rbfurious — CS2 Stats

US76561198211675604[U:1:251409876]Steam profile ↗✓ No bans

2,756Tracked matches70%Win rate2020Tracked since

12,870Hours in CS

CSDB Rating8.0 StrongEntry Fragger

Premier CS Rating23,277Top 50% of 819 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)

CSDB Leaderboard#4772 of 19632 tracked

FaceitLevel 10 · 3,194 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	57.4%	52.8%
Shot accuracy	18.7%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	51.7%	49.2%

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Performance scores

Aim88

Positioning71

Utility70

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWWWWLWLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.8

Aggression10.0

Utility7.0

Positioning7.1

Opening Duels6.4

Clutch3.6

Sharp aimerStrong 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 s1mple 95% playstyle similarity

Most alike: opening-fight frequency, 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 88 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8

Positioning7.1

Utility7.0

Mechanics7.0

Opening Duels6.4

Win Impact10.0

Composite 8.0/10 (Strong), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time531ms+4ms

first ⅓ avg 526ms → last ⅓ avg 531ms

Headshot accuracy20.8%−1.8%

first ⅓ avg 22.6% → last ⅓ avg 20.8%

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

0.17Best rating — mirage 13–6

13–1Biggest win — mirage

7Longest win streak

W4Current streak

9–15In matches decided by ≤2 rounds

17Overtime games

Map breakdown

mirageBest map · 62% over 42dust2Weakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	42	26–16	62%	0.03
ancient	A	15	9–6	60%	0.01
dust2	C	12	5–7	42%	0.04
anubis	A	11	6–5	55%	0.04
nuke	B	8	4–4	50%	0.02
inferno	A	5	3–2	60%	0.02
overpass	—	3	1–2	33%	0.01
vertigo	—	2	1–1	50%	-0.01
cache	—	1	1–0	100%	0.04
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

499,071Lifetime kills

1.13K/D · Top 50% of Level 10 players

11,371Matches

51.7%Match win rate · Top 50% of Level 10 players

57.4%Headshot % · Top 50% of Level 10 players

18.7%Shot accuracy · Top 10% of Level 10 players

37,596MVPs

12,870Hours (in match)

13,067Bombs planted

4,184Bombs defused

Most-used weapons

AK-47183,822

M4A4 / M4A1-S73,131

AWP65,582

Desert Eagle53,224

P2000 / USP-S39,952

P25014,014

Glock-1812,702

Knife8,577

SSG 086,341

SG 5535,546

Lifetime map wins

23,489dust2

19,703inferno

7,514train

5,007vertigo

4,445nuke

3,978cbble

24aztec

20militia

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

Faceit stats

Combat

8,170Matches

57%Win rate

1.28Avg K/D

90.0ADR

48%Headshot %

Clutches & streaks

38%1v1 clutch win

27%1v2 clutch win

17Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	527	58%	1.32	18.2
Ancient	341	52%	1.16	18.4
Anubis	238	52%	1.13	17.4
Dust2	191	55%	1.30	18.5
Vertigo	84	57%	1.11	18.8
Nuke	74	51%	1.28	17.9
Inferno	54	57%	1.26	19.4
Overpass	33	55%	1.06	16.8

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.

21.0%Headshot accuracy

39.7%Accuracy (enemy spotted)

