40n3y — CS2 Stats

76561197983802339[U:1:23536611]Steam profile ↗✓ No bans

4,572Tracked matches60%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

FaceitLevel 10 · 2,754 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning56

Utility79

0–100 skill scores via Leetify.

Recent form

HOT58–40–2Last 10058%Win rateWWWLWWWLWW

Last 10 vs previous 10: +40pp win rate · -0.03 avg rating

Player DNA

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

Aim8.7

Aggression7.4

Utility7.9

Positioning5.6

Opening Duels3.6

Clutch4.0

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 92% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 60% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.6

Utility7.9

Mechanics6.9

Opening Duels3.7

Win Impact8.3

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time544ms−42ms

first ⅓ avg 587ms → last ⅓ avg 544ms

Headshot accuracy25.3%−0.4%

first ⅓ avg 25.8% → last ⅓ avg 25.3%

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

0.20Best rating — fachwerk 1–9

13–2Biggest win — ancient

5Longest win streak

W3Current streak

14–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 73% over 15anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	26	18–8	69%	0.02
inferno	B	21	10–11	48%	0.02
cache	A	17	10–7	59%	0.02
nuke	S	15	11–4	73%	-0.01
anubis	B	13	6–7	46%	0.00
dust2	—	3	2–1	67%	0.01
mirage	—	3	1–2	33%	0.09
fachwerk	—	1	0–1	0%	0.20
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,504Matches

53%Win rate

1.19Avg K/D

83.8ADR

55%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

14Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	505	53%	1.20	17.4
Nuke	354	61%	1.21	16.7
Inferno	350	59%	1.17	15.9
Anubis	340	55%	1.14	17.0
Dust2	79	51%	1.04	16.1
Train	79	46%	1.06	16.0
Mirage	37	46%	1.10	15.8
Cache	29	52%	1.12	17.4

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.

24.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

43.9%Spray accuracy

81.2%Counter-strafing

10.3°Preaim

536msReaction time

28.9%T opening success

59.7%CT opening success

0.76Enemies flashed / flash

26.3%Flash assists

7.88HE damage / grenade

12.35Flashes / 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 28.9343% — 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.

46% 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
ancient	13–8	-0.03	17%	29 Aug →
ancient	9–2	0.05	30%	22 Aug →
dust2	13–9	0.04	42%	22 Aug →
cache	7–13	-0.08	19%	21 Aug →
ancient	13–11	0.07	23%	20 Aug →
inferno	16–14	0.01	22%	19 Aug →
cache	13–9	-0.06	21%	19 Aug →
ancient	7–13	-0.07	18%	19 Aug →
nuke	13–11	-0.02	22%	19 Aug →
anubis	13–9	0.01	28%	14 Aug →
nuke	3–13	-0.06	28%	13 Aug →
ancient	11–13	0.01	23%	13 Aug →
nuke	8–13	-0.03	36%	12 Aug →
fachwerk	1–9	0.20	50%	11 Aug →
inferno	19–15	0.06	21%	30 Jul →
anubis	7–13	-0.03	17%	29 Jul →
ancient	6–13	-0.06	28%	15 Jul →
inferno	13–7	0.04	26%	15 Jul →
ancient	13–7	0.04	20%	15 Jul →
ancient	13–3	0.09	16%	15 Jul →
ancient	11–13	-0.02	27%	15 Jul →
ancient	13–9	-0.01	38%	15 Jul →
anubis	16–12	-0.02	17%	11 Jul →
nuke	13–11	0.00	24%	1 Jul →
inferno	13–6	0.03	27%	26 Jun →
cache	3–13	-0.03	24%	25 Jun →
nuke	13–7	0.02	27%	17 Jun →
ancient	13–5	0.03	17%	11 Jun →
cache	9–13	-0.01	26%	11 Jun →
anubis	11–13	0.07	28%	5 Jun →
ancient	8–13	0.04	21%	4 Jun →
nuke	13–5	-0.02	23%	4 Jun →
ancient	13–4	0.10	29%	23 May →
cache	13–11	0.07	42%	22 May →
ancient	13–7	0.03	14%	22 May →
nuke	13–10	0.03	36%	22 May →
cache	10–13	0.06	22%	22 May →
ancient	13–2	0.07	46%	22 May →
cache	13–7	0.01	24%	22 May →
anubis	13–5	0.04	20%	22 May →
ancient	13–11	0.05	23%	21 May →
anubis	13–10	0.03	28%	21 May →
inferno	4–13	-0.07	27%	21 May →
cache	16–13	0.10	28%	21 May →
nuke	13–10	-0.00	20%	21 May →
ancient	13–8	-0.04	17%	14 May →
nuke	13–11	0.03	49%	14 May →
inferno	13–11	0.02	26%	14 May →
ancient	7–13	-0.05	26%	14 May →
inferno	13–6	0.01	24%	14 May →
cache	13–8	0.05	23%	14 May →
cache	13–3	0.03	22%	14 May →
cache	13–6	0.11	40%	14 May →
cache	13–4	0.06	31%	14 May →
cache	12–12	0.00	23%	14 May →
cache	13–11	0.08	25%	13 May →
cache	5–13	-0.05	41%	13 May →
inferno	11–13	0.04	31%	12 May →
cache	12–12	0.03	24%	8 May →
dust2	9–13	0.02	30%	2 May →
cache	13–11	0.02	33%	29 Apr →
nuke	13–7	-0.01	22%	25 Apr →
mirage	11–13	0.06	35%	18 Apr →
dust2	13–11	-0.02	25%	18 Apr →
inferno	13–2	0.02	22%	17 Apr →
anubis	13–11	-0.06	15%	17 Apr →
inferno	8–13	-0.02	32%	9 Apr →
nuke	11–13	-0.05	29%	27 Mar →
inferno	13–9	0.14	38%	18 Mar →
inferno	8–13	0.02	28%	13 Mar →
anubis	13–7	0.06	43%	9 Mar →
ancient	16–14	0.04	36%	9 Mar →
mirage	10–13	0.02	36%	27 Feb →
nuke	16–12	0.01	16%	27 Feb →
anubis	9–13	0.00	22%	19 Feb →
inferno	7–13	-0.00	31%	19 Feb →
nuke	13–9	0.04	36%	19 Feb →
inferno	4–13	0.03	38%	19 Feb →
inferno	11–13	-0.07	19%	14 Feb →
ancient	13–4	0.10	26%	14 Feb →
inferno	13–4	0.01	19%	14 Feb →
anubis	7–13	0.00	29%	13 Feb →
nuke	20–22	-0.04	17%	13 Feb →
ancient	13–4	0.08	30%	11 Feb →
ancient	13–6	0.05	22%	11 Feb →
nuke	13–7	-0.04	15%	11 Feb →
anubis	8–13	0.00	27%	10 Feb →
inferno	7–13	-0.01	16%	10 Feb →
ancient	15–19	-0.03	21%	9 Feb →
ancient	13–11	0.02	24%	9 Feb →
inferno	13–9	0.04	20%	9 Feb →
ancient	9–13	-0.01	18%	9 Feb →
inferno	7–13	-0.01	38%	9 Feb →
anubis	10–13	-0.06	25%	19 Jan →
ancient	13–10	0.02	21%	19 Jan →
anubis	11–13	0.00	27%	18 Jan →
inferno	11–13	0.04	20%	17 Jan →
inferno	11–13	0.05	19%	9 Jan →
overpass	11–13	0.05	21%	9 Jan →
mirage	13–7	0.18	24%	9 Jan →