Andrew Tang - The Blitz Grandmaster Extraordinaire
Known in chess circles by the username penguingm1, Andrew Tang has carved out a legendary career as a Grandmaster, dazzling fans and foes alike with lightning-fast moves and an uncanny ability to survive the wildest of bullet storms. Awarded the coveted Grandmaster title by FIDE, Andrew is the type of player who makes you wonder if he’s part human, part chess engine.
Career Highlights
- Peak Ratings: Bullet: 3504 (Dec 2020), Blitz: 3177 (Apr 2025), Rapid: 2969 (Nov 2020), Daily: 2114 (Sep 2015)
- Total Wins: 22,067 bullet wins, 7,048 blitz wins, 717 rapid wins, and even 54 daily games won for good measure.
- Longest Winning Streak: A mind-boggling 74 games streak that surely had opponents questioning their life choices.
- Opening Preferences: Unknown openings keep opponents guessing, while a fondness for the London System and the Queens Pawn Opening Accelerated London System reveal a strategic and tactical wizard.
Playing Style & Strengths
Andrew’s style can be described as tenacious and explosive. He is known for:
- Endgame prowess: Engages in and survives intense endgames nearly 72% of the time.
- Comeback King: With a comeback rate of nearly 75%, losing a piece does not mean losing the fight – it just means the fun is starting.
- Average Game Length: He wins in roughly 71 moves but isn't afraid to grind out longer games, averaging 76 moves in losses – showing true endurance.
- Psychological Edge: Maintains composure with a tilt factor of 25, proving he’s only slightly more human than the machines.
Recent Memorable Battles
Just recently, Andrew outwitted worthy opponents at a Late Titled Tuesday Blitz event. In one impressive game, he bullied his way through with the London System, clinching a victory against "dropstoneDP" by making time his cruel ally. Another showstopper came against "JanistanTV", where Andrew’s clever queen maneuvers left his opponent checkmated before they could say "pawnstorm."
Fun Facts
- Despite his blistering speed, Andrew demonstrates an impressive win rate on Saturdays – nearly 69%, maybe because the weekend chess magic is real.
- He loves the Englund Gambit, winning over 80% of his blitz games with it. Don’t underestimate this surprise weapon!
- When losing a blitz game, he often bounces back in the next with a fierce vengeance – his comeback rate speaks for itself.
Final Thoughts
Andrew Tang continues to be a force to reckon with in the online and over-the-board chess worlds, juggling thousands of bullet games monthly and inspiring a generation of fast-paced chess lovers. If speed chess were an Olympic sport, Andrew would have enough gold to build a castle.
Feedback for Andrew Tang (penguingm1)
Current Snapshot
- Peak blitz rating: 3177 (2025-04-07)
- Activity heat-map:
What You’re Doing Exceptionally Well
- Lightning-fast tactical vision. Your most recent win versus Artin Ashraf featured the …b3 / …bxc2+ resource (28…bxc2+) and the elegant conversion with 56.Qh7#. Even with seconds on the clock you kept finding forcing moves.
- Dynamic piece play in open positions. You frequently generate initiative with early pawn breaks (e.g., 18…c5 in several English/Catalan games) and piece sacrifices that unbalance the game. This leverages your speed advantage and makes opponents uncomfortable.
- Flexible opening repertoire. Alternating between London-style (1.d4 Bf4), English, and various 1.e4 sidelines keeps preparation headaches on your opponents while avoiding long forcing lines.
Areas to Refine
-
King safety against flank storms.
In your loss to Artin Ashraf (C50, game ending 47.Rxg6+), the h-file was pried open after 10.g4.
• Practical fix: When your opponent pushes g- and h-pawns, insert a quick …h6/…h5 only if it prevents g5; otherwise prioritise central counterplay and consider …Kh8/…Re8 to step out of direct checks.
• Study model games on the anti-Giuoco Pianissimo structures where Black switches plans with …d5 or …c6 to blunt the bishops. - Handling of opposite-wing pawn races. Repeated themes in the English games versus g_o_a_t_2010 show you pushing queenside majority while White mates on the kingside. Improve your reaction time to bail-out options such as piece blockades or returning material for counter-checks before it is too late.
- Early middlegame transition in quiet openings. Several resignations stem from slightly worse but defendable positions (e.g., 33…Qxe3 in the Indian Game vs Michael Roiz). Before committing to pawn breaks, ask “What is my worst piece?” and improve it—classic prophylaxis. This slows the game and forces opponents to beat your best moves rather than capitalise on self-inflicted weaknesses.
