Smegma Male — CS2 Stats

76561198055666202[U:1:95400474]Steam profile ↗✓ No bans

947Tracked matches50%Win rate2021Tracked since

2,380Hours in CS6Hrs last 2 wks

CSDB Rating5.2 DevelopingAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim72

Positioning58

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY51–36–13Last 10051%Win rateLWLWLLWWLL

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

Player DNA

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

Aim7.2

Aggression7.2

Utility5.8

Positioning5.8

Opening Duels2.4

Clutch4.6

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 b1t 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 577ms 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

Aim7.2

Positioning5.8

Utility5.8

Mechanics5.3

Opening Duels2.4

Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time577ms−15ms

first ⅓ avg 592ms → last ⅓ avg 577ms

Headshot accuracy15.2%+0.7%

first ⅓ avg 14.6% → last ⅓ avg 15.2%

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

0.29Best rating — vertigo 9–2

13–1Biggest win — vertigo

6Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 73% over 11cacheWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	18	10–8	56%	0.01
cache	C	18	7–11	39%	0.02
mirage	A	16	9–7	56%	0.02
ancient	S	11	8–3	73%	0.03
inferno	A	11	6–5	55%	0.01
anubis	B	11	5–6	45%	0.03
vertigo	—	4	2–2	50%	0.09
nuke	—	3	1–2	33%	0.02
train	—	3	1–2	33%	0.02
poseidon	—	3	1–2	33%	0.02
debris	—	1	1–0	100%	0.24
office	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

83,776Lifetime kills

1.33K/D · Top 10% of tracked players

4,936Matches

47.9%Match win rate · Top 50% of tracked players

41.1%Headshot %

18.0%Shot accuracy · Top 10% of tracked players

15,180MVPs

1,675Hours (in match)

3,799Bombs planted

1,371Bombs defused

Most-used weapons

AK-4724,496

M4A4 / M4A1-S12,470

AWP8,885

P2000 / USP-S6,472

Desert Eagle3,917

Glock-183,619

P2502,415

Galil AR2,029

MP91,706

FAMAS1,604

Lifetime map wins

7,919dust2

3,911vertigo

3,033train

2,426inferno

1,526nuke

970cbble

420office

284lake

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

Faceit stats

Combat

26Matches

38%Win rate

1.38Avg K/D

94.1ADR

42%Headshot %

Clutches & streaks

43%1v1 clutch win

28%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	50%	1.56	23.9
Ancient	4	50%	1.15	14.3
Inferno	4	50%	1.64	19.8
Dust2	3	0%	0.98	13.7
Nuke	1	0%	1.50	24.0
Cache	1	0%	1.27	19.0
Anubis	1	0%	1.25	15.0
Overpass	1	100%	1.71	24.0

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.

15.0%Headshot accuracy

39.3%Accuracy (enemy spotted)

