𝙆𝙀𝙄𝙕✷ — CS2 Stats

TW76561198853069369[U:1:892803641]Steam profile ↗✓ No bans

1,253Tracked matches67%Win rate2023Tracked since

1,807Hours in CS31Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

FaceitLevel 9 · 1,967 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=2,911), 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	48.7%	48.4%	51.7%	3.0% short
Shot accuracy	2.0%	13.2%	13.8%	11.7% short
Kill/death ratio	1.30	1.08	1.09	above
Match win rate	66.5%	47.0%	48.7%	above

This profile matches the typical Level 10 player on 2 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

Aim84

Positioning63

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY83–16–1Last 10083%Win rateWWWWLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.06 avg rating

Player DNA

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

Aim8.4

Aggression8.5

Utility7.0

Positioning6.3

Opening Duels4.0

Clutch2.4

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 device 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 59% on CT to 33% 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

Aim8.4

Positioning6.3

Utility7.0

Mechanics7.1

Opening Duels4.0

Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time536ms−23ms

first ⅓ avg 559ms → last ⅓ avg 536ms

Headshot accuracy21.4%+3.6%

first ⅓ avg 17.9% → 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 — dust2 13–1

13–0Biggest win — nuke

28Longest win streak

W4Current streak

2Overtime games

Map breakdown

nukeBest map · 100% over 8anubisWeakest map · 67% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	23	18–5	78%	0.04
mirage	S	20	16–4	80%	0.02
ancient	S	13	11–2	85%	0.04
cache	S	11	10–1	91%	0.04
anubis	S	9	6–3	67%	0.03
nuke	S	8	8–0	100%	0.06
overpass	S	5	5–0	100%	0.02
train	—	4	4–0	100%	0.03
dust2	—	4	2–2	50%	0.05
vertigo	—	3	3–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (67% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,763Lifetime kills

1.30K/D · Top 25% of Level 9 players

2,849Matches

66.5%Match win rate · Top 5% of Level 9 players

48.7%Headshot % · Top 50% of Level 9 players

2.0%Shot accuracy

7,720MVPs

997Hours (in match)

2,624Bombs planted

744Bombs defused

Most-used weapons

AK-4724,010

M4A4 / M4A1-S12,204

P2000 / USP-S4,281

AWP3,089

Glock-181,787

Desert Eagle1,698

MP91,143

MAC-101,097

Five-SeveN908

Galil AR663

Lifetime map wins

6,174inferno

2,443dust2

2,041vertigo

1,954nuke

771train

146office

118italy

74cbble

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

Faceit stats

Combat

110Matches

68%Win rate

1.39Avg K/D

86.7ADR

42%Headshot %

Clutches & streaks

32%1v1 clutch win

27%1v2 clutch win

15Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	67%	1.35	17.2
Inferno	25	72%	1.23	18.6
Anubis	17	71%	1.56	18.3
Ancient	14	71%	1.51	19.1
Vertigo	8	62%	1.24	17.6
Overpass	4	75%	1.60	18.3
Dust2	4	50%	1.11	17.0
Nuke	2	50%	2.56	25.0

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.

20.1%Headshot accuracy

37.5%Accuracy (enemy spotted)

