ComqLeX

ComqLeX — CS2 Stats

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

1,962Tracked matches55%Win rate2020Tracked since
3,457Hours in CS1Hrs last 2 wks
CSDB Rating5.7 SolidSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,962
0.0ppWin rate · 55.2% → 55.2%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 25 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,011 -864 26 Apr4 Jun · 7 days played
22,55423,875peak 23,87526 Apr4 Jun
23,875Peak Premier in tracked matches
34Days played since 2026-04-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim69
Positioning45
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateLWLWLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +2.5pp headshot accuracy · +66ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 672ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.8 against its own average).

Aim6.9
Utility6.6
Positioning4.5
Opening Duels0.5
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Personal bests

0.28Best match rating · 9–3 · poseidon, 10 Jun
50%Best headshot accuracy · 13–4 · anubis, 22 Jul
438msFastest reaction time · 7–0 · shelter, 9 Jul
13–0Biggest win · office, 8 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
88In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC23101343%-0.01
mirageC94544%0.01
trainD72529%0.00
anubisA74357%-0.00
infernoS64267%0.02
nukeD51420%0.03
poseidonC52340%-0.01
officeC52340%-0.02
debris42250%0.02
dust24040%-0.03
shelter31233%-0.02
ancient32167%-0.06
overpass31233%0.01
vertigo330100%-0.02
elevation21150%0.00
boulder220100%-0.02
canopy110100%-0.06
biome1010%-0.06
splinter110100%-0.01
timber1010%-0.03
jura110100%0.01
eldorado1010%0.05
mocha1010%-0.02
pango110100%-0.02
bridge110100%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

90,739Lifetime kills
1.03K/D · Top 50% of tracked players
4,271Matches
50.1%Match win rate · Top 25% of tracked players
49.6%Headshot % · Top 25% of tracked players
14.8%Shot accuracy · Top 50% of tracked players
9,312MVPs
2,617Hours (in match)
5,217Bombs planted
1,485Bombs defused

Most-used weapons

AK-4734,809
AWP4,787
SSG 082,624
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

1,613Matches
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 resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Breach 3.01867%1.0314.2
Thera1872%1.1013.6
Biome1560%0.9712.9
Iris1450%0.9113.4
Akiba1155%1.2919.1
CONTEST Kowloon1164%0.7812.8
Palacio1040%0.7512.2
CONTEST Bounce1020%0.578.5

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.

  1. 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 & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0616%26 Aug
cache13–30.0227%20 Aug
elevation2–130.0127%20 Aug
canopy16–12-0.0632%20 Aug
biome4–13-0.0611%20 Aug
splinter13–6-0.0112%17 Aug
train13–40.0419%12 Aug
timber7–13-0.0312%12 Aug
shelter6–13-0.068%11 Aug
cache13–5-0.0718%11 Aug
mirage2–130.0412%11 Aug
elevation13–3-0.0119%11 Aug
jura13–110.0121%8 Aug
debris9–30.013%5 Aug
cache7–130.0034%5 Aug
ancient13–8-0.0721%5 Aug
nuke13–40.0714%30 Jul
cache4–130.0019%30 Jul
shelter0–2-0.020%30 Jul
nuke11–13-0.0015%30 Jul
cache7–13-0.0635%30 Jul
anubis13–4-0.0513%22 Jul
anubis13–40.0350%22 Jul
cache9–130.0323%18 Jul
mirage12–12-0.0210%18 Jul
boulder13–110.0133%18 Jul
anubis13–90.0324%15 Jul
poseidon7–9-0.0232%15 Jul
cache13–60.0213%15 Jul
debris9–50.0534%15 Jul
mirage4–13-0.1030%15 Jul
debris8–80.0417%9 Jul
eldorado8–80.0510%9 Jul
debris7–9-0.0216%9 Jul
shelter7–00.0218%9 Jul
boulder13–8-0.058%8 Jul
poseidon9–7-0.0125%8 Jul
nuke8–13-0.0125%8 Jul
office13–00.0620%8 Jul
office8–13-0.0313%8 Jul
inferno9–7-0.0329%1 Jul
poseidon7–9-0.0141%1 Jul
poseidon0–9-0.280%1 Jul
cache13–11-0.0014%1 Jul
cache9–130.0625%1 Jul
mocha5–13-0.0218%30 Jun
overpass0–7-0.100%24 Jun
inferno9–13-0.0422%24 Jun
dust210–13-0.0731%24 Jun
train13–4-0.0013%17 Jun
train7–130.0322%17 Jun
train10–130.0117%17 Jun
train9–13-0.039%17 Jun
train8–13-0.0118%17 Jun
train11–13-0.0328%17 Jun
poseidon9–30.2821%10 Jun
inferno8–80.0324%10 Jun
dust212–120.0033%10 Jun
ancient6–13-0.0711%10 Jun
mirage12–120.0418%10 Jun
dust22–13-0.0627%10 Jun
pango13–10-0.0226%9 Jun
mirage13–110.0327%4 Jun
vertigo13–6-0.0250%3 Jun
vertigo13–7-0.0323%3 Jun
cache13–50.0920%28 May
cache11–130.0630%28 May
anubis13–90.0420%27 May
anubis10–13-0.0123%27 May
cache13–30.0020%26 May
office6–13-0.0819%26 May
cache10–13-0.0927%26 May
office10–13-0.0438%18 May
office13–9-0.0229%17 May
ancient13–9-0.0310%6 May
anubis11–130.0219%6 May
vertigo13–7-0.0019%5 May
mirage13–50.0030%5 May
inferno13–90.0620%30 Apr
cache7–13-0.0322%29 Apr
cache5–13-0.048%29 Apr
cache13–11-0.0420%29 Apr
cache4–130.036%29 Apr
anubis10–13-0.073%29 Apr
cache13–7-0.0211%29 Apr
cache1–13-0.0614%29 Apr
cache10–13-0.0115%29 Apr
cache13–6-0.0116%29 Apr
cache13–40.0610%29 Apr
inferno13–60.0228%28 Apr
nuke8–130.0530%28 Apr
nuke5–130.0618%28 Apr
overpass7–13-0.0412%28 Apr
mirage8–130.0411%28 Apr
inferno13–40.1013%27 Apr
overpass13–50.1614%27 Apr
mirage13–110.0620%27 Apr
dust29–130.0126%27 Apr
mirage13–60.0543%26 Apr
bridge13–80.0215%25 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →