бочка Z квасом — CS2 Stats

KZ76561199059162250[U:1:1098896522]Steam profile ↗

636Tracked matches59%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim75

Positioning53

Utility14

0–100 skill scores via Leetify.

Recent form

HOT57–39–4Last 10057%Win rateLWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

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

Aim7.5

Aggression6.3

Utility1.4

Positioning5.3

Opening Duels2.7

Clutch4.0

Limited utility dependence

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

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

Reaction time. 661ms 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

Aim7.5

Positioning5.3

Utility1.4

Mechanics6.7

Opening Duels2.7

Win Impact7.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time669ms−23ms

first ⅓ avg 692ms → last ⅓ avg 669ms

Headshot accuracy28.7%−5.5%

first ⅓ avg 34.2% → last ⅓ avg 28.7%

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

0.19Best rating — inferno 13–2

13–0Biggest win — vertigo

9Longest win streak

3–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 100% over 7mirageWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	0.01
cache	A	10	6–4	60%	0.05
ancient	C	9	4–5	44%	0.00
anubis	A	9	5–4	56%	0.04
nuke	C	9	4–5	44%	0.03
inferno	S	9	7–2	78%	0.05
vertigo	S	7	7–0	100%	-0.01
dust2	A	7	4–3	57%	0.02
train	—	3	3–0	100%	0.03
office	—	3	1–2	33%	0.05
overpass	—	3	2–1	67%	-0.05
stronghold	—	3	2–1	67%	0.01
alpine	—	2	1–1	50%	0.01
italy	—	2	2–0	100%	0.05
warden	—	2	1–1	50%	0.07
shelter	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

142Matches

56%Win rate

1.24Avg K/D

79.3ADR

61%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	60%	1.29	16.6
Anubis	21	48%	1.25	17.9
Dust2	16	62%	1.02	17.4
Inferno	14	64%	1.23	17.6
Nuke	12	67%	1.58	19.3
Ancient	12	50%	1.23	19.8
Cache	5	20%	0.74	13.4
Train	2	100%	1.76	20.5

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.

27.4%Headshot accuracy

32.7%Accuracy (enemy spotted)

39.5%Spray accuracy

79.9%Counter-strafing

9.1°Preaim

661msReaction time

34.4%T opening success

47.5%CT opening success

0.12Enemies flashed / flash

2.5%Flash assists

8.99HE damage / grenade

1.03Flashes / 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 0.1243 — 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 34.3698% — below the 40% mark we flag

