.qwepsyyy — CS2 Stats

GB76561198207660020[U:1:247394292]Steam profile ↗✓ No bans

1,148Tracked matches52%Win rate2020Tracked since

5,626Hours in CS

CSDB Rating6.7 SolidSupport

Ladder ranks via Leetify

Performance scores

Aim88

Positioning57

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateLLWWWWWTWL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim8.8

Aggression4.4

Utility7.3

Positioning5.7

Opening Duels0.5

Clutch3.8

Sharp aimerStrong CT-side openerEffective flashes

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 92% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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

Aim8.8

Positioning5.7

Utility7.3

Mechanics6.5

Opening Duels1.7

Win Impact5.6

Composite 6.7/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time535ms−61ms

first ⅓ avg 596ms → last ⅓ avg 535ms

Headshot accuracy21.2%−4.7%

first ⅓ avg 25.9% → last ⅓ avg 21.2%

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

0.25Best rating — overpass 13–4

13–0Biggest win — inferno

9Longest win streak

L2Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 82% over 11ancientWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	0.01
mirage	B	21	10–11	48%	0.04
ancient	C	15	6–9	40%	-0.00
inferno	S	12	8–4	67%	0.06
anubis	S	11	9–2	82%	0.02
overpass	S	10	7–3	70%	0.05
train	—	3	3–0	100%	0.07
cache	—	2	2–0	100%	0.07
grail	—	2	1–1	50%	0.03
nuke	—	1	1–0	100%	0.03
vertigo	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

211,521Lifetime kills

1.01K/D

6,380Matches

48.0%Match win rate · Top 50% of tracked players

52.9%Headshot % · Top 25% of tracked players

18.7%Shot accuracy · Top 10% of tracked players

19,433MVPs

5,626Hours (in match)

13,976Bombs planted

3,781Bombs defused

Most-used weapons

AK-4789,597

AWP28,980

M4A4 / M4A1-S27,358

P2000 / USP-S20,492

Desert Eagle15,944

Glock-186,275

P2503,826

Knife2,720

UMP-451,793

Galil AR1,627

Lifetime map wins

16,571dust2

7,879inferno

2,780train

2,778cbble

1,063nuke

180bank

179vertigo

149lake

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

Faceit stats

Combat

2,113Matches

52%Win rate

1.31Avg K/D

73.0ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	85	58%	1.23	16.1
Overpass	61	66%	1.29	17.4
Anubis	61	46%	1.20	15.7
Ancient	60	50%	1.16	15.2
Inferno	48	60%	1.19	16.0
Dust2	40	58%	1.34	16.0
Nuke	12	50%	1.10	17.1
Cache	8	75%	1.20	15.3

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.

21.5%Headshot accuracy

39.8%Accuracy (enemy spotted)

42.5%Spray accuracy

79.3%Counter-strafing

8.1°Preaim

554msReaction time

20.3%T opening success

43.9%CT opening success

0.82Enemies flashed / flash

17.5%Flash assists

10.03HE damage / grenade

11.17Flashes / 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.

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 20.2662% — 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.

