RainZZYY — CS2 Stats

UA76561198307469165[U:1:347203437]Steam profile ↗✓ No bans

2,235Tracked matches43%Win rate2020Tracked since

6,613Hours in CS1Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 10 · 2,687 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	44.4%	52.0%
Shot accuracy	13.5%	13.7%
Kill/death ratio	1.20	1.08
Match win rate	49.8%	48.8%

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Performance scores

Aim76

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLWLLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.06 avg rating

Player DNA

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

Aim7.6

Aggression7.7

Utility5.9

Positioning5.8

Opening Duels2.7

Clutch2.4

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 b1t 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6

Positioning5.8

Utility5.9

Mechanics5.4

Opening Duels2.7

Win Impact2.8

Composite 5.8/10 (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 rating0.02−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time532ms−17ms

first ⅓ avg 548ms → last ⅓ avg 532ms

Headshot accuracy21.4%+0.2%

first ⅓ avg 21.2% → last ⅓ avg 21.4%

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

0.18Best rating — inferno 13–0

13–0Biggest win — inferno

7Longest win streak

6–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 56% over 9infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	16–16	50%	0.02
ancient	C	19	8–11	42%	0.06
inferno	D	11	3–8	27%	0.00
dust2	A	11	6–5	55%	0.03
anubis	A	9	5–4	56%	0.03
overpass	A	9	5–4	56%	0.02
nuke	—	4	0–4	0%	-0.01
train	—	2	1–1	50%	0.03
cache	—	1	0–1	0%	0.07
vertigo	—	1	1–0	100%	0.08
rooftop	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

209,850Lifetime kills

1.20K/D · Top 50% of Level 10 players

8,548Matches

49.8%Match win rate · Top 50% of Level 10 players

44.4%Headshot %

13.5%Shot accuracy

31,969MVPs

3,908Hours (in match)

7,878Bombs planted

3,805Bombs defused

Most-used weapons

AK-4750,139

AWP33,636

Desert Eagle27,560

M4A4 / M4A1-S26,587

P2000 / USP-S13,258

Molotov11,019

Glock-187,161

SSG 085,311

Knife5,150

FAMAS2,927

Lifetime map wins

17,863dust2

10,062inferno

4,102vertigo

3,786train

2,947nuke

868cbble

788office

623lake

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

Faceit stats

Combat

4,187Matches

51%Win rate

1.18Avg K/D

84.5ADR

47%Headshot %

Clutches & streaks

32%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	463	50%	1.17	16.9
Ancient	394	52%	1.17	16.6
Anubis	279	48%	1.19	17.5
Dust2	233	50%	1.17	16.9
Inferno	98	61%	1.20	16.7
Vertigo	77	61%	1.18	16.6
Nuke	76	41%	1.02	15.6
Overpass	54	37%	1.09	17.0

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.

21.6%Headshot accuracy

32.7%Accuracy (enemy spotted)

35.2%Spray accuracy

74.2%Counter-strafing

7.9°Preaim

529msReaction time

39.4%T opening success

41.8%CT opening success

0.65Enemies flashed / flash

5.0%Flash assists

5.34HE damage / grenade

10.92Flashes / 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 39.4303% — 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.

