egg wuh — CS2 Stats

US76561198136315797[U:1:176050069]Steam profile ↗✓ No bans

979Tracked matches60%Win rate2020Tracked since

5,257Hours in CS54Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating27,195Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#606 of 11866 tracked

FaceitLevel 10Top 12.4% 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
Headshot rate	43.5%	52.8%
Shot accuracy	17.4%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	45.5%	49.2%

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Performance scores

Aim85

Positioning60

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateWLWWLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.5

Aggression9.0

Utility6.8

Positioning6.0

Opening Duels4.8

Clutch4.6

Sharp aimer

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: utility contribution, 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 85 — the mechanical foundation is a clear strength.

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

Aim8.5

Positioning6.0

Utility6.8

Mechanics6.0

Opening Duels4.8

Win Impact8.3

Composite 7.3/10 (Strong), 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 rating0.02−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time503ms−59ms

first ⅓ avg 563ms → last ⅓ avg 503ms

Headshot accuracy17.5%−1.5%

first ⅓ avg 19.0% → last ⅓ avg 17.5%

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 13–7

13–1Biggest win — mirage

7Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 71% over 17dust2Weakest map · 50% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	11–7	61%	0.06
inferno	S	17	12–5	71%	0.06
ancient	A	16	9–7	56%	0.03
cache	S	13	9–4	69%	0.04
dust2	B	10	5–5	50%	0.02
anubis	A	9	5–4	56%	0.03
nuke	S	9	6–3	67%	0.06
overpass	A	5	3–2	60%	0.04
train	—	3	2–1	67%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,951Lifetime kills

1.16K/D · Top 50% of Level 10 players

4,767Matches

45.5%Match win rate

43.5%Headshot %

17.4%Shot accuracy · Top 25% of Level 10 players

14,046MVPs

2,750Hours (in match)

6,810Bombs planted

2,933Bombs defused

Most-used weapons

AK-4751,757

M4A4 / M4A1-S26,971

AWP14,803

P2000 / USP-S9,544

Glock-184,376

Desert Eagle3,717

SG 5533,596

P2502,833

Knife1,888

UMP-451,837

Lifetime map wins

8,407inferno

8,224dust2

3,227train

2,566cbble

2,557nuke

388vertigo

108lake

37ar_shoots

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

Faceit stats

Combat

261Matches

58%Win rate

1.19Avg K/D

82.7ADR

42%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	75%	1.38	17.7
Dust2	22	36%	1.13	16.1
Inferno	13	38%	1.03	15.2
Cache	12	58%	0.92	13.3
Ancient	8	88%	1.28	18.5
Nuke	3	33%	1.29	16.7
Anubis	2	50%	1.08	13.5

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.

17.2%Headshot accuracy

39.2%Accuracy (enemy spotted)