40% win rate across 15 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
anubis	12–16	-0.01	27%	11 Aug →
dust2	3–13	-0.06	0%	1 Aug →
cache	13–6	0.10	21%	1 Aug →
inferno	13–0	0.07	30%	1 Aug →
dust2	13–4	-0.01	37%	1 Aug →
inferno	13–9	0.12	33%	1 Aug →
mirage	13–11	0.03	29%	13 Jul →
dust2	15–15	0.05	18%	4 Jul →
mirage	13–6	0.01	15%	4 Jul →
mirage	11–13	-0.00	17%	4 Jul →
dust2	6–13	-0.00	20%	23 May →
inferno	2–7	0.09	35%	23 May →
dust2	2–13	0.01	23%	19 May →
ancient	2–13	-0.08	6%	19 May →
dust2	13–9	0.05	21%	17 May →
ancient	6–13	-0.04	28%	16 May →
mirage	13–6	0.05	12%	16 May →
overpass	2–13	-0.02	15%	9 May →
dust2	5–13	-0.01	33%	9 May →
cache	13–11	0.04	23%	30 Apr →
mirage	13–8	0.02	20%	24 Apr →
nuke	13–9	0.03	15%	14 Apr →
mirage	1–13	-0.05	29%	14 Apr →
anubis	13–3	0.00	10%	12 Apr →
anubis	16–14	0.05	22%	10 Apr →
ancient	13–7	0.03	21%	10 Apr →
dust2	13–8	0.08	38%	9 Apr →
ancient	11–13	0.04	11%	9 Apr →
ancient	10–13	-0.04	12%	4 Apr →
inferno	7–13	0.01	20%	4 Apr →
mirage	8–13	0.04	14%	4 Apr →
mirage	13–7	0.08	18%	4 Apr →
inferno	13–6	0.13	28%	4 Apr →
overpass	13–4	0.25	15%	4 Apr →
inferno	13–4	-0.00	12%	4 Apr →
anubis	13–11	0.03	13%	4 Apr →
dust2	13–5	0.04	24%	4 Apr →
anubis	13–4	0.03	28%	4 Apr →
inferno	13–1	0.16	20%	3 Apr →
vertigo	13–3	-0.01	18%	3 Apr →
inferno	7–12	-0.08	32%	26 Mar →
dust2	15–15	-0.04	21%	29 Dec →
dust2	4–4	-0.03	40%	29 Dec →
ancient	10–13	-0.01	20%	20 Dec →
dust2	5–13	-0.02	34%	18 Dec →
dust2	13–2	0.04	40%	15 Dec →
mirage	6–13	0.04	20%	27 Oct →
ancient	7–13	-0.08	10%	23 Oct →
mirage	4–13	-0.05	27%	23 Oct →
ancient	2–13	-0.04	20%	23 Oct →
ancient	13–11	0.00	22%	13 Sept →
ancient	13–5	0.09	20%	13 Sept →
overpass	13–5	-0.01	17%	13 Sept →
dust2	6–13	-0.06	13%	25 Jul →
overpass	13–4	0.04	24%	25 Jul →
overpass	9–13	-0.01	13%	20 Jul →
inferno	11–13	0.06	24%	20 Jul →
inferno	16–13	-0.00	29%	20 Jul →
inferno	13–5	0.05	20%	20 Jul →
overpass	13–11	0.10	41%	20 Jul →
overpass	8–13	0.06	17%	20 Jul →
overpass	13–7	0.03	25%	20 Jul →
ancient	13–11	0.04	19%	19 Jul →
train	13–7	0.06	29%	18 Jul →
inferno	13–0	0.12	18%	18 Jul →
dust2	2–13	-0.00	18%	12 Jul →
train	13–5	0.06	18%	29 Jun →
mirage	11–13	0.03	24%	29 Jun →
dust2	13–2	0.11	16%	28 Jun →
dust2	8–13	-0.03	31%	28 Jun →
anubis	16–13	-0.00	29%	27 Jun →
ancient	6–13	-0.02	21%	27 Jun →
anubis	7–13	0.01	18%	27 Jun →
ancient	13–8	0.04	36%	15 Jun →
anubis	13–3	0.01	18%	15 Jun →
mirage	11–13	-0.01	25%	14 Jun →
dust2	13–3	0.05	14%	14 Jun →
ancient	13–5	0.06	20%	14 Jun →
mirage	15–15	0.04	11%	14 Jun →
dust2	13–10	0.04	41%	14 Jun →
grail	13–7	0.02	19%	9 May →
grail	5–13	0.04	14%	9 May →
mirage	7–13	-0.03	27%	21 Apr →
dust2	2–7	-0.01	56%	21 Apr →
dust2	14–16	0.01	31%	14 Mar →
dust2	13–6	0.06	38%	18 Feb →
mirage	13–4	0.13	29%	4 Feb →
mirage	9–5	0.04	53%	22 Jan →
mirage	5–13	0.04	26%	9 Jan →
mirage	13–9	0.10	41%	20 Dec →
ancient	5–4	-0.04	33%	6 Dec →
mirage	13–4	0.12	28%	3 Dec →
train	13–11	0.08	17%	1 Dec →
overpass	13–5	0.05	17%	25 Feb →
anubis	16–13	0.01	27%	25 Feb →
mirage	13–5	0.14	20%	25 Feb →
anubis	13–6	0.06	25%	25 Feb →
anubis	13–6	-0.00	8%	25 Feb →
mirage	9–13	0.04	23%	18 Feb →
overpass	13–7	0.02	19%	18 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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