Roach — CS2 Stats

76561198119008759[U:1:158743031]

701Tracked matches36%Win rate2021Tracked since

1,727Hours in CS9Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating18,534Purple band · top ~14.3% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	33.8%	44.1%	47.2%	13.4% short
Shot accuracy	16.0%	11.4%	12.7%	above
Kill/death ratio	1.05	1.03	1.09	0.04 short
Match win rate	38.6%	45.2%	46.6%	8.1% short

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

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim93

Positioning66

Utility37

0–100 skill scores via Leetify.

Recent form

COLD43–48–9Last 10043%Win rateLLWLWLLLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.3

Aggression10.0

Utility3.7

Positioning6.6

Opening Duels5.8

Clutch0.0

Sharp aimerLimited utility dependence

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 sh1ro 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3

Positioning6.6

Utility3.7

Mechanics7.6

Opening Duels5.8

Win Impact0.2

Composite 6.4/10 (Solid), 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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time545ms−75ms

first ⅓ avg 620ms → last ⅓ avg 545ms

Headshot accuracy25.5%−4.9%

first ⅓ avg 30.4% → last ⅓ avg 25.5%

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

0.22Best rating — inferno 13–8

13–3Biggest win — cache

5Longest win streak

L2Current streak

2–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 54% over 13infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	42	22–20	52%	0.02
dust2	B	13	7–6	54%	0.05
mirage	C	10	4–6	40%	0.03
nuke	D	9	2–7	22%	0.02
ancient	D	7	2–5	29%	0.00
anubis	D	6	2–4	33%	0.06
inferno	D	6	1–5	17%	0.03
vertigo	—	2	1–1	50%	-0.01
debris	—	2	1–1	50%	0.07
overpass	—	2	0–2	0%	0.03
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,056Lifetime kills

1.05K/D · Top 50% of Purple band

2,708Matches

38.6%Match win rate

33.8%Headshot %

16.0%Shot accuracy · Top 25% of Purple band

4,805MVPs

1,130Hours (in match)

2,083Bombs planted

568Bombs defused

Most-used weapons

AWP18,225

SSG 085,410

AK-474,647

M4A4 / M4A1-S4,078

Desert Eagle3,353

P2000 / USP-S2,586

Glock-181,606

P90898

Tec-9563

FAMAS537

Lifetime map wins

5,989dust2

3,607inferno

902nuke

306cbble

244vertigo

233train

118bank

110lake

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

Faceit stats

Combat

5Matches

20%Win rate

0.81Avg K/D

86.6ADR

46%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

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.

25.4%Headshot accuracy

42.2%Accuracy (enemy spotted)

33.1%Spray accuracy

84.0%Counter-strafing

6.7°Preaim

543msReaction time

47.5%T opening success

59.3%CT opening success

0.53Enemies flashed / flash

4.8%Flash assists

8.88HE damage / grenade

4.86Flashes / match

Recommended for you

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.

