noSoul22 — CS2 Stats

76561198038319533[U:1:78053805]

5,037Tracked matches43%Win rate2020Tracked since

CSDB Rating6.2 SolidPassive Rifler

FaceitLevel 10 · 2,822 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning52

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWLLWWWLLW

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

Player DNA

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

Aim9.1

Aggression3.6

Utility5.4

Positioning5.2

Opening Duels0.2

Clutch4.0

Sharp aimerStrong CT-side opener

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 90% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 49% on CT to 12% 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

Aim9.1

Positioning5.2

Utility5.4

Mechanics6.2

Opening Duels2.4

Win Impact2.8

Composite 6.2/10 (Solid), 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 0.00 → last ⅓ avg 0.01

Reaction time503ms−68ms

first ⅓ avg 571ms → last ⅓ avg 503ms

Headshot accuracy22.1%−0.4%

first ⅓ avg 22.5% → last ⅓ avg 22.1%

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

0.21Best rating — ancient 13–4

13–1Biggest win — inferno

6Longest win streak

9–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 71% over 7dust2Weakest map · 45% over 31

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.01
anubis	B	22	11–11	50%	0.00
inferno	B	17	8–9	47%	0.02
ancient	B	13	7–6	54%	0.04
overpass	S	7	5–2	71%	0.02
nuke	B	6	3–3	50%	-0.03
cache	—	2	2–0	100%	0.05
mirage	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,371Matches

51%Win rate

1.15Avg K/D

82.1ADR

54%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	971	53%	1.19	16.8
Anubis	691	51%	1.15	16.4
Inferno	581	53%	1.21	16.9
Ancient	566	48%	1.16	16.8
Overpass	186	59%	1.26	18.2
Mirage	185	39%	1.05	15.8
Nuke	181	48%	1.11	16.6
Train	130	48%	1.14	17.1

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.

22.4%Headshot accuracy

38.6%Accuracy (enemy spotted)

45.3%Spray accuracy

77.7%Counter-strafing

7.3°Preaim

501msReaction time

12.1%T opening success

49.2%CT opening success

0.52Enemies flashed / flash

4.5%Flash assists

7.72HE damage / grenade

11.71Flashes / 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 12.148% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.08	5%	28 Aug →
dust2	13–7	0.03	44%	26 Aug →
dust2	13–16	-0.03	17%	26 Aug →
nuke	14–16	-0.04	40%	26 Aug →
cache	13–11	0.08	19%	23 Aug →
ancient	13–8	0.03	39%	21 Aug →
anubis	16–13	0.03	23%	20 Aug →
inferno	10–13	0.04	15%	17 Aug →
dust2	9–13	-0.04	8%	15 Aug →
dust2	13–8	-0.01	19%	13 Aug →
cache	13–4	0.02	20%	12 Aug →
dust2	13–8	0.06	38%	10 Aug →
dust2	13–9	0.05	22%	28 Jul →
dust2	13–8	0.04	17%	25 Jul →
ancient	7–13	0.05	24%	25 Jul →
anubis	10–13	0.02	23%	24 Jul →
dust2	5–13	-0.08	23%	24 Jul →
ancient	13–8	0.02	20%	23 Jul →
ancient	13–11	0.09	15%	18 Jul →
ancient	6–13	0.04	33%	15 Jul →
nuke	5–13	-0.01	23%	8 Jul →
anubis	8–13	-0.03	22%	5 Jul →
dust2	11–13	-0.02	21%	3 Jul →
nuke	13–2	0.03	10%	2 Jul →
inferno	10–13	0.05	24%	1 Jul →
inferno	9–13	-0.01	26%	28 Jun →
anubis	9–13	-0.01	19%	26 Jun →
inferno	13–1	0.09	18%	23 Jun →
ancient	9–13	0.00	17%	19 Jun →
dust2	9–13	-0.03	23%	17 Jun →
anubis	16–14	0.05	20%	15 Jun →
anubis	9–13	-0.02	18%	15 Jun →
inferno	1–13	-0.07	23%	14 Jun →
overpass	13–10	0.08	17%	14 Jun →
overpass	13–11	0.07	19%	7 Jun →
dust2	14–16	0.02	26%	7 Jun →
dust2	9–13	-0.01	22%	6 Jun →
mirage	14–16	0.03	21%	6 Jun →
dust2	13–3	0.16	26%	6 Jun →
anubis	13–3	0.07	26%	4 Jun →
dust2	13–4	0.00	26%	31 May →
inferno	13–10	-0.03	23%	31 May →
dust2	13–5	0.09	24%	29 May →
overpass	13–4	0.03	22%	24 May →
anubis	8–13	-0.03	23%	23 May →
dust2	13–5	0.06	24%	19 May →
dust2	9–13	-0.01	27%	18 May →
inferno	5–13	0.07	30%	16 May →
anubis	13–6	0.05	20%	16 May →
ancient	13–10	0.04	16%	16 May →
inferno	8–13	-0.03	15%	16 May →
dust2	5–13	-0.05	17%	15 May →
inferno	13–7	-0.02	26%	14 May →
anubis	1–13	-0.10	28%	12 May →
anubis	3–13	-0.04	29%	10 May →
dust2	13–11	0.03	26%	9 May →
dust2	13–10	0.04	27%	8 May →
anubis	9–13	0.01	23%	8 May →
inferno	13–6	0.15	32%	28 Apr →
anubis	13–8	-0.00	19%	26 Apr →
inferno	11–13	0.05	21%	25 Apr →
anubis	13–7	-0.01	22%	24 Apr →
inferno	13–5	0.01	21%	23 Apr →
dust2	13–5	0.05	36%	17 Apr →
dust2	13–5	0.17	31%	17 Apr →
overpass	13–2	0.03	33%	16 Apr →
anubis	3–13	-0.05	14%	13 Apr →
dust2	4–13	0.02	24%	11 Apr →
inferno	13–4	-0.02	20%	11 Apr →
inferno	11–13	0.01	30%	7 Apr →
mirage	13–11	0.01	31%	6 Apr →
dust2	10–13	-0.00	20%	6 Apr →
inferno	13–5	0.03	13%	5 Apr →
inferno	13–5	0.03	21%	2 Apr →
ancient	10–13	0.04	13%	31 Mar →
anubis	11–13	-0.00	31%	27 Mar →
anubis	13–10	-0.05	16%	26 Mar →
nuke	13–11	-0.07	25%	24 Mar →
nuke	13–11	-0.07	25%	24 Mar →
ancient	14–16	-0.01	22%	17 Mar →
anubis	13–10	0.00	20%	16 Mar →
dust2	2–13	-0.08	18%	14 Mar →
ancient	13–7	0.08	27%	10 Mar →
ancient	9–13	-0.03	25%	22 Feb →
nuke	11–13	-0.01	25%	2 Feb →
anubis	13–7	0.09	15%	29 Jan →
ancient	13–4	0.21	32%	28 Jan →
overpass	13–11	-0.03	21%	26 Jan →
overpass	10–13	0.01	22%	23 Jan →
anubis	13–8	0.03	21%	20 Jan →
overpass	7–13	-0.06	10%	16 Jan →
inferno	8–13	-0.03	26%	16 Jan →
anubis	13–4	0.08	22%	15 Jan →
dust2	8–13	0.04	20%	13 Jan →
dust2	7–13	-0.09	25%	10 Jan →
dust2	13–3	0.01	20%	10 Jan →
dust2	8–13	0.01	41%	7 Jan →
ancient	13–9	0.01	23%	3 Jan →
dust2	11–13	-0.06	16%	31 Dec →
dust2	10–13	-0.00	22%	29 Dec →