𝕱𝖑𝖆𝖒𝖊 † — CS2 Stats

AU76561198887588590[U:1:927322862]Steam profile ↗✓ No bans

4,332Tracked matches59%Win rate2020Tracked since

5,992Hours in CS15Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 9 · 2,152 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	vs Level 10
Headshot rate	55.9%	52.8%	above
Shot accuracy	14.6%	13.7%	above
Kill/death ratio	1.67	1.08	above
Match win rate	45.0%	49.2%	4.2% short

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

Widest gap: Match win rate. 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

Aim83

Positioning67

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWWWLWWLWLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.3

Aggression9.3

Utility6.2

Positioning6.7

Opening Duels4.3

Clutch3.2

Strong 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 jL 96% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 55% on CT to 39% 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

Aim8.3

Positioning6.7

Utility6.2

Mechanics7.0

Opening Duels4.3

Win Impact7.9

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time546ms−64ms

first ⅓ avg 610ms → last ⅓ avg 546ms

Headshot accuracy19.8%+0.4%

first ⅓ avg 19.4% → last ⅓ avg 19.8%

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

0.20Best rating — inferno 13–4

13–2Biggest win — anubis

5Longest win streak

W3Current streak

3–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 68% over 19dust2Weakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
anubis	S	19	13–6	68%	0.03
ancient	A	15	9–6	60%	0.00
dust2	D	15	4–11	27%	0.01
nuke	A	14	8–6	57%	-0.01
mirage	S	12	8–4	67%	0.02
cache	C	10	4–6	40%	0.01
inferno	B	6	3–3	50%	0.05
vertigo	—	4	1–3	25%	0.04
office	—	2	1–1	50%	-0.01
train	—	2	1–1	50%	-0.04
warden	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

270,634Lifetime kills

1.67K/D · Top 5% of tracked players

6,821Matches

45.0%Match win rate

55.9%Headshot % · Top 25% of tracked players

14.6%Shot accuracy · Top 50% of tracked players

17,486MVPs

5,725Hours (in match)

6,357Bombs planted

1,820Bombs defused

Most-used weapons

AK-47107,725

AWP39,149

Desert Eagle32,725

M4A4 / M4A1-S27,430

P2000 / USP-S11,693

UMP-456,703

MP95,829

Glock-185,790

MAC-104,188

Galil AR3,264

Lifetime map wins

11,241inferno

8,694dust2

4,576nuke

2,741vertigo

2,701train

1,508office

458cbble

88lake

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

Faceit stats

Combat

3,034Matches

49%Win rate

1.07Avg K/D

79.5ADR

37%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	398	51%	1.10	16.3
Ancient	369	46%	1.05	16.6
Anubis	260	49%	1.07	16.5
Dust2	168	55%	1.03	16.2
Nuke	155	52%	1.04	15.3
Inferno	152	43%	0.97	15.5
Train	57	47%	1.00	15.8
Overpass	26	27%	0.86	14.8

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.

18.3%Headshot accuracy

38.9%Accuracy (enemy spotted)

43.2%Spray accuracy

81.5%Counter-strafing

10.2°Preaim

541msReaction time

38.5%T opening success

55.5%CT opening success

0.56Enemies flashed / flash

14.5%Flash assists

6.29HE damage / grenade

14.29Flashes / 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 38.5205% — below the 40% mark we flag

