ruma — CS2 Stats

76561198134725463[U:1:174459735]

772Tracked matches76%Win rate2020Tracked since

4,443Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating27,055Top 25% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning61

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY66–29–5Last 10066%Win rateLLWLWWWLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.1

Aggression10.0

Utility4.9

Positioning6.1

Opening Duels4.4

Clutch4.0

Strong CT-side openerEffective flashesLimited 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 device 92% playstyle similarity

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

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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

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 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Positioning6.1

Utility4.9

Mechanics7.6

Opening Duels4.4

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time576ms−56ms

first ⅓ avg 632ms → last ⅓ avg 576ms

Headshot accuracy25.5%−3.4%

first ⅓ avg 28.9% → 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

0.20Best rating — mirage 13–0

13–0Biggest win — cache

10Longest win streak

L2Current streak

6–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 100% over 8trainWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	30	21–9	70%	0.01
nuke	B	17	8–9	47%	-0.02
dust2	S	16	11–5	69%	-0.03
inferno	S	15	10–5	67%	0.00
cache	S	8	8–0	100%	0.04
train	C	7	3–4	43%	-0.01
ancient	—	3	2–1	67%	0.02
overpass	—	2	1–1	50%	-0.01
anubis	—	1	1–0	100%	0.01
grail	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Lifetime stats

200,987Lifetime kills

0.91K/D

7,870Matches

48.7%Match win rate · Top 50% of tracked players

46.9%Headshot % · Top 50% of tracked players

16.6%Shot accuracy · Top 25% of tracked players

23,318MVPs

4,443Hours (in match)

10,724Bombs planted

6,748Bombs defused

Most-used weapons

AK-4770,122

AWP39,881

M4A4 / M4A1-S29,592

P2000 / USP-S14,006

Desert Eagle10,490

Glock-189,689

AUG3,393

P2503,366

Knife2,723

SSG 082,708

Lifetime map wins

15,645inferno

10,874dust2

9,115train

4,963cbble

4,510nuke

1,835vertigo

176office

79lake

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

Faceit stats

Combat

1,471Matches

62%Win rate

1.04Avg K/D

66.5ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

13%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	48%	0.84	13.0
Dust2	20	35%	0.78	11.4
Inferno	11	55%	1.04	15.3
Nuke	9	56%	0.84	13.7
Ancient	5	60%	1.14	13.2
Overpass	4	50%	1.02	17.8
Anubis	3	67%	1.15	16.7
Cache	2	100%	2.12	15.0

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.

25.2%Headshot accuracy

31.9%Accuracy (enemy spotted)

30.2%Spray accuracy

84.3%Counter-strafing

7.4°Preaim

562msReaction time

37.8%T opening success

57.5%CT opening success

0.79Enemies flashed / flash

7.3%Flash assists

8.31HE damage / grenade

3.78Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.781 — below the 4 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 37.8184% — below the 40% mark we flag

