Rumiik — CS2 Stats

76561199140574904[U:1:1180309176]Steam profile ↗✓ No bans

1,486Tracked matches50%Win rate2021Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating26,689Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#1507 of 26591 tracked

FaceitLevel 10 · 2,041 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning47

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLLWTWWLWL

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.

Aim6.8

Aggression4.8

Utility5.3

Positioning4.7

Opening Duels0.3

Clutch3.6

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 658ms 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

Aim6.8

Positioning4.7

Utility5.3

Mechanics7.9

Opening Duels0.5

Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time663ms−33ms

first ⅓ avg 696ms → last ⅓ avg 663ms

Headshot accuracy25.9%+3.5%

first ⅓ avg 22.4% → last ⅓ avg 25.9%

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

0.17Best rating — rooftop 9–1

13–3Biggest win — nuke

5Longest win streak

13–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 78% over 9infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	12–10	55%	0.00
anubis	B	17	9–8	53%	0.01
overpass	A	16	9–7	56%	-0.01
ancient	B	12	6–6	50%	-0.01
dust2	S	9	7–2	78%	0.01
mirage	B	8	4–4	50%	-0.02
inferno	D	6	1–5	17%	-0.02
train	—	4	3–1	75%	-0.01
rooftop	—	3	2–1	67%	0.05
vertigo	—	2	2–0	100%	0.10
poseidon	—	1	0–1	0%	-0.02

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.

Faceit stats

Combat

1,281Matches

51%Win rate

1.11Avg K/D

81.6ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	108	44%	1.27	17.9
Mirage	88	56%	1.24	17.0
Ancient	61	46%	1.10	16.7
Nuke	60	47%	1.22	17.1
Dust2	60	50%	1.27	16.3
Inferno	43	44%	1.16	17.6
Vertigo	39	62%	1.34	18.1
Train	19	53%	1.29	16.3

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.

25.9%Headshot accuracy

30.4%Accuracy (enemy spotted)

33.3%Spray accuracy

85.6%Counter-strafing

10.1°Preaim

658msReaction time

28.1%T opening success

34.0%CT opening success

0.47Enemies flashed / flash

7.1%Flash assists

5.93HE damage / grenade

10.03Flashes / 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 0.4659 — 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 28.1449% — below the 40% mark we flag

