ethan — CS2 Stats

76561198042467429[U:1:82201701]Steam profile ↗✓ No bans

1,856Tracked matches47%Win rate2020Tracked since

5,046Hours in CS17Hrs last 2 wks

CSDB Rating5.4 Developing

Premier CS Rating21,215Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#8516 of 23977 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median	Level 6 median	vs Level 6
Headshot rate	45.3%	44.2%	44.9%	meets
Shot accuracy	12.4%	11.2%	11.8%	above
Kill/death ratio	0.98	1.04	1.04	0.06 short
Match win rate	44.2%	45.3%	45.3%	1.0% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim58

Positioning56

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWWWLLLWLW

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Aim5.8

Aggression4.5

Utility5.9

Positioning5.6

Opening Duels1.9

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: opening-duel success, 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

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim5.8

Positioning5.6

Utility5.9

Mechanics6.2

Opening Duels1.9

Win Impact3.9

Composite 5.4/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time634ms−30ms

first ⅓ avg 664ms → last ⅓ avg 634ms

Headshot accuracy21.7%−3.7%

first ⅓ avg 25.4% → last ⅓ avg 21.7%

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 — mirage 13–2

13–1Biggest win — nuke

6Longest win streak

10–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 65% over 17infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	17	11–6	65%	0.01
ancient	A	15	9–6	60%	-0.01
anubis	C	14	5–9	36%	0.02
dust2	A	14	8–6	57%	0.01
cache	C	14	6–8	43%	0.01
mirage	A	14	9–5	64%	0.02
inferno	D	12	3–9	25%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,543Lifetime kills

0.98K/D

7,158Matches

44.2%Match win rate

45.3%Headshot % · Top 50% of Level 5 players

12.4%Shot accuracy · Top 50% of Level 5 players

17,843MVPs

3,876Hours (in match)

8,007Bombs planted

1,741Bombs defused

Most-used weapons

AK-4763,549

M4A4 / M4A1-S33,578

P2000 / USP-S7,375

FAMAS7,143

Galil AR6,172

Desert Eagle5,726

Glock-184,906

AWP3,971

P2502,932

P902,547

Lifetime map wins

18,235dust2

12,259inferno

7,626nuke

2,448train

1,966vertigo

655cbble

390office

79lake

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

Faceit stats

Combat

102Matches

45%Win rate

0.86Avg K/D

—ADR

38%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	0%	0.78	12.5
Mirage	1	100%	2.22	20.0
Anubis	1	0%	0.46	6.0

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.

21.2%Headshot accuracy

31.4%Accuracy (enemy spotted)

32.6%Spray accuracy

77.7%Counter-strafing

10.6°Preaim

631msReaction time

33.6%T opening success

41.2%CT opening success

0.55Enemies flashed / flash

3.2%Flash assists

10.23HE damage / grenade

9.70Flashes / 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 33.6229% — below the 40% mark we flag

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.

