Masterczułki — CS2 Stats

76561199553597052[U:1:1593331324]

1,081Tracked matches33%Win rate2023Tracked since

1,632Hours in CS23Hrs last 2 wks

CSDB Rating1.6 Learning

Premier CS Rating3,225Grey band · top ~86.3% of ranked players (population est.)

CSDB Leaderboard#11833 of 15342 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim17

Positioning32

Utility20

0–100 skill scores via Leetify.

Recent form

STEADY38–58–4Last 10038%Win rateLWWLWLLWLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim1.7

Aggression1.4

Utility2.0

Positioning3.2

Opening Duels0.0

Clutch0.0

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 60% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 32% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 741ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.7

Positioning3.2

Utility2.0

Mechanics1.8

Opening Duels0.2

Win Impact0.0

Composite 1.6/10 (Learning), 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 rating-0.03+0.03

first ⅓ avg -0.06 → last ⅓ avg -0.03

Reaction time738ms−18ms

first ⅓ avg 756ms → last ⅓ avg 738ms

Headshot accuracy10.5%−0.2%

first ⅓ avg 10.7% → last ⅓ avg 10.5%

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

0.11Best rating — inferno 9–13

13–1Biggest win — mirage

3Longest win streak

5–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 60% over 5vertigoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	17	10–7	59%	-0.05
ancient	C	17	6–11	35%	-0.05
nuke	C	17	7–10	41%	-0.04
mirage	D	16	4–12	25%	-0.04
vertigo	D	9	2–7	22%	-0.07
inferno	C	7	3–4	43%	-0.00
dust2	D	7	2–5	29%	-0.03
cache	A	5	3–2	60%	-0.07
office	—	3	1–2	33%	-0.06
train	—	1	0–1	0%	-0.09
overpass	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,848Lifetime kills

0.58K/D

2,462Matches

38.5%Match win rate

32.4%Headshot %

0.1%Shot accuracy

2,706MVPs

923Hours (in match)

4,068Bombs planted

438Bombs defused

Most-used weapons

M4A4 / M4A1-S6,310

Galil AR5,289

FAMAS2,189

P2000 / USP-S1,470

MAC-101,184

P901,070

Glock-181,011

MP9746

MP7649

AK-47628

Lifetime map wins

3,564nuke

2,806inferno

2,434dust2

2,255vertigo

363train

258office

54italy

1ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

18Matches

22%Win rate

0.72Avg K/D

63.8ADR

28%Headshot %

Clutches & streaks

0%1v1 clutch win

20%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	5	40%	1.02	11.4
Mirage	4	25%	0.78	12.0
Dust2	3	33%	0.74	12.0
Nuke	2	0%	0.56	10.5
Ancient	2	0%	0.53	9.0
Vertigo	1	0%	0.13	2.0
Cache	1	0%	0.21	4.0

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.

10.6%Headshot accuracy

33.4%Accuracy (enemy spotted)

39.5%Spray accuracy

57.9%Counter-strafing

14.4°Preaim

741msReaction time

13.8%T opening success

31.5%CT opening success

0.23Enemies flashed / flash

1.2%Flash assists

9.72HE damage / grenade

0.89Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.4288° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.575% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 741.2532ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Vertigo