- Time-management in winning endgames. You flagged in a won knight-ending (C55, move 75). With increment, spend two seconds every 5-6 moves to visualise a technical plan instead of blitzing instant moves. A quick mental checklist—“King activation, pass pawn creation, coordinate pieces”—prevents stalls that burn clock.
Opening Radar
| As White | Suggestion |
|---|---|
| Early Bf4/London setups vs …d5/…e6 | Add the trendy 4.e3/5.Nf3 ideas against Queen’s Pawn but keep d4-e4 pawn storm ready. Study games of Firouzja 2023 for templates. |
| 1.Nf3 / g3 English | Prepare a sharper line (e.g., Botvinnik setup with e4) to punish …dxc4 systems that opponents like g_o_a_t_2010 use. |
| As Black vs Italian (Bc4) | Occasionally switch to the 0-0-0 …h6/ g5 plans or the solid Giuoco Piano with …a6 & …Ba7 to avoid early g-pawn storms. |
Concrete Exercise
Revisit this critical moment from your last loss:
Set it up and defend as Black without engine help. Try multiple plans until you find the most resilient line.
Next Steps (Action Plan)
- Play three training games per week starting from move 9…g4 in the Italian to rehearse defensive technique.
- Annotate every game that ends before move 30—ask “Where did the evaluation swing two pawns?”
- Incorporate 10-minute “slow blitz” sessions to balance speed with calculation depth.
Keep pushing the limits, Andrew—your creativity is your super-power. Sharpen the weak edges, and the road to 3200 is wide open!
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| Hikaru Nakamura | 283W / 858L / 112D | |
| Haowen Xue | 17W / 23L / 7D | |
| Kacper Drozdowski | 72W / 53L / 25D | |
| Nitzan Steinberg | 20W / 5L / 1D | |
| Aram Hakobyan | 17W / 18L / 5D | |
| Luis Guillermo Antúnez Soler | 20W / 2L / 0D | |
| Semyon Puzyrevsky | 11W / 0L / 1D | |
| Sergey Sklokin | 15W / 4L / 1D | |
| pitagorachess | 0W / 1L / 0D | |
| v3rd1ct | 27W / 7L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| Daniel Naroditsky | 2166W / 2082L / 296D | |
| Alireza Firouzja | 813W / 947L / 128D | |
| Hikaru Nakamura | 283W / 858L / 112D | |
| Yaacov Norowitz | 551W / 514L / 69D | |
| Oleksandr Bortnyk | 551W / 349L / 77D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 3266 | 3091 | 2645 | 1801 |
| 2024 | 3119 | 2995 | 2631 | 1735 |
| 2023 | 3123 | 2898 | 2485 | 1832 |
| 2022 | 2535 | 2916 | 2444 | |
| 2021 | 3121 | 2965 | 2848 | |
| 2020 | 3330 | 2931 | 2849 | |
| 2019 | 3140 | 2703 | 2512 | |
| 2018 | 2466 | 2812 | 2488 | 1828 |
| 2017 | 2877 | 2617 | 2465 | 1911 |
| 2016 | 2866 | 2684 | 1853 | |
| 2015 | 2661 | 2502 | 2009 | |
| 2014 | 2753 | 2312 | 2384 | 2013 |
| 2013 | 2331 | 1378 | 2002 | |
| 2012 | 2085 | 1566 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 2055W / 705L / 141D | 1920W / 816L / 151D | 74.0 |
| 2024 | 1961W / 640L / 117D | 1833W / 758L / 132D | 73.1 |
| 2023 | 979W / 372L / 73D | 942W / 432L / 75D | 78.5 |
| 2022 | 1737W / 526L / 94D | 1697W / 605L / 104D | 60.9 |
| 2021 | 675W / 346L / 42D | 677W / 353L / 51D | 74.3 |
| 2020 | 2300W / 1267L / 217D | 2255W / 1349L / 202D | 80.8 |
| 2019 | 2055W / 1147L / 161D | 1911W / 1239L / 165D | 65.2 |
