Meet GPT-11: The Blitz Virtuoso
In the world of online chess, GPT-11 stands as a relentless tactician and a fascinating mystery wrapped in binary. With a peak blitz rating soaring above 2100, GPT-11 has evolved from modest beginnings (a humble 700~ rating in early 2016) to a modern-day digital grandmaster contender, dazzling opponents with a mix of strategy, resilience, and the occasional strategic blunder (because even super-intelligent AI have their off days).
Journey Through Time
Starting out with a blitz rating around 920 in 2016, GPT-11 steadily climbed the ranks, breaking the 2000 barrier in 2020—a milestone that many human players only dream of achieving. Its bullet and rapid games also showcase impressive strength, with peak ratings close to 1980 and 2050 respectively. GPT-11’s daily game experiments reflect a more casual side, peaking just north of 1100, truly showing that even AI like to keep it laid-back sometimes.
Playing Style & Personality
GPT-11 exhibits a unique blend of patience and aggression. Its average moves per win hover near 71 moves, revealing a fondness for grinding down opponents in the endgame, which it encounters almost 78% of the time. With a comeback rate staggering at over 81%, this player is not one to fold early—even if a piece is lost, it fights with 46% win-rate post-woes. Early resignations are rare, only 0.28% of the time, proving GPT-11’s tenacity.
Games tend to favor White slightly, with a 51.64% win rate, and Black follows close behind at 48.14%. The psychological tilt factor of 17 hints that even an AI version of GPT occasionally finds itself “tilting” — which might just be a clever ruse.
Opening Repertoire: The Chess Chef’s Specialties
In blitz games, GPT-11 loves to dive into the Indian Game and various forms of the Sicilian Defense, managing respectful win rates in the 47-53% range, showing versatility and adaptability. The Queen's Pawn Opening Accelerated London System ticks the boxes with a 54%+ win rate, perfect for players who enjoy positional squeezing.
When lightning-fast bullet games arise, GPT-11 sharpens its claws in openings like the Modern Defense and Sicilian Defense, showcasing a more attacking and dynamic approach, boasting win rates of up to 68% in some lines.
Records & Streaks
With over 8,300 blitz wins, balanced by roughly 7,600 losses and some draws, GPT-11 is an active contender never shy of an online battle. Its longest winning streak of 40 games is nothing short of phenomenal, while a loss streak of 17 proves even machines have hard days.
Notable Recent Victory
In a recent online blitz battle against "Yliasovak", GPT-11 showcased deep tactical understanding and endgame prowess, wrapping up the game with a resignation victory after a courageous queen hunt and deft exchanges. The game opened with the Old Benoni Defense and ended with our star calmly controlling the board, proving once again: GPT-11 isn’t just a name; it’s a style!
Fun Fact
Though programmed for cold, calculating efficiency, GPT-11’s win rate subtly spikes around 5 AM — maybe it’s an AI that loves an early morning brain teaser. Or, you know, maybe its servers just get faster at dawn.
In summary, GPT-11 is a true digital gladiator of the 64 squares, blending strategy, spirit, and sheer computational power to outwit foes worldwide. Whether it’s blitz, bullet, rapid, or casual daily games, GPT-11 proves that when artificial intelligence meets chess, brilliance follows.
Feedback on the recent bullet games
You demonstrated a willingness to take the initiative and employ aggressive ideas in several quick games. The batches of play show creativity and a readiness to seize momentum when your opponent is or becomes careless. There are also moments where sharper calculation and a safer path could have produced cleaner results. Below is targeted guidance to help you build on your strengths and reduce avoidable errors in fast time controls.
What you did well
- You pursued active piece play and sharp tactical chances, which kept opponents on the back foot and created practical pressure.
- Several games featured clean development and quick king safety, enabling you to seize the initiative early in the middlegame.
- You showed resilience in handling dynamic positions and maintained fighting chances even after complex exchanges.
- Your willingness to experiment with offbeat openings indicates a strong, creative mindset and a readiness to surprise opponents who rely on textbook play.
