FIDE Master Maxim Omariev (aka MaxLeto)
Maxim Omariev is a chess player who proudly carries the prestigious title of FIDE Master. Known in the chess world as MaxLeto, they blend strategic brilliance with a dash of flair—enough to keep opponents guessing and fans entertained.
With a peak blitz rating soaring to an impressive 2619 in April 2025, Maxim has cemented their status as a formidable force in fast-paced chess. Their bullet rating isn’t far behind, peaking at 2604 in late 2022, while their rapid skills reached a respectable 2089 in 2023. Daily chess might be their casual playground, but blitz and bullet are undoubtedly where they shine brightest.
Maxim’s games reveal a fierce and resilient playing style. They never shy away from a tough battle on the board, boasting a remarkable longest winning streak of 21 games—talk about hot streaks! Their comeback rate of nearly 74% shows they’re not the type to throw in the towel easily, even when down a piece. However, a tilt factor of 12 suggests they’re human too—passionate yet determined.
Their choice of openings is a mystery even to seasoned commentators, categorized playfully as "Top Secret" with over 14,700 blitz games. But some clues include a fondness for the Nimzowitsch Larsen Attack Indian Variation and the Sicilian Defense Canal Attack among others, proving their versatility.
Fun fact: Maxim’s best time to play, according to statistics, is at 9 AM. So if you want to challenge them, maybe set your alarms early (or at least hope for a slower morning).
On the psychological battlefield, MaxLeto maintains a subtle edge with a slightly higher win rate as White (53%) compared to Black (50%). They average around 70 moves per game, showing persistence deep into the endgame—often the decisive phase where champions are made.
Recent Highlights
In a thrilling recent victory, Maxim crushed the opposition with a dazzling display of the Nimzowitsch Larsen Attack Indian Variation, winning by checkmate. This game encapsulated their blend of tactical awareness, patience, and flair.
Whether conquering opponents known as chessplayedquick2006 or maneuvering through groves of tricky positions, MaxLeto’s journey through the ranks is a testament to dedication, skill, and a love for the game.
Opponents beware: Maxim Omariev plays chess like a grandmaster with the heart of a gladiator; sharp, calculated, and, against all odds, never boring.
Chess Improvement Feedback for Maxim Omariev
Maxim, your recent games show a solid understanding of opening principles and strategic plans, especially in less common openings like the Nimzowitsch-Larsen Attack and Grob Opening. Here are some constructive insights to help you continue improving:
Strengths:
- Opening Variety: You are comfortable experimenting with flexible first moves such as 1.b3 and 1.g4, which is great for becoming a well-rounded player.
- Piece Activity: You demonstrate good ability to develop pieces harmoniously and create pressure on your opponent’s position, as seen in your convincing victories.
- Complex Tactical Awareness: Several games finished with you exploiting tactical opportunities and complex endgames, which is an excellent skill to cultivate.
Areas to Focus On:
- Opening Stability and Structure: In a few losses, your opponents gained quick momentum after questionable early pawn moves (for example, pushing the g- and f-pawns too aggressively). Ensure your pawn structure remains sound before launching attacks.
- Handling Unexpected Aggressive Play: Some of your losses featured opponents employing sharp, opponent-forcing lines quickly (e.g., gambits or early attacks). Practicing defensive resourcefulness and consolidating your position under pressure will help reduce losses in these situations.
- Time Management: While you generally use your time well, there are moments where faster decision-making can keep your clock healthier in complex positions, allowing more time for critical moments.
- Endgame Technique: Work on endgames like rook and pawn endings or minor piece endgames to convert advantages more reliably and avoid tricky complications.
Detailed Example from Your Most Recent Win:
In your game against kaustubh85, you employed 1.b3 and calmly developed pieces while pressuring weaknesses in Black's camp. Your patience and timely pawn breaks in the center (such as e4 and f4) showcased understanding of dynamic play. The transition to a strong attack on the kingside with precise calculation led to your opponent’s resignation. Great job! Continuing to balance slow buildup with sharp tactics will serve you well.
Next Steps for Training:
- Review common pawn structures arising from the Nimzowitsch-Larsen Attack to better anticipate and neutralize opponent strategies.
- Practice tactical puzzles focusing on defense and counterattack to improve resilience when under fire.
- Train endgame fundamentals regularly — particularly rook and pawn endings — to convert winning positions more confidently.
- Keep analyzing your losses critically to identify recurring patterns of difficulty and work specifically on those areas.
Remember that steady progress in chess is a mix of sharpening calculation skills, improving positional understanding, and efficient time usage. Keep up your enthusiasm and focus, and the results will follow!
