smng — CS2 Stats

HR76561199017490966[U:1:1057225238]Steam profile ↗✓ No bans

991Tracked matches50%Win rate2021Tracked since

1,368Hours in CS1Hrs last 2 wks

CSDB Rating5.3 Developing

Ladder ranks via Leetify

Performance scores

Aim52

Positioning58

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWWWLLWWLLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.2

Aggression4.8

Utility5.6

Positioning5.8

Opening Duels2.6

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 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim5.2

Positioning5.8

Utility5.6

Mechanics6.3

Opening Duels2.6

Win Impact5.0

Composite 5.3/10 (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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time662ms−2ms

first ⅓ avg 664ms → last ⅓ avg 662ms

Headshot accuracy12.9%+0.9%

first ⅓ avg 12.0% → last ⅓ avg 12.9%

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

0.13Best rating — dust2 13–4

13–1Biggest win — nuke

5Longest win streak

W3Current streak

4–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 68% over 28ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	28	19–9	68%	0.02
dust2	C	25	11–14	44%	-0.01
mirage	B	18	9–9	50%	-0.00
inferno	D	12	4–8	33%	-0.03
ancient	D	8	2–6	25%	0.01
cache	—	3	2–1	67%	0.03
overpass	—	3	1–2	33%	-0.04
office	—	1	1–0	100%	0.04
anubis	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,097Lifetime kills

1.11K/D · Top 50% of tracked players

2,705Matches

36.6%Match win rate

41.3%Headshot %

16.4%Shot accuracy · Top 25% of tracked players

4,767MVPs

794Hours (in match)

1,811Bombs planted

438Bombs defused

Most-used weapons

AK-478,862

M4A4 / M4A1-S6,143

AWP5,926

Five-SeveN4,304

P2000 / USP-S3,154

Desert Eagle3,142

Glock-182,711

AUG2,691

Galil AR2,250

P901,692

Lifetime map wins

4,413dust2

3,560nuke

2,537inferno

1,006vertigo

219train

97office

42lake

34cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.0%Headshot accuracy

31.4%Accuracy (enemy spotted)

36.6%Spray accuracy

78.2%Counter-strafing

9.3°Preaim

653msReaction time

30.9%T opening success

49.9%CT opening success

0.57Enemies flashed / flash

3.7%Flash assists

11.05HE damage / grenade

6.05Flashes / 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 13.0487% — below the 15% mark we flag
Aim Training →
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 30.873% — below the 40% mark we flag

