QCGyrl — CS2 Stats

76561197960447737[U:1:182009]Steam profile ↗✓ No bans

4,580Tracked matches50%Win rate2023Tracked since

CSDB Rating3.6 Learning

Premier CS Rating6,074Light Blue band · top ~73.7% of ranked players (population est.)

CSDB Leaderboard#32477 of 42796 tracked

FaceitLevel 2 · 641 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning44

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateWLWWLWWWLT

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim4.2

Aggression2.7

Utility4.1

Positioning4.4

Opening Duels0.6

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 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; 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 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning4.4

Utility4.1

Mechanics3.4

Opening Duels2.5

Win Impact5.0

Composite 3.6/10 (Learning), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time687ms−81ms

first ⅓ avg 768ms → last ⅓ avg 687ms

Headshot accuracy14.4%+0.9%

first ⅓ avg 13.5% → last ⅓ avg 14.4%

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 — dust2 13–2

13–2Biggest win — mirage

6Longest win streak

9–8In matches decided by ≤2 rounds

17Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 36% over 28

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	28	10–18	36%	-0.01
nuke	C	28	12–16	43%	-0.03
inferno	C	19	7–12	37%	-0.02
ancient	A	10	6–4	60%	0.00
mirage	A	9	5–4	56%	-0.02
anubis	—	3	1–2	33%	-0.04
cache	—	3	1–2	33%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

18%Win rate

0.67Avg K/D

58.3ADR

49%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	25%	0.68	12.3
Anubis	2	50%	0.72	8.5
Dust2	2	0%	0.64	9.0
Inferno	2	0%	0.82	15.5
Vertigo	1	0%	0.35	6.0

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.

14.9%Headshot accuracy

32.9%Accuracy (enemy spotted)

