瑠璃鳥 — CS2 Stats

76561198005407245[U:1:45141517]Steam profile ↗✓ No bans

2,254Tracked matches80%Win rate2020Tracked since

6,907Hours in CS25Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating24,682Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#8113 of 59511 tracked

FaceitLevel 8 · 1,705 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), 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 8 median	Level 9 median	vs Level 9
Headshot rate	65.3%	47.0%	48.4%	above
Shot accuracy	9.5%	12.8%	13.2%	3.7% short
Kill/death ratio	1.05	1.07	1.08	0.02 short
Match win rate	57.6%	46.4%	47.0%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim89

Positioning58

Utility68

0–100 skill scores via Leetify.

Recent form

HOT75–21–4Last 10075%Win rateWWWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim8.9

Aggression9.3

Utility6.8

Positioning5.8

Opening Duels3.8

Clutch6.2

Sharp aimerStrong CT-side opener

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 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning5.8

Utility6.8

Mechanics7.5

Opening Duels3.8

Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time510ms−78ms

first ⅓ avg 588ms → last ⅓ avg 510ms

Headshot accuracy26.2%−2.6%

first ⅓ avg 28.9% → last ⅓ avg 26.2%

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

0.18Best rating — inferno 13–5

13–1Biggest win — dust2

10Longest win streak

W10Current streak

3–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 100% over 8ancientWeakest map · 50% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	25	21–4	84%	0.01
inferno	S	20	16–4	80%	0.04
mirage	A	19	12–7	63%	0.03
anubis	S	9	7–2	78%	0.04
cache	S	8	8–0	100%	0.05
ancient	B	8	4–4	50%	0.04
nuke	—	4	2–2	50%	-0.00
vertigo	—	2	2–0	100%	0.08
train	—	2	1–1	50%	0.01
shelter	—	2	1–1	50%	-0.00
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

227,757Lifetime kills

1.05K/D

7,496Matches

57.6%Match win rate · Top 5% of Level 8 players

65.3%Headshot % · Top 5% of Level 8 players

9.5%Shot accuracy

18,448MVPs

3,664Hours (in match)

5,266Bombs planted

1,902Bombs defused

Most-used weapons

AK-47122,717

M4A4 / M4A1-S34,261

Desert Eagle11,417

P2000 / USP-S10,657

AWP6,582

Glock-186,551

MP96,500

P2503,410

SG 5533,083

MAC-102,566

Lifetime map wins

14,726inferno

9,281dust2

2,978nuke

2,125vertigo

1,943train

392cbble

267office

252italy

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

Faceit stats

Combat

102Matches

71%Win rate

1.42Avg K/D

89.6ADR

59%Headshot %

Clutches & streaks

51%1v1 clutch win

23%1v2 clutch win

16Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	90%	1.49	18.8
Inferno	12	83%	1.85	18.6
Ancient	11	73%	1.44	18.4
Dust2	11	73%	1.24	15.4
Train	3	100%	2.22	15.0
Cache	3	100%	2.01	18.0
Nuke	3	67%	1.50	16.3
Anubis	3	67%	1.23	11.7

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.

26.1%Headshot accuracy

34.2%Accuracy (enemy spotted)

