NOSF3RATU — CS2 Stats

76561198165242440[U:1:204976712]Steam profile ↗✓ No bans

1,359Tracked matches67%Win rate2020Tracked since

CSDB Rating6.0 Solid

Premier CS Rating25,657Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#2789 of 26490 tracked

FaceitLevel 8 · 1,611 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim47

Positioning50

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateLTTWWLWWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.7

Aggression7.4

Utility7.3

Positioning5.0

Opening Duels3.9

Clutch3.6

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 Twistzz 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-duel success; 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim4.7

Positioning5.0

Utility7.3

Mechanics5.7

Opening Duels3.9

Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time656ms−22ms

first ⅓ avg 678ms → last ⅓ avg 656ms

Headshot accuracy17.8%−1.2%

first ⅓ avg 19.0% → last ⅓ avg 17.8%

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

0.10Best rating — mirage 13–7

13–2Biggest win — ancient

7Longest win streak

11–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 80% over 15infernoWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	28	22–6	79%	0.00
inferno	C	17	6–11	35%	-0.02
ancient	C	15	6–9	40%	-0.01
dust2	S	15	12–3	80%	-0.01
anubis	A	8	5–3	63%	0.02
nuke	B	8	4–4	50%	-0.01
overpass	B	6	3–3	50%	-0.00
cache	—	2	1–1	50%	-0.01
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

714Matches

51%Win rate

1.06Avg K/D

82.1ADR

48%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	185	55%	1.12	16.3
Ancient	113	50%	1.02	15.8
Dust2	112	45%	1.00	14.9
Inferno	111	57%	1.04	14.9
Anubis	87	48%	1.16	17.3
Nuke	65	57%	1.04	16.1
Overpass	23	48%	1.00	14.7
Train	7	0%	0.83	16.3

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.

17.8%Headshot accuracy

29.4%Accuracy (enemy spotted)

30.5%Spray accuracy

75.6%Counter-strafing

9.7°Preaim

655msReaction time

32.5%T opening success

58.6%CT opening success

0.79Enemies flashed / flash

9.5%Flash assists

11.40HE damage / grenade

13.19Flashes / 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 32.5239% — below the 40% mark we flag