25% win rate across 12 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
ancient	10–13	0.00	20%	22 Aug →
inferno	13–8	0.03	31%	22 Aug →
nuke	13–3	0.02	27%	22 Aug →
anubis	13–10	0.07	23%	21 Aug →
inferno	10–13	0.03	18%	21 Aug →
dust2	3–13	-0.03	45%	21 Aug →
cache	10–13	0.04	27%	21 Aug →
nuke	13–8	0.06	21%	19 Aug →
dust2	11–13	0.01	20%	19 Aug →
cache	13–5	0.10	33%	19 Aug →
anubis	8–13	0.00	33%	19 Aug →
ancient	13–3	-0.04	14%	18 Aug →
dust2	13–6	0.04	20%	18 Aug →
mirage	4–13	-0.08	26%	18 Aug →
anubis	8–13	0.03	7%	18 Aug →
nuke	13–7	-0.03	19%	17 Aug →
dust2	13–9	0.08	24%	17 Aug →
cache	13–2	-0.00	20%	17 Aug →
mirage	13–9	0.03	11%	17 Aug →
ancient	13–11	-0.01	14%	17 Aug →
anubis	14–16	0.00	13%	16 Aug →
inferno	14–16	0.02	21%	16 Aug →
nuke	3–13	0.01	18%	15 Aug →
inferno	13–7	0.01	11%	15 Aug →
mirage	8–13	0.01	19%	15 Aug →
ancient	4–13	-0.06	16%	14 Aug →
cache	13–4	0.07	21%	14 Aug →
nuke	10–13	-0.01	20%	14 Aug →
anubis	9–13	0.03	29%	11 Aug →
dust2	7–13	-0.04	22%	11 Aug →
inferno	6–13	-0.04	28%	11 Aug →
cache	4–13	-0.04	21%	11 Aug →
anubis	3–13	0.00	23%	11 Aug →
nuke	7–13	-0.01	39%	10 Aug →
inferno	11–13	-0.08	13%	10 Aug →
ancient	16–12	0.06	30%	9 Aug →
mirage	13–11	0.02	29%	8 Aug →
nuke	9–13	-0.03	39%	8 Aug →
inferno	5–13	-0.07	17%	7 Aug →
nuke	10–13	-0.04	14%	7 Aug →
dust2	3–13	-0.08	15%	7 Aug →
nuke	13–8	-0.05	20%	6 Aug →
dust2	15–15	-0.04	24%	6 Aug →
mirage	4–13	-0.01	26%	6 Aug →
ancient	13–4	-0.07	21%	1 Aug →
anubis	9–13	0.02	17%	1 Aug →
ancient	13–4	-0.01	21%	1 Aug →
mirage	13–9	0.03	20%	1 Aug →
dust2	13–11	0.01	16%	1 Aug →
dust2	13–11	-0.04	18%	1 Aug →
nuke	13–10	0.11	24%	1 Aug →
ancient	6–13	-0.01	30%	31 Jul →
nuke	16–14	0.04	27%	31 Jul →
anubis	13–10	0.07	26%	31 Jul →
dust2	16–12	0.05	27%	31 Jul →
mirage	13–11	0.05	24%	31 Jul →
cache	8–13	0.01	15%	30 Jul →
anubis	6–13	-0.01	9%	30 Jul →
cache	13–11	0.02	9%	30 Jul →
dust2	6–13	-0.03	18%	27 Jul →
nuke	13–10	-0.05	20%	27 Jul →
cache	13–11	-0.08	30%	26 Jul →
cache	13–9	0.03	27%	26 Jul →
mirage	7–13	0.09	31%	26 Jul →
mirage	13–7	0.02	39%	25 Jul →
anubis	3–13	0.00	23%	25 Jul →
cache	9–13	-0.03	25%	23 Jul →
anubis	13–9	0.05	18%	23 Jul →
ancient	11–13	-0.00	19%	23 Jul →
dust2	16–14	0.06	24%	23 Jul →
inferno	4–13	0.03	22%	23 Jul →
ancient	13–9	0.01	27%	23 Jul →
nuke	10–13	-0.00	28%	22 Jul →
cache	13–16	-0.01	25%	22 Jul →
mirage	13–7	-0.03	33%	22 Jul →
nuke	13–9	0.02	25%	21 Jul →
ancient	9–13	-0.01	27%	20 Jul →
inferno	4–13	0.07	44%	20 Jul →
ancient	11–13	-0.01	25%	20 Jul →
mirage	13–2	0.08	27%	19 Jul →
dust2	13–9	0.04	27%	19 Jul →
mirage	3–13	-0.10	27%	19 Jul →
mirage	13–9	0.02	33%	19 Jul →
dust2	13–9	0.03	24%	19 Jul →
inferno	9–13	-0.02	24%	19 Jul →
mirage	13–2	0.18	29%	18 Jul →
nuke	13–1	0.06	29%	18 Jul →
ancient	13–10	0.01	19%	18 Jul →
anubis	13–6	0.03	23%	18 Jul →
anubis	13–4	0.02	24%	18 Jul →
nuke	13–2	0.01	30%	18 Jul →
cache	6–13	-0.02	30%	18 Jul →
nuke	13–8	0.04	30%	18 Jul →
ancient	13–10	-0.01	21%	18 Jul →
cache	10–13	-0.04	13%	12 Jul →
inferno	10–13	0.03	21%	12 Jul →
cache	1–13	0.03	24%	12 Jul →
anubis	13–16	-0.05	30%	11 Jul →
inferno	13–11	0.03	16%	11 Jul →
ancient	13–1	0.04	19%	11 Jul →