39.3%Spray accuracy

65.2%Counter-strafing

10.4°Preaim

688msReaction time

14.3%T opening success

50.3%CT opening success

0.65Enemies flashed / flash

3.5%Flash assists

4.75HE damage / grenade

3.55Flashes / 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 14.8973% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5546 — below the 4 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 14.3013% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.00	16%	30 Aug →
dust2	6–13	-0.04	6%	29 Aug →
inferno	13–9	-0.03	10%	29 Aug →
nuke	13–10	0.06	22%	29 Aug →
nuke	14–16	-0.05	18%	28 Aug →
inferno	13–9	0.03	11%	28 Aug →
inferno	16–14	-0.01	16%	27 Aug →
ancient	13–10	-0.04	4%	27 Aug →
nuke	4–13	-0.10	14%	27 Aug →
nuke	15–15	-0.04	11%	26 Aug →
ancient	13–8	0.10	12%	26 Aug →
dust2	13–10	-0.01	16%	25 Aug →
dust2	3–13	-0.01	6%	25 Aug →
nuke	16–14	-0.06	7%	25 Aug →
inferno	14–16	-0.04	29%	24 Aug →
dust2	9–13	0.04	16%	24 Aug →
dust2	7–13	-0.05	19%	23 Aug →
nuke	3–13	-0.02	18%	23 Aug →
nuke	9–13	-0.06	11%	23 Aug →
nuke	9–13	-0.03	16%	23 Aug →
inferno	10–13	-0.01	16%	23 Aug →
dust2	15–15	-0.04	22%	23 Aug →
dust2	10–13	-0.00	22%	21 Aug →
nuke	10–13	-0.06	11%	21 Aug →
ancient	13–11	-0.03	11%	20 Aug →
dust2	13–11	-0.04	22%	20 Aug →
nuke	5–13	-0.05	13%	20 Aug →
nuke	13–8	-0.03	8%	20 Aug →
nuke	13–10	-0.01	20%	19 Aug →
inferno	13–4	0.08	14%	19 Aug →
dust2	13–7	0.03	18%	18 Aug →
dust2	16–14	-0.07	8%	17 Aug →
dust2	13–10	0.00	10%	17 Aug →
ancient	10–13	0.02	13%	16 Aug →
mirage	9–13	-0.08	9%	16 Aug →
mirage	13–2	0.01	23%	16 Aug →
anubis	7–13	-0.07	19%	16 Aug →
ancient	13–5	-0.01	26%	16 Aug →
nuke	4–13	-0.08	10%	8 Aug →
ancient	13–7	-0.00	16%	8 Aug →
inferno	5–13	-0.08	16%	8 Aug →
anubis	13–16	-0.07	13%	7 Aug →
nuke	13–7	0.00	17%	6 Aug →
nuke	13–3	-0.03	20%	6 Aug →
mirage	6–13	0.02	6%	5 Aug →
dust2	11–13	-0.05	16%	5 Aug →
ancient	11–13	-0.03	13%	5 Aug →
ancient	8–13	-0.03	9%	5 Aug →
dust2	13–9	0.03	9%	4 Aug →
inferno	13–11	-0.06	16%	4 Aug →
inferno	8–13	-0.04	17%	3 Aug →
dust2	13–8	-0.05	13%	3 Aug →
inferno	8–13	-0.03	8%	3 Aug →
inferno	3–13	-0.06	16%	2 Aug →
nuke	9–13	0.02	15%	2 Aug →
dust2	13–4	0.03	27%	2 Aug →
ancient	8–13	0.04	21%	2 Aug →
dust2	15–15	0.00	18%	2 Aug →
dust2	6–13	-0.06	31%	31 Jul →
dust2	10–13	-0.05	15%	28 Jul →
dust2	15–15	-0.01	12%	27 Jul →
nuke	10–13	-0.09	5%	27 Jul →
inferno	10–4	0.09	18%	27 Jul →
ancient	13–10	-0.01	11%	26 Jul →
inferno	14–16	-0.01	17%	26 Jul →
dust2	11–13	-0.02	8%	26 Jul →
nuke	7–13	-0.11	8%	26 Jul →
inferno	10–13	-0.07	10%	26 Jul →
nuke	7–13	-0.05	10%	26 Jul →
nuke	13–10	0.04	10%	25 Jul →
inferno	13–7	0.04	15%	25 Jul →
dust2	8–13	0.01	23%	24 Jul →
nuke	13–10	-0.05	11%	24 Jul →
mirage	15–15	-0.03	18%	23 Jul →
dust2	10–13	-0.01	12%	22 Jul →
dust2	6–13	-0.03	16%	21 Jul →
mirage	14–16	-0.03	13%	21 Jul →
anubis	13–4	0.00	11%	21 Jul →
cache	13–7	0.03	8%	21 Jul →
inferno	11–13	-0.01	19%	21 Jul →
dust2	15–15	-0.04	22%	21 Jul →
nuke	16–14	-0.00	9%	20 Jul →
inferno	10–13	-0.04	15%	20 Jul →
mirage	13–11	-0.07	13%	20 Jul →
inferno	6–13	-0.05	9%	19 Jul →
mirage	13–3	0.01	15%	19 Jul →
nuke	13–9	0.03	19%	17 Jul →
cache	9–13	0.00	24%	17 Jul →
dust2	9–13	-0.09	5%	16 Jul →
dust2	13–2	0.16	11%	16 Jul →
mirage	13–8	-0.03	12%	16 Jul →
nuke	10–13	-0.02	13%	16 Jul →
inferno	8–13	-0.07	11%	15 Jul →
dust2	9–13	-0.00	10%	14 Jul →
cache	10–13	-0.01	13%	14 Jul →
nuke	13–3	0.05	20%	14 Jul →
nuke	15–15	-0.04	6%	13 Jul →
nuke	8–13	-0.03	17%	13 Jul →
dust2	16–14	0.02	14%	10 Jul →
nuke	13–8	-0.05	7%	10 Jul →