shwa — CS2 Stats

76561198060133003[U:1:99867275]Steam profile ↗VAC banned

1,381Tracked matches54%Win rate2021Tracked since

3,092Hours in CS

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating21,930Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#2708 of 7841 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning46

Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateWTLLLLWWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression6.0

Utility6.1

Positioning4.6

Opening Duels1.8

Clutch6.0

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 586ms 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

Aim6.1

Positioning4.6

Utility6.1

Mechanics4.8

Opening Duels1.8

Win Impact6.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time586ms−52ms

first ⅓ avg 638ms → last ⅓ avg 586ms

Headshot accuracy20.1%+0.8%

first ⅓ avg 19.3% → last ⅓ avg 20.1%

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

0.16Best rating — anubis 13–4

13–2Biggest win — ancient

5Longest win streak

4–12In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 65% over 20nukeWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	13–7	65%	0.00
mirage	A	15	9–6	60%	-0.00
cache	A	15	9–6	60%	0.01
ancient	D	14	4–10	29%	-0.02
nuke	D	12	1–11	8%	-0.02
anubis	A	9	5–4	56%	0.03
inferno	B	6	3–3	50%	-0.00
train	—	4	1–3	25%	-0.00
vertigo	—	2	2–0	100%	0.05
fachwerk	—	1	1–0	100%	0.01
boulder	—	1	0–1	0%	0.02
office	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,376Lifetime kills

1.15K/D · Top 50% of Pink band

6,529Matches

41.6%Match win rate

45.9%Headshot %

13.9%Shot accuracy · Top 50% of Pink band

16,211MVPs

3,092Hours (in match)

3,096Bombs planted

1,964Bombs defused

Most-used weapons

AK-4742,783

M4A4 / M4A1-S19,939

Desert Eagle19,652

AWP19,287

P2000 / USP-S8,034

SSG 086,875

Glock-185,330

P905,289

P2502,840

Five-SeveN1,926

Lifetime map wins

29,266dust2

6,241nuke

3,497inferno

1,015train

950office

872vertigo

381cbble

155italy

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

Faceit stats

Combat

98Matches

58%Win rate

1.23Avg K/D

76.5ADR

42%Headshot %

Clutches & streaks

50%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	57%	1.09	14.6
Anubis	7	57%	1.07	16.9
Mirage	4	25%	0.70	10.3
Ancient	3	67%	1.09	14.0
Cache	3	67%	0.78	15.0
Inferno	3	67%	0.76	17.3
Nuke	1	100%	1.09	12.0

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.

20.9%Headshot accuracy

30.8%Accuracy (enemy spotted)

34.6%Spray accuracy

71.5%Counter-strafing

9.5°Preaim

586msReaction time

37.3%T opening success

37.4%CT opening success

0.67Enemies flashed / flash

7.9%Flash assists

7.70HE damage / grenade

15.08Flashes / 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.

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 37.2889% — 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.

