ernie suds — CS2 Stats

76561198242424882[U:1:282159154]

3,102Tracked matches53%Win rate2023Tracked since

1,648Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating11,361Blue band · top ~47.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning60

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateLLLWWWWLWW

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

Player DNA

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

Aim8.5

Aggression8.4

Utility3.5

Positioning6.0

Opening Duels4.2

Clutch4.8

Sharp aimerStrong 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 ropz 91% 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim8.5

Positioning6.0

Utility3.5

Mechanics7.8

Opening Duels4.2

Win Impact6.1

Composite 6.2/10 (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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time609ms+28ms

first ⅓ avg 581ms → last ⅓ avg 609ms

Headshot accuracy16.3%−3.0%

first ⅓ avg 19.3% → last ⅓ avg 16.3%

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

0.23Best rating — mirage 13–6

13–1Biggest win — mirage

4Longest win streak

L3Current streak

5–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 63% over 24nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	24	15–9	63%	0.03
mirage	B	20	10–10	50%	0.05
ancient	A	13	8–5	62%	0.05
anubis	C	11	4–7	36%	0.06
inferno	D	9	2–7	22%	0.02
dust2	C	9	4–5	44%	0.02
nuke	D	5	1–4	20%	0.02
train	—	4	2–2	50%	0.09
vertigo	—	3	2–1	67%	0.07
overpass	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

84,033Lifetime kills

1.07K/D · Top 50% of tracked players

4,305Matches

40.4%Match win rate

48.1%Headshot % · Top 50% of tracked players

1.7%Shot accuracy

8,601MVPs

1,648Hours (in match)

4,277Bombs planted

1,089Bombs defused

Most-used weapons

AK-4737,703

M4A4 / M4A1-S15,211

AWP9,272

P2000 / USP-S4,279

Glock-184,175

Desert Eagle3,142

Galil AR1,796

MP91,540

MAC-101,265

FAMAS787

Lifetime map wins

4,386nuke

4,083dust2

3,903vertigo

2,685inferno

1,825train

127office

19italy

16ar_shoots

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

Faceit stats

Combat

337Matches

48%Win rate

0.97Avg K/D

79.6ADR

41%Headshot %

Clutches & streaks

44%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	102	52%	0.95	13.9
Anubis	48	40%	0.89	14.3
Vertigo	46	50%	1.01	14.5
Ancient	35	43%	1.11	15.0
Nuke	35	46%	0.89	13.2
Inferno	30	53%	0.99	13.8
Dust2	19	53%	1.20	17.1
Overpass	16	50%	0.67	11.7

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.

15.7%Headshot accuracy

44.4%Accuracy (enemy spotted)

