Russianator_5000 — CS2 Stats

RU76561198304255677[U:1:343989949]Steam profile ↗✓ No bans

1,263Tracked matches52%Win rate2020Tracked since

2,146Hours in CS13Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating17,303Purple band · top ~19.2% of ranked players (population est.)

CSDB Leaderboard#18023 of 33601 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	37.6%	42.1%	42.5%	4.9% short
Shot accuracy	10.9%	12.1%	10.9%	meets
Kill/death ratio	0.78	0.99	0.99	0.22 short
Match win rate	35.8%	43.9%	44.2%	8.4% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim34

Positioning33

Utility41

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLWLLLLLWWT

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim3.4

Aggression1.7

Utility4.1

Positioning3.3

Opening Duels0.0

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 68% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 645ms 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

Aim3.4

Positioning3.3

Utility4.1

Mechanics4.8

Opening Duels0.0

Win Impact5.6

Composite 3.6/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time652ms−28ms

first ⅓ avg 680ms → last ⅓ avg 652ms

Headshot accuracy13.1%+2.1%

first ⅓ avg 11.0% → last ⅓ avg 13.1%

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

0.09Best rating — mirage 10–13

13–1Biggest win — inferno

6Longest win streak

7–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 63% over 8cacheWeakest map · 28% over 29

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	29	8–21	28%	-0.04
mirage	B	20	10–10	50%	-0.05
nuke	A	20	11–9	55%	-0.02
ancient	D	9	3–6	33%	-0.02
inferno	A	8	5–3	63%	-0.04
anubis	C	7	3–4	43%	-0.04
dust2	B	6	3–3	50%	-0.03
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

56,063Lifetime kills

0.78K/D

3,815Matches

35.8%Match win rate

37.6%Headshot %

10.9%Shot accuracy

6,518MVPs

1,485Hours (in match)

1,858Bombs planted

1,037Bombs defused

Most-used weapons

AK-4712,065

M4A4 / M4A1-S9,423

AWP4,650

P2000 / USP-S3,808

Glock-183,097

Desert Eagle2,780

MAC-101,829

Galil AR1,611

MP71,537

MP91,510

Lifetime map wins

7,677nuke

2,868dust2

2,431vertigo

2,186inferno

2,165train

263cbble

108office

108lake

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

Faceit stats

Combat

37Matches

43%Win rate

0.88Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	2	50%	0.45	6.5
Nuke	1	100%	0.65	11.0
Mirage	1	0%	0.25	5.0

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.

13.0%Headshot accuracy

27.8%Accuracy (enemy spotted)

29.9%Spray accuracy

71.4%Counter-strafing

10.1°Preaim

645msReaction time

25.5%T opening success

21.5%CT opening success

0.53Enemies flashed / flash

1.6%Flash assists

6.29HE damage / grenade

3.85Flashes / 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 13.0398% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8533 — below the 4 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 25.4922% — below the 40% mark we flag