40.8%Spray accuracy

81.9%Counter-strafing

9.6°Preaim

520msReaction time

33.2%T opening success

58.7%CT opening success

0.54Enemies flashed / flash

13.2%Flash assists

8.82HE damage / grenade

12.77Flashes / 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 33.22% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	0.06	26%	29 Aug →
cache	13–7	0.07	22%	26 Aug →
anubis	13–2	-0.01	19%	19 Aug →
inferno	13–4	-0.04	10%	19 Aug →
mirage	10–13	-0.06	11%	19 Aug →
mirage	4–13	-0.05	54%	16 Aug →
mirage	11–13	0.01	13%	16 Aug →
anubis	13–3	-0.02	19%	16 Aug →
inferno	10–13	0.03	16%	14 Aug →
mirage	13–3	-0.05	15%	14 Aug →
mirage	13–6	0.06	15%	14 Aug →
inferno	13–3	0.02	26%	14 Aug →
ancient	10–13	0.07	28%	5 Aug →
mirage	13–3	0.07	14%	5 Aug →
ancient	13–11	0.03	15%	4 Aug →
vertigo	13–6	0.01	4%	29 Jul →
mirage	13–10	0.09	6%	24 Jul →
inferno	9–13	0.03	22%	23 Jul →
cache	13–1	0.12	28%	23 Jul →
train	13–5	0.07	33%	22 Jul →
anubis	13–3	0.02	29%	21 Jul →
nuke	13–1	0.08	13%	11 Jul →
inferno	13–2	0.11	26%	3 Jul →
ancient	12–16	0.05	18%	3 Jul →
anubis	0–3	0.04	43%	1 Jul →
inferno	12–16	-0.03	18%	1 Jul →
mirage	13–2	0.10	25%	25 Jun →
anubis	9–13	0.06	17%	25 Jun →
ancient	13–7	0.05	18%	24 Jun →
inferno	13–2	0.02	36%	24 Jun →
inferno	13–3	0.03	22%	24 Jun →
mirage	13–11	0.02	14%	22 Jun →
train	13–3	0.04	32%	22 Jun →
overpass	13–7	0.01	13%	22 Jun →
inferno	13–2	0.13	26%	22 Jun →
nuke	13–0	0.15	26%	14 Jun →
inferno	13–2	0.08	23%	14 Jun →
anubis	10–13	-0.02	14%	10 Jun →
ancient	13–11	-0.04	9%	10 Jun →
vertigo	13–6	0.08	6%	6 Jun →
mirage	13–6	0.01	21%	3 Jun →
overpass	4–1	-0.06	10%	3 Jun →
vertigo	13–3	-0.02	14%	3 Jun →
ancient	13–4	0.13	12%	2 Jun →
mirage	7–13	-0.08	11%	2 Jun →
inferno	13–5	-0.02	18%	26 May →
mirage	13–10	0.01	16%	26 May →
ancient	13–7	-0.02	17%	26 May →
inferno	13–10	0.03	15%	23 May →
ancient	13–3	0.01	17%	23 May →
cache	7–13	-0.06	10%	23 May →
train	13–4	-0.04	16%	19 May →
mirage	13–8	0.04	22%	19 May →
inferno	13–2	0.14	32%	19 May →
mirage	13–3	0.02	24%	18 May →
cache	13–4	-0.02	26%	18 May →
nuke	13–5	-0.01	7%	17 May →
cache	13–7	-0.04	17%	17 May →
overpass	13–3	0.05	10%	17 May →
nuke	13–2	0.00	19%	17 May →
ancient	13–10	0.03	10%	16 May →
cache	13–6	0.09	23%	16 May →
overpass	13–2	0.09	15%	16 May →
nuke	13–5	0.00	18%	16 May →
cache	13–9	0.11	10%	15 May →
inferno	13–3	0.08	28%	14 May →
cache	13–5	0.06	23%	14 May →
nuke	13–4	0.06	11%	14 May →
cache	13–8	0.04	20%	7 May →
mirage	13–0	0.06	8%	7 May →
dust2	13–1	0.18	25%	3 May →
anubis	13–4	0.10	20%	3 May →
inferno	13–1	0.16	35%	3 May →
ancient	13–4	0.11	19%	3 May →
cache	13–6	0.03	11%	3 May →
mirage	13–5	-0.04	16%	3 May →
inferno	13–9	-0.04	11%	28 Apr →
nuke	13–6	0.05	17%	25 Apr →
inferno	13–3	0.14	17%	25 Apr →
inferno	8–13	-0.06	12%	25 Apr →
ancient	13–10	0.02	21%	25 Apr →
ancient	13–4	0.01	10%	19 Apr →
inferno	13–2	0.04	14%	19 Apr →
anubis	13–8	-0.00	15%	19 Apr →
inferno	6–13	0.00	25%	17 Apr →
dust2	6–13	-0.04	18%	17 Apr →
train	13–1	0.06	27%	17 Apr →
inferno	13–5	-0.03	14%	15 Apr →
mirage	13–0	0.12	35%	15 Apr →
dust2	13–2	0.07	17%	15 Apr →
inferno	13–2	0.15	16%	7 Apr →
mirage	13–0	0.02	19%	7 Apr →
anubis	13–6	0.11	14%	7 Apr →
nuke	13–8	0.11	13%	7 Apr →
mirage	13–1	0.08	13%	7 Apr →
mirage	13–3	0.01	23%	31 Mar →
dust2	12–12	0.00	21%	31 Mar →
inferno	13–10	0.02	27%	19 Mar →
ancient	13–10	0.02	13%	19 Mar →
overpass	13–8	0.04	15%	18 Mar →