xQtorR — CS2 Stats

76561198203571724[U:1:243305996]

1,004Tracked matches50%Win rate2022Tracked since

2,125Hours in CS

CSDB Rating5.4 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim74

Positioning44

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWWLLLWWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.4

Aggression2.1

Utility5.5

Positioning4.4

Opening Duels0.0

Clutch3.8

Strong CT-side opener

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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 38% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim7.4

Positioning4.4

Utility5.5

Mechanics7.9

Opening Duels1.0

Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time618ms+36ms

first ⅓ avg 582ms → last ⅓ avg 618ms

Headshot accuracy18.2%+2.1%

first ⅓ avg 16.1% → last ⅓ avg 18.2%

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

0.08Best rating — nuke 13–9

12–1Biggest win — dust2

6Longest win streak

5–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 63% over 19anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	-0.02
inferno	C	20	8–12	40%	-0.01
ancient	A	19	12–7	63%	-0.01
cache	B	14	7–7	50%	-0.01
nuke	B	10	5–5	50%	-0.01
anubis	C	8	3–5	38%	-0.03
mirage	A	5	3–2	60%	0.00
overpass	—	2	0–2	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,530Lifetime kills

1.02K/D

3,090Matches

43.8%Match win rate

43.6%Headshot %

11.5%Shot accuracy

7,223MVPs

2,125Hours (in match)

4,435Bombs planted

1,012Bombs defused

Most-used weapons

AK-4725,133

M4A4 / M4A1-S11,386

AWP11,005

P2000 / USP-S4,157

P2502,539

Glock-182,035

Desert Eagle1,868

Knife1,337

FAMAS1,299

MAC-10991

Lifetime map wins

8,311dust2

8,289inferno

1,417nuke

998cbble

403train

359vertigo

17italy

17safehouse

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

Faceit stats

Combat

1,056Matches

50%Win rate

0.91Avg K/D

69.5ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	171	52%	0.88	13.7
Ancient	164	58%	0.96	14.7
Dust2	151	60%	0.94	14.2
Anubis	86	41%	0.83	13.7
Mirage	77	40%	0.83	13.0
Nuke	66	44%	0.83	13.6
Cache	27	52%	1.07	14.3
Overpass	20	50%	0.87	14.1

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.

18.8%Headshot accuracy

36.6%Accuracy (enemy spotted)

