egz0tika — CS2 Stats

76561198197199991[U:1:236934263]✓ No bans

3,083Tracked matches45%Win rate2020Tracked since

5,490Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2721 of 18054 tracked

FaceitLevel 10 · 2,463 ELOTop 12.4% of ranked FACEIT players

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
Headshot rate	55.8%	52.8%
Shot accuracy	10.9%	13.7%
Kill/death ratio	1.08	1.08
Match win rate	50.5%	49.2%

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Performance scores

Aim87

Positioning54

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateLLWWWWWLLL

Last 10 vs previous 10: +10pp win rate · -0.08 avg rating

Player DNA

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

Aim8.7

Aggression7.7

Utility3.6

Positioning5.4

Opening Duels4.0

Clutch3.2

Sharp aimerLimited utility dependence

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 ropz 91% 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7

Positioning5.4

Utility3.6

Mechanics6.4

Opening Duels4.0

Win Impact3.3

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time526ms−93ms

first ⅓ avg 619ms → last ⅓ avg 526ms

Headshot accuracy30.0%−0.4%

first ⅓ avg 30.5% → last ⅓ avg 30.0%

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 — shelter 13–4

13–0Biggest win — mirage

5Longest win streak

L2Current streak

8–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 54% over 13infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	26	8–18	31%	0.02
mirage	B	24	11–13	46%	0.04
cache	B	13	7–6	54%	0.02
anubis	B	10	5–5	50%	0.02
nuke	C	8	3–5	38%	-0.01
ancient	D	6	2–4	33%	0.03
inferno	D	5	1–4	20%	0.03
train	—	3	1–2	33%	-0.01
shelter	—	2	2–0	100%	0.20
vertigo	—	1	0–1	0%	0.02
office	—	1	0–1	0%	-0.04
fachwerk	—	1	0–1	0%	0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

279,047Lifetime kills

1.08K/D · Top 50% of Level 10 players

10,102Matches

50.5%Match win rate · Top 50% of Level 10 players

55.8%Headshot % · Top 50% of Level 10 players

10.9%Shot accuracy

37,718MVPs

5,490Hours (in match)

7,284Bombs planted

2,571Bombs defused

Most-used weapons

AK-47109,689

M4A4 / M4A1-S53,151

Desert Eagle24,645

P2000 / USP-S18,171

AWP15,378

Glock-1812,348

FAMAS6,307

Galil AR5,546

Knife5,047

P903,708

Lifetime map wins

28,920dust2

9,024inferno

5,564nuke

4,698vertigo

1,942train

1,582office

429cbble

99lake

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

Faceit stats

Combat

1,989Matches

52%Win rate

1.15Avg K/D

89.4ADR

55%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	416	53%	1.16	18.1
Dust2	248	49%	1.17	18.5
Anubis	163	47%	1.13	17.5
Ancient	163	57%	1.13	17.6
Inferno	77	52%	1.08	17.1
Vertigo	59	56%	1.14	18.0
Nuke	58	45%	1.10	17.7
Train	24	46%	1.05	16.0

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.

30.4%Headshot accuracy

32.6%Accuracy (enemy spotted)

