Biography
Tahsin Tajwar Zia, online known as ExtremeLearner, is a FIDE Master, prominent competitor, and enthusiastic streamer. A tireless grinder of quick thinking, he blends sharp tactical sense with a love for thoughtful long-form endgames. When the camera turns on, he brings a calm humor and a telltale grin that lights up his streams and his analysis sessions.
Titles and Online Persona
Tahsin earned the FIDE Master title from FIDE and has carved out a niche as a high‑tempo online presence. He streams games, breakdowns, and training sequences under the handle ExtremeLearner, inviting fans to learn by watching, asking questions, and sometimes laughing at the clock's cruel jokes.
- Known for Bullet-focused play, with a fast, practice-first mindset that keeps viewers engaged.
- Engages a growing community of learners through approachable analysis and practical openings insight.
- Represents a blend of competitive drive and entertaining delivery that makes chess feel accessible.
Chess Career Highlights
Tahsin's competitive footprint spans blitz, bullet, rapid, and daily events, highlighting a strong endgame sense and a fearless clock management style. Notably, his peak performances include a Blitz rating reaching the mid-2700s and a Bullet peak around the mid-2600s, showcasing his prowess in fast time controls. His opening repertoire includes a mix of classic defenses and dynamic systems, reflecting both solid preparation and creative ambition.
Playing Style and Philosophy
His approach blends rigorous fundamentals with practical improvisation. Tahsin favors active piece play, timely exchanges, and relentless pressure on the opponent's clock. Off the board, he emphasizes clear plan formulation and accessible explanations, helping viewers translate complex ideas into playable decisions in every bullet or blitz session.
Community & Outreach
Beyond tournament results, Tahsin dedicates time to mentoring and engaging with fans through his streams. He loves breaking down tricky positions, spotlighting key moments, and turning challenging games into learning opportunities for players at all levels.
Overall Performance Insights
Tahsin, your recent games and rating history show a strong fighting spirit with a balanced mix of wins and losses. Your current rating around 1300 demonstrates solid foundational skills, with noticeable peaks in performance such as an 84.62% win rate in the Australian Defense, which indicates a reliable opening choice for you.
However, the 3-month and 6-month rating drops suggest some volatility that you might want to address to stabilize and improve your rating further.
Strengths in Play
- Excellent success with the Australian Defense (win rate 84.62%), showing that this is a strong opening for you.
- Good results using the Barnes Defense and Unknown openings categories, with 72+% win rates.
- Strong ability to capitalize on positions, as seen in your recent win, with active piece play and good pressure especially in the Sicilian Kan variation.
- Ability to maintain initiative and convert slight advantages, demonstrated by calculated moves like early pawn breaks and exploiting opponent's hesitation.
Areas for Improvement
- Work on openings with lower success, such as the London System: Poisoned Pawn Variation and Amazon Attack, which currently have below 35% win rates. Reviewing these lines carefully and exploring alternatives might help.
- Improve time management to avoid time losses; several recent games ended on time wins/losses, which can hide your playing strength.
- Focus on consolidating your middle game positional understanding, particularly around pawn structures and piece coordination, to reduce losses from complex positions.
- Seek more draws instead of risking losses when positions are roughly equal to improve your overall score and confidence in tight games.
- Practice endgame fundamentals to convert advantages more effectively and save difficult positions when behind.
Recommendations for Next Steps
- Continue refining your favorite openings like the Australian Defense and Barnes Defense to deepen your understanding and expand your winning toolkit.
- Analyze key losses (especially in poorly performing openings) to identify recurring tactical or strategic mistakes.
- Use chess puzzles focusing on tactics and positional concepts relevant to your openings and middlegame themes.
- Consider playing longer daily games or using chess study tools to improve calculation and slow down decision-making.
- Track your time usage carefully to avoid losses on time, ensuring each move has adequate thought.
Summary
You're performing well in familiar territory. By strengthening weaker openings, improving time management, and deepening your positional play, you can raise your rating steadily. Keep up the effort—your recent 1-month rating increase of 49 points shows you are capable of strong progress with focused improvement.