41.7%Spray accuracy

85.7%Counter-strafing

11.4°Preaim

615msReaction time

15.4%T opening success

37.9%CT opening success

0.50Enemies flashed / flash

7.8%Flash assists

7.30HE damage / grenade

7.61Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.499 — below the 0.5 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 15.3761% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.07	13%	7 Aug →
ancient	13–4	0.04	17%	7 Aug →
nuke	13–9	0.08	13%	7 Aug →
ancient	2–13	-0.08	12%	6 Aug →
dust2	7–13	-0.04	30%	6 Aug →
nuke	3–13	-0.05	21%	31 Jul →
inferno	16–12	-0.00	18%	31 Jul →
nuke	19–16	0.03	24%	30 Jul →
cache	10–13	-0.02	17%	29 Jul →
dust2	12–16	-0.03	25%	29 Jul →
ancient	8–13	-0.08	15%	29 Jul →
cache	11–13	0.05	27%	28 Jul →
ancient	13–5	-0.04	10%	27 Jul →
cache	9–13	-0.00	29%	27 Jul →
dust2	12–1	0.07	25%	27 Jul →
inferno	13–11	0.07	23%	27 Jul →
anubis	6–13	-0.07	15%	27 Jul →
inferno	16–13	0.02	15%	27 Jul →
dust2	13–9	-0.04	41%	27 Jul →
ancient	13–6	0.01	17%	27 Jul →
cache	13–8	-0.02	14%	27 Jul →
cache	13–2	0.02	13%	26 Jul →
ancient	10–13	-0.00	15%	23 Jul →
cache	6–13	-0.05	10%	23 Jul →
cache	3–13	-0.03	19%	22 Jul →
ancient	13–9	-0.00	15%	22 Jul →
anubis	13–8	-0.04	15%	22 Jul →
inferno	1–13	-0.08	5%	22 Jul →
inferno	9–13	-0.02	10%	21 Jul →
cache	13–10	0.01	28%	21 Jul →
ancient	16–14	0.00	17%	17 Jul →
nuke	13–6	-0.02	16%	17 Jul →
anubis	10–13	-0.04	19%	12 Jul →
inferno	4–13	-0.08	14%	12 Jul →
dust2	13–5	0.04	23%	12 Jul →
inferno	1–13	-0.05	46%	12 Jul →
nuke	7–13	0.01	18%	10 Jul →
mirage	13–7	-0.01	11%	9 Jul →
cache	6–13	-0.05	23%	9 Jul →
dust2	13–5	-0.07	23%	9 Jul →
mirage	13–6	0.07	19%	8 Jul →
inferno	11–13	-0.02	16%	8 Jul →
anubis	9–13	-0.00	20%	4 Jul →
ancient	13–5	0.04	18%	1 Jul →
inferno	13–2	0.04	22%	1 Jul →
anubis	13–16	-0.03	11%	1 Jul →
ancient	13–6	-0.01	8%	30 Jun →
dust2	6–13	0.01	21%	30 Jun →
inferno	13–10	-0.02	12%	30 Jun →
nuke	9–13	-0.05	22%	30 Jun →
anubis	13–10	-0.01	20%	30 Jun →
ancient	14–16	-0.02	11%	29 Jun →
inferno	3–13	-0.03	16%	29 Jun →
nuke	13–10	-0.01	21%	29 Jun →
ancient	13–5	0.05	11%	28 Jun →
inferno	5–13	-0.01	18%	28 Jun →
dust2	13–9	0.05	22%	28 Jun →
dust2	8–13	0.01	21%	28 Jun →
inferno	10–13	0.02	17%	28 Jun →
mirage	14–16	-0.00	12%	27 Jun →
dust2	3–13	-0.05	12%	27 Jun →
anubis	13–10	-0.03	19%	27 Jun →
cache	13–9	0.03	15%	27 Jun →
inferno	6–13	0.00	17%	27 Jun →
dust2	13–8	0.03	11%	26 Jun →
ancient	16–19	-0.07	13%	26 Jun →
inferno	13–16	-0.01	15%	26 Jun →
dust2	13–10	-0.01	16%	25 Jun →
inferno	7–13	0.01	10%	24 Jun →
ancient	13–6	0.02	16%	24 Jun →
dust2	7–13	-0.03	19%	23 Jun →
nuke	13–9	0.05	24%	23 Jun →
cache	13–10	0.07	21%	22 Jun →
ancient	13–8	-0.03	12%	22 Jun →
dust2	13–11	-0.08	13%	22 Jun →
inferno	13–5	-0.01	16%	22 Jun →
ancient	13–8	-0.01	20%	11 Jun →
dust2	7–13	-0.05	9%	8 Jun →
dust2	13–11	-0.05	14%	5 Jun →
mirage	16–14	-0.01	22%	5 Jun →
mirage	7–13	-0.03	8%	5 Jun →
anubis	7–13	0.00	15%	4 Jun →
cache	13–4	-0.06	7%	4 Jun →
inferno	13–10	-0.02	19%	4 Jun →
nuke	10–13	-0.04	27%	3 Jun →
dust2	11–13	-0.06	11%	3 Jun →
ancient	5–13	-0.04	24%	3 Jun →
inferno	9–13	-0.02	29%	2 Jun →
dust2	13–10	0.01	20%	2 Jun →
cache	10–13	-0.04	17%	2 Jun →
overpass	7–13	-0.09	13%	31 May →
nuke	6–13	-0.08	15%	31 May →
ancient	11–13	-0.02	8%	31 May →
inferno	19–16	0.01	13%	30 May →
dust2	8–13	-0.01	11%	30 May →
ancient	19–15	-0.03	9%	26 May →
overpass	10–13	-0.02	13%	26 May →
dust2	7–13	-0.01	22%	26 May →
dust2	10–13	0.04	19%	26 May →
cache	13–10	-0.04	20%	25 May →