d r x — CS2 Stats

Performance scores

0–100 skill scores via Leetify.

Recent form

Player DNA

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like iM 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

Map breakdown

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	21	11–10	52%	-0.02
inferno	D	18	6–12	33%	-0.00
dust2	B	15	8–7	53%	-0.01
nuke	B	13	7–6	54%	-0.01
mirage	D	8	2–6	25%	-0.01
ancient	B	8	4–4	50%	-0.00
overpass	D	7	2–5	29%	-0.01
cache	—	4	2–2	50%	0.02
fachwerk	—	2	1–1	50%	0.01
boulder	—	1	1–0	100%	0.02
train	—	1	0–1	0%	0.00
italy	—	1	1–0	100%	-0.06
office	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Recent Faceit resultsLWLLL

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

Milestones