42.7%Spray accuracy

81.4%Counter-strafing

9.1°Preaim

528msReaction time

43.4%T opening success

68.2%CT opening success

0.67Enemies flashed / flash

10.6%Flash assists

11.36HE damage / grenade

11.84Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	0.04	18%	28 Aug →
mirage	16–13	0.03	24%	10 Jul →
dust2	13–7	0.06	23%	3 Jul →
anubis	13–8	0.00	32%	25 Jun →
anubis	7–13	-0.02	24%	10 May →
mirage	13–1	0.17	27%	10 May →
ancient	9–13	0.01	24%	9 May →
inferno	13–3	0.00	14%	9 May →
dust2	7–13	0.02	18%	9 May →
mirage	16–14	0.01	19%	9 May →
mirage	10–13	-0.00	21%	22 Apr →
mirage	13–5	0.02	17%	21 Apr →
mirage	7–13	0.01	27%	21 Apr →
mirage	13–10	0.10	21%	6 Apr →
mirage	13–9	0.10	30%	4 Apr →
mirage	16–14	-0.03	33%	3 Apr →
ancient	13–6	0.08	23%	28 Mar →
ancient	8–13	-0.08	15%	28 Mar →
nuke	13–8	-0.02	15%	26 Mar →
mirage	16–14	0.03	19%	21 Mar →
mirage	13–10	0.07	13%	21 Mar →
nuke	13–6	0.02	10%	14 Mar →
ancient	11–13	0.06	21%	11 Mar →
anubis	5–13	0.03	13%	21 Feb →
dust2	13–11	0.07	26%	14 Feb →
mirage	13–7	0.10	26%	13 Feb →
ancient	16–13	0.02	11%	13 Feb →
mirage	9–13	0.01	15%	5 Feb →
ancient	13–9	0.01	24%	31 Jan →
ancient	13–5	0.05	26%	31 Jan →
mirage	10–13	0.03	21%	24 Jan →
ancient	13–11	-0.02	15%	24 Jan →
dust2	9–13	0.02	20%	23 Jan →
anubis	10–13	0.06	20%	20 Jan →
dust2	11–13	0.11	32%	18 Jan →
mirage	13–11	0.14	24%	17 Jan →
mirage	13–6	0.17	25%	17 Jan →
anubis	14–16	0.02	26%	17 Jan →
nuke	8–13	0.02	12%	16 Jan →
mirage	13–5	0.02	27%	16 Jan →
mirage	13–7	0.02	27%	16 Jan →
dust2	14–16	-0.00	16%	16 Jan →
mirage	9–13	-0.04	15%	15 Jan →
anubis	14–16	0.02	21%	13 Jan →
ancient	11–13	0.03	24%	10 Jan →
nuke	11–13	-0.04	33%	10 Jan →
ancient	13–9	0.08	26%	10 Jan →
inferno	9–13	0.00	23%	8 Jan →
nuke	6–13	0.00	20%	7 Jan →
mirage	13–8	0.00	16%	7 Jan →
overpass	13–7	0.15	29%	7 Jan →
nuke	13–10	0.11	22%	7 Jan →
dust2	13–4	0.15	31%	7 Jan →
overpass	7–13	0.02	21%	6 Jan →
dust2	9–13	0.02	16%	29 Dec →
nuke	13–11	0.05	24%	29 Dec →
dust2	11–13	0.03	28%	25 Dec →
mirage	22–20	0.07	17%	21 Dec →
inferno	13–9	0.02	28%	21 Dec →
dust2	13–7	-0.04	37%	20 Dec →
train	7–13	0.01	24%	16 Dec →
ancient	5–13	-0.01	22%	5 May →
anubis	13–10	0.03	21%	3 May →
ancient	9–13	-0.03	32%	3 May →
mirage	8–13	-0.03	16%	3 May →
dust2	16–13	0.03	12%	3 May →
mirage	13–11	0.04	30%	29 Apr →
mirage	10–13	0.04	12%	29 Apr →
dust2	17–19	0.05	20%	28 Apr →
mirage	11–13	0.04	28%	25 Apr →
mirage	8–13	0.01	19%	23 Apr →
mirage	13–9	0.05	15%	23 Apr →
overpass	5–13	-0.13	15%	21 Apr →
ancient	16–13	0.01	27%	21 Apr →
nuke	12–16	-0.01	27%	21 Apr →
mirage	9–13	-0.03	16%	21 Apr →
anubis	13–10	0.03	24%	20 Apr →
mirage	11–13	-0.00	22%	20 Apr →
mirage	13–10	-0.05	32%	20 Apr →
mirage	13–6	-0.01	64%	19 Apr →
mirage	11–13	0.03	18%	18 Apr →
mirage	13–5	0.01	20%	18 Apr →
anubis	13–1	0.13	17%	18 Apr →
mirage	9–13	-0.03	32%	17 Apr →
mirage	13–7	0.08	13%	17 Apr →
mirage	13–10	-0.03	28%	17 Apr →
ancient	13–8	-0.02	28%	17 Apr →
vertigo	16–12	0.01	26%	16 Apr →
mirage	13–8	-0.02	21%	16 Apr →
anubis	13–10	0.11	21%	14 Apr →
ancient	13–9	0.03	21%	14 Apr →
mirage	9–13	-0.03	18%	13 Apr →
mirage	14–16	-0.02	8%	13 Apr →
mirage	14–16	0.03	25%	13 Apr →
mirage	13–8	0.03	17%	12 Apr →
inferno	11–13	0.08	36%	12 Apr →
inferno	13–8	-0.01	15%	11 Apr →
mirage	19–15	0.11	30%	11 Apr →
vertigo	4–13	-0.04	17%	11 Apr →
anubis	13–10	0.02	14%	10 Apr →