44.2%Spray accuracy

84.9%Counter-strafing

9.5°Preaim

610msReaction time

36.3%T opening success

57.2%CT opening success

0.46Enemies flashed / flash

4.7%Flash assists

7.12HE damage / grenade

6.17Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4566 — below the 0.5 mark we flag
Grenade Lineups →
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 36.3316% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	1–12	-0.04	33%	26 Jul →
inferno	10–13	0.02	16%	26 Jul →
anubis	7–13	0.01	16%	26 Jul →
anubis	13–5	0.15	21%	25 Jul →
mirage	13–10	0.11	8%	25 Jul →
ancient	13–2	0.10	20%	25 Jul →
mirage	13–9	0.08	6%	25 Jul →
mirage	7–13	0.03	15%	25 Jul →
cache	13–6	0.10	21%	25 Jul →
mirage	13–4	0.06	24%	25 Jul →
cache	5–13	-0.01	16%	24 Jul →
anubis	13–16	-0.00	14%	20 Jul →
cache	13–6	0.03	6%	20 Jul →
anubis	13–6	0.10	13%	20 Jul →
cache	13–3	0.14	23%	20 Jul →
ancient	13–6	0.13	17%	19 Jul →
mirage	11–13	-0.02	20%	19 Jul →
mirage	9–13	0.08	11%	19 Jul →
cache	13–2	-0.01	14%	19 Jul →
mirage	3–13	-0.04	17%	19 Jul →
nuke	13–10	0.08	16%	19 Jul →
dust2	2–13	-0.02	18%	19 Jul →
nuke	9–13	0.00	15%	19 Jul →
mirage	10–13	0.02	14%	13 Jul →
dust2	13–8	-0.01	10%	12 Jul →
mirage	13–6	0.23	18%	12 Jul →
cache	13–11	-0.02	20%	12 Jul →
ancient	13–4	0.07	25%	12 Jul →
cache	9–13	0.01	10%	12 Jul →
anubis	9–13	0.19	15%	11 Jul →
mirage	10–13	0.05	13%	11 Jul →
inferno	11–13	0.01	12%	11 Jul →
cache	13–9	0.06	21%	11 Jul →
nuke	9–13	0.05	13%	6 Jul →
ancient	14–16	-0.02	9%	5 Jul →
ancient	13–5	0.05	21%	5 Jul →
ancient	9–13	-0.01	16%	5 Jul →
inferno	7–13	-0.05	9%	5 Jul →
overpass	6–13	0.03	8%	5 Jul →
inferno	12–12	0.02	17%	5 Jul →
mirage	13–2	0.02	7%	5 Jul →
cache	12–12	0.05	19%	5 Jul →
cache	1–7	-0.09	11%	29 Jun →
dust2	7–13	0.00	22%	29 Jun →
mirage	12–12	0.05	20%	28 Jun →
anubis	13–4	0.04	11%	28 Jun →
cache	13–8	0.01	16%	28 Jun →
dust2	10–13	-0.03	20%	28 Jun →
mirage	13–7	0.05	8%	28 Jun →
anubis	12–12	0.04	14%	24 Jun →
mirage	5–13	-0.03	18%	23 Jun →
overpass	13–6	0.03	15%	23 Jun →
cache	11–13	0.01	5%	23 Jun →
dust2	13–8	0.09	21%	22 Jun →
cache	8–13	-0.02	32%	22 Jun →
dust2	13–5	0.02	26%	22 Jun →
dust2	13–9	0.08	14%	22 Jun →
train	12–12	0.10	23%	22 Jun →
train	7–13	0.07	14%	21 Jun →
vertigo	13–3	0.08	11%	21 Jun →
cache	13–5	0.04	21%	21 Jun →
dust2	8–13	0.03	17%	16 Jun →
inferno	13–8	-0.03	16%	16 Jun →
mirage	13–1	0.17	13%	16 Jun →
cache	11–13	0.06	21%	16 Jun →
cache	13–10	0.01	16%	16 Jun →
cache	13–9	0.02	23%	10 Jun →
mirage	13–11	0.00	19%	10 Jun →
inferno	11–13	0.08	15%	10 Jun →
ancient	12–1	0.03	24%	10 Jun →
anubis	5–13	-0.04	6%	10 Jun →
anubis	6–13	0.03	21%	9 Jun →
vertigo	13–6	0.07	32%	7 Jun →
train	13–5	0.20	14%	7 Jun →
mirage	7–13	-0.05	15%	7 Jun →
anubis	13–8	0.06	32%	7 Jun →
ancient	13–2	0.18	21%	7 Jun →
cache	9–13	0.05	27%	7 Jun →
nuke	12–12	0.01	23%	7 Jun →
ancient	8–13	0.01	11%	7 Jun →
cache	13–5	0.04	23%	7 Jun →
ancient	13–11	0.04	15%	7 Jun →
cache	13–9	0.05	23%	7 Jun →
cache	8–13	-0.00	13%	30 May →
cache	13–11	0.09	26%	30 May →
mirage	13–8	0.06	19%	28 May →
dust2	12–12	0.00	18%	28 May →
cache	13–3	0.07	14%	26 May →
train	13–11	-0.02	13%	25 May →
ancient	11–13	0.11	18%	25 May →
anubis	7–13	0.02	20%	25 May →
cache	13–5	-0.02	20%	25 May →
inferno	3–5	-0.03	12%	25 May →
inferno	12–12	0.16	19%	24 May →
ancient	11–13	0.03	25%	24 May →
inferno	13–4	0.01	12%	24 May →
vertigo	12–12	0.06	23%	24 May →
ancient	13–10	-0.03	19%	24 May →
mirage	13–10	0.02	20%	24 May →
mirage	4–13	0.02	25%	24 May →