32.6%Spray accuracy

79.0%Counter-strafing

7.1°Preaim

535msReaction time

41.4%T opening success

50.4%CT opening success

0.67Enemies flashed / flash

6.9%Flash assists

5.11HE damage / grenade

4.84Flashes / match

Recommended for you

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	-0.05	54%	28 Aug →
ancient	9–13	0.03	26%	28 Aug →
cache	13–11	0.00	31%	28 Aug →
dust2	13–6	-0.04	47%	28 Aug →
mirage	13–4	-0.01	32%	28 Aug →
cache	13–10	-0.00	24%	28 Aug →
nuke	13–8	-0.06	23%	26 Aug →
dust2	7–13	-0.01	21%	26 Aug →
nuke	1–13	-0.09	15%	25 Aug →
ancient	11–13	-0.03	26%	25 Aug →
dust2	8–13	0.02	31%	25 Aug →
dust2	7–13	-0.03	39%	25 Aug →
cache	13–6	0.02	25%	25 Aug →
dust2	3–13	0.04	17%	25 Aug →
mirage	5–13	0.05	28%	25 Aug →
anubis	16–13	0.15	25%	25 Aug →
cache	12–12	0.06	42%	24 Aug →
shelter	13–9	0.19	41%	24 Aug →
inferno	13–10	0.09	31%	24 Aug →
anubis	9–13	-0.08	36%	24 Aug →
mirage	13–5	0.02	42%	24 Aug →
dust2	16–13	0.03	19%	23 Aug →
vertigo	6–13	0.02	18%	22 Aug →
cache	3–13	-0.09	50%	19 Aug →
mirage	2–13	-0.03	29%	19 Aug →
cache	6–4	0.05	8%	18 Aug →
dust2	5–13	0.05	27%	18 Aug →
mirage	16–12	0.09	39%	18 Aug →
dust2	6–13	0.04	34%	18 Aug →
inferno	10–13	0.10	27%	18 Aug →
train	1–4	-0.02	40%	18 Aug →
dust2	14–16	0.01	18%	18 Aug →
mirage	13–10	0.19	26%	18 Aug →
dust2	11–13	0.18	30%	18 Aug →
dust2	7–13	-0.05	28%	17 Aug →
cache	16–14	0.05	33%	17 Aug →
mirage	13–4	-0.00	33%	17 Aug →
ancient	13–11	0.16	29%	17 Aug →
mirage	13–3	0.05	29%	17 Aug →
inferno	10–13	-0.05	15%	13 Aug →
mirage	3–13	0.04	19%	13 Aug →
dust2	11–13	0.12	32%	10 Aug →
mirage	10–13	0.10	32%	10 Aug →
anubis	8–13	-0.04	19%	9 Aug →
dust2	16–14	0.05	29%	9 Aug →
mirage	5–13	-0.03	20%	9 Aug →
cache	13–8	0.04	31%	9 Aug →
mirage	13–7	0.03	30%	9 Aug →
cache	13–11	0.05	29%	9 Aug →
anubis	13–8	0.11	28%	9 Aug →
mirage	4–13	-0.01	21%	8 Aug →
ancient	11–13	0.04	30%	7 Aug →
train	13–11	0.00	22%	6 Aug →
inferno	8–13	-0.02	28%	6 Aug →
mirage	13–2	0.17	49%	6 Aug →
dust2	16–13	-0.01	24%	6 Aug →
mirage	7–13	-0.02	28%	3 Aug →
anubis	12–16	-0.01	28%	1 Aug →
nuke	8–13	-0.01	40%	1 Aug →
dust2	3–13	-0.07	32%	1 Aug →
mirage	13–5	0.07	23%	1 Aug →
mirage	13–0	-0.00	36%	31 Jul →
dust2	2–13	-0.00	30%	31 Jul →
anubis	16–14	0.05	35%	31 Jul →
mirage	13–3	0.06	22%	31 Jul →
dust2	13–4	-0.02	23%	31 Jul →
cache	9–13	-0.04	30%	31 Jul →
anubis	5–13	-0.04	29%	30 Jul →
mirage	15–15	0.04	27%	30 Jul →
nuke	13–10	0.12	33%	30 Jul →
dust2	6–13	0.00	35%	30 Jul →
cache	11–13	-0.03	32%	30 Jul →
anubis	8–13	-0.05	28%	30 Jul →
mirage	8–13	-0.02	17%	30 Jul →
nuke	13–5	0.06	23%	30 Jul →
cache	14–16	-0.03	27%	27 Jul →
mirage	7–13	0.01	24%	27 Jul →
anubis	16–12	-0.06	28%	27 Jul →
inferno	3–4	0.05	32%	27 Jul →
nuke	1–13	-0.10	50%	27 Jul →
ancient	0–13	-0.06	22%	27 Jul →
dust2	4–13	-0.01	24%	26 Jul →
train	5–13	-0.01	22%	26 Jul →
mirage	11–13	0.07	29%	26 Jul →
office	4–13	-0.04	31%	26 Jul →
fachwerk	12–12	0.14	27%	26 Jul →
shelter	13–4	0.20	37%	26 Jul →
dust2	9–13	0.11	37%	26 Jul →
cache	9–13	0.12	26%	26 Jul →
mirage	7–13	0.02	37%	26 Jul →
anubis	13–9	0.12	31%	26 Jul →
ancient	13–8	0.05	16%	26 Jul →
dust2	16–13	-0.01	25%	26 Jul →
mirage	6–13	-0.00	33%	26 Jul →
dust2	13–6	-0.04	50%	26 Jul →
dust2	1–2	0.11	23%	26 Jul →
dust2	1–13	-0.06	24%	26 Jul →
nuke	6–13	0.03	24%	26 Jul →
nuke	0–5	-0.05	60%	26 Jul →
dust2	13–2	0.04	44%	26 Jul →