🆚 Opponent Insights
| Recent Opponents | ||
|---|---|---|
| aylvax | 3W / 3L / 0D | |
| chessvntroll | 1W / 0L / 0D | |
| Ian Ocampos | 2W / 0L / 0D | |
| Sasandu Upeksha Dissanayake | 1W / 0L / 0D | |
| josesande | 1W / 0L / 1D | |
| kirill_zaitsev | 3W / 0L / 0D | |
| libertatea | 3W / 4L / 0D | |
| Peter Williams | 1W / 0L / 0D | |
| Matteo Pitzanti | 0W / 1L / 0D | |
| rip-danielnaroditsky | 0W / 1L / 0D | |
| Most Played Opponents | ||
|---|---|---|
| Dina Belenkaya | 30W / 22L / 3D | |
| chesscoachua | 12W / 18L / 1D | |
| grandemas | 17W / 14L / 0D | |
| Evgenij Shuvalov | 9W / 19L / 0D | |
| sportyspice | 11W / 14L / 0D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 2601 | 2596 | 2077 | 1322 |
| 2024 | 2587 | 2517 | ||
| 2023 | 2586 | 2424 | 2053 | |
| 2022 | 2604 | 2421 | 1965 | |
| 2021 | 2479 | 2492 | 1916 | |
| 2020 | 2364 | 2407 | 1902 | |
| 2019 | 2379 | 2319 | 1984 | |
| 2018 | 2302 | |||
| 2017 | 2403 | 2388 | 1846 | 1322 |
| 2016 | 2376 | 2183 | 1803 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 561W / 491L / 80D | 525W / 513L / 72D | 82.1 |
| 2024 | 576W / 489L / 54D | 532W / 539L / 59D | 79.7 |
| 2023 | 428W / 350L / 40D | 368W / 369L / 46D | 80.6 |
| 2022 | 470W / 437L / 36D | 418W / 454L / 58D | 80.6 |
| 2021 | 498W / 427L / 39D | 473W / 438L / 51D | 68.4 |
| 2020 | 630W / 463L / 40D | 598W / 469L / 56D | 68.2 |
| 2019 | 205W / 121L / 18D | 202W / 117L / 15D | 76.7 |
| 2018 | 132W / 97L / 10D | 124W / 93L / 10D | 75.8 |
| 2017 | 544W / 388L / 48D | 502W / 437L / 36D | 73.3 |
| 2016 | 617W / 486L / 34D | 638W / 504L / 27D | 55.0 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 2184 | 1128 | 964 | 92 | 51.6% |
| Nimzo-Larsen Attack | 2108 | 1114 | 873 | 121 | 52.9% |
| Unknown | 1691 | 918 | 769 | 4 | 54.3% |
| Sicilian Defense: Najdorf Variation | 876 | 478 | 354 | 44 | 54.6% |
| Australian Defense | 543 | 260 | 253 | 30 | 47.9% |
| Sicilian Defense | 474 | 221 | 227 | 26 | 46.6% |
| Sicilian Defense: Closed | 409 | 210 | 180 | 19 | 51.3% |
| Amazon Attack | 356 | 172 | 161 | 23 | 48.3% |
| London System: Poisoned Pawn Variation | 342 | 164 | 154 | 24 | 48.0% |
| Barnes Defense | 305 | 152 | 144 | 9 | 49.8% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 251 | 138 | 101 | 12 | 55.0% |
| Nimzo-Larsen Attack | 112 | 67 | 41 | 4 | 59.8% |
| Colle System: Rhamphorhynchus Variation | 92 | 46 | 41 | 5 | 50.0% |
| Barnes Defense | 89 | 56 | 31 | 2 | 62.9% |
| Australian Defense | 57 | 33 | 22 | 2 | 57.9% |
| Caro-Kann Defense | 39 | 15 | 22 | 2 | 38.5% |
| Sicilian Defense: Closed | 34 | 16 | 18 | 0 | 47.1% |
| Amazon Attack | 28 | 13 | 14 | 1 | 46.4% |
| London System: Poisoned Pawn Variation | 26 | 12 | 12 | 2 | 46.1% |
| Nimzo-Larsen Attack: Classical Variation | 22 | 13 | 9 | 0 | 59.1% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amar Gambit | 23 | 19 | 3 | 1 | 82.6% |
| Sicilian Defense: Najdorf Variation | 20 | 20 | 0 | 0 | 100.0% |
| Sicilian Defense | 17 | 15 | 1 | 1 | 88.2% |
| Unknown | 14 | 2 | 12 | 0 | 14.3% |
| Amazon Attack | 11 | 10 | 0 | 1 | 90.9% |
| Nimzo-Larsen Attack | 10 | 9 | 1 | 0 | 90.0% |
| Australian Defense | 10 | 7 | 3 | 0 | 70.0% |
| London System: Poisoned Pawn Variation | 9 | 5 | 4 | 0 | 55.6% |
| Amazon Attack: Siberian Attack | 7 | 7 | 0 | 0 | 100.0% |
| Barnes Defense | 6 | 2 | 4 | 0 | 33.3% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Sicilian Defense: Najdorf Variation | 1 | 1 | 0 | 0 | 100.0% |
| Sicilian Defense | 1 | 1 | 0 | 0 | 100.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 21 | 1 |
| Losing | 12 | 0 |