RoushJr — CS2 Stats

US76561198323501402[U:1:363235674]Steam profile ↗✓ No bans

522Tracked matches48%Win rate2020Tracked since

1,757Hours in CS2Hrs last 2 wks

CSDB Rating3.9 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning34

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLLWLLLLWWW

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Aim4.6

Aggression4.1

Utility2.6

Positioning3.4

Opening Duels0.4

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 73% playstyle similarity

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

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

Reaction time. 701ms 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

Aim4.6

Positioning3.4

Utility2.6

Mechanics6.2

Opening Duels1.0

Win Impact4.4

Composite 3.9/10 (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-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time704ms−14ms

first ⅓ avg 718ms → last ⅓ avg 704ms

Headshot accuracy13.3%+0.3%

first ⅓ avg 13.0% → last ⅓ avg 13.3%

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

0.13Best rating — mirage 13–6

13–2Biggest win — anubis

8Longest win streak

L2Current streak

8–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 79% over 14infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	28	8–20	29%	-0.05
nuke	B	17	9–8	53%	-0.03
mirage	S	14	11–3	79%	-0.00
office	C	9	4–5	44%	-0.04
train	S	6	4–2	67%	-0.03
inferno	D	5	1–4	20%	-0.05
anubis	A	5	3–2	60%	-0.00
overpass	C	5	2–3	40%	-0.05
cache	—	4	3–1	75%	-0.02
grail	—	4	2–2	50%	-0.03
vertigo	—	2	2–0	100%	-0.04
ancient	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,375Lifetime kills

0.96K/D

2,945Matches

41.6%Match win rate

35.2%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

3,519MVPs

1,086Hours (in match)

1,282Bombs planted

560Bombs defused

Most-used weapons

AK-4713,402

AWP7,851

M4A4 / M4A1-S6,761

P2000 / USP-S2,985

Desert Eagle2,612

AUG2,281

SG 5531,792

SSG 081,516

Negev1,483

Glock-181,310

Lifetime map wins

3,251inferno

2,216dust2

1,327nuke

933vertigo

880train

260office

183cbble

169lake

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

Faceit stats

Combat

177Matches

44%Win rate

0.70Avg K/D

50.5ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.43	6.0
Dust2	1	0%	0.48	11.0

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.

13.6%Headshot accuracy

30.8%Accuracy (enemy spotted)

