alair — CS2 Stats

Performance scores

0–100 skill scores via Leetify.

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Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Sharp aimerLimited utility dependence

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 s1mple 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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
dust2	B	28	13–15	46%	0.06
mirage	A	16	9–7	56%	0.04
inferno	B	14	7–7	50%	0.03
nuke	B	12	6–6	50%	0.02
cache	S	12	8–4	67%	0.05
anubis	D	6	1–5	17%	0.03
ancient	A	5	3–2	60%	0.07
overpass	—	3	1–2	33%	0.00
train	—	2	1–1	50%	0.10
vertigo	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

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