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Manon Reja Neer | 259W / 119L / 18D | |
| Mohammad Fahad Rahman | 59W / 120L / 16D | |
| grandmasteroftime | 0W / 1L / 0D | |
| Abu Sufian, shakil | 3W / 2L / 0D | |
| sykvio | 1W / 0L / 0D | |
| madmaxpayne26 | 0W / 1L / 0D | |
| sajid0987654321 | 9W / 7L / 1D | |
| prodigy0002 | 1W / 0L / 0D | |
| demon-magnus | 7W / 1L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| extremetactician71 | 415W / 235L / 51D | |
| extremetactician | 353W / 124L / 15D | |
| Manon Reja Neer | 259W / 119L / 18D | |
| Soham Bhattacharyya | 126W / 166L / 18D | |
| Rakesh Kulkarni | 171W / 102L / 14D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2606 | 2607 | 2248 | 1181 |
| 2024 | 2612 | 2698 | 2251 | 1350 |
| 2023 | 2376 | 2350 | 2251 | 1348 |
| 2022 | 2316 | 2350 | 2250 | 1300 |
| 2021 | 2335 | 2400 | 2276 | 1656 |
| 2020 | 2500 | 2340 | 2250 | 2139 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 112W / 95L / 11D | 110W / 102L / 16D | 83.6 |
| 2024 | 216W / 166L / 31D | 183W / 204L / 27D | 82.0 |
| 2023 | 194W / 177L / 23D | 163W / 194L / 32D | 76.5 |
| 2022 | 239W / 252L / 54D | 227W / 277L / 34D | 77.2 |
| 2021 | 949W / 996L / 126D | 884W / 1071L / 137D | 81.8 |
| 2020 | 2279W / 1870L / 274D | 2193W / 1944L / 264D | 80.8 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 822 | 374 | 370 | 78 | 45.5% |
| Amazon Attack: Siberian Attack | 561 | 261 | 260 | 40 | 46.5% |
| London System: Poisoned Pawn Variation | 324 | 163 | 138 | 23 | 50.3% |
| Caro-Kann Defense: Exchange Variation | 246 | 108 | 116 | 22 | 43.9% |
| Amazon Attack | 210 | 95 | 98 | 17 | 45.2% |
| Döry Defense | 200 | 82 | 101 | 17 | 41.0% |
| Unknown | 155 | 78 | 74 | 3 | 50.3% |
| Australian Defense | 109 | 53 | 46 | 10 | 48.6% |
| Slav Defense: Bonet Gambit | 104 | 45 | 44 | 15 | 43.3% |
| Modern | 97 | 34 | 57 | 6 | 35.0% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Caro-Kann Defense | 34 | 19 | 15 | 0 | 55.9% |
| Unknown | 29 | 21 | 8 | 0 | 72.4% |
| Barnes Defense | 18 | 13 | 4 | 1 | 72.2% |
| London System: Poisoned Pawn Variation | 16 | 5 | 10 | 1 | 31.2% |
| Amazon Attack: Siberian Attack | 15 | 4 | 10 | 1 | 26.7% |
| Australian Defense | 13 | 11 | 2 | 0 | 84.6% |
| Caro-Kann Defense: Exchange Variation | 13 | 6 | 7 | 0 | 46.1% |
| Amazon Attack | 11 | 4 | 6 | 1 | 36.4% |
| Modern | 7 | 2 | 5 | 0 | 28.6% |
| Döry Defense | 7 | 2 | 4 | 1 | 28.6% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Colle System: Rhamphorhynchus Variation | 944 | 465 | 435 | 44 | 49.3% |
| Hungarian Opening: Wiedenhagen-Beta Gambit | 922 | 422 | 452 | 48 | 45.8% |
| Caro-Kann Defense | 763 | 376 | 345 | 42 | 49.3% |
| Amar Gambit | 562 | 293 | 245 | 24 | 52.1% |
| King's Indian Attack | 484 | 253 | 207 | 24 | 52.3% |
| London System: Poisoned Pawn Variation | 455 | 232 | 201 | 22 | 51.0% |
| Caro-Kann Defense: Exchange Variation | 244 | 120 | 110 | 14 | 49.2% |
| English Opening: Agincourt Defense | 235 | 135 | 86 | 14 | 57.5% |
| Indian Defense: Przepiorka Variation | 233 | 129 | 93 | 11 | 55.4% |
| Slav Defense: Bonet Gambit | 221 | 114 | 93 | 14 | 51.6% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack: Siberian Attack | 29 | 12 | 13 | 4 | 41.4% |
| Caro-Kann Defense | 27 | 13 | 8 | 6 | 48.1% |
| London System: Poisoned Pawn Variation | 22 | 14 | 7 | 1 | 63.6% |
| Döry Defense | 11 | 3 | 7 | 1 | 27.3% |
| Slav Defense: Bonet Gambit | 11 | 6 | 5 | 0 | 54.5% |
| Amazon Attack | 10 | 6 | 4 | 0 | 60.0% |
| Caro-Kann Defense: Exchange Variation | 8 | 2 | 3 | 3 | 25.0% |
| Indian Defense: Przepiorka Variation | 8 | 5 | 2 | 1 | 62.5% |
| French Defense | 7 | 5 | 1 | 1 | 71.4% |
| Australian Defense | 6 | 5 | 1 | 0 | 83.3% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 28 | 0 |
| Losing | 20 | 1 |