Roger (aka grandroger) — Chess Biography
Roger is a Blitz specialist and a familiar handle on the online chess scene. Known to many as grandroger, he built a reputation on fast, sharp games and an uncanny ability to recover from trouble. His preferred time control is Blitz and his playstyle mixes deep endgames with sudden tactical fireworks.
- Preferred time control: Blitz
- Peak Blitz rating: 2468 (2026-01-16)
- Quick visual:
Playing Style
Roger favors long, complex games even at fast time controls. He reaches endgames frequently and averages nearly 79 moves in decisive games. That combination makes his games rich in technique and memorable tactics.
- Endgame frequency is high, so expect long duels
- Average moves per game is around 79, so patience pays off
- Comeback rate is impressive, so do not celebrate too early
Openings and Repertoire
Roger leans into dynamic systems. He plays both sides of many Sicilian lines and is comfortable with offbeat choices that create unbalanced middlegames.
- Favorites include Sicilian Defense, the Amazon Attack and the Benko Gambit Accepted
- Often opens with d4 when he wants a slow build and rich middlegame play
- As White he enjoys tactical, piece-heavy setups; as Black he returns with sharp Sicilian counters
Sample mini-game you can replay:
Memorable Moments
Roger has had many streaks and thrilling matches. He recorded long winning runs and the kind of volatile form that keeps followers entertained.
- Longest winning streak: 11 games
- Longest losing streak: 11 games
- Most-played rival: fisher37 — a classic matchup with dozens of contests
Fun Facts
- Online handle frequently seen as grandroger
- Best hour to play: around 01:00, so late night tactics aplenty
- Average first capture happens around move 7, which promises early skirmishes
- Has a healthy tilt factor but an even healthier recovery instinct
Want to explore more?
Browse Roger's recent Blitz trend or replay his games to learn from his tactical recoveries and endgame technique. For a quick dive, check the rating chart above and replay the sample PGN.