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	-0.08	10%	24 Aug →
mirage	13–8	0.03	11%	22 Aug →
vertigo	13–7	-0.04	13%	20 Aug →
anubis	5–13	-0.03	4%	20 Aug →
inferno	13–8	-0.04	16%	20 Aug →
ancient	10–13	-0.07	8%	20 Aug →
ancient	10–13	-0.06	5%	19 Aug →
cache	13–4	-0.03	6%	18 Aug →
nuke	1–13	-0.08	11%	17 Aug →
ancient	2–13	-0.07	6%	17 Aug →
nuke	13–7	-0.02	12%	15 Aug →
anubis	13–5	-0.03	9%	15 Aug →
mirage	4–13	0.02	15%	15 Aug →
cache	4–13	-0.07	7%	15 Aug →
ancient	14–16	0.00	10%	14 Aug →
nuke	5–13	-0.01	13%	14 Aug →
anubis	13–5	-0.01	15%	14 Aug →
mirage	9–13	0.05	20%	14 Aug →
ancient	13–4	-0.05	7%	13 Aug →
ancient	7–13	-0.03	7%	12 Aug →
mirage	5–13	-0.03	10%	12 Aug →
dust2	14–16	-0.04	13%	11 Aug →
anubis	13–8	0.04	11%	11 Aug →
cache	7–13	-0.09	9%	10 Aug →
anubis	9–13	-0.09	7%	10 Aug →
mirage	13–16	0.02	13%	8 Aug →
anubis	16–13	-0.01	10%	8 Aug →
nuke	5–13	-0.03	9%	8 Aug →
ancient	9–13	-0.02	18%	8 Aug →
mirage	6–13	-0.04	9%	6 Aug →
ancient	15–15	0.01	9%	6 Aug →
ancient	13–11	-0.03	15%	5 Aug →
inferno	0–10	-0.01	11%	4 Aug →
vertigo	8–13	-0.08	0%	3 Aug →
anubis	10–13	-0.06	7%	3 Aug →
anubis	13–6	-0.04	11%	30 Jul →
mirage	5–13	0.01	19%	30 Jul →
nuke	1–13	-0.08	6%	26 Jul →
dust2	13–10	0.03	9%	26 Jul →
mirage	1–13	-0.04	4%	26 Jul →
cache	13–10	-0.07	13%	23 Jul →
vertigo	6–13	-0.09	13%	22 Jul →
dust2	11–13	-0.05	20%	22 Jul →
nuke	13–11	-0.04	6%	21 Jul →
vertigo	10–13	-0.03	22%	20 Jul →
anubis	1–13	-0.13	0%	19 Jul →
nuke	13–9	-0.03	17%	19 Jul →
nuke	12–12	-0.03	12%	16 Jul →
mirage	13–10	-0.07	16%	14 Jul →
mirage	13–1	-0.01	0%	13 Jul →
cache	13–7	-0.08	8%	11 Jul →
anubis	7–13	-0.12	11%	11 Jul →
nuke	13–8	0.02	11%	11 Jul →
nuke	13–4	-0.08	5%	10 Jul →
mirage	7–13	-0.04	6%	8 Jul →
vertigo	6–13	-0.07	21%	8 Jul →
ancient	4–13	-0.04	13%	5 Jul →
inferno	9–13	0.11	5%	1 Jul →
ancient	10–13	-0.08	3%	26 Jun →
anubis	13–11	-0.09	2%	22 May →
nuke	4–1	0.04	0%	22 May →
dust2	12–12	-0.05	15%	27 Mar →
ancient	10–13	-0.11	6%	6 Feb →
inferno	7–13	-0.07	6%	6 Feb →
nuke	9–13	-0.07	12%	5 Feb →
mirage	13–7	-0.05	12%	5 Feb →
office	7–13	-0.04	16%	4 Feb →
vertigo	13–6	-0.09	9%	4 Feb →
vertigo	11–13	-0.03	11%	4 Feb →
anubis	13–11	-0.06	3%	4 Feb →
train	6–13	-0.09	12%	31 Jan →
dust2	12–12	-0.06	12%	31 Jan →
nuke	13–8	-0.00	13%	31 Jan →
vertigo	7–13	-0.06	4%	30 Jan →
anubis	13–11	-0.01	11%	30 Jan →
nuke	3–13	-0.07	19%	30 Jan →
dust2	8–13	-0.04	18%	28 Jan →
inferno	13–2	0.00	10%	27 Jan →
anubis	1–9	-0.01	5%	26 Jan →
ancient	13–5	-0.06	14%	26 Jan →
anubis	13–9	-0.02	20%	25 Jan →
office	13–5	-0.08	10%	22 Jan →
mirage	12–16	-0.05	12%	22 Jan →
office	10–13	-0.06	18%	17 Jan →
nuke	9–13	-0.05	12%	14 Jan →
ancient	13–10	-0.05	6%	14 Jan →
nuke	10–13	-0.06	11%	13 Jan →
overpass	8–13	-0.08	6%	13 Jan →
inferno	13–9	-0.03	4%	13 Jan →
inferno	6–13	0.04	5%	10 Jan →
ancient	16–12	-0.05	8%	9 Jan →
nuke	10–13	-0.08	11%	7 Jan →
mirage	2–13	-0.15	0%	7 Jan →
dust2	13–3	0.01	11%	7 Jan →
ancient	2–13	-0.10	7%	3 Jan →
vertigo	3–13	-0.12	2%	3 Jan →
anubis	13–7	-0.03	5%	3 Jan →
mirage	5–13	-0.10	7%	3 Jan →
mirage	5–13	-0.11	21%	3 Jan →
ancient	13–4	-0.08	38%	1 Jan →