45.3%Spray accuracy

77.2%Counter-strafing

9.0°Preaim

508msReaction time

50.4%T opening success

48.1%CT opening success

0.67Enemies flashed / flash

8.2%Flash assists

13.71HE damage / grenade

9.84Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	0.01	16%	27 Aug →
mirage	9–13	0.04	12%	27 Aug →
ancient	13–7	0.09	19%	25 Aug →
dust2	13–7	0.02	24%	25 Aug →
mirage	16–19	0.04	10%	23 Aug →
ancient	13–4	-0.02	8%	22 Aug →
dust2	11–13	0.01	17%	22 Aug →
ancient	8–13	-0.07	19%	21 Aug →
dust2	13–5	0.03	18%	20 Aug →
dust2	13–7	0.03	19%	19 Aug →
dust2	2–13	-0.00	18%	19 Aug →
dust2	11–13	-0.06	15%	18 Aug →
inferno	13–5	0.09	16%	16 Aug →
cache	3–13	-0.04	28%	13 Aug →
dust2	5–13	-0.05	33%	12 Aug →
inferno	10–13	0.02	14%	12 Aug →
inferno	13–2	0.05	11%	10 Aug →
mirage	13–2	0.10	11%	10 Aug →
cache	13–7	0.01	19%	9 Aug →
inferno	13–7	0.00	23%	9 Aug →
inferno	5–13	0.02	9%	8 Aug →
ancient	8–13	-0.02	16%	8 Aug →
mirage	13–7	0.01	17%	5 Aug →
mirage	13–4	0.02	22%	4 Aug →
mirage	13–10	-0.01	14%	31 Jul →
cache	13–7	-0.02	17%	31 Jul →
inferno	13–4	0.03	19%	31 Jul →
anubis	13–7	0.11	16%	31 Jul →
inferno	13–2	0.06	18%	30 Jul →
inferno	7–13	0.03	24%	29 Jul →
dust2	13–11	0.04	16%	29 Jul →
anubis	5–13	-0.02	20%	28 Jul →
cache	8–13	0.02	19%	28 Jul →
nuke	13–6	0.03	20%	28 Jul →
mirage	13–1	0.17	9%	23 Jul →
mirage	9–13	0.04	21%	23 Jul →
inferno	13–1	0.03	5%	23 Jul →
ancient	2–13	-0.05	17%	20 Jul →
train	4–13	-0.00	15%	20 Jul →
anubis	11–13	0.02	27%	11 Jul →
ancient	13–6	0.10	25%	11 Jul →
mirage	6–13	0.03	20%	11 Jul →
nuke	13–6	0.15	28%	5 Jul →
mirage	13–4	0.13	22%	4 Jul →
anubis	6–13	-0.02	14%	4 Jul →
inferno	13–9	0.16	17%	3 Jul →
train	13–4	0.04	18%	3 Jul →
ancient	6–13	0.04	24%	3 Jul →
mirage	13–4	0.13	19%	29 Jun →
nuke	11–13	-0.00	19%	29 Jun →
inferno	13–9	0.18	18%	29 Jun →
anubis	13–3	0.04	16%	29 Jun →
cache	13–8	-0.03	20%	29 Jun →
overpass	13–7	0.07	25%	29 Jun →
mirage	13–7	-0.03	30%	28 Jun →
ancient	6–13	-0.01	21%	28 Jun →
overpass	7–13	-0.02	28%	28 Jun →
cache	13–6	0.17	38%	28 Jun →
ancient	13–8	0.04	15%	28 Jun →
nuke	4–13	-0.02	28%	28 Jun →
anubis	13–9	0.03	24%	23 Jun →
train	13–3	0.10	20%	22 Jun →
overpass	3–13	0.00	18%	22 Jun →
mirage	11–13	0.04	22%	16 Jun →
ancient	13–11	-0.02	16%	16 Jun →
inferno	13–7	0.20	22%	14 Jun →
cache	13–9	0.05	10%	13 Jun →
nuke	10–1	0.09	20%	13 Jun →
dust2	12–12	0.07	15%	13 Jun →
anubis	13–5	0.03	9%	10 Jun →
mirage	12–12	0.11	21%	8 Jun →
ancient	13–2	0.05	16%	8 Jun →
nuke	13–8	0.15	31%	7 Jun →
mirage	13–8	0.11	19%	7 Jun →
ancient	6–13	0.08	21%	7 Jun →
overpass	13–1	0.06	14%	7 Jun →
cache	2–13	-0.04	32%	7 Jun →
inferno	8–13	0.04	24%	7 Jun →
overpass	13–8	0.08	15%	6 Jun →
cache	13–5	0.11	31%	6 Jun →
ancient	13–8	0.18	14%	6 Jun →
nuke	13–6	0.06	5%	6 Jun →
mirage	13–1	0.19	15%	6 Jun →
inferno	9–4	0.03	11%	6 Jun →
nuke	13–2	-0.01	6%	4 Jun →
inferno	8–13	0.05	28%	27 May →
mirage	3–13	-0.02	32%	27 May →
anubis	7–13	0.01	14%	27 May →
anubis	13–8	0.06	20%	24 May →
inferno	13–7	0.02	14%	23 May →
ancient	6–13	0.04	26%	23 May →
dust2	13–5	0.08	24%	22 May →
ancient	13–8	0.01	12%	22 May →
ancient	13–10	0.10	18%	19 May →
cache	13–6	0.13	17%	19 May →
nuke	9–13	0.10	24%	18 May →
cache	13–11	0.06	22%	18 May →
inferno	13–6	-0.02	15%	18 May →
cache	10–13	-0.02	13%	18 May →
cache	13–9	0.09	31%	18 May →