ComqLeX — CS2 Stats

US76561198818558950[U:1:858293222]Steam profile ↗✓ No bans

1,961Tracked matches55%Win rate2020Tracked since

3,454Hours in CS11Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim69

Positioning45

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLWLWLWWLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim6.9

Aggression4.5

Utility6.6

Positioning4.5

Opening Duels0.0

Clutch3.6

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 NiKo 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower opening-duel success.

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. 609ms 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

Aim6.9

Positioning4.5

Utility6.6

Mechanics6.7

Opening Duels0.8

Win Impact6.7

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time593ms−51ms

first ⅓ avg 644ms → last ⅓ avg 593ms

Headshot accuracy20.1%+1.0%

first ⅓ avg 19.1% → 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

0.28Best rating — poseidon 9–3

13–0Biggest win — office

5Longest win streak

8–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	23	10–13	43%	-0.01
mirage	C	9	4–5	44%	0.01
train	D	7	2–5	29%	0.00
anubis	A	7	4–3	57%	-0.00
inferno	S	6	4–2	67%	0.02
nuke	D	5	1–4	20%	0.03
poseidon	C	5	2–3	40%	-0.01
office	C	5	2–3	40%	-0.02
debris	—	4	2–2	50%	0.02
dust2	—	4	0–4	0%	-0.03
shelter	—	3	1–2	33%	-0.02
ancient	—	3	2–1	67%	-0.06
overpass	—	3	1–2	33%	0.01
vertigo	—	3	3–0	100%	-0.02
elevation	—	2	1–1	50%	0.00
boulder	—	2	2–0	100%	-0.02
canopy	—	1	1–0	100%	-0.06
biome	—	1	0–1	0%	-0.06
splinter	—	1	1–0	100%	-0.01
timber	—	1	0–1	0%	-0.03
jura	—	1	1–0	100%	0.01
eldorado	—	1	0–1	0%	0.05
mocha	—	1	0–1	0%	-0.02
pango	—	1	1–0	100%	-0.02
bridge	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,712Lifetime kills

1.03K/D · Top 50% of tracked players

4,270Matches

50.1%Match win rate · Top 25% of tracked players

49.6%Headshot % · Top 50% of tracked players

14.8%Shot accuracy · Top 50% of tracked players

9,308MVPs

2,617Hours (in match)

5,213Bombs planted

1,485Bombs defused

Most-used weapons

AK-4734,798

M4A4 / M4A1-S15,503

Desert Eagle7,233

P2000 / USP-S5,397

AWP4,787

Glock-183,470

SSG 082,624

Galil AR2,364

MP92,040

XM10141,527

Lifetime map wins

5,882dust2

5,485inferno

2,610nuke

2,152vertigo

1,355train

470office

104lake

100italy

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

Faceit stats

Combat

1,612Matches

51%Win rate

1.13Avg K/D

68.1ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Thera	18	72%	1.10	13.6
Breach 3.0	18	67%	1.03	14.2
Biome	14	57%	0.98	13.0
Iris	14	50%	0.91	13.4
CONTEST Kowloon	11	64%	0.78	12.8
Akiba	11	55%	1.29	19.1
Cache	10	30%	0.87	13.4
Mills	10	50%	0.89	14.4

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.

20.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.6%Spray accuracy

80.3%Counter-strafing

9.5°Preaim

609msReaction time

23.9%T opening success

36.4%CT opening success

0.67Enemies flashed / flash

6.4%Flash assists

11.18HE damage / grenade

9.47Flashes / 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 23.8738% — 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.

