exx — CS2 Stats

76561198032232665[U:1:71966937]Steam profile ↗✓ No bans

1,036Tracked matches43%Win rate2020Tracked since

3,407Hours in CS

CSDB Rating7.4 StrongAggressive Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

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	45.1%	48.4%	51.7%	6.5% short
Shot accuracy	14.8%	13.2%	13.8%	above
Kill/death ratio	0.98	1.08	1.09	0.10 short
Match win rate	34.9%	47.0%	48.7%	13.8% short

This profile matches the typical Level 10 player on 1 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

Aim93

Positioning71

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateWWWLLLWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim9.3

Aggression9.9

Utility7.3

Positioning7.1

Opening Duels4.6

Clutch5.4

Sharp aimerExcellent counter-strafingStrong 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 99% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 38% 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

Aim9.3

Positioning7.1

Utility7.3

Mechanics8.7

Opening Duels4.6

Win Impact2.8

Composite 7.4/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time536ms−37ms

first ⅓ avg 573ms → last ⅓ avg 536ms

Headshot accuracy20.1%−0.2%

first ⅓ avg 20.3% → last ⅓ avg 20.1%

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 — inferno 13–4

13–1Biggest win — cache

7Longest win streak

W3Current streak

5–13In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 80% over 5mirageWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	30	11–19	37%	0.04
ancient	D	21	7–14	33%	0.05
nuke	D	15	5–10	33%	0.01
mirage	D	11	3–8	27%	0.01
dust2	C	10	4–6	40%	0.03
cache	S	5	4–1	80%	0.05
overpass	—	4	1–3	25%	0.01
anubis	—	3	0–3	0%	-0.01
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

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

Lifetime stats

138,906Lifetime kills

0.98K/D

11,241Matches

34.9%Match win rate

45.1%Headshot %

14.8%Shot accuracy · Top 50% of Level 9 players

19,038MVPs

3,407Hours (in match)

8,039Bombs planted

1,845Bombs defused

Most-used weapons

AK-4738,199

AWP22,683

M4A4 / M4A1-S18,647

P2000 / USP-S10,042

Desert Eagle8,475

Glock-185,417

P2503,467

Knife2,921

SSG 082,574

Five-SeveN2,384

Lifetime map wins

12,503dust2

11,963inferno

4,171nuke

3,441train

1,530vertigo

1,508cbble

748office

343lake

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

Faceit stats

Combat

936Matches

52%Win rate

1.25Avg K/D

81.5ADR

36%Headshot %

Clutches & streaks

47%1v1 clutch win

21%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	50%	1.02	15.5
Mirage	6	100%	1.80	21.3
Inferno	4	75%	1.08	18.5
Anubis	3	67%	0.79	10.7
Ancient	3	67%	1.46	20.3
Nuke	2	50%	1.88	23.0

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.

20.2%Headshot accuracy

39.6%Accuracy (enemy spotted)

