raWx — CS2 Stats

76561198395936916[U:1:435671188]

2,009Tracked matches43%Win rate2022Tracked since

2,414Hours in CS22Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating22,590Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#12773 of 52978 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median	Level 10 median	vs Level 10
Headshot rate	70.0%	48.5%	51.9%	above
Shot accuracy	3.8%	13.3%	13.7%	9.9% short
Kill/death ratio	2.58	1.07	1.08	above
Match win rate	48.2%	47.0%	48.7%	meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim65

Positioning55

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLLWWLLWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression5.7

Utility6.6

Positioning5.5

Opening Duels1.7

Clutch4.4

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 NiKo 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.5

Positioning5.5

Utility6.6

Mechanics4.1

Opening Duels1.7

Win Impact2.8

Composite 5.2/10 (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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time524ms−37ms

first ⅓ avg 560ms → last ⅓ avg 524ms

Headshot accuracy22.6%+5.9%

first ⅓ avg 16.8% → last ⅓ avg 22.6%

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

0.21Best rating — nuke 9–1

13–2Biggest win — cache

11Longest win streak

7–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

dust2Best map · 67% over 6ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	29	10–19	34%	0.02
cache	A	18	10–8	56%	0.01
anubis	C	18	8–10	44%	0.02
ancient	D	8	2–6	25%	0.01
mirage	B	8	4–4	50%	0.03
dust2	S	6	4–2	67%	0.04
vertigo	—	4	4–0	100%	0.06
nuke	—	4	2–2	50%	0.05
debris	—	2	2–0	100%	0.06
overpass	—	1	0–1	0%	-0.03
shelter	—	1	1–0	100%	0.09
eldorado	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,560Lifetime kills

2.58K/D · Top 1% of Level 9 players

3,225Matches

48.2%Match win rate · Top 50% of Level 9 players

70.0%Headshot % · Top 5% of Level 9 players

3.8%Shot accuracy

9,273MVPs

1,752Hours (in match)

6,290Bombs planted

1,058Bombs defused

Most-used weapons

AK-4783,389

M4A4 / M4A1-S11,526

Desert Eagle5,809

AWP4,678

P2000 / USP-S3,759

SSG 082,839

MP92,447

Glock-182,325

Galil AR1,936

MAC-101,464

Lifetime map wins

5,067inferno

2,945vertigo

1,724dust2

1,312nuke

1,053office

372italy

267train

143cbble

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

Faceit stats

Combat

192Matches

62%Win rate

1.51Avg K/D

91.3ADR

48%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	56	73%	1.47	18.3
Vertigo	41	76%	1.71	17.9
Ancient	25	44%	1.44	19.0
Inferno	21	43%	1.43	18.9
Dust2	9	56%	1.52	22.3
Cache	9	100%	2.45	19.6
Mirage	9	22%	1.03	15.9
Overpass	7	43%	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.

22.5%Headshot accuracy

31.8%Accuracy (enemy spotted)

