Overview
depth-calculation is a lively and often surprising online chess personality — a blitz specialist who likes sharp tactics, cheeky traps and the occasional coffee-fueled comeback. Fans (and frequent opponents) will tell you they play fast, think fast, and sometimes resign early when the snacks run out. Preferred time control: Blitz — where depth-calculation does their best (and most dramatic) work.
- Username: depth-calculation
- Preferred time control: Blitz
- Peak blitz and bullet form: 2543 (2025-09-07) and 2566 (2025-09-06)
- Last analyzed game date in dataset: 2026-01-03
Style & Strengths
depth-calculation combines tactical sharpness with a willingness to play for complications. Their recorded comeback rate is striking — a testament to resilience even when the scoreboard looks bleak.
- Comeback Rate: 74.07% — thrives when the game gets chaotic.
- Win Rate After Losing a Piece: 20.2% — can still seek complications and chances.
- Average moves per win: ~56 — many wins come from long tactical fights.
- Most common checking piece: Queen — likes checks and forcing sequences.
- Psych profile: Tilt Factor 13, Best time of day to play: 04:00 (yes, really).
Openings & Repertoire
depth-calculation's opening choices are adventurous. They enjoy trickery and unusual sidelines as much as mainstream theory — and the stats reflect both brilliant wins and bitter lessons.
- Signature successes: Blackburne Shilling Gambit (very effective in several rapid/blitz encounters) — Blackburne Shilling Gambit
- Reliable scores with Philidor Defense as White in rapid play (100% in a small sample).
- Struggles vs mainstream Sicilian lines in Blitz (multiple losses) — a clear area for targeted study: Sicilian Defense
- Enjoys gambits like the Amar Gambit and Vienna Gambit in fast time controls.
Explore the recent rating curve for the time class they breathe best in:
Records, Streaks & Patterns
depth-calculation's match history is a roller coaster: bright peaks and steep slides. Useful patterns for training and preparation are obvious from the numbers.
- Longest winning streak: 6 games
- Longest losing streak: 13 games — streaks here can be brutal.
- Overall tactical tendency: Endgame frequency ~42.5% — many games reach a complex late middlegame/endgame phase.
- Termination stats: many games end with non-standard terminations in the dataset (Unknown category prevalent).
Notable Opponents & Rivalries
depth-calculation has run into a few repeat opponents enough to create small rivalries. These matchups reveal stylistic mismatches and valuable training targets.
- Most-played opponent: Milady-de-Winter (5 games) — currently a tough matchup (0–5).
- Strong head-to-head: knight-playy (3 games, all wins for depth-calculation).
- Other frequent opponents include: romanakopov, citrusnext, knight-playy, the-chesskidd.
Sample Game & Study
Below is a compact PGN sample to study depth-calculation’s tactical taste and opening ideas. Use it for drills, tactics training, or to admire a chaotic middlegame.
- Try pausing at move 12 and find tactics — many decisive moments occur in the next 15 moves.
- Study idea: when the queen starts checking frequently (queen is the most common checking piece), look for back-rank and queen trade tactics.
Quick Facts & Training Tips
SEO-friendly quick facts for fans, coaches and students who want to analyze depth-calculation or prepare against them.
- Strength-adjusted win rates: Blitz shows room for growth (compared to Bullet/Bullet peak form).
- Best short-term training: shore up response to mainline Sicilian structures; convert tactical superiority into consistent wins.
- Work on tilt control — long losing streaks suggest momentum issues. Play calm lightning practice (short, focused sessions at 04:00?)
- More charts and peak markers: 2021 (2025-12-23) • 2543 (2025-09-07) • 2566 (2025-09-06)