Sour minion — CS2 Stats

DK76561198142872146[U:1:182606418]Steam profile ↗

295Tracked matches59%Win rate2023Tracked since

312Hours in CS3Hrs last 2 wks

CSDB Rating4.2 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova II

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	38.3%	44.2%	44.9%	6.6% short
Shot accuracy	6.4%	11.2%	11.8%	5.4% short
Kill/death ratio	0.68	1.04	1.04	0.36 short
Match win rate	38.4%	45.3%	45.3%	6.8% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. 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

Aim54

Positioning39

Utility14

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateLWWWWLWLWW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim5.4

Aggression2.7

Utility1.4

Positioning3.9

Opening Duels0.0

Clutch0.0

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 70% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

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

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

Aim5.4

Positioning3.9

Utility1.4

Mechanics5.1

Opening Duels0.5

Win Impact7.9

Composite 4.2/10 (Developing), 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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time610ms−110ms

first ⅓ avg 720ms → last ⅓ avg 610ms

Headshot accuracy14.1%+0.6%

first ⅓ avg 13.5% → last ⅓ avg 14.1%

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

0.18Best rating — inferno 9–3

13–1Biggest win — inferno

7Longest win streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 75% over 12nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	15–12	56%	-0.03
dust2	C	14	5–9	36%	-0.01
ancient	B	13	6–7	46%	-0.00
nuke	D	12	4–8	33%	-0.04
mirage	S	12	9–3	75%	0.01
office	A	7	4–3	57%	-0.04
anubis	D	6	2–4	33%	-0.04
vertigo	—	4	3–1	75%	-0.04
cache	—	3	1–2	33%	-0.05
fachwerk	—	1	1–0	100%	-0.09
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,676Lifetime kills

0.68K/D

606Matches

38.4%Match win rate

38.3%Headshot %

6.4%Shot accuracy

773MVPs

176Hours (in match)

504Bombs planted

50Bombs defused

Most-used weapons

AK-471,624

M4A4 / M4A1-S1,171

P90473

AWP356

P2000 / USP-S338

AUG301

FAMAS282

Glock-18259

Galil AR213

SG 553209

Lifetime map wins

868inferno

820dust2

459nuke

222vertigo

134office

31train

25lake

21cbble

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

Faceit stats

Combat

10Matches

60%Win rate

0.60Avg K/D

58.5ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	50%	0.36	5.5
Dust2	2	50%	0.60	8.0
Overpass	1	0%	0.56	9.0
Ancient	1	100%	0.82	14.0
Mirage	1	100%	1.00	10.0

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.

13.8%Headshot accuracy

35.0%Accuracy (enemy spotted)

35.9%Spray accuracy

72.8%Counter-strafing

10.5°Preaim

610msReaction time

20.1%T opening success

33.6%CT opening success

0.33Enemies flashed / flash

2.5%Flash assists

5.29HE damage / grenade

3.78Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7875% — below the 15% mark we flag
Aim Training →
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 0.3258 — 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 20.0995% — 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.