33.8%Spray accuracy

68.5%Counter-strafing

10.3°Preaim

518msReaction time

32.5%T opening success

40.8%CT opening success

0.62Enemies flashed / flash

4.7%Flash assists

10.00HE damage / grenade

15.32Flashes / 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 32.5041% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–9	0.11	23%	28 Aug →
inferno	5–13	-0.03	11%	28 Aug →
inferno	5–13	-0.08	44%	28 Aug →
ancient	13–10	0.05	28%	28 Aug →
cache	13–11	-0.01	18%	28 Aug →
cache	7–13	-0.04	30%	27 Aug →
cache	7–13	-0.02	22%	27 Aug →
inferno	13–8	0.10	25%	27 Aug →
cache	16–14	0.04	18%	26 Aug →
inferno	5–13	0.03	12%	26 Aug →
anubis	11–13	0.10	15%	26 Aug →
ancient	11–13	0.03	22%	26 Aug →
cache	13–7	0.07	24%	25 Aug →
inferno	11–13	-0.02	27%	25 Aug →
dust2	11–13	0.02	18%	25 Aug →
anubis	11–2	-0.01	19%	25 Aug →
anubis	13–7	0.03	25%	25 Aug →
vertigo	13–7	0.05	25%	16 Aug →
inferno	8–13	0.03	17%	15 Aug →
vertigo	13–8	0.07	29%	15 Aug →
anubis	6–13	0.03	31%	12 Aug →
cache	6–13	0.11	25%	12 Aug →
dust2	13–5	0.05	27%	12 Aug →
nuke	9–1	0.21	28%	12 Aug →
inferno	7–9	-0.01	26%	12 Aug →
inferno	9–6	0.13	13%	12 Aug →
cache	5–13	-0.05	24%	11 Aug →
anubis	4–13	-0.09	17%	11 Aug →
cache	10–13	-0.05	13%	11 Aug →
dust2	6–13	-0.05	35%	11 Aug →
mirage	4–11	0.01	13%	11 Aug →
inferno	13–7	0.01	13%	11 Aug →
nuke	7–3	0.02	30%	11 Aug →
inferno	2–9	-0.06	15%	11 Aug →
overpass	8–8	-0.03	4%	11 Aug →
anubis	7–13	-0.01	29%	7 Aug →
ancient	13–5	0.12	23%	6 Aug →
dust2	13–9	0.04	11%	6 Aug →
anubis	10–13	0.06	12%	2 Aug →
mirage	13–3	0.16	22%	2 Aug →
anubis	13–5	0.05	17%	2 Aug →
cache	13–2	0.17	22%	1 Aug →
dust2	13–5	0.06	30%	1 Aug →
inferno	13–6	0.11	15%	1 Aug →
mirage	16–13	0.08	20%	1 Aug →
cache	13–9	0.01	18%	1 Aug →
inferno	13–8	0.02	7%	1 Aug →
mirage	13–2	0.03	17%	1 Aug →
inferno	13–7	0.08	16%	1 Aug →
dust2	13–7	0.09	15%	1 Aug →
nuke	7–9	0.04	17%	1 Aug →
inferno	5–9	-0.02	18%	1 Aug →
mirage	10–13	0.04	30%	30 Jul →
anubis	14–16	-0.02	22%	30 Jul →
mirage	13–7	-0.02	23%	30 Jul →
anubis	13–8	0.01	25%	30 Jul →
nuke	10–13	-0.06	22%	30 Jul →
anubis	11–13	-0.05	15%	29 Jul →
inferno	11–13	-0.03	27%	29 Jul →
mirage	5–13	0.01	32%	29 Jul →
cache	13–6	0.03	18%	29 Jul →
anubis	13–8	0.06	24%	29 Jul →
ancient	5–13	-0.02	28%	28 Jul →
inferno	6–13	-0.01	14%	28 Jul →
cache	5–13	-0.04	11%	28 Jul →
debris	9–7	0.06	29%	28 Jul →
inferno	5–9	-0.07	24%	28 Jul →
cache	9–13	-0.02	17%	27 Jul →
ancient	5–13	-0.03	20%	25 Jul →
inferno	15–15	0.08	18%	25 Jul →
ancient	6–13	-0.07	16%	24 Jul →
anubis	13–4	0.03	21%	24 Jul →
inferno	13–16	-0.01	21%	23 Jul →
cache	13–11	0.04	13%	23 Jul →
shelter	13–11	0.09	11%	23 Jul →
vertigo	13–5	0.02	11%	23 Jul →
cache	13–11	0.01	23%	22 Jul →
mirage	4–13	-0.05	6%	22 Jul →
inferno	8–13	0.01	16%	22 Jul →
inferno	13–10	0.04	14%	22 Jul →
anubis	5–13	0.02	18%	22 Jul →
inferno	13–9	0.04	18%	22 Jul →
inferno	8–8	0.06	48%	22 Jul →
debris	9–7	0.07	16%	22 Jul →
inferno	13–9	0.00	17%	21 Jul →
inferno	15–15	-0.00	25%	21 Jul →
ancient	5–13	-0.02	29%	20 Jul →
anubis	13–5	0.07	23%	20 Jul →
anubis	13–16	0.06	14%	20 Jul →
anubis	10–13	0.02	11%	18 Jul →
anubis	16–12	-0.01	6%	17 Jul →
inferno	16–13	0.02	20%	17 Jul →
cache	13–8	-0.02	19%	17 Jul →
inferno	15–15	0.01	8%	17 Jul →
inferno	7–13	0.01	14%	17 Jul →
cache	13–5	0.07	9%	17 Jul →
cache	10–13	-0.04	13%	17 Jul →
eldorado	9–5	0.04	27%	17 Jul →
inferno	9–13	-0.01	5%	14 Jul →
ancient	4–13	0.03	8%	14 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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