43.6%Spray accuracy

89.2%Counter-strafing

7.7°Preaim

526msReaction time

37.7%T opening success

59.4%CT opening success

0.65Enemies flashed / flash

13.8%Flash assists

9.36HE damage / grenade

18.44Flashes / 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 37.6855% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	-0.01	16%	24 Aug →
inferno	13–9	0.08	28%	24 Aug →
ancient	13–11	0.05	17%	21 Aug →
inferno	14–16	-0.03	17%	5 Aug →
ancient	8–13	0.07	19%	3 Aug →
ancient	6–13	0.15	15%	1 Aug →
inferno	13–5	0.11	36%	1 Aug →
cache	13–10	0.12	19%	1 Aug →
mirage	7–13	-0.06	16%	20 Jul →
cache	13–1	0.13	40%	20 Jul →
nuke	5–13	0.08	28%	12 Jul →
mirage	11–13	0.04	13%	11 Jul →
cache	13–9	0.08	23%	11 Jul →
inferno	2–13	-0.01	11%	11 Jul →
inferno	7–13	-0.03	25%	6 Jul →
overpass	5–13	-0.02	28%	6 Jul →
dust2	13–10	0.08	29%	2 Jul →
ancient	12–16	0.05	18%	2 Jul →
inferno	13–8	0.07	19%	2 Jul →
nuke	16–14	0.06	21%	27 Jun →
dust2	3–13	0.11	19%	27 Jun →
ancient	13–16	0.07	17%	27 Jun →
ancient	11–13	0.02	20%	27 Jun →
nuke	13–9	0.09	17%	26 Jun →
dust2	11–13	0.01	19%	26 Jun →
inferno	8–13	0.04	18%	26 Jun →
ancient	8–13	0.00	14%	26 Jun →
inferno	13–9	0.07	23%	24 Jun →
mirage	13–5	0.03	21%	15 Jun →
mirage	11–13	-0.01	16%	15 Jun →
mirage	3–13	-0.09	14%	15 Jun →
nuke	15–15	-0.02	20%	14 Jun →
overpass	15–15	0.04	11%	14 Jun →
ancient	13–10	0.01	11%	5 Jun →
ancient	13–11	0.07	16%	3 Jun →
mirage	11–13	0.05	26%	2 Jun →
mirage	8–13	-0.01	20%	28 May →
anubis	7–13	-0.01	22%	26 May →
nuke	8–13	-0.02	39%	26 May →
dust2	11–13	-0.06	26%	26 May →
inferno	2–13	0.10	19%	10 May →
cache	8–13	-0.06	17%	29 Apr →
anubis	3–13	-0.01	25%	21 Apr →
inferno	13–10	0.05	26%	19 Apr →
nuke	6–13	-0.08	23%	18 Apr →
inferno	13–8	-0.02	30%	18 Apr →
inferno	8–13	-0.03	17%	18 Apr →
mirage	10–13	-0.01	20%	18 Apr →
mirage	6–13	0.05	16%	17 Apr →
mirage	13–10	0.07	18%	17 Apr →
inferno	10–13	0.03	34%	17 Apr →
nuke	15–15	0.02	19%	8 Apr →
dust2	15–15	-0.02	27%	8 Apr →
ancient	13–10	0.06	11%	6 Apr →
inferno	2–13	-0.10	11%	6 Apr →
ancient	14–16	0.08	26%	6 Apr →
ancient	13–10	0.04	17%	5 Apr →
ancient	15–15	0.03	13%	5 Apr →
inferno	13–8	0.08	22%	5 Apr →
inferno	13–8	0.04	16%	16 Mar →
inferno	13–6	0.16	24%	6 Mar →
anubis	4–13	-0.01	11%	1 Mar →
ancient	6–13	0.05	17%	1 Mar →
nuke	13–4	0.16	17%	29 Jan →
inferno	13–4	0.21	25%	29 Jan →
ancient	13–10	0.04	17%	19 Jan →
dust2	13–9	-0.01	22%	9 Jan →
overpass	13–11	0.03	19%	8 Jan →
nuke	13–5	0.01	0%	8 Jan →
ancient	13–3	0.19	17%	6 Jan →
ancient	6–13	0.03	22%	6 Jan →
inferno	3–13	0.05	26%	3 Jan →
ancient	6–13	0.06	23%	3 Jan →
nuke	4–13	-0.03	15%	2 Jan →
inferno	6–13	0.01	13%	2 Jan →
dust2	13–7	0.07	24%	2 Jan →
train	13–8	0.09	19%	2 Jan →
inferno	3–13	-0.01	14%	2 Jan →
overpass	7–13	-0.01	38%	1 Jan →
inferno	13–16	0.12	20%	1 Jan →
dust2	10–13	0.02	7%	1 Jan →
dust2	13–7	0.11	14%	1 Jan →
nuke	11–13	-0.02	34%	23 Dec →
nuke	16–14	0.02	38%	22 Dec →
dust2	11–13	0.01	18%	20 Dec →
nuke	3–13	-0.03	15%	20 Dec →
inferno	6–13	-0.00	29%	18 Dec →
nuke	7–13	-0.07	31%	5 Dec →
ancient	9–13	0.03	23%	30 Nov →
inferno	13–10	-0.04	20%	26 Nov →
inferno	7–13	0.02	26%	23 Nov →
inferno	9–13	0.09	21%	23 Nov →
ancient	11–13	0.02	20%	18 Nov →
inferno	7–13	-0.01	8%	18 Nov →
inferno	10–13	-0.02	19%	18 Nov →
ancient	6–13	0.01	24%	18 Nov →
nuke	11–13	0.05	10%	18 Nov →
inferno	14–16	0.03	22%	14 Nov →
mirage	13–7	0.04	12%	10 Nov →
inferno	6–13	0.05	31%	10 Nov →