꧁༒☬RUBY☬༒꧂ — CS2 Stats

76561198881518478[U:1:921252750]Steam profile ↗✓ No bans

706Tracked matches68%Win rate2020Tracked since

1,437Hours in CS69Hrs last 2 wks

CSDB Rating4.8 DevelopingPassive Rifler

Premier CS Rating23,746Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#4649 of 21876 tracked

FaceitLevel 8 · 1,538 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning38

Utility21

0–100 skill scores via Leetify.

Recent form

HOT62–32–6Last 10062%Win rateWWLLWWWWWW

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

Player DNA

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

Aim6.1

Aggression3.7

Utility2.1

Positioning3.8

Opening Duels0.7

Clutch4.4

Strong CT-side openerLimited 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 NiKo 76% playstyle similarity

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

Where you differ: lower aim profile; 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

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

T-side openings. Opening success drops from 44% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.1

Positioning3.8

Utility2.1

Mechanics4.3

Opening Duels1.8

Win Impact10.0

Composite 4.8/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time611ms+15ms

first ⅓ avg 596ms → last ⅓ avg 611ms

Headshot accuracy18.2%+1.6%

first ⅓ avg 16.6% → last ⅓ avg 18.2%

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 — dust2 13–0

13–0Biggest win — dust2

9Longest win streak

W2Current streak

3–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 80% over 10mirageWeakest map · 53% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	45	26–19	58%	0.02
mirage	B	19	10–9	53%	0.01
cache	S	16	11–5	69%	0.02
inferno	S	10	8–2	80%	0.03
ancient	S	6	4–2	67%	0.02
anubis	—	2	1–1	50%	0.01
nuke	—	1	1–0	100%	-0.05
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,514Lifetime kills

1.10K/D · Top 50% of Pink band

1,021Matches

55.7%Match win rate · Top 5% of Pink band

44.5%Headshot %

11.1%Shot accuracy

2,603MVPs

585Hours (in match)

1,295Bombs planted

272Bombs defused

Most-used weapons

AK-478,927

M4A4 / M4A1-S5,569

AWP2,170

AUG1,473

P2000 / USP-S1,212

Desert Eagle905

Glock-18849

Galil AR433

P250354

Knife342

Lifetime map wins

3,755dust2

1,910inferno

468train

270nuke

109vertigo

13office

9sugarcane

4bank

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

Faceit stats

Combat

206Matches

57%Win rate

1.64Avg K/D

77.6ADR

38%Headshot %

Clutches & streaks

42%1v1 clutch win

15%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	38%	1.02	14.1
Mirage	7	43%	1.17	17.1
Ancient	3	33%	0.86	16.7
Inferno	3	67%	0.80	11.7
Anubis	1	100%	1.09	12.0
Nuke	1	0%	0.93	14.0

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.

17.9%Headshot accuracy

35.9%Accuracy (enemy spotted)