Spend your practice time on Mirage

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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	0.06	26%	18 Aug →
ancient	13–5	0.12	29%	13 Aug →
cache	13–5	0.11	35%	11 Aug →
anubis	9–13	0.04	15%	2 Aug →
nuke	13–6	0.09	22%	2 Aug →
vertigo	13–5	-0.06	28%	26 Jul →
vertigo	13–6	-0.05	26%	26 Jul →
vertigo	13–1	-0.04	22%	26 Jul →
vertigo	13–6	0.06	21%	26 Jul →
vertigo	13–0	0.06	33%	26 Jul →
ancient	6–13	-0.02	23%	21 Jul →
inferno	13–6	-0.01	26%	21 Jul →
shelter	9–13	-0.02	33%	21 Jul →
ancient	7–13	-0.03	24%	16 Jul →
train	13–2	0.03	24%	12 Jul →
office	3–13	-0.05	33%	12 Jul →
office	13–8	0.08	36%	12 Jul →
mirage	13–10	0.01	29%	11 Jul →
mirage	9–13	-0.06	26%	1 Jul →
mirage	7–0	0.04	55%	30 Jun →
mirage	8–13	-0.06	23%	22 Jun →
mirage	13–4	-0.01	22%	21 Jun →
anubis	11–13	0.04	22%	19 Jun →
ancient	13–10	0.01	22%	19 Jun →
mirage	10–13	0.01	21%	17 Jun →
nuke	15–15	0.02	39%	16 Jun →
nuke	10–13	0.03	38%	14 Jun →
mirage	6–13	-0.00	21%	13 Jun →
mirage	13–7	0.09	42%	13 Jun →
anubis	25–21	-0.02	25%	11 Jun →
ancient	13–5	0.01	33%	10 Jun →
nuke	7–13	0.03	36%	9 Jun →
mirage	7–13	-0.01	39%	9 Jun →
dust2	13–6	0.00	32%	5 Jun →
cache	13–3	0.02	46%	5 Jun →
dust2	7–13	0.02	18%	4 Jun →
train	13–4	-0.00	20%	1 Jun →
overpass	13–8	-0.06	34%	1 Jun →
cache	5–13	-0.02	29%	1 Jun →
ancient	8–13	-0.01	21%	31 May →
anubis	11–13	0.06	20%	27 May →
alpine	12–12	-0.06	30%	27 May →
italy	13–4	0.04	31%	27 May →
inferno	13–4	0.01	28%	27 May →
inferno	8–13	-0.01	44%	26 May →
mirage	6–13	0.01	31%	25 May →
nuke	8–13	-0.03	26%	22 May →
stronghold	13–3	0.08	29%	22 May →
overpass	2–13	-0.04	24%	22 May →
vertigo	10–4	0.03	38%	22 May →
warden	13–6	0.10	36%	20 May →
cache	13–8	0.11	45%	20 May →
cache	13–3	0.13	26%	19 May →
nuke	13–10	0.01	52%	18 May →
ancient	11–13	0.00	22%	12 May →
cache	13–11	0.06	36%	7 May →
cache	4–13	0.01	26%	6 May →
cache	7–13	0.01	19%	2 May →
cache	8–13	0.02	33%	29 Apr →
cache	13–8	0.04	26%	29 Apr →
anubis	11–13	-0.02	32%	25 Apr →
anubis	13–10	0.04	22%	24 Apr →
dust2	13–5	0.02	34%	24 Apr →
anubis	13–5	0.15	24%	21 Apr →
ancient	13–9	-0.04	36%	20 Apr →
nuke	13–10	-0.00	29%	20 Apr →
inferno	13–6	0.02	33%	20 Apr →
dust2	8–13	0.01	18%	17 Apr →
mirage	13–11	-0.01	37%	15 Apr →
anubis	13–1	0.04	45%	14 Apr →
inferno	13–8	0.08	35%	14 Apr →
mirage	8–2	-0.04	50%	8 Apr →
mirage	13–8	-0.02	36%	5 Apr →
stronghold	13–5	0.01	34%	1 Apr →
italy	10–5	0.05	28%	1 Apr →
train	5–6	0.07	21%	1 Apr →
overpass	13–8	-0.04	29%	27 Mar →
mirage	7–13	0.07	36%	27 Mar →
mirage	5–13	0.01	36%	26 Mar →
nuke	13–2	0.13	46%	25 Mar →
vertigo	13–7	-0.04	28%	25 Mar →
mirage	5–13	-0.01	38%	25 Mar →
inferno	10–13	0.08	32%	25 Mar →
mirage	7–13	0.02	27%	24 Mar →
inferno	13–3	0.05	41%	23 Mar →
dust2	9–13	0.01	33%	23 Mar →
mirage	11–13	0.10	22%	22 Mar →
nuke	12–12	0.02	34%	22 Mar →
dust2	13–2	0.01	31%	22 Mar →
office	12–12	0.11	42%	18 Mar →
ancient	2–13	-0.01	27%	17 Mar →
inferno	13–7	0.07	29%	17 Mar →
warden	10–13	0.04	47%	12 Mar →
dust2	13–10	0.05	31%	12 Mar →
anubis	13–3	0.02	30%	12 Mar →
mirage	13–10	-0.01	33%	9 Mar →
mirage	6–13	0.05	25%	9 Mar →
inferno	13–2	0.19	34%	9 Mar →
stronghold	6–13	-0.08	60%	9 Mar →
alpine	13–7	0.08	34%	8 Mar →