RNG — CS2 Stats

US76561198449913519[U:1:489647791]Steam profile ↗✓ No bans

3,046Tracked matches52%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating23,806Top 50% of 819 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#2933 of 12774 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning51

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLLWWLWWWW

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

Player DNA

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

Aim8.1

Aggression6.1

Utility5.3

Positioning5.1

Opening Duels2.5

Clutch5.0

Excellent counter-strafingStrong 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 92% playstyle similarity

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

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

Areas to improve

T-side openings. Opening success drops from 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim8.1

Positioning5.1

Utility5.3

Mechanics8.9

Opening Duels3.0

Win Impact5.6

Composite 6.6/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time528ms−53ms

first ⅓ avg 581ms → last ⅓ avg 528ms

Headshot accuracy13.9%−1.6%

first ⅓ avg 15.5% → last ⅓ avg 13.9%

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

0.20Best rating — inferno 13–3

13–0Biggest win — dust2

7Longest win streak

L3Current streak

11–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 69% over 13anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	13–7	65%	0.01
nuke	A	18	10–8	56%	0.01
inferno	A	14	9–5	64%	0.01
ancient	S	13	9–4	69%	0.02
cache	B	12	6–6	50%	-0.00
mirage	C	11	4–7	36%	-0.02
anubis	D	8	2–6	25%	0.02
overpass	—	4	1–3	25%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

337Matches

58%Win rate

1.30Avg K/D

82.2ADR

36%Headshot %

Clutches & streaks

45%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	59%	1.18	15.9
Inferno	59	56%	1.44	17.1
Ancient	55	56%	1.40	15.8
Dust2	53	53%	1.05	16.1
Nuke	29	62%	1.30	16.1
Anubis	24	67%	1.31	16.2
Overpass	13	46%	1.63	17.5
Vertigo	10	80%	1.73	19.0

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.

15.1%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.1%Spray accuracy

90.0%Counter-strafing

9.7°Preaim

564msReaction time

26.4%T opening success

53.9%CT opening success

0.54Enemies flashed / flash

8.4%Flash assists

8.92HE damage / grenade

10.14Flashes / 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 26.4127% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	0.02	21%	19 Jul →
nuke	6–13	-0.02	12%	19 Jul →
nuke	8–13	-0.03	23%	19 Jul →
ancient	13–4	0.00	27%	19 Jul →
mirage	13–6	0.02	22%	18 Jul →
cache	11–13	-0.04	10%	18 Jul →
dust2	13–0	-0.01	0%	17 Jul →
inferno	2–0	0.00	0%	17 Jul →
dust2	13–0	-0.01	0%	17 Jul →
dust2	13–3	-0.13	13%	17 Jul →
inferno	13–0	0.00	0%	17 Jul →
dust2	13–1	0.01	14%	17 Jul →
cache	13–0	0.01	9%	17 Jul →
cache	9–13	-0.07	18%	17 Jul →
nuke	13–11	0.02	22%	17 Jul →
cache	14–16	0.06	9%	17 Jul →
dust2	6–13	-0.10	12%	17 Jul →
dust2	13–16	0.02	7%	17 Jul →
ancient	1–13	-0.03	16%	17 Jul →
dust2	13–8	0.05	16%	17 Jul →
inferno	13–5	-0.03	23%	16 Jul →
inferno	0–13	-0.04	0%	16 Jul →
nuke	13–6	-0.02	27%	16 Jul →
cache	13–11	-0.00	11%	16 Jul →
anubis	13–16	0.02	19%	16 Jul →
inferno	8–13	-0.06	9%	16 Jul →
inferno	15–15	-0.00	22%	16 Jul →
dust2	13–3	0.08	18%	16 Jul →
mirage	9–13	-0.03	21%	16 Jul →
mirage	3–13	-0.10	17%	16 Jul →
dust2	13–9	0.02	22%	15 Jul →
inferno	13–11	0.06	7%	15 Jul →
cache	13–8	-0.01	13%	15 Jul →
mirage	13–2	-0.06	4%	15 Jul →
cache	6–13	-0.06	9%	14 Jul →
nuke	13–9	0.02	20%	14 Jul →
nuke	13–11	-0.03	20%	14 Jul →
dust2	13–11	0.04	13%	14 Jul →
ancient	2–13	0.02	14%	14 Jul →
mirage	13–7	0.08	8%	14 Jul →
dust2	11–13	0.07	16%	14 Jul →
ancient	3–13	0.00	23%	14 Jul →
dust2	16–14	0.02	12%	14 Jul →
dust2	13–11	0.04	14%	13 Jul →
inferno	7–13	-0.08	14%	13 Jul →
nuke	13–9	0.07	28%	13 Jul →
nuke	13–5	0.07	32%	13 Jul →
cache	9–13	-0.01	19%	13 Jul →
ancient	13–6	0.06	8%	11 Jul →
anubis	10–13	0.01	8%	11 Jul →
mirage	8–13	-0.05	15%	11 Jul →
anubis	7–13	0.05	25%	11 Jul →
mirage	4–13	-0.07	10%	11 Jul →
cache	11–13	-0.01	14%	11 Jul →
cache	13–11	-0.01	19%	11 Jul →
cache	13–8	0.02	20%	11 Jul →
anubis	13–2	0.02	33%	11 Jul →
nuke	13–6	0.06	19%	11 Jul →
inferno	13–3	-0.01	5%	11 Jul →
anubis	11–13	-0.00	10%	11 Jul →
mirage	8–13	0.02	11%	10 Jul →
ancient	13–6	-0.00	13%	10 Jul →
mirage	16–13	0.07	16%	10 Jul →
dust2	5–13	-0.06	8%	10 Jul →
nuke	7–13	-0.01	15%	10 Jul →
cache	13–8	0.09	18%	10 Jul →
nuke	11–13	0.01	7%	10 Jul →
ancient	13–8	-0.00	12%	10 Jul →
inferno	13–3	0.20	23%	5 Jul →
overpass	4–13	-0.02	9%	5 Jul →
nuke	5–13	-0.04	12%	5 Jul →
ancient	13–4	0.06	14%	4 Jul →
nuke	13–7	0.03	13%	1 Jul →
inferno	2–13	-0.01	22%	1 Jul →
nuke	13–6	0.03	20%	28 Jun →
overpass	2–13	-0.03	17%	28 Jun →
dust2	5–13	0.01	20%	27 Jun →
inferno	9–1	0.07	24%	27 Jun →
nuke	13–10	0.04	11%	26 Jun →
ancient	10–13	0.01	7%	26 Jun →
ancient	13–11	0.04	11%	26 Jun →
mirage	7–13	0.02	8%	26 Jun →
nuke	15–15	-0.03	7%	26 Jun →
anubis	16–13	0.02	16%	26 Jun →
nuke	11–13	0.04	11%	26 Jun →
inferno	13–7	0.06	9%	26 Jun →
dust2	13–8	-0.01	17%	25 Jun →
ancient	13–7	0.05	13%	24 Jun →
overpass	8–13	0.01	15%	24 Jun →
ancient	13–6	0.05	16%	24 Jun →
inferno	13–6	0.01	19%	24 Jun →
overpass	13–4	0.04	23%	24 Jun →
dust2	16–14	0.04	19%	24 Jun →
anubis	9–13	-0.00	21%	24 Jun →
dust2	6–13	-0.00	23%	24 Jun →
mirage	3–13	-0.07	20%	24 Jun →
dust2	13–9	0.03	13%	23 Jun →
nuke	6–13	0.05	16%	23 Jun →
anubis	9–13	0.03	14%	23 Jun →
ancient	13–6	-0.01	22%	23 Jun →