8% 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
mirage	13–10	-0.01	30%	27 Aug →
dust2	15–15	-0.03	28%	26 Aug →
mirage	14–16	-0.04	12%	25 Aug →
ancient	6–13	-0.03	18%	24 Aug →
dust2	4–13	-0.03	32%	24 Aug →
nuke	6–13	-0.05	36%	23 Aug →
nuke	13–7	0.08	32%	23 Aug →
dust2	13–11	0.06	37%	22 Aug →
ancient	6–13	-0.05	20%	21 Aug →
cache	5–13	0.03	14%	20 Aug →
dust2	13–7	0.03	9%	20 Aug →
cache	13–4	-0.02	9%	20 Aug →
dust2	13–8	0.06	29%	19 Aug →
cache	13–4	0.07	20%	19 Aug →
mirage	11–13	-0.00	24%	18 Aug →
train	12–12	-0.03	9%	18 Aug →
ancient	4–13	-0.07	24%	18 Aug →
fachwerk	13–7	0.01	12%	16 Aug →
vertigo	13–9	0.05	15%	16 Aug →
anubis	11–13	-0.02	27%	16 Aug →
inferno	9–13	-0.08	20%	16 Aug →
train	2–13	0.00	7%	15 Aug →
ancient	9–13	-0.01	17%	15 Aug →
ancient	13–5	0.01	31%	14 Aug →
mirage	13–11	-0.04	15%	14 Aug →
mirage	13–5	0.02	22%	14 Aug →
mirage	13–11	0.02	15%	13 Aug →
anubis	13–7	0.01	27%	13 Aug →
nuke	11–13	0.03	14%	11 Aug →
cache	13–7	0.05	21%	11 Aug →
nuke	10–12	-0.00	15%	10 Aug →
nuke	15–15	-0.01	9%	10 Aug →
anubis	9–13	-0.06	14%	10 Aug →
ancient	11–13	-0.03	17%	9 Aug →
ancient	13–10	0.05	18%	9 Aug →
nuke	8–13	-0.05	15%	8 Aug →
ancient	9–13	-0.04	20%	8 Aug →
mirage	10–0	0.14	12%	7 Aug →
anubis	13–4	0.02	24%	7 Aug →
mirage	13–8	0.03	15%	7 Aug →
dust2	13–6	-0.01	12%	6 Aug →
nuke	11–13	-0.07	19%	6 Aug →
ancient	15–15	-0.02	21%	4 Aug →
nuke	9–13	0.03	18%	4 Aug →
train	13–6	0.03	16%	4 Aug →
inferno	13–3	0.00	17%	3 Aug →
dust2	13–5	-0.03	0%	30 Jul →
vertigo	13–6	0.06	5%	30 Jul →
mirage	5–13	-0.00	20%	29 Jul →
mirage	2–13	-0.04	11%	28 Jul →
anubis	13–4	0.16	27%	28 Jul →
nuke	8–13	-0.03	10%	25 Jul →
cache	13–9	0.01	23%	25 Jul →
anubis	12–12	0.04	28%	24 Jul →
inferno	13–8	0.05	22%	24 Jul →
ancient	13–8	-0.03	27%	23 Jul →
dust2	2–13	-0.00	17%	20 Jul →
inferno	10–13	0.04	13%	20 Jul →
mirage	13–6	-0.09	0%	17 Jul →
mirage	13–3	0.05	21%	15 Jul →
boulder	11–13	0.02	13%	13 Jul →
dust2	11–13	0.01	19%	13 Jul →
office	13–8	0.04	13%	12 Jul →
dust2	16–13	0.02	19%	11 Jul →
dust2	13–6	-0.06	25%	9 Jul →
dust2	9–13	-0.08	22%	4 Jul →
cache	7–13	0.01	29%	29 Jun →
anubis	11–13	-0.03	4%	25 Jun →
dust2	13–6	-0.05	19%	25 Jun →
mirage	7–13	-0.02	23%	24 Jun →
ancient	10–13	-0.01	19%	24 Jun →
nuke	12–12	-0.06	19%	24 Jun →
inferno	14–16	-0.03	20%	23 Jun →
ancient	13–2	0.01	14%	23 Jun →
dust2	13–8	0.09	31%	23 Jun →
dust2	13–4	0.04	14%	23 Jun →
anubis	13–7	0.07	8%	22 Jun →
ancient	5–13	-0.04	19%	22 Jun →
dust2	13–4	-0.04	18%	22 Jun →
cache	7–3	0.02	33%	19 Jun →
dust2	6–13	0.01	23%	19 Jun →
cache	8–1	0.12	33%	19 Jun →
mirage	10–13	-0.03	18%	18 Jun →
train	8–13	-0.01	33%	18 Jun →
inferno	13–7	-0.00	31%	18 Jun →
dust2	13–9	0.06	22%	15 Jun →
cache	1–13	0.02	7%	14 Jun →
dust2	13–8	-0.03	16%	14 Jun →
cache	6–13	-0.06	13%	13 Jun →
nuke	8–13	0.00	13%	13 Jun →
mirage	13–11	-0.04	13%	13 Jun →
cache	13–5	0.02	21%	13 Jun →
nuke	4–13	-0.06	14%	12 Jun →
anubis	13–2	0.03	33%	9 Jun →
cache	13–10	-0.04	19%	8 Jun →
ancient	7–13	-0.06	21%	8 Jun →
cache	10–13	-0.04	12%	8 Jun →
dust2	11–13	0.01	16%	7 Jun →
cache	13–5	0.04	25%	7 Jun →
cache	9–13	-0.06	12%	7 Jun →