Brendan Mak (NyanBun) - Chess Player Profile
Brendan Mak, famously known by the playful moniker "NyanBun," is a chess enthusiast whose game has evolved like a well-adapted species in the wild ecosystem of competitive chess. From early skirmishes in 2013 with a rapid rating of just over 1000, Brendan has grown his rating steadily, flourishing to reach a peak rapid rating of 1606 by 2025—a true evolutionary success story in the realm of pawn-pushing and knight-hopping.
Evolution of a Player
Starting off in the muddy pools of the Blitz pits with a humble rating under 800, Brendan’s strategic DNA rewired itself with time and numerous battles (over 2000 blitz games logged!), eventually helping him to scale ratings as high as 1600+. His bullet chess physiology shows a fierce tenacity with a maximum rating close to 1794, illustrating rapid reflexes and sharp tactical instincts that spring into action faster than a cheetah pouncing on prey.
Playing Style: A Biological Overview
Brendan exhibits an intriguing blend of endurance and opportunistic tactics. With an average of nearly 75 moves per win, it's clear that patience is a key part of his cerebral metabolism. Unlike many who rush to early resignation, Brendan's games reveal a strong resilience—his comeback rate is a whopping 89.46%, and his win rate after losing a piece stands at a flawless 100%. Talk about regenerative powers!
He is known to frequent the endgame terrain with great frequency (74.13%), where he cleverly maneuvers through the “jungle” of limited material, much like a predator stalking through dense brush. Brendan’s "tilt factor" is a modest 31, suggesting he sometimes feels the sting of defeat but bounces back with evolutionary vigor.
Opening Repertoire: Genetic Variants
Brendan’s repertoire spans a rich gene pool of openings. Rapid games showcase his affinity for the Reti Opening and Van Geet Opening, both with a perfect win record, suggesting these are stable phenotypes in his game ecology. Meanwhile, blitz and bullet games see him favor the Alekhine's Defense and Queen’s Gambit Declined variations, hunting opponents with a win rate averaging around 50%, a sign of balanced predation.
Social Organism and Opponents
NyanBun’s most common opponents include armless_clock and evancapel, with a fascinatingly low win rate against the former (~5%) but a much better performance against other frequent challengers. He adapts his strategies against various foes in this biodiversity hotspot of digital chess arenas.
Chronobiology of Play
NyanBun’s win rates fluctuate according to the circadian rhythms dictated by the hour of day and day of week. Peak performance zones tend to cluster around mid-morning hours (10 AM boasting a 52% win rate) and evenings (notably 9 PM and 11 PM maintaining win rates above 50%), while late afternoon hours show signs of reduced metabolic efficiency (win rates dipping below 40%). This suggests Brendan, like many creatures, is tuned to perform best at certain times—maybe a biological sleep cycle or feeding pattern is at play?
Conclusion
Overall, Brendan Mak, aka NyanBun, is a chess player whose game is a fascinating study in evolutionary biology and tactical adaptation. His steady climb up the rating ladder, combined with a fierce ability to rebound and innovate on the board, makes him a worthy competitor in the savannah of chess strategy. May his rook always slide smoothly and his knights leap gracefully in the ongoing chess wilderness!
Coach's Advice
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🆚 Opponent Insights
| Most Played Opponents | ||
|---|---|---|
| armless_clock | 12W / 215L / 2D | |
| EvanCapel | 15W / 155L / 5D | |
| zhunnerd | 5W / 45L / 2D | |
| cincailah_johann | 23W / 6L / 3D | |
| luv_coke | 12W / 15L / 2D | |
