РУСЛАНЧІК — CS2 Stats

76561198039058135[U:1:78792407]✓ No bans

1,897Tracked matches57%Win rate2020Tracked since

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating23,147Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

FaceitLevel 9 · 1,845 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim65

Positioning56

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWWWWWLLLTL

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

Player DNA

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

Aim6.5

Aggression7.7

Utility7.1

Positioning5.6

Opening Duels3.2

Clutch6.0

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher 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

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim6.5

Positioning5.6

Utility7.1

Mechanics7.1

Opening Duels3.2

Win Impact7.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time622ms+3ms

first ⅓ avg 619ms → last ⅓ avg 622ms

Headshot accuracy18.1%+0.4%

first ⅓ avg 17.7% → last ⅓ avg 18.1%

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

0.16Best rating — dust2 13–1

13–1Biggest win — dust2

6Longest win streak

W5Current streak

13–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 63% over 8overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	33	17–16	52%	0.02
ancient	A	23	14–9	61%	0.02
dust2	B	15	7–8	47%	0.00
anubis	B	13	6–7	46%	0.02
mirage	A	8	5–3	63%	0.03
overpass	C	5	2–3	40%	0.05
nuke	—	3	1–2	33%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,157Matches

51%Win rate

1.13Avg K/D

90.5ADR

41%Headshot %

Clutches & streaks

50%1v1 clutch win

38%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	40	60%	1.26	17.7
Ancient	39	46%	1.27	17.3
Anubis	34	41%	1.23	19.1
Dust2	11	64%	1.50	18.3
Mirage	8	12%	0.75	13.3
Vertigo	7	57%	1.03	17.1
Nuke	7	57%	1.00	13.6
Overpass	6	50%	1.43	21.0

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.

17.5%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.0%Spray accuracy

81.7%Counter-strafing

9.7°Preaim

614msReaction time

33.5%T opening success

52.5%CT opening success

0.68Enemies flashed / flash

14.7%Flash assists

9.97HE damage / grenade

9.51Flashes / 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
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 33.4663% — below the 40% mark we flag

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.03	12%	28 Aug →
ancient	13–6	0.04	13%	28 Aug →
anubis	13–9	0.05	17%	24 Aug →
inferno	13–2	0.11	24%	24 Aug →
inferno	13–8	0.03	16%	24 Aug →
dust2	3–13	0.05	23%	23 Jul →
ancient	3–13	-0.06	18%	23 Jul →
inferno	1–13	-0.05	18%	23 Jul →
anubis	15–15	0.01	15%	23 Jul →
inferno	3–13	-0.05	22%	23 Jul →
dust2	13–1	0.06	21%	23 Jul →
dust2	13–7	-0.02	32%	23 Jul →
inferno	13–9	-0.01	6%	22 Jul →
dust2	13–1	0.16	17%	21 Jul →
inferno	7–13	-0.00	26%	21 Jul →
ancient	13–7	0.08	15%	21 Jul →
anubis	13–9	-0.01	12%	21 Jul →
inferno	9–13	0.02	15%	11 Jul →
inferno	13–16	-0.02	15%	11 Jul →
anubis	11–13	0.03	16%	29 Jun →
ancient	13–10	0.05	21%	25 Jun →
anubis	6–13	0.04	11%	25 Jun →
ancient	9–13	-0.02	22%	25 Jun →
dust2	9–13	-0.03	18%	25 Jun →
ancient	13–10	0.06	18%	24 Jun →
mirage	11–13	0.01	24%	24 Jun →
inferno	13–11	0.02	14%	18 Jun →
overpass	13–7	0.11	16%	18 Jun →
inferno	15–15	0.01	19%	18 Jun →
mirage	13–8	-0.01	16%	15 Jun →
ancient	13–11	0.02	16%	5 Jun →
dust2	9–13	0.04	19%	1 Jun →
inferno	6–13	0.02	30%	1 Jun →
inferno	13–7	0.07	23%	1 Jun →
ancient	13–11	0.05	15%	31 May →
anubis	2–13	0.02	13%	31 May →
ancient	9–13	0.05	8%	31 May →
inferno	8–13	-0.00	22%	31 May →
inferno	5–13	0.02	24%	31 May →
dust2	13–10	0.03	29%	31 May →
mirage	13–11	0.09	21%	31 May →
inferno	15–15	0.02	26%	29 May →
mirage	10–13	0.01	15%	29 May →
inferno	13–7	0.04	19%	25 May →
inferno	13–10	0.02	7%	23 May →
dust2	13–11	-0.01	19%	13 May →
nuke	13–16	0.02	13%	13 May →
overpass	6–13	-0.05	14%	13 May →
overpass	13–11	0.01	17%	6 May →
inferno	6–13	-0.07	18%	30 Apr →
inferno	13–10	-0.01	17%	25 Apr →
ancient	13–8	0.01	12%	24 Apr →
ancient	13–9	0.02	7%	22 Apr →
ancient	13–11	0.07	11%	10 Apr →
ancient	9–13	0.01	18%	10 Apr →
ancient	13–10	-0.01	27%	10 Apr →
anubis	13–11	-0.03	12%	8 Apr →
anubis	10–13	-0.02	19%	6 Apr →
inferno	16–14	0.04	21%	6 Apr →
inferno	13–5	0.03	14%	6 Apr →
inferno	13–10	-0.02	12%	31 Mar →
dust2	13–9	0.04	18%	31 Mar →
anubis	13–9	0.03	17%	31 Mar →
ancient	13–7	0.03	15%	31 Mar →
ancient	6–13	-0.04	6%	31 Mar →
dust2	5–13	-0.04	23%	31 Mar →
inferno	13–10	0.15	21%	18 Mar →
ancient	13–11	0.03	11%	18 Mar →
inferno	13–5	0.03	21%	16 Mar →
ancient	13–10	0.02	17%	16 Mar →
anubis	13–16	0.06	12%	15 Mar →
inferno	15–15	0.02	18%	10 Mar →
ancient	9–13	-0.03	6%	10 Mar →
inferno	13–5	0.01	19%	10 Mar →
inferno	13–9	0.09	34%	9 Mar →
mirage	13–11	0.05	18%	9 Mar →
overpass	10–13	0.10	14%	9 Mar →
ancient	11–13	0.08	24%	9 Mar →
anubis	13–1	0.06	24%	9 Mar →
inferno	13–5	0.12	16%	9 Mar →
anubis	4–13	-0.03	15%	5 Mar →
inferno	7–13	0.01	25%	5 Mar →
dust2	7–13	-0.04	7%	5 Mar →
dust2	7–13	-0.07	22%	5 Mar →
mirage	10–13	0.02	11%	5 Mar →
nuke	13–6	0.12	18%	5 Mar →
nuke	10–13	0.01	18%	2 Mar →
inferno	4–13	0.03	17%	1 Mar →
anubis	13–11	0.07	16%	1 Mar →
ancient	13–8	0.10	25%	28 Feb →
inferno	13–7	0.05	18%	28 Feb →
overpass	15–15	0.07	12%	28 Feb →
dust2	13–11	0.02	16%	28 Feb →
inferno	9–13	0.05	27%	28 Feb →
dust2	11–13	-0.05	14%	28 Feb →
mirage	13–2	0.02	25%	28 Feb →
inferno	11–13	-0.00	25%	28 Feb →
ancient	4–13	-0.08	11%	28 Feb →
ancient	4–13	-0.00	16%	28 Feb →
dust2	2–13	-0.10	9%	28 Feb →