Spend your practice time on Cache

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

28% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	-0.06	18%	26 Aug →
inferno	13–1	-0.01	24%	26 Aug →
anubis	10–13	-0.04	4%	26 Aug →
mirage	1–13	-0.14	0%	25 Aug →
cache	4–13	-0.08	10%	25 Aug →
ancient	4–13	0.06	15%	25 Aug →
mirage	1–13	-0.11	17%	24 Aug →
nuke	13–10	-0.11	6%	23 Aug →
mirage	13–6	0.02	26%	22 Aug →
inferno	8–8	0.02	17%	22 Aug →
cache	13–10	-0.03	14%	22 Aug →
cache	16–13	-0.06	21%	21 Aug →
anubis	13–10	0.01	17%	20 Aug →
nuke	13–8	-0.04	15%	19 Aug →
mirage	13–8	-0.07	13%	18 Aug →
nuke	13–5	0.01	14%	17 Aug →
nuke	7–13	-0.05	7%	16 Aug →
cache	5–13	-0.03	22%	14 Aug →
nuke	13–5	0.05	13%	13 Aug →
cache	0–10	-0.04	11%	12 Aug →
cache	5–13	-0.01	12%	11 Aug →
mirage	3–13	-0.09	22%	11 Aug →
inferno	15–15	0.02	12%	7 Aug →
mirage	11–13	-0.09	6%	7 Aug →
anubis	13–10	-0.04	6%	6 Aug →
cache	6–13	-0.06	8%	6 Aug →
inferno	13–5	-0.12	7%	6 Aug →
dust2	13–7	-0.02	22%	5 Aug →
cache	8–13	-0.07	8%	5 Aug →
mirage	13–11	-0.07	13%	5 Aug →
nuke	13–8	-0.04	12%	5 Aug →
cache	15–15	-0.05	9%	4 Aug →
nuke	3–13	-0.00	12%	3 Aug →
cache	11–13	-0.04	11%	3 Aug →
nuke	11–13	0.06	13%	2 Aug →
mirage	10–13	0.09	10%	1 Aug →
cache	8–13	-0.08	6%	1 Aug →
nuke	13–6	0.06	19%	1 Aug →
cache	6–13	-0.06	6%	31 Jul →
inferno	13–6	-0.04	13%	31 Jul →
nuke	3–13	-0.07	11%	31 Jul →
mirage	13–5	-0.00	37%	31 Jul →
nuke	11–13	-0.00	14%	31 Jul →
mirage	13–10	-0.07	10%	30 Jul →
cache	6–13	-0.01	7%	30 Jul →
nuke	13–16	-0.04	10%	30 Jul →
cache	13–9	-0.04	0%	29 Jul →
train	11–13	-0.08	14%	29 Jul →
cache	12–12	-0.01	6%	29 Jul →
nuke	13–11	-0.09	11%	28 Jul →
nuke	13–6	-0.01	10%	28 Jul →
ancient	13–2	0.00	10%	28 Jul →
cache	13–6	-0.02	9%	27 Jul →
anubis	6–13	-0.08	7%	27 Jul →
mirage	6–13	-0.02	8%	27 Jul →
cache	11–13	-0.05	7%	27 Jul →
cache	13–11	-0.04	4%	27 Jul →
ancient	7–13	-0.07	13%	27 Jul →
dust2	6–13	-0.06	22%	27 Jul →
anubis	1–13	-0.07	10%	27 Jul →
mirage	2–13	-0.09	10%	26 Jul →
inferno	13–9	-0.05	15%	26 Jul →
cache	11–12	-0.02	8%	26 Jul →
anubis	13–11	-0.02	12%	26 Jul →
cache	3–13	-0.07	3%	26 Jul →
nuke	2–10	-0.11	6%	26 Jul →
mirage	8–13	-0.09	6%	26 Jul →
ancient	10–13	-0.10	14%	26 Jul →
ancient	4–13	-0.01	19%	25 Jul →
cache	1–13	-0.09	0%	25 Jul →
dust2	13–4	-0.05	2%	25 Jul →
cache	7–13	-0.04	19%	25 Jul →
mirage	9–13	0.02	11%	25 Jul →
mirage	13–11	-0.01	12%	25 Jul →
cache	13–3	-0.05	19%	25 Jul →
dust2	11–13	-0.04	17%	25 Jul →
anubis	13–16	-0.06	5%	25 Jul →
ancient	8–0	0.00	0%	25 Jul →
cache	9–13	-0.01	2%	25 Jul →
inferno	13–10	-0.06	10%	25 Jul →
cache	7–13	-0.08	19%	24 Jul →
dust2	13–7	0.01	20%	24 Jul →
ancient	6–13	0.00	4%	24 Jul →
cache	3–13	-0.03	12%	24 Jul →
dust2	5–13	-0.04	17%	24 Jul →
nuke	6–13	-0.05	12%	24 Jul →
mirage	13–5	0.01	16%	24 Jul →
mirage	13–7	0.03	4%	23 Jul →
nuke	13–11	-0.01	6%	23 Jul →
mirage	13–9	-0.09	23%	23 Jul →
cache	11–13	0.00	17%	23 Jul →
nuke	13–3	-0.01	13%	23 Jul →
inferno	4–13	-0.06	7%	22 Jul →
nuke	9–3	0.06	14%	22 Jul →
nuke	14–16	-0.09	12%	22 Jul →
mirage	3–13	-0.06	2%	22 Jul →
ancient	13–10	-0.04	8%	22 Jul →
mirage	13–8	-0.07	16%	22 Jul →
cache	13–6	-0.08	4%	22 Jul →
ancient	8–13	-0.03	8%	22 Jul →