27% win rate across 11 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
inferno	4–9	-0.14	15%	11 Aug →
mirage	13–2	0.03	37%	11 Aug →
mirage	11–13	-0.03	29%	25 Jul →
ancient	13–16	-0.00	13%	10 Jul →
ancient	14–16	0.08	17%	16 Jun →
ancient	6–13	-0.02	26%	15 Jun →
nuke	6–13	-0.01	21%	11 Jun →
dust2	11–13	0.01	20%	30 May →
inferno	8–13	-0.02	12%	29 May →
dust2	7–13	-0.05	25%	29 May →
ancient	13–4	0.16	23%	29 May →
mirage	13–9	0.04	19%	28 May →
cache	15–19	0.07	20%	26 May →
anubis	4–13	-0.03	29%	26 May →
ancient	9–13	0.17	28%	24 May →
inferno	7–13	-0.01	27%	14 May →
overpass	5–13	-0.04	16%	13 May →
anubis	13–11	0.05	24%	12 May →
anubis	13–8	0.07	18%	8 May →
mirage	13–11	-0.03	18%	1 May →
mirage	16–13	0.09	14%	29 Apr →
anubis	13–10	0.04	19%	28 Apr →
mirage	13–2	0.02	22%	25 Apr →
ancient	2–13	-0.01	19%	24 Apr →
mirage	13–10	0.07	30%	24 Apr →
mirage	8–13	0.00	23%	22 Apr →
inferno	6–9	-0.12	15%	22 Apr →
mirage	16–13	0.05	31%	22 Apr →
mirage	4–13	-0.06	15%	22 Apr →
mirage	2–13	-0.06	21%	21 Apr →
mirage	13–8	0.11	23%	11 Apr →
anubis	13–11	0.03	17%	10 Apr →
overpass	13–8	0.02	18%	26 Mar →
mirage	13–4	0.09	24%	26 Mar →
ancient	8–13	0.01	16%	6 Mar →
mirage	13–9	0.02	18%	31 Jan →
dust2	13–10	0.04	31%	24 Jan →
mirage	7–13	-0.04	18%	22 Jan →
mirage	3–0	0.05	33%	22 Jan →
mirage	8–13	0.09	10%	22 Jan →
mirage	13–5	-0.02	18%	22 Jan →
dust2	9–13	0.03	9%	5 Jan →
dust2	11–13	0.05	14%	29 Dec →
vertigo	9–5	0.08	15%	29 Dec →
overpass	14–16	0.00	29%	26 Dec →
mirage	13–5	0.12	24%	19 Dec →
mirage	5–13	0.03	20%	18 Dec →
nuke	15–15	-0.02	15%	17 Dec →
ancient	11–12	0.02	24%	10 Dec →
inferno	8–8	0.13	35%	28 Nov →
inferno	5–13	-0.01	20%	28 Nov →
mirage	13–3	0.12	12%	28 Nov →
mirage	0–6	-0.06	33%	28 Nov →
overpass	13–8	0.06	16%	22 Nov →
dust2	13–8	-0.01	26%	22 Nov →
mirage	6–13	-0.04	27%	22 Nov →
mirage	4–13	-0.07	17%	21 Nov →
ancient	13–4	0.07	28%	20 Nov →
nuke	3–9	-0.12	30%	20 Nov →
overpass	5–13	0.03	25%	16 Nov →
inferno	13–0	0.18	38%	12 Nov →
dust2	1–13	-0.01	38%	6 Nov →
inferno	10–13	0.04	22%	1 Nov →
inferno	8–13	0.07	30%	29 Oct →
rooftop	9–7	0.09	28%	29 Oct →
train	19–16	0.04	14%	22 Oct →
anubis	8–13	0.06	21%	15 Oct →
ancient	13–3	-0.00	10%	12 Oct →
mirage	2–13	-0.03	11%	11 Oct →
dust2	13–10	0.07	23%	2 Oct →
dust2	16–12	0.07	28%	1 Oct →
ancient	16–14	0.13	14%	28 Sept →
overpass	13–7	0.06	13%	24 Sept →
overpass	13–10	0.11	25%	24 Sept →
dust2	13–11	0.05	30%	18 Sept →
ancient	4–13	0.04	22%	18 Sept →
ancient	13–3	0.11	34%	15 Sept →
mirage	13–10	0.05	20%	7 Sept →
dust2	13–4	0.10	20%	5 Sept →
mirage	13–6	0.02	25%	5 Sept →
ancient	13–10	0.08	22%	4 Sept →
overpass	13–9	-0.02	33%	16 Aug →
ancient	13–5	0.15	18%	16 Aug →
overpass	1–12	-0.00	24%	10 Aug →
mirage	8–13	0.03	15%	3 Aug →
mirage	6–13	-0.04	33%	27 Jul →
ancient	13–9	0.09	15%	25 Jul →
ancient	10–13	-0.05	23%	17 Jul →
mirage	7–13	-0.02	25%	15 Jul →
inferno	13–10	-0.04	15%	9 Jul →
mirage	14–16	0.07	16%	28 Apr →
ancient	9–13	0.09	19%	28 Apr →
nuke	5–13	0.12	28%	26 Apr →
train	15–15	0.02	19%	16 Apr →
mirage	4–13	0.01	17%	16 Apr →
inferno	9–5	-0.04	25%	11 Apr →
ancient	10–13	0.04	18%	11 Apr →
anubis	13–7	0.06	28%	10 Apr →
anubis	14–16	0.04	15%	7 Apr →
anubis	10–13	-0.02	16%	5 Apr →