40.7%Spray accuracy

83.7%Counter-strafing

8.3°Preaim

517msReaction time

36.1%T opening success

54.6%CT opening success

0.60Enemies flashed / flash

7.3%Flash assists

8.85HE damage / grenade

10.48Flashes / 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 36.0938% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.03	15%	30 Aug →
inferno	13–7	0.01	18%	30 Aug →
dust2	13–6	-0.00	29%	29 Aug →
mirage	13–3	0.11	22%	29 Aug →
cache	13–7	0.04	23%	29 Aug →
anubis	13–2	0.04	20%	29 Aug →
cache	13–8	0.02	38%	28 Aug →
ancient	13–4	-0.01	32%	28 Aug →
inferno	13–3	0.08	43%	28 Aug →
mirage	13–10	0.08	33%	28 Aug →
anubis	9–13	0.01	20%	28 Aug →
ancient	3–13	0.00	25%	28 Aug →
mirage	5–13	-0.01	35%	28 Aug →
dust2	13–1	-0.01	10%	27 Aug →
dust2	13–10	-0.03	34%	27 Aug →
ancient	11–13	0.10	23%	27 Aug →
cache	13–1	0.07	16%	27 Aug →
ancient	13–2	0.07	24%	27 Aug →
dust2	13–8	-0.01	42%	27 Aug →
inferno	13–6	-0.04	31%	27 Aug →
mirage	9–13	-0.04	13%	27 Aug →
ancient	13–1	0.02	32%	27 Aug →
cache	7–3	-0.08	50%	27 Aug →
dust2	13–10	0.03	17%	25 Aug →
mirage	13–3	0.04	16%	25 Aug →
dust2	13–10	0.05	32%	22 Aug →
mirage	13–4	0.03	25%	22 Aug →
inferno	10–2	0.02	12%	22 Aug →
dust2	14–16	-0.01	22%	22 Aug →
mirage	13–8	0.04	33%	22 Aug →
inferno	13–2	0.07	24%	21 Aug →
vertigo	7–1	0.09	33%	21 Aug →
dust2	13–3	0.03	23%	21 Aug →
train	13–8	0.02	27%	21 Aug →
mirage	13–4	0.06	18%	21 Aug →
ancient	13–7	0.03	22%	21 Aug →
train	10–13	-0.01	35%	16 Aug →
dust2	13–4	0.05	33%	16 Aug →
dust2	3–0	0.01	67%	16 Aug →
mirage	5–13	-0.02	24%	16 Aug →
cache	13–9	0.09	36%	15 Aug →
inferno	7–13	-0.01	20%	15 Aug →
anubis	13–6	0.04	25%	15 Aug →
mirage	12–12	0.00	19%	15 Aug →
dust2	2–6	0.05	18%	14 Aug →
mirage	13–2	0.15	29%	14 Aug →
anubis	4–13	0.00	22%	14 Aug →
dust2	13–5	-0.03	33%	14 Aug →
anubis	13–3	0.09	22%	14 Aug →
dust2	13–8	-0.04	32%	14 Aug →
mirage	13–4	-0.01	12%	14 Aug →
inferno	9–13	-0.01	35%	14 Aug →
ancient	12–12	0.10	31%	14 Aug →
inferno	13–7	0.06	21%	14 Aug →
mirage	1–3	0.11	67%	14 Aug →
dust2	13–7	0.09	32%	12 Aug →
inferno	13–1	0.08	30%	12 Aug →
inferno	13–8	0.02	20%	12 Aug →
dust2	13–10	-0.01	34%	12 Aug →
inferno	13–5	0.18	19%	11 Aug →
ancient	8–13	0.00	37%	10 Aug →
mirage	10–13	-0.04	30%	10 Aug →
dust2	13–3	0.01	33%	10 Aug →
inferno	13–5	0.05	60%	9 Aug →
dust2	13–8	-0.00	25%	9 Aug →
dust2	13–5	0.03	27%	4 Aug →
inferno	8–13	0.05	32%	4 Aug →
cache	13–2	0.14	32%	4 Aug →
mirage	13–11	0.06	27%	31 Jul →
vertigo	13–1	0.08	32%	31 Jul →
dust2	8–13	-0.00	33%	31 Jul →
inferno	13–6	0.02	25%	31 Jul →
shelter	4–4	-0.09	22%	30 Jul →
dust2	9–13	-0.03	28%	30 Jul →
inferno	13–9	-0.01	29%	28 Jul →
cache	13–3	0.10	38%	26 Jul →
anubis	13–2	0.11	20%	25 Jul →
nuke	13–3	-0.04	24%	25 Jul →
mirage	13–11	-0.05	21%	25 Jul →
inferno	13–5	0.02	28%	25 Jul →
anubis	13–9	-0.03	52%	24 Jul →
inferno	13–8	0.09	29%	24 Jul →
mirage	13–1	0.02	21%	24 Jul →
dust2	13–5	-0.01	24%	24 Jul →
nuke	12–12	0.01	38%	24 Jul →
dust2	13–6	0.03	23%	24 Jul →
inferno	5–13	-0.02	29%	23 Jul →
nuke	13–11	0.03	19%	23 Jul →
nuke	12–12	-0.03	20%	23 Jul →
dust2	13–2	0.05	24%	23 Jul →
mirage	12–0	-0.00	29%	23 Jul →
inferno	13–3	0.16	35%	22 Jul →
cache	13–10	0.00	33%	22 Jul →
anubis	13–8	0.10	29%	22 Jul →
dust2	13–1	0.04	17%	21 Jul →
mirage	11–6	-0.03	32%	21 Jul →
shelter	13–8	0.09	51%	21 Jul →
anubis	13–1	0.00	34%	21 Jul →
inferno	13–7	0.02	28%	21 Jul →
overpass	13–7	0.07	25%	21 Jul →