33.0%Spray accuracy

77.7%Counter-strafing

8.6°Preaim

701msReaction time

25.4%T opening success

37.7%CT opening success

0.51Enemies flashed / flash

4.0%Flash assists

4.04HE damage / grenade

2.49Flashes / 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 13.6374% — 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 701.0114ms — above the 700ms 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 2.4869 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.09	6%	17 Aug →
nuke	9–13	-0.11	3%	17 Aug →
nuke	13–7	-0.06	8%	17 Aug →
dust2	8–13	-0.06	20%	10 Aug →
nuke	0–13	-0.08	0%	10 Aug →
nuke	8–13	-0.03	10%	21 Jul →
inferno	8–13	-0.07	20%	21 Jul →
mirage	13–11	-0.03	7%	26 May →
office	13–4	-0.02	34%	26 May →
office	13–4	0.04	20%	26 May →
mirage	13–4	0.01	15%	26 May →
dust2	8–13	-0.03	15%	26 May →
dust2	6–13	-0.01	13%	26 May →
mirage	13–6	0.13	8%	25 May →
mirage	13–5	-0.03	7%	25 May →
nuke	13–5	0.04	10%	25 May →
anubis	13–6	-0.00	6%	16 May →
dust2	13–10	-0.03	18%	16 May →
cache	13–7	0.01	18%	1 May →
cache	13–6	-0.03	20%	1 May →
cache	13–9	0.02	37%	30 Apr →
office	2–13	-0.11	6%	19 Mar →
office	13–11	-0.00	17%	19 Mar →
anubis	10–13	-0.04	17%	25 Jan →
dust2	15–15	-0.04	10%	25 Jan →
anubis	7–13	-0.06	5%	25 Jan →
office	10–13	-0.01	25%	25 Jan →
office	8–13	-0.03	6%	25 Jan →
office	9–13	-0.07	10%	25 Jan →
dust2	10–13	-0.05	13%	18 Jan →
dust2	11–13	-0.04	11%	18 Jan →
office	10–13	-0.07	20%	18 Jan →
nuke	8–13	-0.07	4%	18 Jan →
mirage	13–7	-0.03	15%	28 Dec →
nuke	12–12	-0.02	9%	28 Dec →
dust2	7–13	-0.05	11%	28 Dec →
dust2	13–11	-0.05	12%	28 Dec →
train	13–6	-0.06	24%	21 Dec →
dust2	12–12	-0.07	16%	21 Dec →
nuke	9–13	-0.06	10%	21 Dec →
train	12–12	-0.02	13%	21 Dec →
dust2	12–12	-0.05	23%	21 Dec →
office	13–10	-0.05	22%	21 Dec →
anubis	13–2	0.01	14%	20 Dec →
vertigo	13–8	-0.06	18%	20 Dec →
vertigo	13–2	-0.02	10%	20 Dec →
dust2	8–13	-0.11	31%	20 Dec →
nuke	11–13	0.01	16%	20 Dec →
dust2	9–13	-0.04	9%	14 Dec →
dust2	10–13	-0.04	20%	14 Dec →
dust2	8–13	-0.05	18%	13 Dec →
dust2	13–8	-0.06	14%	13 Dec →
mirage	13–4	0.07	15%	13 Dec →
mirage	7–13	-0.08	6%	13 Dec →
dust2	11–13	-0.07	11%	13 Dec →
nuke	9–13	0.02	9%	13 Dec →
inferno	13–11	-0.01	14%	10 Dec →
mirage	13–9	-0.00	15%	10 Dec →
dust2	15–15	0.01	19%	10 Dec →
mirage	7–13	0.06	18%	10 Dec →
dust2	6–13	-0.05	13%	10 Dec →
nuke	13–9	-0.06	2%	7 Dec →
dust2	13–11	-0.06	11%	7 Dec →
dust2	13–8	-0.01	11%	7 Dec →
train	7–13	-0.01	12%	7 Dec →
dust2	13–4	-0.00	18%	7 Dec →
overpass	11–13	-0.06	15%	7 Dec →
mirage	13–10	0.01	13%	7 Dec →
inferno	10–13	-0.06	4%	7 Dec →
ancient	8–13	-0.02	13%	7 Dec →
mirage	13–7	-0.04	9%	6 Sept →
overpass	12–16	-0.02	17%	6 Sept →
grail	8–13	-0.09	24%	31 Aug →
grail	13–10	0.02	11%	31 Aug →
grail	13–11	-0.04	10%	31 Aug →
nuke	13–9	-0.03	19%	18 Aug →
train	13–6	-0.04	14%	18 Aug →
nuke	13–9	-0.05	10%	17 Aug →
dust2	13–9	-0.05	11%	17 Aug →
overpass	13–10	-0.03	5%	16 Aug →
dust2	15–15	-0.06	15%	31 Jul →
nuke	13–9	-0.03	10%	31 Jul →
dust2	13–5	-0.01	17%	31 Jul →
mirage	13–10	0.07	20%	30 Jul →
dust2	4–13	-0.05	11%	30 Jul →
overpass	13–11	-0.06	11%	30 Jul →
mirage	13–8	-0.07	21%	29 Jul →
train	13–11	-0.02	17%	29 Jul →
nuke	13–5	-0.01	0%	29 Jul →
nuke	13–10	0.03	10%	25 Jul →
nuke	13–5	-0.00	5%	25 Jul →
anubis	13–6	0.06	11%	25 Jul →
inferno	5–13	-0.07	9%	25 Jul →
dust2	4–13	-0.09	10%	25 Jul →
dust2	9–13	-0.07	13%	25 Jul →
mirage	10–13	-0.07	17%	6 Jul →
train	13–10	0.01	14%	6 Jul →
grail	4–13	-0.01	19%	6 Jul →
inferno	12–12	-0.02	20%	6 Jul →
overpass	0–2	-0.06	22%	6 Jul →