Spend your practice time on Ancient

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 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	0.04	18%	17 Aug →
cache	13–9	0.06	28%	15 Aug →
nuke	13–11	-0.06	17%	14 Aug →
inferno	9–13	-0.04	14%	13 Aug →
nuke	4–13	-0.07	0%	11 Aug →
inferno	16–13	-0.05	13%	11 Aug →
nuke	13–10	0.01	8%	4 Aug →
dust2	11–13	0.03	14%	3 Aug →
inferno	9–13	-0.01	8%	2 Aug →
mirage	16–12	0.00	6%	28 Jul →
mirage	13–3	0.01	18%	28 Jul →
dust2	5–13	-0.04	26%	26 Jul →
nuke	6–13	-0.02	18%	26 Jul →
dust2	13–9	0.03	17%	21 Jul →
nuke	13–1	0.03	6%	21 Jul →
dust2	7–13	-0.03	24%	14 Jul →
cache	8–13	-0.04	10%	14 Jul →
cache	13–8	0.08	15%	7 Jul →
office	13–5	0.04	7%	7 Jul →
nuke	13–2	0.03	5%	6 Jul →
overpass	10–13	-0.04	7%	26 Jun →
mirage	8–13	0.04	19%	26 Jun →
inferno	13–7	0.03	10%	23 Jun →
nuke	9–13	-0.02	6%	23 Jun →
mirage	10–13	-0.02	9%	22 Jun →
dust2	13–6	-0.05	13%	20 Jun →
inferno	13–8	-0.03	12%	20 Jun →
dust2	13–16	-0.04	9%	17 Jun →
nuke	3–13	-0.08	27%	16 Jun →
dust2	6–13	-0.05	14%	16 Jun →
mirage	13–5	0.05	6%	14 Jun →
nuke	13–11	0.03	13%	14 Jun →
mirage	13–4	-0.01	11%	9 Jun →
mirage	13–7	0.06	13%	9 Jun →
dust2	14–16	-0.02	21%	8 Jun →
mirage	10–13	-0.04	12%	7 Jun →
dust2	5–13	-0.10	6%	7 Jun →
nuke	13–5	0.02	13%	7 Jun →
mirage	7–13	-0.02	11%	6 Jun →
nuke	13–5	0.04	21%	6 Jun →
mirage	13–9	0.02	16%	6 Jun →
nuke	13–3	0.04	12%	6 Jun →
inferno	9–13	-0.06	13%	1 Jun →
dust2	4–13	-0.09	6%	1 Jun →
ancient	3–13	-0.03	21%	1 Jun →
nuke	16–12	0.05	12%	19 May →
dust2	9–13	-0.04	20%	18 May →
mirage	7–13	-0.05	22%	18 May →
nuke	12–16	0.04	25%	18 May →
dust2	13–10	-0.01	8%	10 May →
ancient	12–16	0.01	17%	10 May →
dust2	8–13	-0.04	15%	8 May →
dust2	13–8	0.03	19%	8 May →
dust2	11–13	-0.01	14%	5 May →
mirage	13–4	-0.04	6%	5 May →
dust2	13–5	0.09	17%	4 May →
dust2	13–11	-0.02	16%	3 May →
mirage	2–13	-0.03	35%	3 May →
dust2	13–6	-0.05	18%	3 May →
inferno	11–13	-0.04	14%	3 May →
nuke	13–6	0.12	13%	18 Mar →
nuke	13–3	0.08	27%	17 Feb →
dust2	13–4	0.13	18%	17 Feb →
overpass	7–13	-0.02	11%	17 Feb →
dust2	13–7	0.05	9%	10 Feb →
ancient	13–5	0.09	8%	10 Feb →
nuke	13–9	0.02	4%	10 Feb →
dust2	13–6	0.11	9%	2 Feb →
ancient	13–11	0.05	16%	2 Feb →
mirage	14–16	-0.05	14%	2 Feb →
anubis	5–13	-0.05	17%	2 Feb →
mirage	10–13	-0.04	12%	2 Feb →
ancient	14–16	0.02	8%	1 Feb →
nuke	11–13	0.05	17%	1 Feb →
dust2	6–13	-0.01	23%	1 Feb →
ancient	11–13	0.02	15%	30 Jan →
nuke	13–8	-0.02	6%	30 Jan →
inferno	13–6	0.04	12%	22 Jan →
nuke	13–9	0.00	10%	22 Jan →
inferno	9–13	-0.04	2%	19 Jan →
nuke	11–13	0.02	0%	18 Jan →
inferno	0–10	-0.07	17%	18 Jan →
nuke	13–9	0.02	17%	18 Jan →
nuke	13–6	0.04	18%	18 Jan →
nuke	3–13	-0.04	11%	11 Jan →
mirage	14–16	-0.06	11%	11 Jan →
inferno	5–13	-0.03	22%	6 Jan →
nuke	13–10	0.02	8%	5 Jan →
nuke	13–3	0.04	7%	5 Jan →
dust2	13–16	0.02	7%	5 Jan →
dust2	13–8	-0.00	5%	4 Jan →
mirage	13–5	0.02	9%	31 Dec →
overpass	13–5	-0.04	25%	20 Dec →
dust2	5–13	-0.05	8%	20 Dec →
nuke	4–13	0.01	21%	19 Dec →
mirage	13–4	0.12	8%	19 Dec →
ancient	7–13	-0.05	13%	15 Dec →
train	13–4	-0.01	7%	13 Dec →
inferno	8–13	-0.04	5%	12 Dec →
ancient	3–13	-0.03	15%	12 Dec →