Rumay — CS2 Stats

ES76561197977599052[U:1:17333324]Steam profile ↗✓ No bans

1,564Tracked matches31%Win rate2020Tracked since

5,277Hours in CS22Hrs last 2 wks

CSDB Rating5.1 DevelopingSupport

Premier CS Rating20,340Pink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#3401 of 7819 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

20,340Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 20,340
Next: Red band at 25,000 — 4,660 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66

Positioning38

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWWWWLLLLL

Last 10 vs previous 10: -20pp win rate · +0.07 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.6

Aggression4.3

Utility7.0

Positioning3.8

Opening Duels1.4

Clutch10.0

Strong CT-side openerReliable in 1v1s

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 86% playstyle similarity

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

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 55% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.6

Positioning3.8

Utility7.0

Mechanics5.9

Opening Duels3.2

Win Impact0.0

Composite 5.1/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time606ms−91ms

first ⅓ avg 697ms → last ⅓ avg 606ms

Headshot accuracy14.8%−2.1%

first ⅓ avg 16.8% → last ⅓ avg 14.8%

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

0.38Best rating — inferno 9–2

13–2Biggest win — nuke

4Longest win streak

7–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 67% over 18anubisWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	9–10	47%	0.01
cache	C	19	8–11	42%	0.00
inferno	S	18	12–6	67%	0.03
dust2	C	16	7–9	44%	0.00
ancient	C	13	5–8	38%	-0.01
anubis	D	12	2–10	17%	-0.01
mirage	—	3	2–1	67%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,554Lifetime kills

1.01K/D

6,557Matches

44.5%Match win rate

43.8%Headshot %

15.2%Shot accuracy · Top 50% of Pink band

17,380MVPs

3,163Hours (in match)

4,622Bombs planted

1,062Bombs defused

Most-used weapons

AK-4733,662

M4A4 / M4A1-S24,182

AWP15,513

P25013,857

P2000 / USP-S12,436

Glock-185,799

Galil AR5,393

FAMAS4,926

Nova4,907

Desert Eagle3,404

Lifetime map wins

16,014dust2

12,288inferno

3,560nuke

1,176train

1,124vertigo

747cbble

162dust

121office

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

Faceit stats

Combat

252Matches

52%Win rate

0.98Avg K/D

108.4ADR

41%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.60	11.0
Overpass	1	100%	0.59	13.0
Ancient	1	100%	0.69	9.0
Inferno	1	100%	1.50	24.0

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.

14.6%Headshot accuracy

38.3%Accuracy (enemy spotted)

40.2%Spray accuracy

76.6%Counter-strafing

10.7°Preaim

611msReaction time

15.5%T opening success

55.4%CT opening success

0.64Enemies flashed / flash

10.9%Flash assists

12.03HE damage / grenade

9.12Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.55% — below the 15% mark we flag
Aim Training →
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 15.456% — 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.

