severely acoustic — CS2 Stats

AU76561198041308184[U:1:81042456]Steam profile ↗✓ No bans

725Tracked matches58%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning46

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWLWLLWTLWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.3

Aggression4.8

Utility3.6

Positioning4.6

Opening Duels2.2

Clutch4.6

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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3

Positioning4.6

Utility3.6

Mechanics8.0

Opening Duels2.2

Win Impact7.6

Composite 5.8/10 (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

Match rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time610ms+48ms

first ⅓ avg 562ms → last ⅓ avg 610ms

Headshot accuracy19.3%+3.1%

first ⅓ avg 16.2% → last ⅓ avg 19.3%

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

0.11Best rating — mirage 9–13

13–1Biggest win — cache

5Longest win streak

7–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 63% over 32anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	20–12	63%	-0.01
dust2	C	21	8–13	38%	-0.02
ancient	B	17	8–9	47%	-0.01
inferno	A	11	6–5	55%	-0.00
anubis	D	9	3–6	33%	-0.02
cache	C	7	3–4	43%	0.00
overpass	—	2	2–0	100%	0.06
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

591Matches

57%Win rate

1.10Avg K/D

70.1ADR

39%Headshot %

Clutches & streaks

43%1v1 clutch win

13%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	62%	1.02	14.6
Anubis	7	43%	0.98	17.0
Mirage	6	33%	0.65	12.2
Dust2	3	67%	0.90	13.7
Train	1	0%	0.47	8.0
Inferno	1	100%	1.67	15.0

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.

19.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.1%Spray accuracy

86.0%Counter-strafing

9.3°Preaim

616msReaction time

36.6%T opening success

41.2%CT opening success

0.52Enemies flashed / flash

9.9%Flash assists

11.73HE damage / grenade

5.08Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.6432% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.03	24%	28 Jun →
mirage	11–13	-0.03	20%	28 Jun →
cache	13–1	0.04	19%	29 May →
cache	3–13	-0.07	27%	29 May →
cache	3–13	-0.04	12%	26 May →
cache	13–9	0.01	19%	22 May →
anubis	12–12	-0.03	18%	22 May →
dust2	9–13	0.00	16%	22 May →
cache	13–4	0.07	22%	21 May →
cache	10–13	0.01	26%	18 May →
cache	9–13	-0.02	19%	18 May →
dust2	11–13	-0.04	20%	21 Mar →
mirage	13–6	0.04	14%	21 Mar →
ancient	13–1	-0.04	23%	8 Aug →
dust2	13–9	0.03	19%	8 Aug →
inferno	15–15	-0.02	22%	6 Aug →
mirage	13–9	-0.02	22%	6 Aug →
overpass	13–1	0.06	28%	6 Aug →
dust2	13–11	0.03	23%	30 Jul →
mirage	13–7	-0.02	15%	30 Jul →
dust2	13–9	-0.07	17%	30 Jul →
mirage	5–13	-0.06	16%	30 Jul →
inferno	7–13	0.04	19%	30 Jul →
overpass	13–10	0.06	17%	30 Jul →
ancient	8–13	-0.05	10%	29 Jul →
dust2	15–15	0.01	20%	29 Jul →
dust2	7–13	-0.04	18%	29 Jul →
mirage	15–15	-0.04	29%	29 Jul →
mirage	13–4	0.04	11%	28 Jul →
mirage	13–8	-0.05	23%	28 Jul →
mirage	13–7	0.06	20%	26 Jul →
mirage	8–13	0.05	16%	26 Jul →
mirage	13–6	-0.03	14%	26 Jul →
inferno	13–10	-0.03	13%	26 Jul →
dust2	4–13	-0.06	15%	25 Jul →
mirage	13–9	-0.02	9%	25 Jul →
ancient	13–7	-0.00	9%	25 Jul →
mirage	13–11	-0.02	19%	21 Jul →
dust2	4–13	-0.06	24%	21 Jul →
ancient	14–16	-0.02	16%	21 Jul →
dust2	7–13	-0.08	15%	21 Jul →
dust2	13–6	0.07	25%	19 Jul →
mirage	16–13	0.00	14%	19 Jul →
dust2	13–10	-0.05	17%	18 Jul →
mirage	6–13	0.00	18%	16 Jul →
dust2	4–13	-0.04	31%	16 Jul →
inferno	13–5	0.04	21%	15 Jul →
mirage	2–10	-0.00	25%	10 Jul →
anubis	13–7	0.04	13%	7 Jul →
anubis	2–13	-0.06	25%	7 Jul →
ancient	13–2	0.06	16%	3 Jul →
inferno	10–13	-0.04	10%	3 Jul →
mirage	6–13	-0.03	4%	3 Jul →
anubis	10–13	-0.07	12%	3 Jul →
mirage	13–8	0.02	17%	3 Jul →
ancient	13–11	-0.00	13%	3 Jul →
ancient	7–13	-0.02	26%	2 Jul →
mirage	13–9	-0.02	22%	2 Jul →
dust2	8–13	-0.06	15%	2 Jul →
anubis	13–11	0.02	18%	30 Jun →
mirage	13–11	0.01	15%	30 Jun →
mirage	13–9	0.04	19%	30 Jun →
mirage	13–11	0.01	13%	27 Jun →
anubis	8–13	-0.02	17%	27 Jun →
mirage	9–13	-0.05	16%	27 Jun →
dust2	6–13	-0.06	9%	26 Jun →
mirage	13–10	-0.00	18%	26 Jun →
mirage	7–13	-0.04	29%	26 Jun →
anubis	0–13	-0.05	0%	26 Jun →
mirage	15–15	0.02	34%	25 Jun →
mirage	13–11	0.01	14%	25 Jun →
inferno	10–13	-0.02	15%	25 Jun →
ancient	13–7	-0.02	21%	24 Jun →
inferno	15–15	0.03	16%	24 Jun →
ancient	11–13	-0.04	19%	24 Jun →
train	13–4	0.03	14%	24 Jun →
ancient	13–4	0.07	27%	24 Jun →
dust2	1–13	-0.07	18%	24 Jun →
inferno	16–13	-0.01	17%	23 Jun →
mirage	3–13	-0.09	11%	23 Jun →
ancient	13–10	0.06	18%	23 Jun →
inferno	13–2	0.01	18%	23 Jun →
anubis	8–13	-0.01	21%	23 Jun →
dust2	13–10	-0.00	23%	23 Jun →
anubis	13–10	-0.01	16%	23 Jun →
ancient	8–13	-0.03	13%	23 Jun →
mirage	13–3	-0.04	8%	23 Jun →
dust2	10–13	0.03	16%	23 Jun →
dust2	10–13	-0.04	6%	20 Jun →
ancient	6–13	-0.05	7%	20 Jun →
inferno	13–6	0.01	7%	19 Jun →
dust2	13–6	-0.01	15%	19 Jun →
mirage	13–9	0.03	15%	19 Jun →
ancient	13–6	-0.06	10%	19 Jun →
mirage	9–13	0.11	24%	19 Jun →
ancient	5–13	0.04	18%	18 Jun →
ancient	3–13	-0.04	15%	18 Jun →
inferno	13–8	-0.03	19%	18 Jun →
mirage	13–8	-0.03	11%	18 Jun →
ancient	12–16	0.02	16%	17 Jun →