Spend your practice time on Train

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.03	21%	23 Aug →
mirage	4–13	-0.02	22%	21 Aug →
cache	13–10	0.02	30%	21 Aug →
nuke	9–13	-0.00	31%	21 Aug →
inferno	13–6	-0.00	27%	21 Aug →
dust2	13–8	-0.04	11%	21 Aug →
mirage	13–2	-0.02	11%	21 Aug →
dust2	2–13	-0.06	27%	21 Aug →
mirage	13–9	-0.05	18%	21 Aug →
dust2	5–13	-0.08	40%	16 Aug →
nuke	13–7	0.00	22%	16 Aug →
mirage	13–11	-0.01	28%	16 Aug →
cache	13–5	0.02	33%	19 Jul →
mirage	13–9	-0.02	32%	19 Jul →
nuke	8–13	-0.03	15%	19 Jul →
mirage	13–3	-0.02	26%	19 Jul →
dust2	13–3	-0.06	13%	19 Jul →
cache	13–3	0.12	17%	19 Jul →
inferno	13–4	0.01	35%	4 Jul →
mirage	15–15	0.02	39%	4 Jul →
nuke	13–10	-0.01	19%	4 Jul →
cache	13–11	0.01	40%	1 May →
cache	13–4	0.01	16%	1 May →
cache	13–0	0.04	38%	1 May →
cache	13–0	0.04	43%	1 May →
cache	13–0	0.02	28%	1 May →
inferno	13–6	-0.01	10%	11 Apr →
mirage	9–13	-0.02	21%	11 Apr →
mirage	13–10	0.02	24%	5 Apr →
nuke	16–12	0.07	18%	5 Apr →
dust2	14–16	-0.02	26%	5 Apr →
mirage	13–0	0.20	30%	5 Apr →
mirage	13–4	0.01	30%	13 Dec →
inferno	12–12	-0.00	22%	6 Dec →
inferno	10–13	-0.02	44%	22 Nov →
train	14–16	-0.02	25%	22 Nov →
dust2	13–10	-0.10	16%	22 Nov →
mirage	13–10	-0.06	19%	22 Nov →
inferno	10–13	-0.01	17%	19 Oct →
dust2	13–11	0.03	31%	19 Oct →
nuke	11–1	0.06	30%	19 Oct →
mirage	13–2	0.14	26%	19 Oct →
inferno	13–7	0.05	30%	30 Aug →
mirage	14–16	-0.01	31%	6 Aug →
dust2	13–11	-0.08	12%	30 Jul →
mirage	13–9	-0.01	15%	27 Jul →
overpass	13–16	-0.01	29%	27 Jul →
mirage	9–13	0.04	25%	27 Jul →
overpass	13–10	0.00	28%	25 Jul →
dust2	16–13	0.02	31%	24 Jul →
mirage	5–13	-0.02	23%	24 Jul →
inferno	13–10	0.05	25%	23 Jul →
train	5–13	-0.08	19%	22 Jul →
train	11–13	-0.04	22%	18 Jul →
inferno	13–10	-0.07	13%	18 Jul →
mirage	13–9	-0.06	44%	18 Jul →
nuke	13–5	0.06	28%	14 Jul →
mirage	13–5	0.04	33%	14 Jul →
inferno	13–2	0.11	27%	14 Jul →
train	13–3	0.11	17%	13 Jul →
ancient	13–6	0.01	21%	13 Jul →
mirage	13–9	0.12	18%	13 Jul →
anubis	13–5	0.01	20%	13 Jul →
ancient	13–11	0.05	16%	13 Jul →
inferno	4–9	-0.05	32%	6 Jul →
ancient	15–15	-0.01	24%	6 Jul →
nuke	13–4	-0.00	19%	6 Jul →
dust2	13–7	0.02	19%	6 Jul →
mirage	13–7	-0.02	32%	6 Jul →
inferno	13–16	-0.05	14%	4 Jul →
train	13–9	0.01	44%	1 Jul →
dust2	13–1	0.01	33%	1 Jul →
grail	13–5	-0.00	27%	1 Jul →
nuke	5–13	-0.08	25%	13 Jun →
mirage	15–15	0.04	33%	13 Jun →
dust2	10–13	-0.05	17%	13 Jun →
nuke	15–15	-0.04	30%	11 Apr →
mirage	13–10	0.01	21%	11 Apr →
dust2	13–10	0.00	26%	11 Apr →
inferno	13–4	-0.06	25%	11 Apr →
mirage	11–13	-0.04	26%	11 Apr →
nuke	10–13	-0.07	27%	6 Apr →
dust2	13–3	-0.02	43%	6 Apr →
mirage	13–11	-0.02	50%	6 Apr →
dust2	13–8	0.00	21%	6 Apr →
mirage	13–10	-0.01	40%	6 Apr →
nuke	8–13	-0.06	30%	6 Apr →
inferno	13–8	0.03	47%	6 Apr →
mirage	10–13	-0.03	20%	5 Apr →
nuke	13–10	-0.01	38%	5 Apr →
mirage	13–7	-0.05	16%	2 Apr →
train	7–13	-0.04	21%	2 Apr →
nuke	10–13	-0.03	33%	2 Apr →
mirage	16–13	0.02	34%	2 Apr →
train	13–8	0.01	45%	29 Mar →
nuke	9–13	-0.01	25%	29 Mar →
dust2	6–13	-0.05	19%	29 Mar →
nuke	13–4	-0.07	18%	29 Mar →
inferno	13–9	0.05	31%	29 Mar →
mirage	13–8	-0.01	21%	29 Mar →