17% win rate across 12 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
inferno	2–9	-0.15	10%	27 Aug →
inferno	9–2	0.38	22%	27 Aug →
inferno	9–5	0.20	19%	27 Aug →
nuke	9–3	0.28	14%	27 Aug →
dust2	13–8	0.06	32%	27 Aug →
anubis	7–13	-0.03	12%	27 Aug →
ancient	10–13	-0.06	14%	27 Aug →
inferno	10–13	-0.01	4%	27 Aug →
dust2	6–13	0.01	13%	27 Aug →
anubis	4–13	-0.01	19%	26 Aug →
cache	13–9	-0.03	11%	26 Aug →
nuke	16–14	-0.02	16%	25 Aug →
ancient	5–13	-0.04	19%	25 Aug →
ancient	6–13	0.02	17%	23 Aug →
cache	4–13	-0.06	27%	23 Aug →
nuke	13–11	-0.02	11%	21 Aug →
ancient	13–9	0.06	8%	21 Aug →
cache	13–10	0.03	22%	21 Aug →
anubis	8–13	0.04	13%	20 Aug →
inferno	13–8	0.01	24%	20 Aug →
inferno	13–8	0.08	16%	20 Aug →
nuke	11–13	-0.05	13%	19 Aug →
inferno	13–7	0.05	15%	19 Aug →
inferno	3–13	-0.04	9%	19 Aug →
anubis	4–13	-0.10	16%	19 Aug →
dust2	3–13	-0.05	13%	18 Aug →
anubis	15–15	0.02	8%	18 Aug →
ancient	11–13	-0.00	13%	18 Aug →
cache	10–13	-0.02	10%	17 Aug →
inferno	8–13	0.01	13%	17 Aug →
dust2	8–13	-0.02	8%	17 Aug →
nuke	5–13	-0.03	13%	11 Aug →
anubis	13–16	0.05	14%	11 Aug →
dust2	12–16	-0.01	19%	10 Aug →
ancient	13–9	0.02	18%	10 Aug →
inferno	13–10	-0.00	14%	10 Aug →
cache	9–13	-0.05	11%	10 Aug →
inferno	11–13	-0.01	24%	9 Aug →
inferno	13–10	0.04	20%	9 Aug →
inferno	13–8	-0.07	4%	9 Aug →
anubis	5–13	-0.06	10%	9 Aug →
nuke	13–7	0.04	22%	9 Aug →
cache	6–13	-0.00	10%	9 Aug →
ancient	13–11	-0.09	10%	9 Aug →
ancient	13–9	0.05	15%	6 Aug →
mirage	13–11	-0.02	16%	6 Aug →
nuke	13–5	0.06	14%	6 Aug →
inferno	11–13	-0.05	19%	5 Aug →
cache	13–9	-0.03	17%	5 Aug →
cache	8–13	-0.02	17%	5 Aug →
ancient	3–13	-0.06	11%	5 Aug →
cache	13–9	0.02	21%	4 Aug →
cache	15–15	0.00	12%	4 Aug →
cache	7–13	-0.07	17%	4 Aug →
nuke	14–16	-0.01	8%	4 Aug →
cache	13–6	0.03	12%	3 Aug →
nuke	15–15	-0.00	15%	3 Aug →
anubis	13–3	0.06	17%	3 Aug →
cache	13–16	-0.01	16%	3 Aug →
nuke	13–2	0.02	18%	3 Aug →
dust2	15–15	-0.04	19%	2 Aug →
dust2	13–7	0.04	30%	2 Aug →
inferno	13–6	-0.03	4%	2 Aug →
cache	14–16	0.02	10%	2 Aug →
dust2	16–12	0.08	8%	2 Aug →
nuke	9–13	0.01	12%	31 Jul →
dust2	8–13	0.01	18%	29 Jul →
cache	13–8	0.05	22%	29 Jul →
dust2	13–7	0.03	31%	28 Jul →
inferno	13–6	-0.01	14%	28 Jul →
cache	7–13	0.07	22%	28 Jul →
ancient	9–13	0.02	17%	28 Jul →
dust2	8–13	-0.01	17%	28 Jul →
nuke	7–13	-0.06	21%	27 Jul →
ancient	10–13	0.01	14%	25 Jul →
dust2	13–10	0.01	14%	25 Jul →
nuke	9–3	0.04	30%	25 Jul →
ancient	10–13	-0.00	12%	25 Jul →
dust2	10–13	-0.04	15%	25 Jul →
anubis	2–13	-0.02	9%	25 Jul →
mirage	13–8	0.01	4%	25 Jul →
nuke	8–13	-0.06	25%	24 Jul →
anubis	13–11	-0.05	9%	24 Jul →
ancient	13–3	-0.03	16%	24 Jul →
nuke	13–9	0.11	18%	24 Jul →
inferno	13–11	0.01	14%	24 Jul →
dust2	10–13	-0.07	20%	24 Jul →
cache	13–9	-0.01	7%	24 Jul →
inferno	13–11	0.04	21%	23 Jul →
dust2	13–10	0.01	26%	23 Jul →
cache	7–13	0.04	19%	23 Jul →
nuke	13–8	0.00	16%	23 Jul →
dust2	13–8	0.02	14%	23 Jul →
nuke	14–16	0.01	14%	23 Jul →
anubis	3–13	-0.01	25%	23 Jul →
nuke	3–13	-0.05	28%	23 Jul →
anubis	6–13	-0.01	16%	23 Jul →
mirage	12–16	-0.06	7%	23 Jul →
cache	13–7	0.06	9%	23 Jul →
nuke	6–13	-0.04	11%	23 Jul →