stasyan — CS2 Stats

RU76561199030493049[U:1:1070227321]Steam profile ↗✓ No bans

981Tracked matches41%Win rate2020Tracked since

CSDB Rating4.3 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning46

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY38–54–8Last 10038%Win rateLLLLWLLWWW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim4.5

Aggression5.8

Utility5.5

Positioning4.6

Opening Duels1.1

Clutch3.4

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 642ms 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

Aim4.5

Positioning4.6

Utility5.5

Mechanics5.6

Opening Duels1.1

Win Impact2.1

Composite 4.3/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time641ms−45ms

first ⅓ avg 687ms → last ⅓ avg 641ms

Headshot accuracy14.5%−2.2%

first ⅓ avg 16.6% → last ⅓ avg 14.5%

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 — nuke 9–0

13–2Biggest win — cache

5Longest win streak

L4Current streak

7–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	-0.01
mirage	D	23	7–16	30%	-0.01
nuke	D	11	3–8	27%	-0.04
anubis	D	7	2–5	29%	-0.03
train	B	6	3–3	50%	-0.01
inferno	B	6	3–3	50%	-0.04
cache	D	6	2–4	33%	-0.01
overpass	A	5	3–2	60%	-0.01
ancient	C	5	2–3	40%	-0.01
vertigo	—	2	0–2	0%	-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

197Matches

54%Win rate

0.91Avg K/D

70.2ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	52	63%	0.96	13.1
Dust2	35	40%	0.87	14.8
Nuke	16	75%	1.10	15.3
Anubis	14	64%	0.97	12.9
Ancient	13	62%	1.11	15.2
Inferno	10	40%	0.79	12.3
Train	9	67%	0.88	14.2
Cache	5	40%	0.76	13.8

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.

14.6%Headshot accuracy

31.3%Accuracy (enemy spotted)

37.2%Spray accuracy

75.0%Counter-strafing

11.9°Preaim

642msReaction time

32.6%T opening success

36.6%CT opening success

0.72Enemies flashed / flash

5.4%Flash assists

6.25HE damage / grenade

5.39Flashes / 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.

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 14.6292% — below the 15% mark we flag
Aim Training →
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 32.5863% — 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.

27% win rate across 11 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	-0.04	18%	24 Aug →
mirage	7–13	-0.02	20%	24 Aug →
train	7–13	-0.03	20%	23 Aug →
mirage	5–13	-0.03	21%	23 Aug →
dust2	13–5	0.06	20%	23 Aug →
anubis	8–13	0.01	10%	23 Aug →
mirage	11–13	-0.01	21%	14 Aug →
inferno	9–7	-0.13	11%	28 Jul →
train	13–6	0.00	23%	26 Jul →
mirage	13–5	0.02	10%	25 Jul →
dust2	13–4	0.02	12%	25 Jul →
train	7–13	-0.04	21%	24 Jul →
dust2	13–11	-0.02	14%	24 Jul →
dust2	5–13	0.01	17%	24 Jul →
dust2	11–13	-0.07	3%	19 Jul →
dust2	16–14	0.00	15%	17 Jul →
mirage	15–15	-0.03	13%	17 Jul →
nuke	6–13	-0.02	11%	17 Jul →
dust2	13–4	0.03	27%	17 Jul →
inferno	13–10	0.00	16%	4 Jul →
overpass	5–13	-0.03	14%	4 Jul →
cache	13–2	-0.01	20%	3 Jul →
anubis	5–13	-0.10	3%	3 Jul →
anubis	12–16	-0.04	15%	2 Jul →
nuke	13–6	-0.08	8%	2 Jul →
dust2	13–6	-0.07	16%	2 Jul →
mirage	11–13	-0.05	7%	2 Jul →
anubis	13–5	-0.01	10%	2 Jul →
overpass	3–13	-0.08	0%	27 Jun →
nuke	3–13	-0.02	22%	27 Jun →
vertigo	9–13	-0.04	16%	27 Jun →
mirage	2–13	-0.08	5%	25 Jun →
dust2	13–11	-0.03	21%	25 Jun →
train	13–3	0.05	12%	19 Jun →
cache	5–13	-0.05	17%	19 Jun →
overpass	13–6	-0.05	15%	19 Jun →
train	12–12	-0.05	18%	17 Jun →
anubis	4–13	-0.03	21%	17 Jun →
dust2	10–13	-0.01	12%	17 Jun →
nuke	8–8	-0.02	9%	17 Jun →
inferno	9–2	0.10	17%	17 Jun →
dust2	7–13	0.01	24%	13 Jun →
ancient	11–13	-0.05	23%	13 Jun →
inferno	8–8	-0.02	18%	13 Jun →
nuke	9–0	0.11	6%	13 Jun →
mirage	13–8	0.02	15%	12 Jun →
nuke	7–13	-0.05	23%	12 Jun →
anubis	13–8	0.02	23%	11 Jun →
mirage	13–6	-0.02	12%	11 Jun →
dust2	11–13	-0.04	24%	11 Jun →
mirage	7–13	-0.01	20%	10 Jun →
dust2	4–13	-0.06	13%	10 Jun →
vertigo	5–9	-0.15	4%	7 Jun →
overpass	9–1	0.09	47%	7 Jun →
nuke	3–9	-0.15	21%	7 Jun →
inferno	6–9	-0.13	10%	7 Jun →
mirage	9–13	0.03	27%	7 Jun →
dust2	13–2	-0.03	10%	7 Jun →
nuke	5–9	-0.11	6%	7 Jun →
overpass	13–11	-0.00	15%	5 Jun →
nuke	0–9	-0.08	25%	5 Jun →
dust2	5–13	0.01	18%	3 Jun →
dust2	13–9	0.00	17%	3 Jun →
mirage	9–13	-0.06	20%	3 Jun →
dust2	8–13	0.03	16%	1 Jun →
mirage	6–13	-0.04	11%	1 Jun →
dust2	12–12	-0.00	13%	28 May →
mirage	9–13	0.01	23%	28 May →
mirage	13–10	-0.02	37%	22 May →
dust2	8–13	-0.04	19%	22 May →
mirage	13–10	0.05	18%	22 May →
dust2	7–13	-0.01	13%	22 May →
nuke	8–13	-0.05	16%	21 May →
dust2	13–3	-0.02	14%	21 May →
ancient	13–10	-0.03	20%	21 May →
mirage	10–13	0.01	13%	21 May →
dust2	12–12	0.02	11%	21 May →
ancient	13–9	0.05	13%	16 May →
mirage	13–6	0.03	23%	15 May →
dust2	13–8	0.01	13%	15 May →
train	13–11	-0.01	15%	15 May →
nuke	13–8	0.03	23%	15 May →
cache	11–13	-0.04	11%	15 May →
mirage	12–12	0.02	19%	15 May →
dust2	10–13	-0.04	11%	15 May →
ancient	6–13	-0.08	20%	11 May →
ancient	4–13	0.07	15%	10 May →
mirage	4–13	-0.03	8%	10 May →
cache	11–13	0.00	12%	10 May →
cache	3–0	0.00	29%	10 May →
mirage	13–11	-0.05	10%	10 May →
dust2	10–13	0.01	13%	10 May →
dust2	13–7	-0.02	8%	10 May →
anubis	12–12	-0.06	4%	9 May →
inferno	8–13	-0.04	16%	9 May →
mirage	4–13	-0.05	18%	9 May →
cache	7–13	0.05	29%	9 May →
dust2	9–13	0.01	25%	9 May →
dust2	13–8	-0.01	12%	9 May →
mirage	6–13	0.00	18%	8 May →