PKQ

PKQ — CS2 Stats

CA76561199040616316[U:1:1080350588]Steam profile ↗✓ No bans

2,967Tracked matches57%Win rate2020Tracked since
2,260Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 2,020 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,967 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,506 +1,994 9 Jan – 1 Jul · 21 days played
23,59526,750peak 26,7509 Jan1 Jul
Faceit ELO: 2,020 +0 31 Aug – 22 Sept · 4 observations
2,0202,020peak 2,02031 Aug22 Sept
26,750Peak Premier in tracked matches
2,020Highest Faceit ELO seen on CSDB
46Days played since 2026-01-04

Faceit ELO

  • At peak — 2,020
  • Next: 2,500 ELO at 2,500 — 480 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate33.7%50.9%
Shot accuracy11.3%13.7%
Kill/death ratio1.031.09
Match win rate50.9%48.4%

Share this profile

CSDB.GGPKQFACEITLevel 10 · 2,020 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,020csdb.gg/stats

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Performance scores

Aim69
Positioning55
Utility77

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateLLWWWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −1.1pp headshot accuracy · −52ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 589ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 530ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim6.9
Utility7.7
Positioning5.5
Opening Duels3.7
Clutch4.4

Strong CT-side openerHigh utility contribution

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

ZywOo

Plays most like ZywOo 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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
Positioning5.5
Utility7.7
Mechanics6.4
Opening Duels2.9
Win Impact7.4

Composite 6.3/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time573ms+15ms
first ⅓ avg 558ms → last ⅓ avg 573ms
Headshot accuracy13.2%+1.1%
first ⅓ avg 12.2% → last ⅓ avg 13.2%

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.

Personal bests

0.25Best match rating · 9–3 · inferno, 19 Jun →
26%Best headshot accuracy · 13–9 · dust2, 3 Apr →
391msFastest reaction time · 11–13 · inferno, 9 Apr →
13–1Biggest win · ancient, 20 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 70% over 20infernoWeakest map · 53% over 32
MapGradePlayedRecordWin rateAvg rating
infernoB3217–1553%0.04
dust2A2414–1058%0.01
ancientS2014–670%0.02
mirageA127–558%0.01
overpass—41–325%0.02
cache—30–30%-0.03
vertigo—21–150%0.09
anubis—20–20%-0.02
nuke—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (53% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,188Lifetime kills
1.03K/D
5,413Matches
50.9%Match win rate · Top 50% of Level 10 players
33.7%Headshot %
11.3%Shot accuracy
13,671MVPs
2,260Hours (in match)
5,064Bombs planted
1,406Bombs defused

Most-used weapons

Lifetime map wins

16,005inferno
13,860dust2
3,417vertigo
1,248train
1,154nuke
617lake
496office
289cbble

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

Faceit stats

Combat

1,708Matches
51%Win rate
1.10Avg K/D
81.5ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno35261%1.2316.4
Ancient25050%1.0415.0
Dust222248%1.0815.9
Mirage21149%1.1115.3
Vertigo8848%1.0916.3
Anubis4740%0.9414.7
Train3944%0.9615.7
Overpass2030%0.9714.3

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.

13.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.1%Spray accuracy
78.8%Counter-strafing
9.4°Preaim
577msReaction time
23.5%T opening success
53.4%CT opening success
0.69Enemies flashed / flash
15.9%Flash assists
11.48HE damage / grenade
13.90Flashes / 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. 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 13.6938% — below the 15% mark we flag

    Aim Training →
  2. 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 23.4629% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0111%22 Aug →
inferno10–130.0122%22 Aug →
ancient13–110.0212%22 Aug →
dust213–8-0.005%22 Aug →
dust213–8-0.0316%15 Aug →
inferno13–50.048%14 Aug →
dust25–130.0119%14 Aug →
ancient13–60.0117%12 Aug →
inferno16–140.1318%12 Aug →
ancient13–70.1010%9 Aug →
vertigo12–120.078%1 Aug →
mirage10–130.0117%1 Aug →
mirage13–40.0417%1 Aug →
inferno9–50.1010%27 Jul →
inferno13–60.0219%23 Jul →
inferno7–130.0419%15 Jul →
ancient13–80.0216%1 Jul →
ancient13–16-0.0024%24 Jun →
inferno9–30.257%19 Jun →
inferno3–13-0.0113%19 Jun →
inferno13–4-0.059%19 Jun →
inferno13–90.0013%14 Jun →
mirage3–13-0.103%21 May →
dust213–10-0.0318%21 May →
inferno13–60.0915%18 May →
mirage15–150.0113%14 May →
mirage13–8-0.018%14 May →
inferno6–13-0.0513%13 May →
dust219–22-0.0512%10 May →
cache3–13-0.048%9 May →
anubis11–13-0.027%9 May →
ancient13–8-0.0616%6 May →
dust213–70.0115%6 May →
cache13–16-0.049%5 May →
ancient13–50.0517%2 May →
dust28–130.0210%2 May →
anubis9–13-0.0112%2 May →
inferno7–13-0.0210%2 May →
mirage13–20.0614%1 May →
mirage13–40.0418%30 Apr →
cache6–13-0.018%30 Apr →
ancient6–130.0018%25 Apr →
mirage13–40.088%25 Apr →
overpass9–13-0.0014%20 Apr →
dust213–9-0.0111%13 Apr →
mirage13–110.019%13 Apr →
inferno11–130.0112%9 Apr →
inferno16–14-0.0012%7 Apr →
dust213–90.0526%3 Apr →
ancient13–100.0112%3 Apr →
inferno3–13-0.0318%3 Apr →
ancient13–110.017%3 Apr →
dust29–13-0.0021%1 Apr →
ancient13–80.0311%23 Mar →
dust211–130.016%22 Mar →
inferno11–130.079%22 Mar →
inferno9–13-0.007%22 Mar →
dust213–80.0612%21 Mar →
inferno9–13-0.0417%21 Mar →
inferno0–130.0114%21 Mar →
ancient13–80.0913%21 Mar →
dust213–60.0512%21 Mar →
inferno1–130.048%21 Mar →
overpass5–13-0.0011%21 Mar →
dust25–13-0.0610%21 Mar →
dust216–130.0617%20 Mar →
ancient13–1-0.005%20 Mar →
inferno13–80.0211%19 Mar →
ancient13–10-0.029%19 Mar →
inferno16–130.0114%19 Mar →
dust216–140.0012%14 Mar →
ancient13–16-0.0115%14 Mar →
overpass15–15-0.014%14 Mar →
inferno13–110.0817%14 Mar →
ancient13–50.1617%13 Mar →
ancient4–13-0.0114%13 Mar →
vertigo9–50.1012%13 Mar →
overpass13–50.0821%13 Mar →
dust210–130.0113%6 Mar →
inferno13–110.018%6 Mar →
mirage13–16-0.0712%6 Mar →
inferno15–150.0212%1 Mar →
ancient7–130.0410%28 Feb →
dust213–90.0614%28 Feb →
ancient13–60.026%28 Feb →
dust213–40.099%28 Feb →
mirage13–10.0422%28 Feb →
dust213–60.0613%28 Feb →
inferno13–100.108%28 Feb →
inferno11–130.029%28 Feb →
inferno9–30.1410%28 Feb →
dust27–130.0220%27 Jan →
inferno13–70.075%27 Jan →
inferno13–70.1112%14 Jan →
nuke9–70.058%10 Jan →
dust213–10-0.0124%9 Jan →
dust23–13-0.0315%9 Jan →
ancient10–13-0.035%9 Jan →
inferno11–130.008%9 Jan →
mirage6–130.0214%4 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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