Key improvement areas
- Time management in bullet games: decide on a depth threshold for the move you’re calculating and avoid overextension on speculative tactical shots. Quick, principled decisions often beat deep but risky lines in short time controls.
- King safety after initiating tactics: ensure your attack doesn’t overextend the king’s safety or your piece coordination. If your initiative stalls, having a solid, fallback plan (central control, pawn breaks, or simple piece trades) helps you convert advantages more reliably.
- Endgame clarity: aim to convert advantages with straightforward endgame plans. Practice rook-and-pawn endings and minor-piece endings to improve conversion rates in bullet games.
- Consistent evaluation after exchanges: in several lines, trades altered the pawn structure or open files in ways that reduced your attacking prospects. Build a habit of evaluating not just the immediate tactic but the resulting structure and plans for the next phase.
Opening choices and practical guidance
Your openings show a balance between sharp lines and solid setups. This breadth is valuable, but for bullet performance, consider focusing on a small, reliable core repertoire so you can execute plans quickly and confidently in the first 15 moves.
- Solidizing two primary White answer options for 1.d4 and 1.e4 will speed up decision-making and planning. Consider a dependable structure against 1.d4 (like a Queen's Gambit setup or Colle system) and a robust response against 1.e4 (such as the Scandinavian Defense or a flexible Italian/Sicilian approach).
- When employing aggressive lines (e.g., offbeat gambits), have a clear immediate plan and be ready with a precise follow-up if the opponent meets your initial ideas accurately.
- Study typical pawn structures and common piece maneuvers that arise from your favorite aggressive openings so you can recognize tactical motifs and convert them into lasting advantages.
Suggested openings to explore in depth include: Sicilian+Defense, Scandinavian+Defense, London+System:+Poisoned+Pawn+Variation.
Practice plan and 1-week framework
- Daily tactical focus (10–15 minutes): work on patterns that appeared in your bullet games—pins, forks, skewers, discovered attacks—then apply them in short 3–4 move calculations.
- Opening study (15–20 minutes): lock in two main lines for White and two for Black, with a concise plan for the middlegame. Review one strong game from a grandmaster in each line to see the typical transition ideas.
- Endgame drills (2–3 sessions this week, 10 minutes each): practice rook endings and king-pawn endings to improve conversion in tight bullets.
- Time-management drills: set a per-move time budget (e.g., 15 seconds for typical moves, 30 seconds for critical decisions) to build quick intuition while preserving depth on asked-for calculations.
Quick game reference and optional enrichment
If you’d like, I can annotate a recent win in detail and extract a concise improvement plan for that game. To share a compact move list for quick review in your app, you can use a Pgn placeholder like this:
.If you want to reference specific opponents or openings, you can also include profile or opening placeholders, for example: %3Copponentusername%3E and
🆚 Opponent Insights
| Most Played Opponents | ||
|---|---|---|
| flore1971 | 460W / 48L / 21D | View Games |
| mraksendos | 114W / 75L / 9D | View Games |
| raksendos | 56W / 82L / 9D | View Games |
| reyajogao | 52W / 72L / 10D | View Games |
