kquerl

kquerl — CS2 Stats

76561198263217240[U:1:302951512]Steam profile ↗✓ No bans

1,720Tracked matches27%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,720 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,733 -304 26 Mar – 16 Jun · 38 days played
11,83615,115peak 15,11526 Mar16 Jun
15,115Peak Premier in tracked matches
41Days played since 2026-03-26

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

Share this profile

CSDB.GGkquerlFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim34
Positioning43
Utility51

0–100 skill scores via Leetify.

Recent form

COLD40–59–1Last 10040%Win rateLWLLLWLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · −93ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 649ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 695ms

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 (+2.3 against its own average).

Aim3.4
Utility5.1
Positioning4.3
Opening Duels1.8
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.

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

jL

Plays most like jL 68% 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. 673ms 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

Aim3.4
Positioning4.3
Utility5.1
Mechanics5.1
Opening Duels1.7
Win Impact0.0

Composite 3.6/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time667ms+9ms
first ⅓ avg 658ms → last ⅓ avg 667ms
Headshot accuracy16.3%+0.8%
first ⅓ avg 15.6% → last ⅓ avg 16.3%

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

0.07Best match rating · 8–13 · nuke, 23 May →
33%Best headshot accuracy · 0–13 · mirage, 26 Mar →
406msFastest reaction time · 5–13 · inferno, 25 May →
13–0Biggest win · dust2, 25 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 58% over 12ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD3110–2132%-0.03
nukeB179–853%-0.03
infernoA127–558%-0.02
anubisC125–742%-0.03
overpassD93–633%0.00
ancientD92–722%-0.05
cacheD62–433%-0.07
dust2—21–150%-0.08
train—10–10%-0.02
office—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

169Matches
49%Win rate
1.05Avg K/D
69.6ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke425%0.9117.3
Inferno333%0.548.3
Mirage250%0.607.5
Vertigo10%0.7014.0
Overpass10%0.4812.0

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.

15.1%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.6%Spray accuracy
73.2%Counter-strafing
10.0°Preaim
673msReaction time
34.5%T opening success
39.0%CT opening success
0.57Enemies flashed / flash
2.7%Flash assists
10.86HE damage / grenade
5.53Flashes / 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 34.549% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0225%14 Jul →
cache2–7-0.1022%7 Jul →
mirage6–13-0.0914%7 Jul →
inferno6–13-0.106%16 Jun →
overpass10–13-0.0415%15 Jun →
mirage13–70.0216%15 Jun →
ancient8–13-0.059%11 Jun →
cache11–130.0413%2 Jun →
mirage8–13-0.0318%2 Jun →
anubis13–8-0.0325%2 Jun →
mirage11–13-0.0622%31 May →
mirage7–130.005%29 May →
overpass13–70.0630%28 May →
dust213–0-0.0930%25 May →
ancient8–13-0.0512%25 May →
anubis13–5-0.0916%25 May →
dust27–13-0.0711%25 May →
cache11–13-0.104%25 May →
train4–13-0.0220%25 May →
mirage11–130.0717%25 May →
nuke13–11-0.0614%25 May →
inferno5–13-0.1117%25 May →
nuke8–130.0712%23 May →
anubis14–16-0.0314%23 May →
overpass4–130.0120%21 May →
nuke13–6-0.0413%21 May →
cache7–13-0.1111%20 May →
inferno10–13-0.057%19 May →
mirage8–13-0.0916%19 May →
mirage4–13-0.0520%18 May →
overpass9–130.0317%14 May →
inferno9–10.0325%14 May →
nuke10–13-0.0523%14 May →
mirage2–13-0.0513%10 May →
nuke9–13-0.0815%10 May →
mirage13–7-0.039%10 May →
cache1–13-0.1329%10 May →
inferno7–13-0.070%7 May →
cache13–7-0.0120%7 May →
anubis7–13-0.073%23 Apr →
nuke13–40.0510%23 Apr →
nuke13–40.0020%23 Apr →
mirage13–11-0.0416%22 Apr →
mirage9–130.0219%22 Apr →
mirage10–13-0.0421%22 Apr →
ancient16–13-0.078%22 Apr →
overpass15–15-0.0513%21 Apr →
nuke9–13-0.0623%21 Apr →
mirage9–13-0.0720%21 Apr →
inferno13–4-0.0216%21 Apr →
nuke13–80.0114%21 Apr →
mirage6–13-0.0711%21 Apr →
mirage11–13-0.0510%20 Apr →
mirage13–70.0121%19 Apr →
inferno13–100.0222%18 Apr →
ancient5–13-0.0423%17 Apr →
nuke13–9-0.0620%17 Apr →
inferno13–110.0015%14 Apr →
mirage8–13-0.0422%13 Apr →
office13–9-0.0132%12 Apr →
mirage6–13-0.0517%12 Apr →
mirage13–60.0215%12 Apr →
overpass13–7-0.0314%11 Apr →
nuke8–13-0.0523%11 Apr →
mirage12–16-0.0416%8 Apr →
ancient6–130.0111%8 Apr →
anubis7–130.036%8 Apr →
mirage4–13-0.0419%5 Apr →
nuke13–10-0.0230%4 Apr →
anubis13–50.0321%3 Apr →
anubis13–9-0.0212%3 Apr →
inferno13–11-0.0120%3 Apr →
nuke13–5-0.0214%3 Apr →
mirage13–11-0.0221%3 Apr →
anubis9–13-0.0716%3 Apr →
ancient7–13-0.0714%2 Apr →
mirage13–2-0.055%2 Apr →
nuke13–7-0.0315%2 Apr →
mirage11–13-0.0221%1 Apr →
ancient13–5-0.0118%31 Mar →
inferno13–3-0.037%31 Mar →
ancient8–13-0.069%30 Mar →
mirage6–13-0.066%30 Mar →
nuke10–13-0.0321%30 Mar →
overpass13–90.0113%30 Mar →
anubis7–13-0.035%30 Mar →
mirage13–50.0121%30 Mar →
anubis13–110.0219%30 Mar →
inferno11–13-0.019%30 Mar →
inferno13–40.0422%29 Mar →
mirage10–13-0.0112%29 Mar →
mirage13–7-0.0721%28 Mar →
overpass9–130.0113%27 Mar →
mirage0–13-0.0533%26 Mar →
nuke10–13-0.0710%26 Mar →
anubis6–13-0.0719%26 Mar →
ancient6–13-0.127%26 Mar →
mirage13–80.0016%26 Mar →
anubis5–13-0.0323%26 Mar →
overpass1–130.000%26 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.