Spend your practice time on Inferno

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	14–16	-0.07	24%	12 Jun →
anubis	15–15	0.03	38%	12 Jun →
inferno	15–15	0.00	16%	11 Jun →
mirage	13–9	-0.04	15%	11 Jun →
mirage	13–9	0.03	20%	11 Jun →
ancient	4–13	-0.06	9%	10 Jun →
inferno	13–6	-0.01	29%	10 Jun →
inferno	13–11	-0.07	14%	8 Jun →
dust2	13–9	0.00	19%	7 Jun →
inferno	10–13	-0.06	19%	4 Jun →
ancient	9–13	-0.04	11%	4 Jun →
dust2	13–11	-0.08	7%	29 May →
mirage	13–11	-0.05	34%	28 May →
ancient	11–13	-0.03	15%	28 May →
overpass	13–4	-0.02	21%	27 May →
dust2	13–5	0.08	14%	25 May →
ancient	8–13	-0.01	13%	23 May →
mirage	13–11	0.01	22%	23 May →
ancient	13–11	-0.01	17%	20 May →
dust2	13–9	0.04	10%	20 May →
dust2	13–5	-0.00	17%	20 May →
inferno	10–13	-0.02	15%	20 May →
inferno	13–16	0.02	13%	18 May →
anubis	13–6	-0.02	12%	18 May →
ancient	14–16	-0.01	15%	18 May →
anubis	13–8	-0.02	10%	17 May →
cache	13–7	-0.03	21%	7 May →
mirage	13–10	-0.04	12%	30 Apr →
cache	12–12	0.00	21%	30 Apr →
dust2	13–6	-0.09	21%	30 Apr →
ancient	6–13	-0.06	16%	30 Apr →
mirage	13–10	0.03	26%	29 Apr →
mirage	13–7	0.02	19%	29 Apr →
mirage	13–11	-0.02	19%	29 Apr →
nuke	8–8	0.01	8%	27 Apr →
ancient	17–19	-0.01	11%	26 Apr →
ancient	13–2	0.05	10%	26 Apr →
mirage	11–13	0.02	22%	25 Apr →
ancient	13–8	0.05	22%	25 Apr →
dust2	13–3	0.01	24%	25 Apr →
dust2	13–4	0.00	21%	23 Apr →
inferno	13–10	0.02	34%	23 Apr →
overpass	13–4	0.07	14%	23 Apr →
dust2	13–8	0.02	19%	22 Apr →
ancient	13–5	0.01	27%	22 Apr →
inferno	3–13	-0.02	28%	22 Apr →
anubis	13–2	0.09	36%	22 Apr →
mirage	13–11	-0.00	17%	22 Apr →
mirage	16–13	0.01	16%	22 Apr →
dust2	13–10	0.07	12%	22 Apr →
ancient	8–13	0.01	19%	22 Apr →
ancient	10–13	0.00	20%	22 Apr →
vertigo	11–13	0.02	6%	21 Apr →
mirage	13–7	0.10	13%	21 Apr →
dust2	13–9	0.01	19%	21 Apr →
anubis	6–13	0.03	26%	21 Apr →
anubis	16–13	-0.03	16%	21 Apr →
nuke	11–13	-0.06	9%	21 Apr →
overpass	4–13	-0.02	11%	21 Apr →
nuke	13–11	0.10	12%	21 Apr →
inferno	10–13	-0.07	22%	21 Apr →
dust2	10–13	-0.05	29%	21 Apr →
nuke	8–13	-0.01	24%	1 Mar →
inferno	13–7	0.01	15%	28 Feb →
overpass	3–13	-0.03	19%	28 Feb →
dust2	7–13	-0.08	12%	28 Feb →
mirage	16–14	0.03	14%	27 Feb →
mirage	13–8	0.00	27%	27 Feb →
mirage	13–8	-0.02	21%	26 Feb →
mirage	4–10	-0.05	19%	26 Feb →
inferno	13–7	-0.00	34%	26 Feb →
mirage	13–6	-0.04	41%	14 Feb →
nuke	13–9	0.02	19%	13 Feb →
mirage	13–9	0.04	13%	13 Feb →
anubis	13–11	0.06	27%	11 Feb →
inferno	4–13	-0.08	15%	11 Feb →
inferno	15–15	-0.05	9%	10 Feb →
inferno	4–13	-0.03	8%	10 Feb →
mirage	13–7	0.00	21%	9 Feb →
anubis	14–16	-0.02	12%	9 Feb →
nuke	13–6	-0.08	10%	9 Feb →
mirage	13–5	0.01	29%	5 Feb →
mirage	9–13	-0.03	11%	2 Feb →
ancient	13–7	0.02	18%	2 Feb →
mirage	13–9	0.04	13%	2 Feb →
inferno	14–16	0.01	21%	1 Feb →
mirage	13–9	-0.01	16%	1 Feb →
inferno	13–9	-0.05	17%	11 Dec →
nuke	13–9	0.05	22%	9 Dec →
ancient	13–11	-0.05	12%	8 Dec →
overpass	16–13	0.02	23%	7 Dec →
dust2	8–13	-0.09	10%	7 Dec →
nuke	6–13	-0.09	28%	6 Dec →
dust2	13–6	0.03	20%	29 Nov →
mirage	13–9	0.01	11%	29 Nov →
overpass	3–13	-0.03	38%	28 Nov →
mirage	13–9	-0.01	14%	25 Nov →
inferno	15–15	0.00	19%	24 Nov →
mirage	10–13	0.02	12%	24 Nov →
mirage	10–13	0.04	18%	19 Nov →