33% win rate across 12 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
office	1–13	-0.07	6%	28 Aug →
fachwerk	13–11	-0.09	13%	22 Aug →
anubis	13–8	-0.11	13%	15 Aug →
inferno	13–8	-0.06	18%	15 Aug →
cache	13–3	-0.04	21%	15 Aug →
inferno	7–13	-0.10	24%	14 Aug →
anubis	13–5	-0.01	7%	14 Aug →
inferno	11–13	-0.10	3%	12 Aug →
vertigo	13–9	-0.02	14%	12 Aug →
vertigo	13–11	-0.03	9%	6 Aug →
vertigo	13–4	-0.04	17%	4 Aug →
nuke	13–9	-0.05	6%	1 Aug →
inferno	8–13	-0.03	15%	31 Jul →
inferno	12–12	-0.06	17%	31 Jul →
cache	10–13	-0.05	13%	14 Jul →
dust2	5–13	-0.02	20%	12 Jul →
dust2	2–13	-0.10	13%	9 Jul →
office	9–13	-0.06	16%	8 Jul →
inferno	9–3	0.18	19%	7 Jul →
office	13–6	-0.06	13%	6 Jul →
inferno	13–10	0.01	20%	6 Jul →
mirage	13–9	-0.01	12%	25 Jun →
office	13–10	0.01	13%	16 May →
mirage	13–2	0.04	5%	15 May →
dust2	9–13	0.04	10%	15 May →
dust2	13–6	0.02	16%	14 May →
inferno	13–5	0.04	14%	14 May →
ancient	8–13	-0.07	20%	13 May →
nuke	9–13	-0.03	17%	13 May →
inferno	13–2	-0.06	26%	9 May →
inferno	4–13	-0.09	5%	2 May →
cache	6–13	-0.06	6%	2 May →
mirage	13–8	0.11	26%	25 Apr →
office	7–13	-0.09	0%	13 Mar →
office	13–6	-0.04	8%	13 Mar →
inferno	10–13	-0.09	7%	27 Feb →
nuke	13–7	-0.01	18%	18 Feb →
ancient	13–4	-0.01	22%	18 Feb →
nuke	6–13	-0.05	21%	1 Feb →
mirage	15–15	-0.03	11%	1 Feb →
ancient	7–13	0.00	20%	31 Jan →
inferno	13–11	-0.04	25%	23 Jan →
inferno	13–2	0.03	21%	23 Jan →
anubis	3–13	-0.03	16%	23 Jan →
inferno	13–2	0.02	22%	22 Jan →
anubis	11–13	-0.05	26%	22 Jan →
nuke	7–13	-0.07	9%	22 Jan →
nuke	10–13	-0.04	18%	20 Jan →
office	13–10	-0.00	67%	19 Jan →
dust2	13–2	0.05	8%	19 Jan →
mirage	13–5	-0.01	11%	19 Jan →
dust2	13–11	-0.01	12%	19 Jan →
mirage	13–4	0.03	13%	19 Jan →
ancient	13–2	0.14	12%	19 Jan →
inferno	11–13	-0.06	15%	18 Jan →
ancient	4–13	0.02	11%	18 Jan →
inferno	7–13	0.03	24%	18 Jan →
ancient	13–8	-0.05	19%	18 Jan →
mirage	8–13	-0.06	20%	18 Jan →
mirage	13–7	-0.06	16%	15 Jan →
anubis	11–13	-0.01	8%	15 Jan →
mirage	9–13	-0.07	6%	15 Jan →
inferno	5–13	-0.01	8%	14 Jan →
ancient	13–7	-0.06	14%	14 Jan →
anubis	5–13	-0.04	22%	14 Jan →
dust2	7–13	-0.01	16%	13 Jan →
ancient	15–15	0.03	13%	12 Jan →
dust2	7–13	-0.07	14%	12 Jan →
ancient	9–13	-0.00	26%	10 Jan →
inferno	5–13	-0.12	10%	9 Jan →
dust2	15–15	-0.07	24%	9 Jan →
inferno	13–1	-0.00	6%	28 Dec →
nuke	12–12	-0.05	8%	28 Dec →
dust2	13–8	0.08	18%	28 Dec →
mirage	13–8	0.07	14%	28 Dec →
dust2	11–13	-0.01	15%	28 Dec →
nuke	14–16	-0.04	8%	28 Dec →
inferno	12–16	-0.07	9%	28 Dec →
ancient	7–13	-0.04	16%	27 Dec →
nuke	13–11	0.02	18%	27 Dec →
dust2	4–13	-0.08	14%	27 Dec →
inferno	13–2	0.05	8%	27 Dec →
dust2	7–13	0.01	11%	27 Dec →
inferno	13–11	-0.05	14%	27 Dec →
nuke	10–13	-0.04	14%	27 Dec →
dust2	13–3	0.02	6%	27 Dec →
inferno	9–7	-0.04	12%	27 Dec →
ancient	13–10	0.05	12%	27 Dec →
inferno	16–14	-0.06	10%	26 Dec →
inferno	13–1	-0.07	30%	26 Dec →
mirage	13–5	0.00	24%	26 Dec →
mirage	13–4	0.05	10%	26 Dec →
ancient	5–13	-0.02	16%	25 Dec →
nuke	10–13	-0.13	5%	16 Dec →
inferno	13–5	0.02	10%	21 Nov →
vertigo	9–12	-0.07	18%	5 Nov →
inferno	10–13	-0.03	11%	24 Oct →
train	13–11	0.06	11%	30 Sept →
nuke	13–8	-0.03	13%	12 Sept →
ancient	13–9	-0.03	12%	10 Sept →