42.6%Spray accuracy

73.9%Counter-strafing

10.2°Preaim

577msReaction time

35.0%T opening success

44.1%CT opening success

0.52Enemies flashed / flash

9.6%Flash assists

3.64HE damage / grenade

16.35Flashes / 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 14.9544% — 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 34.9524% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	-0.02	40%	30 Aug →
nuke	13–5	0.09	13%	30 Aug →
ancient	9–13	-0.06	12%	29 Aug →
dust2	13–8	0.07	14%	29 Aug →
cache	8–13	-0.02	14%	29 Aug →
inferno	3–13	0.02	9%	23 Aug →
mirage	13–9	0.12	10%	23 Aug →
train	13–10	0.02	12%	23 Aug →
mirage	11–13	0.00	10%	23 Aug →
cache	7–13	-0.06	24%	15 Aug →
mirage	5–13	0.02	10%	15 Aug →
mirage	9–13	0.03	11%	15 Aug →
vertigo	7–9	-0.07	4%	15 Aug →
vertigo	8–8	0.10	10%	15 Aug →
poseidon	8–8	0.15	19%	15 Aug →
dust2	12–12	0.03	21%	8 Aug →
ancient	13–4	0.18	11%	8 Aug →
inferno	13–7	0.05	13%	8 Aug →
dust2	10–13	-0.07	20%	1 Aug →
mirage	13–9	0.08	9%	31 Jul →
cache	5–13	0.02	11%	22 Jul →
dust2	13–6	0.03	27%	22 Jul →
anubis	13–11	0.02	10%	21 Jul →
mirage	13–4	0.11	21%	21 Jul →
cache	13–2	0.04	29%	21 Jul →
dust2	7–13	0.04	24%	20 Jul →
mirage	13–11	0.03	9%	20 Jul →
dust2	13–11	0.04	14%	20 Jul →
debris	9–3	0.24	28%	16 Jul →
inferno	2–13	-0.09	9%	16 Jul →
cache	12–12	0.02	15%	16 Jul →
anubis	5–13	0.01	8%	16 Jul →
ancient	13–8	0.05	11%	16 Jul →
cache	4–13	-0.03	12%	15 Jul →
cache	11–13	0.05	16%	15 Jul →
dust2	8–13	-0.03	31%	15 Jul →
cache	13–3	0.09	13%	10 Jul →
dust2	12–12	0.02	22%	10 Jul →
anubis	12–12	0.02	7%	9 Jul →
anubis	7–13	0.02	13%	9 Jul →
mirage	13–10	-0.03	16%	9 Jul →
cache	7–13	-0.03	10%	9 Jul →
inferno	13–3	0.03	3%	6 Jul →
ancient	6–13	-0.07	13%	6 Jul →
mirage	6–13	0.00	11%	5 Jul →
train	7–13	0.02	14%	5 Jul →
mirage	13–4	-0.02	15%	4 Jul →
poseidon	0–9	-0.22	25%	2 Jul →
dust2	8–13	-0.01	12%	2 Jul →
inferno	13–4	0.08	10%	28 Jun →
ancient	13–3	0.02	15%	28 Jun →
mirage	13–9	0.01	10%	28 Jun →
anubis	4–13	-0.02	9%	28 Jun →
dust2	13–7	0.01	12%	28 Jun →
anubis	13–11	-0.00	1%	26 Jun →
mirage	2–9	-0.04	16%	26 Jun →
cache	13–5	0.01	15%	26 Jun →
anubis	13–8	0.04	12%	25 Jun →
ancient	13–3	0.06	9%	24 Jun →
cache	13–10	0.07	13%	22 Jun →
cache	12–12	-0.02	12%	22 Jun →
inferno	13–5	0.05	10%	22 Jun →
poseidon	9–1	0.13	24%	22 Jun →
dust2	11–13	-0.02	12%	21 Jun →
dust2	13–6	0.04	19%	20 Jun →
nuke	9–13	-0.00	16%	20 Jun →
anubis	13–7	0.10	11%	20 Jun →
vertigo	9–2	0.29	20%	14 Jun →
anubis	13–9	0.13	14%	14 Jun →
cache	11–13	0.07	19%	14 Jun →
mirage	10–13	0.01	15%	13 Jun →
ancient	13–5	0.04	10%	7 Jun →
cache	13–7	0.04	8%	7 Jun →
cache	13–8	0.07	12%	6 Jun →
dust2	6–11	-0.10	16%	6 Jun →
train	12–12	0.01	14%	6 Jun →
vertigo	13–1	0.05	15%	6 Jun →
mirage	13–8	0.01	7%	6 Jun →
inferno	2–13	-0.05	12%	6 Jun →
anubis	12–12	0.02	15%	5 Jun →
ancient	10–13	-0.02	13%	5 Jun →
dust2	13–10	0.07	21%	5 Jun →
dust2	13–8	0.02	19%	3 Jun →
dust2	13–8	-0.02	12%	31 May →
ancient	13–5	0.05	16%	30 May →
inferno	13–5	-0.03	8%	30 May →
dust2	13–10	-0.08	24%	30 May →
inferno	1–9	0.05	19%	30 May →
anubis	12–12	-0.04	12%	30 May →
ancient	13–9	0.02	23%	28 May →
mirage	13–6	0.00	17%	28 May →
inferno	12–12	0.01	14%	28 May →
cache	13–5	0.03	22%	28 May →
dust2	13–7	0.09	21%	25 May →
cache	10–13	-0.01	8%	25 May →
mirage	12–12	0.04	11%	25 May →
office	8–13	-0.08	13%	25 May →
ancient	13–5	0.01	4%	25 May →
inferno	13–11	-0.00	15%	25 May →
cache	12–12	0.04	14%	24 May →