37.5%Spray accuracy

69.5%Counter-strafing

10.2°Preaim

610msReaction time

21.2%T opening success

44.3%CT opening success

0.31Enemies flashed / flash

1.6%Flash assists

7.86HE damage / grenade

2.17Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3142 — below the 0.5 mark we flag
Grenade Lineups →
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 21.2116% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	-0.02	16%	22 Aug →
inferno	13–11	0.03	31%	22 Aug →
dust2	7–13	-0.00	20%	22 Aug →
inferno	11–13	0.01	22%	22 Aug →
cache	13–10	0.04	12%	22 Aug →
ancient	8–0	0.08	5%	21 Aug →
dust2	13–8	0.00	21%	21 Aug →
cache	13–5	-0.02	24%	21 Aug →
dust2	13–10	-0.03	16%	21 Aug →
mirage	13–3	0.01	26%	21 Aug →
cache	13–6	-0.01	17%	21 Aug →
dust2	13–4	0.06	7%	21 Aug →
cache	13–8	0.00	17%	19 Aug →
dust2	7–13	-0.05	9%	19 Aug →
inferno	13–5	0.03	13%	16 Aug →
dust2	13–4	0.02	19%	16 Aug →
dust2	13–3	-0.01	8%	16 Aug →
dust2	13–5	0.05	31%	16 Aug →
inferno	6–0	0.06	29%	16 Aug →
dust2	9–13	0.06	16%	16 Aug →
cache	5–13	-0.00	15%	15 Aug →
mirage	9–13	-0.02	13%	13 Aug →
mirage	15–15	0.00	23%	8 Aug →
inferno	8–13	-0.03	19%	8 Aug →
cache	11–13	0.00	22%	4 Aug →
inferno	13–5	0.06	18%	4 Aug →
mirage	13–8	-0.02	14%	3 Aug →
dust2	7–13	-0.09	31%	3 Aug →
dust2	15–15	-0.01	8%	22 Jul →
mirage	13–3	0.11	18%	22 Jul →
dust2	13–4	0.04	23%	22 Jul →
dust2	5–13	-0.01	28%	21 Jul →
cache	6–13	-0.02	13%	21 Jul →
dust2	13–5	0.01	20%	21 Jul →
dust2	13–9	0.00	17%	19 Jul →
mirage	2–8	-0.02	25%	19 Jul →
dust2	2–13	-0.01	10%	17 Jul →
dust2	13–0	0.13	16%	17 Jul →
ancient	11–13	-0.03	11%	6 Jul →
inferno	13–10	-0.02	16%	6 Jul →
dust2	5–13	-0.02	21%	6 Jul →
mirage	8–13	0.02	20%	6 Jul →
mirage	13–5	-0.02	12%	5 Jul →
dust2	13–10	0.08	21%	5 Jul →
dust2	13–4	0.03	9%	5 Jul →
mirage	13–10	0.04	14%	5 Jul →
dust2	12–12	0.03	8%	5 Jul →
inferno	13–2	0.05	10%	5 Jul →
dust2	13–8	0.06	17%	5 Jul →
dust2	13–4	0.11	26%	5 Jul →
dust2	13–3	0.07	19%	4 Jul →
mirage	1–4	0.08	21%	4 Jul →
mirage	11–13	0.01	18%	4 Jul →
cache	13–4	0.02	24%	4 Jul →
mirage	13–7	-0.04	18%	4 Jul →
cache	9–13	0.04	22%	4 Jul →
cache	13–7	0.09	12%	4 Jul →
mirage	13–6	-0.01	9%	4 Jul →
dust2	13–10	0.10	22%	4 Jul →
dust2	10–13	0.01	15%	4 Jul →
dust2	0–4	-0.09	17%	1 Jul →
dust2	6–13	-0.03	18%	1 Jul →
inferno	13–7	0.03	15%	1 Jul →
dust2	8–13	-0.02	16%	1 Jul →
dust2	13–7	-0.02	10%	1 Jul →
nuke	13–7	-0.05	6%	30 Jun →
mirage	13–6	0.02	14%	26 Jun →
dust2	6–13	-0.01	29%	26 Jun →
dust2	13–3	0.06	20%	26 Jun →
cache	13–2	0.07	13%	26 Jun →
mirage	4–13	-0.04	30%	26 Jun →
ancient	13–7	-0.01	13%	26 Jun →
dust2	13–11	0.00	22%	24 Jun →
mirage	11–13	0.01	15%	24 Jun →
ancient	10–13	0.09	14%	23 Jun →
cache	13–3	0.01	12%	23 Jun →
dust2	4–13	0.07	12%	23 Jun →
cache	13–5	-0.01	13%	22 Jun →
dust2	2–13	-0.05	15%	22 Jun →
ancient	13–8	-0.03	17%	17 Jun →
anubis	12–12	-0.04	13%	17 Jun →
dust2	13–4	0.04	8%	17 Jun →
ancient	13–10	-0.01	14%	15 Jun →
dust2	13–2	0.08	15%	15 Jun →
dust2	11–13	-0.06	8%	15 Jun →
dust2	13–11	-0.02	16%	15 Jun →
dust2	12–12	-0.03	18%	13 Jun →
dust2	13–8	0.01	13%	13 Jun →
dust2	13–3	-0.02	18%	13 Jun →
mirage	5–13	-0.00	13%	12 Jun →
dust2	12–12	0.04	20%	12 Jun →
dust2	13–3	0.10	20%	12 Jun →
dust2	6–0	0.04	13%	12 Jun →
cache	13–7	0.01	27%	12 Jun →
inferno	13–9	0.05	23%	12 Jun →
cache	13–5	0.03	15%	12 Jun →
train	13–4	0.08	12%	10 Jun →
anubis	13–4	0.05	25%	10 Jun →
mirage	13–10	0.04	20%	10 Jun →
cache	10–13	0.06	15%	10 Jun →