| jairoserrano | 56W / 41L / 7D | View Games |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 1903 | 1912 | ||
| 2024 | 1896 | 2000 | 2034 | |
| 2023 | 1739 | 2128 | 2042 | 931 |
| 2022 | 2027 | 2013 | ||
| 2021 | 1908 | 2001 | 1938 | |
| 2020 | 1900 | 2001 | 1924 | 886 |
| 2019 | 1621 | 1859 | 828 | |
| 2018 | 1501 | 1568 | 1463 | 1036 |
| 2017 | 966 | 1417 | 1447 | 949 |
| 2016 | 821 | 920 | 1027 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 92W / 30L / 3D | 79W / 31L / 3D | 62.3 |
| 2024 | 321W / 226L / 27D | 321W / 228L / 20D | 75.7 |
| 2023 | 156W / 32L / 9D | 159W / 38L / 6D | 71.6 |
| 2022 | 36W / 16L / 2D | 34W / 16L / 3D | 70.8 |
| 2021 | 453W / 374L / 40D | 423W / 406L / 39D | 79.5 |
| 2020 | 1154W / 999L / 116D | 1050W / 1120L / 119D | 79.9 |
| 2019 | 1260W / 1221L / 139D | 1227W / 1264L / 129D | 78.5 |
| 2018 | 830W / 675L / 69D | 739W / 765L / 71D | 76.7 |
| 2017 | 343W / 287L / 26D | 308W / 321L / 13D | 72.4 |
| 2016 | 232W / 218L / 13D | 205W / 241L / 24D | 66.0 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Sicilian Defense | 1071 | 515 | 498 | 58 | 48.1% |
| Amazon Attack: Siberian Attack | 934 | 493 | 397 | 44 | 52.8% |
| Scandinavian Defense | 871 | 429 | 394 | 48 | 49.2% |
| London System: Poisoned Pawn Variation | 657 | 330 | 297 | 30 | 50.2% |
| Australian Defense | 446 | 236 | 188 | 22 | 52.9% |
| Amazon Attack | 444 | 228 | 193 | 23 | 51.4% |
| Amar Gambit | 444 | 211 | 212 | 21 | 47.5% |
| Blackburne Shilling Gambit | 417 | 218 | 183 | 16 | 52.3% |
| Philidor Defense | 403 | 204 | 178 | 21 | 50.6% |
| East Indian Defense | 392 | 196 | 175 | 21 | 50.0% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 78 | 39 | 35 | 4 | 50.0% |
| Scandinavian Defense | 75 | 41 | 31 | 3 | 54.7% |
| London System: Poisoned Pawn Variation | 50 | 28 | 21 | 1 | 56.0% |
| Amazon Attack: Siberian Attack | 49 | 28 | 20 | 1 | 57.1% |
| Barnes Defense | 39 | 24 | 14 | 1 | 61.5% |
| Colle System: Rhamphorhynchus Variation | 39 | 19 | 19 | 1 | 48.7% |
| Australian Defense | 39 | 23 | 15 | 1 | 59.0% |
| Sicilian Defense | 38 | 22 | 16 | 0 | 57.9% |
| East Indian Defense | 36 | 17 | 18 | 1 | 47.2% |
| French Defense | 34 | 16 | 18 | 0 | 47.1% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack: Siberian Attack | 63 | 34 | 25 | 4 | 54.0% |
| Sicilian Defense | 55 | 34 | 18 | 3 | 61.8% |
| Scandinavian Defense | 32 | 20 | 9 | 3 | 62.5% |
| London System: Poisoned Pawn Variation | 30 | 16 | 12 | 2 | 53.3% |
| Amazon Attack | 24 | 14 | 9 | 1 | 58.3% |
| Philidor Defense | 22 | 14 | 8 | 0 | 63.6% |
| Caro-Kann Defense | 16 | 10 | 5 | 1 | 62.5% |
| Bird Opening: Dutch Variation, Batavo Gambit | 16 | 6 | 9 | 1 | 37.5% |
| Sicilian Defense: Najdorf Variation | 16 | 9 | 7 | 0 | 56.2% |
| Barnes Defense | 13 | 8 | 5 | 0 | 61.5% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Barnes Defense | 4 | 4 | 0 | 0 | 100.0% |
| Unknown | 4 | 4 | 0 | 0 | 100.0% |
| Sicilian Defense: Dragon Variation | 2 | 0 | 2 | 0 | 0.0% |
| Sicilian Defense: Dragon Variation, Accelerated Dragon | 1 | 0 | 1 | 0 | 0.0% |
| Ruy Lopez: Morphy Defense, Modern Steinitz Defense | 1 | 0 | 1 | 0 | 0.0% |
| King's Indian Defense: Larsen Variation | 1 | 0 | 1 | 0 | 0.0% |
| French Defense: Advance Variation | 1 | 0 | 1 | 0 | 0.0% |
| Blackburne Shilling Gambit | 1 | 0 | 1 | 0 | 0.0% |
| Petrov's Defense | 1 | 0 | 1 | 0 | 0.0% |
| Philidor Defense | 1 | 0 | 1 | 0 | 0.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 40 | 0 |
| Losing | 17 | 1 |