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
vertigo	9–3	0.08	53%	6 Jul →
overpass	11–13	-0.03	33%	17 Apr →
dust2	7–13	-0.02	45%	17 Apr →
nuke	16–13	-0.00	31%	13 Apr →
ancient	15–15	-0.02	24%	9 Apr →
anubis	13–6	-0.02	15%	8 Apr →
dust2	13–6	0.06	10%	7 Apr →
inferno	8–13	-0.02	24%	6 Apr →
anubis	13–11	-0.04	27%	6 Apr →
anubis	8–13	-0.04	10%	6 Apr →
overpass	5–13	-0.09	17%	6 Apr →
nuke	13–6	0.05	17%	5 Apr →
overpass	13–8	-0.00	33%	5 Apr →
anubis	10–13	0.02	50%	3 Apr →
ancient	2–13	-0.04	23%	3 Apr →
ancient	13–10	-0.05	24%	3 Apr →
ancient	1–13	-0.04	38%	29 Mar →
nuke	0–13	-0.08	27%	28 Mar →
nuke	5–13	-0.02	23%	28 Mar →
overpass	13–6	0.05	24%	28 Mar →
ancient	13–11	0.00	22%	28 Mar →
dust2	3–13	-0.04	29%	28 Mar →
anubis	13–5	0.07	20%	28 Mar →
anubis	7–13	-0.09	25%	27 Mar →
nuke	13–10	-0.01	21%	27 Mar →
mirage	13–8	-0.01	25%	27 Mar →
ancient	13–16	-0.08	28%	27 Mar →
nuke	15–15	0.01	31%	27 Mar →
anubis	13–5	0.11	18%	26 Mar →
mirage	4–13	-0.07	24%	22 Mar →
mirage	13–9	-0.06	30%	22 Mar →
nuke	13–3	-0.01	19%	22 Mar →
ancient	13–9	0.02	16%	22 Mar →
dust2	13–11	-0.04	30%	20 Mar →
overpass	8–10	-0.03	21%	20 Mar →
nuke	13–7	0.03	19%	20 Mar →
anubis	13–11	0.01	13%	20 Mar →
overpass	13–8	0.04	24%	18 Mar →
anubis	13–9	0.07	21%	18 Mar →
poseidon	6–9	-0.02	9%	18 Mar →
anubis	13–11	0.03	18%	18 Mar →
mirage	12–16	0.03	29%	18 Mar →
mirage	13–4	0.03	29%	17 Mar →
dust2	13–3	0.04	12%	17 Mar →
mirage	5–13	-0.07	45%	17 Mar →
dust2	13–5	0.06	30%	17 Mar →
anubis	10–13	0.07	24%	16 Mar →
overpass	13–7	-0.03	12%	16 Mar →
nuke	13–4	0.13	46%	16 Mar →
anubis	14–16	-0.01	29%	16 Mar →
inferno	0–8	0.02	40%	15 Mar →
inferno	3–13	-0.03	21%	15 Mar →
anubis	6–13	-0.01	28%	14 Mar →
anubis	13–11	0.00	32%	14 Mar →
overpass	4–13	-0.01	33%	13 Mar →
anubis	13–11	0.06	43%	10 Mar →
nuke	5–13	-0.00	17%	9 Mar →
overpass	11–13	-0.01	38%	8 Mar →
nuke	16–14	-0.02	30%	6 Mar →
anubis	8–13	-0.00	33%	5 Mar →
ancient	9–13	-0.05	30%	5 Mar →
nuke	13–4	0.08	35%	5 Mar →
nuke	2–7	0.00	50%	31 Jan →
anubis	13–16	-0.04	36%	29 Jan →
dust2	13–11	0.05	22%	25 Jan →
overpass	13–8	-0.02	21%	24 Jan →
nuke	13–8	0.03	25%	24 Jan →
overpass	1–13	-0.11	17%	24 Jan →
nuke	7–13	-0.02	26%	24 Jan →
ancient	13–5	0.14	19%	24 Jan →
nuke	13–7	0.04	35%	19 Jan →
overpass	12–16	-0.05	14%	16 Jan →
dust2	13–9	0.02	33%	16 Jan →
mirage	13–8	-0.04	23%	9 Jan →
inferno	0–5	-0.08	0%	31 Dec →
train	9–13	0.01	22%	28 Dec →
ancient	11–13	-0.01	38%	28 Dec →
nuke	13–6	-0.03	19%	28 Dec →
overpass	13–7	0.04	43%	28 Dec →
nuke	11–13	0.04	17%	28 Dec →
train	13–11	-0.05	15%	27 Dec →
overpass	13–9	0.02	25%	27 Dec →
nuke	13–16	-0.04	24%	25 Dec →
nuke	2–6	-0.12	23%	24 Dec →
train	13–9	0.00	22%	23 Dec →
ancient	13–9	0.00	28%	22 Dec →
dust2	13–11	-0.04	28%	21 Dec →
overpass	13–4	0.12	26%	21 Dec →
inferno	14–16	-0.01	9%	20 Dec →
train	13–11	-0.02	28%	20 Dec →
ancient	16–13	-0.00	15%	19 Dec →
rooftop	9–3	-0.00	30%	19 Dec →
mirage	6–13	0.02	20%	18 Dec →
rooftop	8–8	-0.02	21%	15 Dec →
nuke	13–5	0.10	15%	15 Dec →
rooftop	9–1	0.17	18%	15 Dec →
vertigo	9–4	0.12	30%	15 Dec →
inferno	13–10	-0.01	24%	12 Dec →
overpass	13–11	-0.01	17%	11 Dec →
nuke	3–10	-0.08	16%	6 Dec →