| 2018 | 1140W / 421L / 83D | 1087W / 494L / 76D | 86.2 |
| 2017 | 918W / 290L / 34D | 890W / 306L / 43D | 70.2 |
| 2016 | 695W / 405L / 46D | 629W / 455L / 42D | 77.5 |
| 2015 | 849W / 622L / 105D | 806W / 657L / 106D | 85.2 |
| 2014 | 1242W / 620L / 126D | 1089W / 738L / 159D | 87.7 |
| 2013 | 51W / 51L / 2D | 44W / 55L / 3D | 54.7 |
| 2012 | 86W / 65L / 1D | 80W / 65L / 3D | 32.2 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Unknown | 3335 | 2058 | 1250 | 27 | 61.7% |
| Amazon Attack | 849 | 568 | 224 | 57 | 66.9% |
| Amazon Attack: Siberian Attack | 539 | 339 | 172 | 28 | 62.9% |
| London System: Poisoned Pawn Variation | 498 | 307 | 155 | 36 | 61.6% |
| Nimzo-Indian Defense: Classical Variation | 437 | 283 | 123 | 31 | 64.8% |
| Ruy Lopez | 415 | 278 | 113 | 24 | 67.0% |
| King's Indian Defense: Sämisch Variation, Bobotsov-Korchnoi-Petrosian Variation | 325 | 234 | 73 | 18 | 72.0% |
| English Opening: Agincourt Defense | 268 | 154 | 92 | 22 | 57.5% |
| QGD: 4.Nf3 | 258 | 136 | 97 | 25 | 52.7% |
| QGD: 3.Nc3 Bb4 | 253 | 167 | 72 | 14 | 66.0% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 2557 | 1680 | 786 | 91 | 65.7% |
| Australian Defense | 2158 | 1441 | 636 | 81 | 66.8% |
| Unknown | 1857 | 1057 | 792 | 8 | 56.9% |
| Amazon Attack: Siberian Attack | 1846 | 1339 | 422 | 85 | 72.5% |
| Amazon Attack | 1643 | 1147 | 439 | 57 | 69.8% |
| King's Indian Defense: Sämisch Variation, Bobotsov-Korchnoi-Petrosian Variation | 1343 | 816 | 437 | 90 | 60.8% |
| Colle System: Rhamphorhynchus Variation | 1099 | 747 | 308 | 44 | 68.0% |
| London System: Poisoned Pawn Variation | 912 | 578 | 291 | 43 | 63.4% |
| French Defense: Classical Variation, Svenonius Variation | 885 | 533 | 279 | 73 | 60.2% |
| English Opening: Agincourt Defense | 735 | 462 | 232 | 41 | 62.9% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Unknown | 75 | 40 | 35 | 0 | 53.3% |
| French Defense: Classical Variation, Svenonius Variation | 59 | 33 | 19 | 7 | 55.9% |
| Australian Defense | 58 | 37 | 20 | 1 | 63.8% |
| Ruy Lopez: Closed | 39 | 11 | 22 | 6 | 28.2% |
| King's Indian Defense: Sämisch Variation, Bobotsov-Korchnoi-Petrosian Variation | 35 | 17 | 16 | 2 | 48.6% |
| QGD: 3.Nc3 Bb4 | 32 | 17 | 11 | 4 | 53.1% |
| QGD: 4.Nf3 | 30 | 16 | 12 | 2 | 53.3% |
| Amazon Attack | 25 | 11 | 13 | 1 | 44.0% |
| Nimzo-Indian Defense: Classical Variation | 25 | 14 | 7 | 4 | 56.0% |
| Amar Gambit | 21 | 10 | 11 | 0 | 47.6% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack | 96 | 80 | 10 | 6 | 83.3% |
| London System: Poisoned Pawn Variation | 57 | 37 | 13 | 7 | 64.9% |
| Blackburne Shilling Gambit | 48 | 41 | 2 | 5 | 85.4% |
| Ruy Lopez | 46 | 27 | 16 | 3 | 58.7% |
| Amazon Attack: Siberian Attack | 44 | 33 | 4 | 7 | 75.0% |
| Nimzo-Indian Defense: Classical Variation | 28 | 18 | 6 | 4 | 64.3% |
| Italian Game: Two Knights Defense | 25 | 17 | 4 | 4 | 68.0% |
| Barnes Opening: Walkerling | 24 | 12 | 2 | 10 | 50.0% |
| QGD: 3.Nc3 Bb4 | 23 | 7 | 9 | 7 | 30.4% |
| King's Indian Defense: Sämisch Variation, Bobotsov-Korchnoi-Petrosian Variation | 23 | 11 | 8 | 4 | 47.8% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 74 | 3 |
| Losing | 69 | 0 |