20% win rate across 5 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
cache	7–13	-0.06	16%	26 Aug →
cache	13–3	0.02	27%	20 Aug →
elevation	2–13	0.01	27%	20 Aug →
canopy	16–12	-0.06	32%	20 Aug →
biome	4–13	-0.06	11%	20 Aug →
splinter	13–6	-0.01	12%	17 Aug →
train	13–4	0.04	19%	12 Aug →
timber	7–13	-0.03	12%	12 Aug →
shelter	6–13	-0.06	8%	11 Aug →
cache	13–5	-0.07	18%	11 Aug →
mirage	2–13	0.04	12%	11 Aug →
elevation	13–3	-0.01	19%	11 Aug →
jura	13–11	0.01	21%	8 Aug →
debris	9–3	0.01	3%	5 Aug →
cache	7–13	0.00	34%	5 Aug →
ancient	13–8	-0.07	21%	5 Aug →
nuke	13–4	0.07	14%	30 Jul →
cache	4–13	0.00	19%	30 Jul →
shelter	0–2	-0.02	0%	30 Jul →
nuke	11–13	-0.00	15%	30 Jul →
cache	7–13	-0.06	35%	30 Jul →
anubis	13–4	-0.05	13%	22 Jul →
anubis	13–4	0.03	50%	22 Jul →
cache	9–13	0.03	23%	18 Jul →
mirage	12–12	-0.02	10%	18 Jul →
boulder	13–11	0.01	33%	18 Jul →
anubis	13–9	0.03	24%	15 Jul →
poseidon	7–9	-0.02	32%	15 Jul →
cache	13–6	0.02	13%	15 Jul →
debris	9–5	0.05	34%	15 Jul →
mirage	4–13	-0.10	30%	15 Jul →
debris	8–8	0.04	17%	9 Jul →
eldorado	8–8	0.05	10%	9 Jul →
debris	7–9	-0.02	16%	9 Jul →
shelter	7–0	0.02	18%	9 Jul →
boulder	13–8	-0.05	8%	8 Jul →
poseidon	9–7	-0.01	25%	8 Jul →
nuke	8–13	-0.01	25%	8 Jul →
office	13–0	0.06	20%	8 Jul →
office	8–13	-0.03	13%	8 Jul →
inferno	9–7	-0.03	29%	1 Jul →
poseidon	7–9	-0.01	41%	1 Jul →
poseidon	0–9	-0.28	0%	1 Jul →
cache	13–11	-0.00	14%	1 Jul →
cache	9–13	0.06	25%	1 Jul →
mocha	5–13	-0.02	18%	30 Jun →
overpass	0–7	-0.10	0%	24 Jun →
inferno	9–13	-0.04	22%	24 Jun →
dust2	10–13	-0.07	31%	24 Jun →
train	13–4	-0.00	13%	17 Jun →
train	7–13	0.03	22%	17 Jun →
train	10–13	0.01	17%	17 Jun →
train	9–13	-0.03	9%	17 Jun →
train	8–13	-0.01	18%	17 Jun →
train	11–13	-0.03	28%	17 Jun →
poseidon	9–3	0.28	21%	10 Jun →
inferno	8–8	0.03	24%	10 Jun →
dust2	12–12	0.00	33%	10 Jun →
ancient	6–13	-0.07	11%	10 Jun →
mirage	12–12	0.04	18%	10 Jun →
dust2	2–13	-0.06	27%	10 Jun →
pango	13–10	-0.02	26%	9 Jun →
mirage	13–11	0.03	27%	4 Jun →
vertigo	13–6	-0.02	50%	3 Jun →
vertigo	13–7	-0.03	23%	3 Jun →
cache	13–5	0.09	20%	28 May →
cache	11–13	0.06	30%	28 May →
anubis	13–9	0.04	20%	27 May →
anubis	10–13	-0.01	23%	27 May →
cache	13–3	0.00	20%	26 May →
office	6–13	-0.08	19%	26 May →
cache	10–13	-0.09	27%	26 May →
office	10–13	-0.04	38%	18 May →
office	13–9	-0.02	29%	17 May →
ancient	13–9	-0.03	10%	6 May →
anubis	11–13	0.02	19%	6 May →
vertigo	13–7	-0.00	19%	5 May →
mirage	13–5	0.00	30%	5 May →
inferno	13–9	0.06	20%	30 Apr →
cache	7–13	-0.03	22%	29 Apr →
cache	5–13	-0.04	8%	29 Apr →
cache	13–11	-0.04	20%	29 Apr →
cache	4–13	0.03	6%	29 Apr →
anubis	10–13	-0.07	3%	29 Apr →
cache	13–7	-0.02	11%	29 Apr →
cache	1–13	-0.06	14%	29 Apr →
cache	10–13	-0.01	15%	29 Apr →
cache	13–6	-0.01	16%	29 Apr →
cache	13–4	0.06	10%	29 Apr →
inferno	13–6	0.02	28%	28 Apr →
nuke	8–13	0.05	30%	28 Apr →
nuke	5–13	0.06	18%	28 Apr →
overpass	7–13	-0.04	12%	28 Apr →
mirage	8–13	0.04	11%	28 Apr →
inferno	13–4	0.10	13%	27 Apr →
overpass	13–5	0.16	14%	27 Apr →
mirage	13–11	0.06	20%	27 Apr →
dust2	9–13	0.01	26%	27 Apr →
mirage	13–6	0.05	43%	26 Apr →
bridge	13–8	0.02	15%	25 Apr →