Avatar of Thomas Santell

Thomas Santell

Username: techbasedthomas

Location: Seattle

Playing Since: 2020-11-25 (Active)

Wow Factor: ♟♟♟

Chess.com

Rapid: 1419
843W / 818L / 132D
Blitz: 896
1155W / 1103L / 198D
Bullet: 1391
4186W / 4065L / 539D

Thomas Santell — The Gambit Guru

Meet Thomas Santell, a chess player whose moves are as intricate as the dendrites of a neuron — constantly branching out and connecting in ways that might just baffle your opponent’s hippocampus. Known in the online world as techbasedthomas, Thomas has evolved his chess rating like a well-adapted species, showing resilience and growth across various time controls from Rapid to Bullet.

Rating and Performance

Over the years, Thomas has demonstrated steady improvement, peaking at rapid ratings of up to 1442 in 2023 and soaring to a bullet max rating of 1547 the same year. His blitz games have also shown power moves with a max rating over 1300. Notably, he exhibits a nearly molecular tactical awareness with a 100% win rate after losing a piece — proving that even when the mitochondria (read: pieces) get knocked out, the cell (Thomas) keeps thriving.

Playing Style: The Evolutionary Strategy

Thomas’s playing style is a fascinating case study — a blend of patience and endurance with an Endgame Frequency near 80%, suggesting he likes to see the game through to its cellular finale. His average number of moves per game hovers around 74, reflecting the painstaking diligence of a biologist observing a slow-growing culture. Early resignations are rare (about 1.5%), so his opponents better be prepared to engage in a full, evolutionary war of attrition.

Opening Repertoire — The Genetic Code of His Games

  • Nimzowitsch Larsen Attack (Classical Variation): Boasts a win rate near a Darwinian 63% in rapid games — a prime mutation in his arsenal.
  • Modern Defense: A reliable backbone, played often and solid across time controls.
  • Van 't Kruijs Opening: His little-known secret weapon, yielding win rates upwards of 50% and sometimes even higher in blitz.

Tilt Factor: Just a Few Synaptic Misfires

Even the best neurons misfire occasionally — Thomas’s tilt factor stands at a mild 11, keeping his focus sharper than a hawk moth’s proboscis. His comeback rate is an impressive 88%, showing this player is like a planarian flatworm— capable of regenerating and bouncing back stronger.

Psychological and Temporal Trends

Thomas tends to play better during the early hours when his synapses fire fastest, hitting an 58.93% win rate around 8 AM, just like a circadian rhythm perfectly tuned to the game. His greatest performance days hover around Friday with close to a 50% win rate, so Fridays could be considered Thomas’s prime mating season of chess victories.

Despite a slight negative difference between rated and casual games, Thomas thrives when the pressure mounts, likely due to his keen ability to adapt and mutate strategies on the fly.

In Conclusion: From Pawn to Kingpin

Thomas Santell’s chess journey is comparable to a fascinating biological experiment — ever evolving, improving, and outsmarting opponents one cell at a time. With a blend of tenacity, high tactical awareness, and opening diversity, Thomas brings a little biology to the battlefield of 64 squares, ensuring his opponents don’t just face checkmate, but a full-on cellular takeover!


🆚 Opponent Insights

Recent Opponents
tolithorandu 0W / 1L / 0D
rajvardhanjadhav311 1W / 0L / 0D
maxsa0242 0W / 1L / 0D
reany1107 0W / 0L / 1D
ace08093 0W / 0L / 1D
Most Played Opponents
stolerua 13W / 8L / 3D
joker_f11 2W / 10L / 2D
salma22broccoli 7W / 5L / 2D
coloaneu 8W / 4L / 1D
grabaker 7W / 3L / 1D

Rating

Year Bullet Blitz Rapid Daily
2025 895 1311
2024 976 1269
2023 1391 1074 1284
2022 1488 1140 1271
2021 1262 1044 1253 800
2020 717 546 963
Rating by Year2020202120222023202420251488546YearRatingBulletBlitzRapid

Stats by Year

Year White Black Moves
2025 153W / 128L / 17D 123W / 144L / 28D 79.4
2024 7W / 12L / 2D 7W / 12L / 2D 68.9
2023 605W / 601L / 86D 584W / 597L / 111D 80.6
2022 1171W / 1080L / 164D 1124W / 1148L / 142D 78.3
2021 974W / 887L / 118D 948W / 894L / 128D 73.2
2020 84W / 95L / 10D 97W / 90L / 7D 66.2

Openings: Most Played

Bullet Opening Games Wins Losses Draws Win Rate
Modern Defense with 2482 1178 1139 165 47.5%
Nimzowitsch Larsen Attack Modern Variation 1436 688 662 86 47.9%
Nimzowitsch Larsen Attack Classical Variation 1177 557 531 89 47.3%
Nimzowitsch Larsen Attack 627 328 274 25 52.3%
Reti Opening Kingside Fianchetto Variation 528 238 259 31 45.1%
Nimzowitsch Larsen Attack Indian Variation 242 118 110 14 48.8%
Nimzowitsch Larsen Attack Symmetrical Variation 185 86 89 10 46.5%
Van t Kruijs Opening 174 87 79 8 50.0%
Reti Opening Nimzowitsch Larsen Attack 163 72 81 10 44.2%
Nimzowitsch Larsen Attack English Variation 143 70 63 10 49.0%
Blitz Opening Games Wins Losses Draws Win Rate
Modern Defense with 501 216 237 48 43.1%
Nimzowitsch Larsen Attack Modern Variation 383 192 160 31 50.1%
Nimzowitsch Larsen Attack Classical Variation 193 90 88 15 46.6%
Reti Opening Kingside Fianchetto Variation 155 82 68 5 52.9%
Nimzowitsch Larsen Attack 99 50 37 12 50.5%
Nimzowitsch Larsen Attack Indian Variation 60 25 29 6 41.7%
Richter Veresov Attack 39 24 11 4 61.5%
Nimzowitsch Larsen Attack Symmetrical Variation 30 14 14 2 46.7%
Nimzowitsch Larsen Attack English Variation 30 14 15 1 46.7%
Van t Kruijs Opening 28 18 10 0 64.3%
Rapid Opening Games Wins Losses Draws Win Rate
Top Secret 134 61 59 14 45.5%
Modern Defense with 85 41 36 8 48.2%
Nimzowitsch Larsen Attack Modern Variation 55 29 21 5 52.7%
Caro Kann Defense 47 23 18 6 48.9%
Queens Pawn Opening Zukertort Chigorin Variation 45 21 19 5 46.7%
Nimzowitsch Larsen Attack Classical Variation 36 23 11 2 63.9%
Queens Pawn Opening Zukertort Variation 32 16 14 2 50.0%
London System 27 17 10 0 63.0%
Queens Pawn Opening 26 14 9 3 53.9%
Queens Pawn Opening Accelerated London System 23 9 11 3 39.1%
Daily Opening Games Wins Losses Draws Win Rate
Nimzowitsch Larsen Attack Dutch Variation 1 1 0 0 100.0%
Clemenz Opening 1 1 0 0 100.0%

🔥 Streaks

Streak Longest Current
Winning 17 0
Losing 11 1