17% win rate across 6 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
nuke	4–13	0.11	33%	24 Aug →
ancient	3–13	-0.01	10%	24 Aug →
dust2	13–10	0.08	28%	24 Aug →
dust2	7–13	-0.03	30%	23 Aug →
anubis	13–6	0.14	15%	23 Aug →
ancient	7–13	-0.08	18%	19 Aug →
cache	4–13	-0.04	36%	18 Aug →
mirage	1–13	0.05	23%	18 Aug →
dust2	11–13	-0.01	33%	18 Aug →
ancient	3–13	-0.01	35%	18 Aug →
nuke	15–15	-0.01	30%	18 Aug →
mirage	7–13	0.13	28%	15 Aug →
vertigo	13–8	0.01	20%	15 Aug →
anubis	4–13	0.10	40%	13 Aug →
inferno	7–13	0.00	27%	13 Aug →
dust2	6–13	0.05	19%	13 Aug →
dust2	13–5	0.12	33%	12 Aug →
cache	13–3	0.10	43%	12 Aug →
dust2	5–13	-0.06	10%	11 Aug →
nuke	11–13	0.03	16%	11 Aug →
nuke	10–13	-0.06	36%	11 Aug →
mirage	13–6	0.06	14%	10 Aug →
cache	13–9	0.01	40%	10 Aug →
dust2	13–7	0.15	27%	10 Aug →
cache	6–13	0.01	38%	10 Aug →
dust2	15–15	0.00	17%	8 Aug →
cache	8–13	-0.04	7%	6 Aug →
mirage	13–9	0.04	32%	28 Jul →
anubis	10–13	0.02	10%	28 Jul →
dust2	13–10	0.15	22%	24 Jul →
mirage	0–13	-0.04	26%	23 Jul →
cache	13–3	0.04	29%	23 Jul →
nuke	8–13	-0.07	18%	23 Jul →
cache	9–13	0.04	13%	22 Jul →
cache	13–6	0.02	16%	16 Jul →
mirage	6–13	0.04	35%	16 Jul →
mirage	10–13	-0.04	20%	16 Jul →
ancient	13–10	0.02	28%	16 Jul →
nuke	8–13	0.05	25%	15 Jul →
debris	8–8	-0.02	28%	15 Jul →
ancient	11–13	0.07	29%	14 Jul →
debris	9–5	0.15	18%	14 Jul →
cache	13–10	0.03	30%	9 Jul →
cache	16–13	0.06	21%	9 Jul →
cache	5–13	0.04	44%	8 Jul →
inferno	1–13	-0.08	11%	6 Jul →
cache	13–11	0.04	33%	6 Jul →
dust2	10–3	-0.01	11%	6 Jul →
cache	2–13	-0.01	40%	6 Jul →
dust2	13–11	-0.00	25%	4 Jul →
mirage	13–9	0.08	31%	4 Jul →
anubis	11–13	0.00	20%	4 Jul →
inferno	14–16	-0.01	35%	3 Jul →
anubis	13–8	0.03	24%	1 Jul →
inferno	13–8	0.22	29%	29 Jun →
dust2	13–6	0.09	25%	20 Jun →
ancient	13–7	-0.02	27%	20 Jun →
vertigo	6–13	-0.03	36%	8 Jun →
cache	12–12	-0.03	12%	5 Jun →
inferno	7–13	0.09	23%	5 Jun →
overpass	4–13	-0.01	13%	2 Jun →
inferno	4–13	-0.03	19%	27 May →
nuke	13–6	0.08	35%	26 May →
nuke	3–0	0.00	0%	26 May →
mirage	16–13	0.01	38%	24 May →
nuke	10–13	0.06	47%	23 May →
train	13–8	0.10	50%	22 May →
dust2	6–13	0.08	25%	22 May →
cache	13–4	0.06	48%	21 May →
cache	13–5	0.07	33%	18 May →
ancient	11–13	0.05	29%	17 May →
cache	12–12	0.11	30%	16 May →
cache	12–12	-0.04	41%	16 May →
cache	13–10	0.01	21%	15 May →
cache	12–12	0.04	38%	14 May →
cache	7–13	-0.06	17%	14 May →
cache	13–3	0.10	45%	14 May →
cache	11–13	-0.01	28%	14 May →
cache	5–13	-0.04	24%	12 May →
cache	11–13	-0.03	20%	12 May →
overpass	8–13	0.06	38%	12 May →
mirage	6–13	-0.03	21%	12 May →
cache	13–10	0.00	57%	12 May →
cache	10–4	0.03	36%	11 May →
anubis	10–13	0.08	19%	11 May →
cache	12–12	-0.01	33%	10 May →
cache	13–8	0.12	33%	10 May →
cache	12–12	0.09	39%	7 May →
cache	13–6	0.19	28%	7 May →
cache	13–8	-0.01	25%	6 May →
cache	10–13	0.01	9%	3 May →
cache	13–5	0.05	35%	3 May →
cache	5–13	0.05	15%	30 Apr →
cache	13–9	-0.03	19%	30 Apr →
cache	13–10	0.06	28%	30 Apr →
cache	13–6	-0.00	53%	30 Apr →
cache	13–5	0.13	27%	29 Apr →
cache	13–3	-0.03	30%	29 Apr →
cache	6–13	-0.03	24%	29 Apr →
cache	6–13	-0.03	33%	29 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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