sotzzy — CS2 Stats

KH76561198078581062[U:1:118315334]Steam profile ↗✓ No bans

245Tracked matches26%Win rate2020Tracked since

CSDB Rating4.4 Developing

Premier CS Rating19,652Purple band · top ~9.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning61

Utility23

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateLLLWTLLLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression8.5

Utility2.3

Positioning6.1

Opening Duels4.6

Clutch2.6

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 ropz 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

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 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9

Positioning6.1

Utility2.3

Mechanics4.1

Opening Duels4.6

Win Impact0.0

Composite 4.4/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time640ms−27ms

first ⅓ avg 668ms → last ⅓ avg 640ms

Headshot accuracy16.7%−2.9%

first ⅓ avg 19.6% → last ⅓ avg 16.7%

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

0.22Best rating — nuke 13–5

13–1Biggest win — cache

3Longest win streak

L3Current streak

11–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 80% over 5nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	0.02
mirage	D	17	5–12	29%	-0.00
nuke	D	12	3–9	25%	0.03
anubis	C	12	5–7	42%	0.01
cache	C	9	4–5	44%	0.01
inferno	D	9	3–6	33%	-0.01
ancient	C	7	3–4	43%	-0.00
vertigo	S	5	4–1	80%	0.01
train	—	2	0–2	0%	-0.04
overpass	—	1	0–1	0%	-0.01
golden	—	1	1–0	100%	0.06
office	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

191Matches

47%Win rate

0.87Avg K/D

70.8ADR

29%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	0%	0.60	12.0
Mirage	1	100%	1.17	14.0

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.

16.5%Headshot accuracy

38.3%Accuracy (enemy spotted)

42.2%Spray accuracy

68.5%Counter-strafing

11.3°Preaim

641msReaction time

39.8%T opening success

56.7%CT opening success

0.39Enemies flashed / flash

5.4%Flash assists

2.64HE damage / grenade

3.18Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3942 — below the 0.5 mark we flag
Grenade Lineups →
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 39.7832% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.07	19%	23 Aug →
nuke	4–13	-0.09	21%	21 Aug →
mirage	3–13	-0.05	25%	21 Aug →
anubis	13–9	0.02	25%	21 Aug →
nuke	12–12	0.01	8%	20 Aug →
mirage	4–13	-0.01	20%	20 Aug →
anubis	7–13	-0.00	13%	17 Aug →
dust2	3–13	0.02	26%	7 Aug →
dust2	6–13	0.03	19%	6 Aug →
cache	7–13	0.08	15%	6 Aug →
anubis	2–13	-0.00	14%	6 Aug →
cache	1–13	-0.02	27%	6 Aug →
inferno	10–13	0.01	20%	5 Aug →
dust2	8–13	0.12	16%	5 Aug →
cache	12–12	0.00	17%	5 Aug →
dust2	11–13	0.04	11%	2 Aug →
nuke	9–13	-0.01	9%	29 Jul →
nuke	9–13	0.00	27%	29 Jul →
anubis	9–13	-0.05	14%	29 Jul →
ancient	13–11	-0.02	10%	28 Jul →
cache	5–13	0.02	19%	28 Jul →
nuke	13–16	-0.01	16%	22 Jul →
dust2	13–6	0.07	22%	22 Jul →
dust2	11–13	0.03	12%	22 Jul →
mirage	13–10	0.08	20%	22 Jul →
anubis	13–5	0.05	9%	22 Jul →
anubis	12–12	0.12	9%	22 Jul →
mirage	2–13	0.01	20%	20 Jul →
dust2	13–5	0.08	19%	11 Jul →
inferno	13–6	-0.02	7%	11 Jul →
mirage	12–16	-0.01	16%	11 Jul →
mirage	11–13	-0.07	18%	10 Jul →
anubis	14–16	-0.04	9%	10 Jul →
inferno	3–13	-0.06	13%	10 Jul →
cache	13–1	-0.00	11%	10 Jul →
mirage	0–13	-0.07	0%	10 Jul →
mirage	13–11	-0.06	23%	9 Jul →
anubis	13–9	-0.02	20%	9 Jul →
inferno	1–10	-0.11	7%	9 Jul →
mirage	13–11	-0.04	20%	9 Jul →
cache	13–11	-0.05	20%	9 Jul →
mirage	5–13	-0.07	12%	9 Jul →
anubis	13–11	-0.04	8%	9 Jul →
cache	13–4	0.01	10%	9 Jul →
cache	13–9	0.01	17%	9 Jul →
mirage	4–13	-0.05	14%	9 Jul →
mirage	11–13	0.08	7%	8 Jul →
dust2	13–5	0.11	33%	8 Jul →
nuke	7–13	-0.05	15%	7 Jul →
vertigo	6–4	-0.03	11%	1 Jul →
dust2	13–7	-0.03	20%	1 Jul →
mirage	13–6	0.08	49%	23 Jun →
cache	6–13	0.03	55%	23 Jun →
nuke	13–5	0.22	46%	23 Jun →
inferno	10–13	0.03	18%	23 Jun →
dust2	13–11	-0.02	31%	23 Jun →
ancient	9–13	0.02	21%	22 Jun →
nuke	13–1	0.20	21%	22 Jun →
vertigo	13–11	0.03	22%	6 Jun →
nuke	3–13	0.06	26%	6 Jun →
vertigo	13–8	0.02	28%	6 Jun →
ancient	8–13	-0.10	11%	27 May →
mirage	9–13	-0.01	25%	27 Apr →
ancient	13–9	-0.05	14%	26 Apr →
dust2	13–5	0.04	21%	6 Feb →
dust2	4–13	-0.07	9%	22 Jan →
dust2	13–11	0.01	17%	19 Jan →
inferno	13–6	0.07	16%	19 Jan →
dust2	5–13	-0.02	29%	18 Jan →
dust2	13–9	0.15	27%	10 Jan →
nuke	7–13	0.01	10%	13 Dec →
mirage	12–12	0.05	23%	13 Dec →
overpass	8–13	-0.01	28%	11 Dec →
vertigo	13–9	0.07	18%	7 Dec →
anubis	8–13	-0.04	24%	7 Dec →
dust2	7–13	0.02	20%	7 Dec →
nuke	13–7	0.06	13%	7 Dec →
ancient	13–11	0.11	23%	7 Dec →
train	7–13	-0.06	17%	7 Dec →
anubis	13–3	0.09	17%	7 Dec →
mirage	5–13	0.03	24%	4 Dec →
dust2	4–13	0.05	41%	4 Dec →
nuke	9–13	0.02	14%	3 Dec →
anubis	10–13	0.07	18%	3 Dec →
inferno	11–13	0.05	22%	1 Dec →
dust2	12–12	-0.02	13%	30 Nov →
dust2	13–11	0.01	25%	30 Nov →
ancient	6–13	-0.01	33%	30 Nov →
dust2	13–8	-0.01	39%	30 Nov →
inferno	12–12	0.02	9%	30 Nov →
ancient	12–12	0.04	20%	30 Nov →
golden	13–7	0.06	18%	30 Nov →
train	4–13	-0.02	6%	30 Nov →
dust2	1–13	-0.04	6%	30 Nov →
inferno	13–8	-0.05	11%	29 Nov →
mirage	13–5	0.02	10%	8 Nov →
office	13–8	0.04	4%	8 Nov →
dust2	4–13	-0.01	29%	8 Nov →
vertigo	3–13	-0.04	24%	4 Oct →
dust2	5–13	0.01	15%	4 Oct →