Spend your practice time on Dust 2

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 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	-0.04	16%	28 Aug →
ancient	13–9	0.00	18%	28 Aug →
anubis	13–7	0.04	12%	28 Aug →
dust2	11–13	0.01	19%	28 Aug →
nuke	13–4	-0.08	24%	28 Aug →
cache	13–3	0.07	37%	27 Aug →
office	2–13	-0.07	25%	27 Aug →
nuke	13–6	0.03	19%	25 Aug →
mirage	7–13	-0.03	24%	25 Aug →
dust2	20–22	0.02	9%	25 Aug →
ancient	13–5	0.06	11%	24 Aug →
mirage	13–8	0.03	25%	19 Aug →
nuke	13–6	0.02	19%	17 Aug →
dust2	12–12	0.02	20%	12 Aug →
anubis	5–13	0.11	20%	12 Aug →
anubis	13–3	0.07	18%	12 Aug →
nuke	10–13	-0.03	20%	10 Aug →
anubis	13–10	-0.01	11%	10 Aug →
ancient	13–5	0.05	16%	10 Aug →
cache	6–13	-0.03	14%	9 Aug →
nuke	4–13	-0.07	22%	9 Aug →
ancient	8–13	-0.04	13%	5 Aug →
mirage	13–6	0.05	25%	5 Aug →
ancient	7–13	0.03	21%	29 Jul →
anubis	13–2	-0.04	12%	29 Jul →
nuke	9–13	0.03	20%	29 Jul →
cache	7–13	0.01	17%	29 Jul →
cache	13–4	0.01	29%	29 Jul →
anubis	13–6	0.17	17%	28 Jul →
anubis	13–4	0.04	18%	28 Jul →
dust2	6–13	-0.00	33%	28 Jul →
nuke	13–10	-0.03	19%	27 Jul →
dust2	13–10	0.04	35%	27 Jul →
vertigo	13–3	0.06	16%	27 Jul →
mirage	10–13	0.01	15%	27 Jul →
inferno	13–5	0.03	29%	27 Jul →
dust2	12–12	-0.02	18%	24 Jul →
mirage	11–13	-0.02	25%	24 Jul →
anubis	10–13	0.03	12%	24 Jul →
cache	13–7	-0.05	18%	23 Jul →
mirage	13–7	-0.11	20%	23 Jul →
dust2	13–9	-0.05	20%	23 Jul →
anubis	13–8	0.03	25%	23 Jul →
anubis	13–10	0.01	26%	22 Jul →
cache	9–13	-0.03	20%	20 Jul →
train	13–8	-0.05	25%	20 Jul →
vertigo	12–12	0.01	14%	20 Jul →
inferno	5–13	-0.02	15%	20 Jul →
nuke	13–10	-0.00	12%	20 Jul →
anubis	13–7	-0.02	20%	20 Jul →
mirage	13–3	0.01	14%	20 Jul →
ancient	13–8	-0.02	19%	15 Jul →
nuke	4–13	0.10	24%	15 Jul →
mirage	13–16	0.02	23%	15 Jul →
anubis	13–2	0.09	17%	15 Jul →
ancient	13–6	-0.04	22%	14 Jul →
anubis	0–3	-0.08	0%	14 Jul →
ancient	13–5	0.10	16%	13 Jul →
anubis	12–16	0.01	15%	10 Jul →
anubis	9–13	-0.01	15%	10 Jul →
mirage	13–7	-0.01	13%	8 Jul →
inferno	13–4	0.20	18%	7 Jul →
ancient	13–7	0.04	9%	7 Jul →
mirage	13–3	0.15	17%	7 Jul →
cache	5–13	-0.00	15%	7 Jul →
anubis	12–12	0.02	29%	7 Jul →
ancient	13–11	-0.02	21%	5 Jul →
nuke	13–4	-0.01	25%	5 Jul →
dust2	5–13	-0.08	26%	23 Jun →
train	8–13	-0.04	21%	23 Jun →
vertigo	10–13	0.12	26%	23 Jun →
nuke	3–13	-0.02	13%	17 Jun →
dust2	3–6	-0.01	27%	16 Jun →
cache	13–11	0.11	25%	12 Jun →
nuke	13–6	0.02	14%	12 Jun →
dust2	12–12	-0.02	8%	11 Jun →
inferno	9–13	-0.02	19%	8 Jun →
vertigo	11–13	-0.02	13%	7 Jun →
mirage	13–5	0.08	29%	3 Jun →
ancient	10–13	-0.01	30%	1 Jun →
ancient	7–13	-0.04	19%	1 Jun →
anubis	13–4	-0.00	10%	28 May →
anubis	13–7	-0.01	26%	28 May →
anubis	13–5	0.03	18%	27 May →
dust2	13–8	0.02	10%	22 May →
cache	8–13	-0.05	15%	22 May →
ancient	8–13	0.01	19%	21 May →
ancient	3–13	-0.06	15%	21 May →
dust2	11–13	0.06	26%	21 May →
inferno	9–13	0.04	14%	20 May →
dust2	9–13	0.04	12%	20 May →
nuke	11–13	-0.05	11%	19 May →
mirage	13–9	0.06	23%	19 May →
dust2	13–5	0.02	21%	19 May →
inferno	13–9	0.04	23%	19 May →
ancient	13–10	-0.01	24%	19 May →
office	13–3	0.06	39%	19 May →
cache	3–13	0.03	18%	18 May →
dust2	7–13	0.03	14%	18 May →
warden	13–11	0.07	9%	18 May →