NS[st] — CS2 Stats

US76561197960875897[U:1:610169]Steam profile ↗✓ No bans

1,366Tracked matches59%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating26,541Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#696 of 8074 tracked

FaceitLevel 8 · 2,115 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning64

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLWLWWWWLTW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression7.8

Utility6.8

Positioning6.4

Opening Duels3.2

Clutch4.8

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 b1t 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 570ms 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

Aim8.4

Positioning6.4

Utility6.8

Mechanics7.3

Opening Duels3.2

Win Impact8.1

Composite 7.4/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time568ms−24ms

first ⅓ avg 592ms → last ⅓ avg 568ms

Headshot accuracy24.9%−0.1%

first ⅓ avg 25.0% → last ⅓ avg 24.9%

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

0.15Best rating — anubis 13–10

13–1Biggest win — inferno

6Longest win streak

7–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 70% over 10anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	0.02
dust2	A	21	13–8	62%	0.02
nuke	A	18	11–7	61%	0.04
anubis	C	13	5–8	38%	0.03
cache	C	10	4–6	40%	0.02
ancient	S	10	7–3	70%	-0.00
overpass	—	4	2–2	50%	0.01
mirage	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,279Matches

51%Win rate

1.25Avg K/D

85.7ADR

45%Headshot %

Clutches & streaks

44%1v1 clutch win

13%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	36	53%	1.32	16.0
Inferno	27	52%	1.25	17.1
Anubis	26	31%	1.15	17.7
Nuke	24	62%	1.58	18.7
Dust2	6	33%	1.12	18.0
Mirage	4	25%	1.08	19.3
Cache	3	33%	0.92	17.0
Overpass	2	50%	0.90	14.5

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.

24.4%Headshot accuracy

37.0%Accuracy (enemy spotted)

37.5%Spray accuracy

82.8%Counter-strafing

9.4°Preaim

570msReaction time

37.7%T opening success

47.7%CT opening success

0.65Enemies flashed / flash

10.8%Flash assists

10.60HE damage / grenade

10.84Flashes / 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 37.7145% — 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.

38% win rate across 13 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
inferno	6–13	-0.03	33%	23 Aug →
dust2	13–3	-0.01	15%	23 Aug →
nuke	9–13	0.07	27%	23 Aug →
nuke	13–7	0.06	24%	23 Aug →
inferno	13–8	0.02	31%	20 Aug →
nuke	13–7	0.10	32%	20 Aug →
dust2	13–10	0.01	27%	14 Aug →
mirage	6–13	-0.08	38%	14 Aug →
nuke	15–15	0.05	27%	14 Aug →
mirage	13–8	0.01	33%	14 Aug →
cache	13–8	0.01	14%	12 Aug →
inferno	7–13	-0.01	17%	8 Aug →
inferno	4–13	-0.01	16%	8 Aug →
ancient	13–9	0.00	29%	8 Aug →
inferno	13–9	0.01	18%	8 Aug →
dust2	13–9	0.14	16%	8 Aug →
anubis	6–13	0.01	14%	8 Aug →
inferno	6–13	0.01	28%	6 Aug →
ancient	6–13	-0.05	24%	4 Aug →
dust2	16–14	0.07	17%	4 Aug →
inferno	13–7	0.12	37%	4 Aug →
nuke	13–9	0.01	20%	4 Aug →
dust2	15–15	0.00	30%	2 Aug →
dust2	6–13	-0.00	21%	2 Aug →
nuke	13–2	0.04	28%	2 Aug →
anubis	13–4	0.04	21%	2 Aug →
ancient	7–13	-0.00	14%	1 Aug →
cache	9–13	0.02	24%	1 Aug →
inferno	15–15	0.08	26%	1 Aug →
nuke	13–11	0.00	29%	1 Aug →
dust2	13–4	0.01	26%	1 Aug →
anubis	6–13	0.03	38%	1 Aug →
nuke	13–6	0.01	30%	1 Aug →
cache	13–8	0.07	43%	29 Jul →
dust2	13–8	0.01	21%	29 Jul →
nuke	13–8	-0.00	27%	26 Jul →
nuke	8–13	0.10	26%	26 Jul →
inferno	13–8	-0.08	15%	25 Jul →
dust2	11–13	0.05	33%	25 Jul →
anubis	3–13	-0.00	10%	25 Jul →
inferno	7–3	-0.01	33%	25 Jul →
dust2	1–12	-0.10	29%	19 Jul →
cache	8–13	-0.01	20%	19 Jul →
inferno	9–13	0.01	27%	19 Jul →
ancient	13–10	0.04	33%	19 Jul →
anubis	13–7	0.06	13%	19 Jul →
inferno	6–13	0.04	20%	19 Jul →
nuke	13–3	0.08	25%	18 Jul →
cache	12–16	-0.04	16%	18 Jul →
nuke	7–13	0.06	38%	18 Jul →
anubis	9–13	-0.01	18%	18 Jul →
dust2	13–11	0.02	30%	18 Jul →
cache	13–4	0.13	33%	18 Jul →
cache	11–13	0.01	20%	18 Jul →
cache	5–13	0.01	29%	12 Jul →
dust2	3–13	-0.03	23%	12 Jul →
inferno	13–8	0.00	34%	12 Jul →
dust2	13–8	-0.01	26%	12 Jul →
inferno	7–13	-0.01	17%	12 Jul →
cache	13–10	0.03	27%	11 Jul →
anubis	13–6	0.01	15%	11 Jul →
dust2	13–5	0.08	23%	11 Jul →
nuke	13–10	0.03	14%	11 Jul →
anubis	8–13	0.04	20%	11 Jul →
inferno	10–13	-0.02	20%	11 Jul →
cache	1–13	-0.04	27%	10 Jul →
inferno	4–13	-0.04	33%	10 Jul →
inferno	13–5	0.06	33%	10 Jul →
inferno	13–3	0.08	35%	10 Jul →
ancient	13–11	0.01	30%	5 Jul →
overpass	13–3	0.14	32%	5 Jul →
dust2	10–13	-0.01	9%	5 Jul →
ancient	13–7	-0.02	18%	5 Jul →
nuke	5–13	0.08	32%	5 Jul →
inferno	13–1	0.09	25%	5 Jul →
inferno	5–13	0.04	22%	4 Jul →
overpass	13–10	-0.01	20%	4 Jul →
dust2	13–11	0.05	24%	4 Jul →
dust2	13–2	0.09	25%	4 Jul →
anubis	5–13	-0.01	22%	4 Jul →
ancient	13–4	0.04	26%	4 Jul →
nuke	11–13	-0.07	12%	4 Jul →
ancient	7–13	-0.02	16%	3 Jul →
overpass	3–13	-0.05	28%	3 Jul →
inferno	13–6	0.07	33%	3 Jul →
anubis	13–10	0.15	30%	3 Jul →
ancient	16–13	-0.03	22%	3 Jul →
nuke	13–10	-0.00	46%	3 Jul →
inferno	13–11	-0.03	32%	3 Jul →
dust2	13–8	0.06	24%	3 Jul →
anubis	7–13	-0.01	19%	28 Jun →
overpass	14–16	-0.02	27%	28 Jun →
nuke	11–13	0.01	33%	28 Jun →
dust2	9–13	0.00	29%	28 Jun →
ancient	13–9	0.02	18%	28 Jun →
anubis	13–11	0.07	21%	21 Jun →
dust2	6–13	-0.01	17%	21 Jun →
nuke	13–9	0.08	26%	21 Jun →
anubis	10–13	-0.04	18%	14 Jun →
dust2	13–8	-0.01	20%	14 Jun →