username meoluoi91, is a Woman Grandmaster who has dazzled chessboards across the globe. She’s not just any player; she’s a strategic force to be reckoned with, demonstrating an impressive knack for mid- to late-game tactics and an almost superhuman ability to come back from behind, boasting a comeback rate of a whopping 84.61%!
Starting from modest rapid ratings in the 1000s back in 2013, Hoang's journey is nothing short of inspiring. Over the years, her blitz and bullet ratings skyrocketed, with bullet reaching an astonishing peak of 2759 in late 2024 — a rating so high it probably causes opponent keyboards to temporarily malfunction. Blitz peaked nicely at 2722 in 2021, reinforcing her fast-paced brilliance, and rapid at a slick 2260 in 2020. Those who try to outpace her often find themselves staring down the barrel of brutal time scrambles and tactical swindles.
With thousands of wins under her belt — including nearly 3,500 in bullet and over 2,400 in blitz — Hoang brings a balanced blend of patience and aggression. Her average moves per win hover around 81 in rapid games, showcasing her endurance and precision over lengthy battles. But don’t expect her to give up easily; her psychological resilience shines through a tilt factor of only 12, and a tendency to best opponents in the early morning hours (perfect for insomniacs who want to spice up their dawn!).
Playing Style and Stats Highlights
- Endgame Enthusiast: Engages endgames 86% of the time, proving she’s got the patience to finish what she starts.
- Early Resignation Rate: A mere 1.39%, meaning she fights tooth and nail before conceding.
- White Pieces Win Rate: 53.53% – because she likes to start on the front foot.
- Black Pieces Win Rate: Solid 48.14%, revealing robust defense and counterattack skills.
- Favorite Openings: While keeping her top secrets locked away, she’s known to dance delicately with variations like the Caro-Kann Defense, Indian Games, and the Neo-Grunfeld Defense.
Notable Personality Traits:
- Fearless in bullet battles, often winning over 50% of her blitz and bullet games combined.
- A strategic mind who sometimes leaves opponents scratching their heads in “How did she just do that?” moments.
- Has weathered swings of victory and loss with a longest winning streak of 19 and a longest losing streak of 12, highlighting both human frailty and champion stamina.
- Excels most around the witching hour of 4 AM — perfect for nocturnal grandmaster fans.
Recent Glorious Victory
In May 2025, Hoang claimed a crushing victory against NexoKnight11, sealing the match with a precise checkmate on move 42 in a Neo-Grunfeld Defense battle. You can witness the tactical fireworks here.
In Closing
Hoang Thi Bao Tram is not just a chess player — she’s a dazzling gladiator on 64 squares, combining intellectual ferocity with an almost artistic touch. Whether blitzing against the clock or trekking through deep endgames, she brings passion, skill, and an occasional sprinkle of mystery to every match.
Feedback for Hoang Thi Bao Tram
Dear Bao Tram,
Thank you for sharing your recent games. You're playing at a strong level with a solid understanding of opening principles and middlegame tactics. Here are some constructive points to focus on to further improve your chess:
Strengths:
- Opening Preparation: Your opening moves are mostly standard and reliable, such as careful development and early castling. This sets a strong foundation into your middlegame.
- Positional Awareness: You take good control of the center and activate your pieces harmoniously, as seen in several games where you established solid pawn structures and used piece coordination effectively.
- Attacking Vision: In your wins, you demonstrated good timing launching pawn pushes (like h4-h5 and central breaks), effectively creating threats and taking advantage of opponent weaknesses.
Areas to Improve:
- Time Management: There were several moments where you spent quite a bit of time on certain moves, which may have caused time trouble later. Try to balance deeper thinking on critical positions with quicker decisions in familiar or less critical ones.
- Endgame Technique: Some losing games show potential to improve conversions or resourcefulness in simplified positions. Practicing key theoretical endgames and sharpening calculation in those phases will help.
- Mistake Reduction under Pressure: In a few games, tactical errors or missed defensive resources led to losses or missed opportunities. Consistent tactics training and pausing to check for opponent threats on every move can reduce such slips.
Practical Suggestions:
- Review key moments in losses, especially where the evaluation shifts significantly, to understand what better alternatives you had — this will deepen your understanding.
- In openings, explore some typical plans and pawn breaks to improve your decision-making when facing less common responses.
- Maintain good clock management habits, especially in longer time controls, to ensure you have enough time in sharp or complex positions.
