Avatar of Santi Caballero

Santi Caballero

Username: Santi_caba

Playing Since: 2020-12-15 (Active)

Wow Factor: ♟♟♟

Chess.com

Daily: 1285
50W / 26L / 1D
Rapid: 1303
466W / 406L / 49D
Blitz: 997
1350W / 1365L / 88D
Bullet: 1202
1105W / 1077L / 41D

Santi Caballero, the Chessboard Biologist

Meet Santi Caballero, a player whose chess journey resembles a fascinating evolutionary tale, where every move is an adaptation and every game is survival of the fittest! Known in the digital den as Santi_caba, this chess enthusiast combines strategic prowess with a splash of humor, often joking that his favorite openings are as “well-adapted” as finches on the Galápagos Islands.

Evolution of a Chess Rating

Since 2020, Santi’s ratings have shown a remarkable phylogenetic tree of growth and resilience across different time controls. Starting from a modest blitz rating near 700, he has blossomed into the mid-1100s, with his bullet and rapid ratings showing a steady climb that rivals the branching of neurons in a tactical brain. In bullet chess, Santi reached an impressive high of 1333, demonstrating lightning-fast reflexes that could make even the quickest of pawns tremble!

Opening Repertoire – A Genetic Code of Success

Like a master geneticist sequencing the DNA of chess theory, Santi favors the Accelerated London System and Old Benoni Defense, opening variations that consistently yield near 50% or higher win rates – as if these openings evolved naturally to counter the competition. His love for the Sicilian Defense’s various branches speaks to his diverse skill set, adapting to many opponents with a flexible and aggressive stance.

Psychological Traits and Playing Style

With an early resignation rate below 3%, Santi isn't one to surrender – he's more like a tough shell clam, holding on through complex endgames, which appear in over 65% of his games. Average moves per win hover around 59, hinting that Santi thrives in deep, strategic battles rather than quick skirmishes. His remarkable comeback rate of 76% and near-perfect 99% win rate after losing a piece illuminate a tactical awareness sharper than a praying mantis’s reflexes.

Daily Rhythm on the Chessboard

Santi’s win rate peaks during late night and early morning hours, with a fascinating 100% win rate recorded between 4 AM and 5 AM – a prime time when this “nocturnal predator” pounces on unsuspecting opponents. Weekdays see him steadily perform around or above 50% except for brief dips – a reminder that even the most well-oiled biological machines need their recovery time.

The Opponent Ecosystem

Santi has squared off against a diverse habitat of opponents, with some like dancabper challenging him frequently (118 games), while others succumb entirely to his predator instincts. Notably, his win rate hovers around 50-55% against most familiar foes, highlighting a dynamic and competitive ecosystem where adaptation is key.

Final Thoughts

Whether hunting tactical opportunities or nurturing long-term strategic growth, Santi Caballero's chess career is a natural wonder—a living organism thriving in the microcosm of sixty-four squares. With humor as his catalyst and resilience in his DNA, Santi keeps evolving, always ready to checkmate the next challenge that dares to cross his path.


🆚 Opponent Insights

Recent Opponents
jackgranja 1W / 0L / 0D View
saranr678 1W / 0L / 0D View
marcelobolivia 0W / 1L / 0D View
moosahshee 0W / 1L / 0D View
yungeff 0W / 1L / 0D View
Most Played Opponents
dancabper 50W / 64L / 4D View Games
narcis03 23W / 19L / 0D View Games
oscarita 13W / 8L / 3D View Games
guillesdm1 15W / 3L / 2D View Games
alesfm 13W / 5L / 0D View Games

Rating

Year Bullet Blitz Rapid Daily
2025 1208 980 1303
2024 1054 1134 1278
2023 1158 999 1210
2022 1147 1039 1224 1285
2021 1012 1007 1117 1193
2020 942 1025 991
Rating by Year2020202120222023202420251303942YearRatingBulletBlitzRapidDaily

Stats by Year

Year White Black Moves
2025 88W / 79L / 5D 78W / 88L / 3D 67.0
2024 280W / 255L / 16D 266W / 258L / 20D 63.8
2023 115W / 134L / 11D 128W / 127L / 3D 64.5
2022 349W / 336L / 25D 363W / 328L / 24D 62.8
2021 582W / 556L / 36D 586W / 559L / 32D 58.8
2020 69W / 55L / 3D 50W / 65L / 9D 61.9

Openings: Most Played

Blitz Opening Games Wins Losses Draws Win Rate
Queens Pawn Opening Accelerated London System 408 201 191 16 49.3%
Englund Gambit 258 122 130 6 47.3%
Sicilian Defense French Variation 235 109 120 6 46.4%
Indian Game 159 75 78 6 47.2%
Queens Pawn Opening 110 51 56 3 46.4%
Old Benoni Defense 105 58 44 3 55.2%
Sicilian Defense Bowdler Attack 99 45 52 2 45.5%
Queens Pawn Opening Horwitz Defense 81 43 35 3 53.1%
Sicilian Defense 64 39 25 0 60.9%
Sicilian Defense Taimanov Variation 62 30 30 2 48.4%
Bullet Opening Games Wins Losses Draws Win Rate
Englund Gambit 189 72 114 3 38.1%
Queens Pawn Opening 170 78 88 4 45.9%
Sicilian Defense French Variation 166 99 64 3 59.6%
Queens Pawn Opening Accelerated London System 154 88 61 5 57.1%
Old Benoni Defense 127 58 64 5 45.7%
Queens Pawn Opening Horwitz Defense 92 51 40 1 55.4%
Indian Game 89 39 48 2 43.8%
Sicilian Defense Old Sicilian Variation 67 39 27 1 58.2%
Sicilian Defense Bowdler Attack 57 32 25 0 56.1%
Van t Kruijs Opening 50 25 25 0 50.0%
Daily Opening Games Wins Losses Draws Win Rate
Englund Gambit 7 6 1 0 85.7%
Indian Game 6 2 4 0 33.3%
Kings Pawn Opening 4 4 0 0 100.0%
Sicilian Defense French Variation 3 2 1 0 66.7%
Queens Pawn Opening Chigorin Variation 3 2 1 0 66.7%
Alapin Sicilian Defense 2 2 0 0 100.0%
Reti Opening 2 1 1 0 50.0%
Pirc Defense 2 1 1 0 50.0%
Queens Gambit Declined Albin Countergambit 2 1 1 0 50.0%
Undefined 2 2 0 0 100.0%
Rapid Opening Games Wins Losses Draws Win Rate
Queens Pawn Opening 67 35 30 2 52.2%
Englund Gambit 62 30 30 2 48.4%
Queens Pawn Opening Accelerated London System 60 33 22 5 55.0%
Sicilian Defense French Variation 50 23 25 2 46.0%
Sicilian Defense Bowdler Attack 49 24 24 1 49.0%
Indian Game 36 16 18 2 44.4%
Van t Kruijs Opening 27 15 11 1 55.6%
Kings Pawn Opening 24 14 8 2 58.3%
Sicilian Defense 22 8 14 0 36.4%
Alapin Sicilian Defense 16 8 7 1 50.0%

🔥 Streaks

Streak Longest Current
Winning 13 2
Losing 11 0
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