Rating
| Year | Bullet | Blitz | Rapid | Daily |
|---|---|---|---|---|
| 2025 | 1397 | 1188 | 1606 | |
| 2023 | 1492 | 1192 | 1606 | |
| 2022 | 1352 | |||
| 2021 | 1557 | 1269 | 1616 | |
| 2020 | 1577 | 1249 | ||
| 2019 | 1613 | 1218 | 1232 | |
| 2018 | 1587 | 1526 | 625 | |
| 2017 | 1624 | 1606 | 1202 | 720 |
| 2016 | 1485 | 1347 | 1200 | |
| 2015 | 1228 | 962 | 1202 | 1200 |
| 2014 | 782 | |||
| 2013 | 768 | 729 | 816 |
Stats by Year
| Year | White | Black | Moves |
|---|---|---|---|
| 2025 | 11W / 6L / 0D | 7W / 8L / 0D | 62.4 |
| 2023 | 0W / 6L / 1D | 2W / 5L / 1D | 75.4 |
| 2022 | 3W / 1L / 0D | 1W / 2L / 0D | 68.4 |
| 2021 | 7W / 7L / 0D | 6W / 4L / 3D | 81.3 |
| 2020 | 12W / 46L / 1D | 13W / 49L / 0D | 63.1 |
| 2019 | 43W / 47L / 4D | 32W / 58L / 5D | 58.5 |
| 2018 | 42W / 88L / 6D | 44W / 87L / 5D | 68.1 |
| 2017 | 342W / 283L / 33D | 302W / 334L / 22D | 77.8 |
| 2016 | 277W / 276L / 20D | 256W / 303L / 24D | 71.5 |
| 2015 | 181W / 146L / 16D | 178W / 153L / 15D | 67.5 |
| 2014 | 5W / 5L / 0D | 4W / 6L / 1D | 67.0 |
| 2013 | 40W / 64L / 3D | 27W / 75L / 3D | 56.4 |
Openings: Most Played
| Blitz Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Alekhine Defense | 265 | 124 | 125 | 16 | 46.8% |
| Colle System: Rhamphorhynchus Variation | 90 | 40 | 47 | 3 | 44.4% |
| Scandinavian Defense | 82 | 31 | 47 | 4 | 37.8% |
| Australian Defense | 81 | 38 | 41 | 2 | 46.9% |
| London System: Poisoned Pawn Variation | 78 | 36 | 40 | 2 | 46.1% |
| Réti Opening | 75 | 38 | 30 | 7 | 50.7% |
| Amar Gambit | 73 | 33 | 35 | 5 | 45.2% |
| QGD: Chigorin, 3.cxd5 | 66 | 38 | 27 | 1 | 57.6% |
| Amazon Attack: Siberian Attack | 57 | 30 | 27 | 0 | 52.6% |
| Slav Defense: Bonet Gambit | 45 | 13 | 29 | 3 | 28.9% |
| Bullet Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Alekhine Defense | 373 | 186 | 172 | 15 | 49.9% |
| Amar Gambit | 189 | 83 | 103 | 3 | 43.9% |
| Colle System: Rhamphorhynchus Variation | 169 | 83 | 79 | 7 | 49.1% |
| Australian Defense | 145 | 72 | 71 | 2 | 49.7% |
| London System: Poisoned Pawn Variation | 133 | 61 | 68 | 4 | 45.9% |
| Scandinavian Defense | 122 | 67 | 50 | 5 | 54.9% |
| Slav Defense: Bonet Gambit | 115 | 63 | 48 | 4 | 54.8% |
| Döry Defense | 90 | 23 | 66 | 1 | 25.6% |
| Diemer-Duhm Gambit (DDG): 4...f5 | 88 | 43 | 38 | 7 | 48.9% |
| Amazon Attack: Siberian Attack | 75 | 25 | 45 | 5 | 33.3% |
| Rapid Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Alekhine Defense | 7 | 4 | 3 | 0 | 57.1% |
| Amar Gambit | 5 | 4 | 1 | 0 | 80.0% |
| London System: Poisoned Pawn Variation | 3 | 2 | 0 | 1 | 66.7% |
| Scandinavian Defense | 3 | 0 | 3 | 0 | 0.0% |
| QGA: 3.Nf3 Nf6 4.g3 | 2 | 1 | 1 | 0 | 50.0% |
| Australian Defense | 2 | 2 | 0 | 0 | 100.0% |
| Slav Defense: Exchange Variation | 2 | 1 | 1 | 0 | 50.0% |
| Colle System: Rhamphorhynchus Variation | 2 | 1 | 1 | 0 | 50.0% |
| Amazon Attack: Siberian Attack | 1 | 1 | 0 | 0 | 100.0% |
| QGA: 3.Nf3 Bg4 | 1 | 0 | 0 | 1 | 0.0% |
| Daily Opening | Games | Wins | Losses | Draws | Win Rate |
|---|---|---|---|---|---|
| Amazon Attack: Siberian Attack | 2 | 1 | 1 | 0 | 50.0% |
| Alekhine Defense | 2 | 0 | 2 | 0 | 0.0% |
| London System: Poisoned Pawn Variation | 2 | 0 | 2 | 0 | 0.0% |
| QGD: Chigorin, 3.cxd5 | 2 | 1 | 1 | 0 | 50.0% |
| Diemer-Duhm Gambit (DDG): 4...f5 | 1 | 0 | 1 | 0 | 0.0% |
| English Opening: Symmetrical Variation, Four Knights Variation | 1 | 0 | 1 | 0 | 0.0% |
| Alekhine Defense: Modern Variation | 1 | 1 | 0 | 0 | 100.0% |
| English Opening: Symmetrical Variation, Fianchetto Variation | 1 | 1 | 0 | 0 | 100.0% |
| Slav Defense: Alekhine Variation | 1 | 0 | 1 | 0 | 0.0% |
| English Opening: Anglo-Indian Defense | 1 | 1 | 0 | 0 | 100.0% |
🔥 Streaks
| Streak | Longest | Current |
|---|---|---|
| Winning | 11 | 1 |
| Losing | 31 | 0 |