You're making great progress. Keep focusing on gradual improvement, and with your dedication, you will continue climbing higher! Feel free to share more games for further tailored guidance.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Stanisław Żyłka | 0W / 1L / 0D | View |
| Shanmukha Meruga | 2W / 0L / 0D | View |
| huwja | 0W / 1L / 0D | View |
| Steve Wongso | 1W / 0L / 0D | View |
| thelatemaestro | 1W / 0L / 0D | View |
| Eman Sawan | 2W / 2L / 0D | View |
| vanhnolifechess | 1W / 0L / 0D | View |
| htdfgdf | 1W / 0L / 0D | View |
| sergey-zigalko-3a | 0W / 1L / 0D | View |
| valennfzz | 1W / 0L / 0D | View |
| Most Played Opponents | ||
|---|---|---|
| Coach Jesse | 76W / 31L / 3D | View Games |
| BellJackson95 | 50W / 41L / 12D | View Games |
| pKiLz5Rn9b | 42W / 44L / 5D | View Games |
| Manuel Bijaoui | 36W / 25L / 2D | View Games |
| karyakin | 25W / 23L / 2D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2592 | 2241 | 2241 | |
| 2024 | 2662 | 2589 | ||
| 2023 | 2569 | 2244 | ||
| 2022 | 2344 | 2513 | 2167 | |
| 2021 | 2275 | 2580 | ||
| 2020 | 2426 | 2507 | 2222 | |
| 2019 | 2478 | 2621 | ||
| 2018 | 2414 | 2560 | ||
| 2017 | 2418 | 2389 | ||
| 2016 | 2386 | 2393 | ||
| 2015 | 2472 | 2408 | ||
| 2014 | 1913 | 1859 | 1355 | |
| 2013 | 1270 | 1304 | 1208 | 1200 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 400W / 339L / 22D | 360W / 361L / 31D | 82.2 |
| 2024 | 293W / 247L / 30D | 266W / 276L / 21D | 83.4 |
| 2023 | 51W / 35L / 6D | 46W / 36L / 9D | 91.7 |
| 2022 | 19W / 16L / 4D | 20W / 22L / 3D | 86.0 |
| 2021 | 256W / 196L / 39D | 238W / 208L / 28D | 84.2 |
| 2020 | 472W / 316L / 46D | 385W / 392L / 65D | 84.0 |
| 2019 | 198W / 139L / 20D | 160W / 174L / 18D | 83.6 |
| 2018 | 383W / 354L / 36D | 360W / 376L / 29D | 84.6 |
| 2017 | 204W / 147L / 15D | 174W / 177L / 14D | 82.7 |
| 2016 | 329W / 253L / 24D | 267W / 310L / 22D | 83.2 |
| 2015 | 671W / 454L / 59D | 637W / 491L / 54D | 85.8 |
| 2014 | 43W / 28L / 2D | 41W / 31L / 1D | 51.4 |
| 2013 | 7W / 8L / 0D | 5W / 10L / 0D | 27.9 |
Openings: Most Played
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 663 | 359 | 279 | 25 | 54.1% |
| London System: Poisoned Pawn Variation | 343 | 176 | 151 | 16 | 51.3% |
| Amar Gambit | 318 | 199 | 102 | 17 | 62.6% |
| Australian Defense | 285 | 152 | 126 | 7 | 53.3% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 280 | 150 | 121 | 9 | 53.6% |
| Amazon Attack | 222 | 114 | 104 | 4 | 51.4% |
| Nimzo-Larsen Attack | 209 | 104 | 98 | 7 | 49.8% |
| Amazon Attack: Siberian Attack | 190 | 110 | 70 | 10 | 57.9% |
| Caro-Kann Defense: Exchange Variation | 185 | 97 | 78 | 10 | 52.4% |
| Slav Defense | 177 | 97 | 72 | 8 | 54.8% |
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 500 | 225 | 246 | 29 | 45.0% |
| Slav Defense | 226 | 104 | 100 | 22 | 46.0% |
| Amazon Attack | 191 | 109 | 75 | 7 | 57.1% |
| Amazon Attack: Siberian Attack | 182 | 92 | 82 | 8 | 50.5% |
| London System: Poisoned Pawn Variation | 181 | 100 | 66 | 15 | 55.2% |
| Caro-Kann Defense: Exchange Variation | 177 | 97 | 67 | 13 | 54.8% |
| Scandinavian Defense | 148 | 76 | 63 | 9 | 51.4% |
| Gruenfeld: 5.e3 O-O | 108 | 50 | 54 | 4 | 46.3% |
| Australian Defense | 105 | 61 | 36 | 8 | 58.1% |
| English Opening: Caro-Kann Defensive System | 100 | 48 | 45 | 7 | 48.0% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| French Defense | 12 | 7 | 4 | 1 | 58.3% |
| Unknown | 8 | 3 | 5 | 0 | 37.5% |
| English Opening | 6 | 2 | 4 | 0 | 33.3% |
| English Opening: King's English Variation | 6 | 2 | 4 | 0 | 33.3% |
| French Defense: Exchange Variation | 5 | 3 | 2 | 0 | 60.0% |
| French Defense: Advance Variation | 5 | 2 | 3 | 0 | 40.0% |
| Amar Gambit | 3 | 2 | 1 | 0 | 66.7% |
| QGD: 3.Nc3 Nf6 4.e3 | 3 | 3 | 0 | 0 | 100.0% |
| Amazon Attack | 3 | 2 | 1 | 0 | 66.7% |
| English Opening: Four Knights System, Nimzowitsch Variation | 3 | 2 | 0 | 1 | 66.7% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Unknown | 6 | 1 | 5 | 0 | 16.7% |
| Barnes Defense | 2 | 0 | 2 | 0 | 0.0% |
| Australian Defense | 1 | 0 | 1 | 0 | 0.0% |
| Colle System: Rhamphorhynchus Variation | 1 | 0 | 1 | 0 | 0.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 19 | 0 |
| Losing | 12 | 1 |