qern

qern — CS2 Stats

NO76561197960684087[U:1:418359]Steam profile ↗✓ No bans

752Tracked matches63%Win rate2020Tracked since
3,525Hours in CS
CSDB Rating6.9 SolidPositional Player
CSDB Leaderboard#71006 of 238770 tracked
FaceitLevel 10 · 2,033 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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. 36 days played since 25 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,492 +614 25 Nov20 May · 19 days played
18,11521,069peak 21,06925 Nov20 May
21,618Peak Premier in tracked matches
2,033Highest Faceit ELO seen on CSDB
36Days played since 2025-11-25

Faceit ELO

  • At peak — 2,033
  • Next: 2,500 ELO at 2,500 467 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=28,192), 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 rate41.4%51.0%
Shot accuracy19.0%13.7%
Kill/death ratio2.011.09
Match win rate49.8%48.4%

Share this profile

CSDB.GGqernFACEITLevel 10 · 2,033 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,033csdb.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

Aim81
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53425Last 10053%Win rateTWLLWWTWTW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · −26ms 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

  • 221 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 517ms

Last 10

  • 523 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 20

  • 1073 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 579ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.1
Utility5.8
Positioning6.1
Opening Duels5.2
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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

Reaction time. 592ms 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

Aim8.1
Positioning6.1
Utility5.8
Mechanics6.4
Opening Duels4.5
Win Impact9.3

Composite 6.9/10 (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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time597ms−5ms
first ⅓ avg 602ms → last ⅓ avg 597ms
Headshot accuracy22.9%−3.5%
first ⅓ avg 26.4% → last ⅓ avg 22.9%

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

0.13Best match rating · 13–9 · anubis, 21 Jan
53%Best headshot accuracy · 8–13 · mirage, 5 Jan
406msFastest reaction time · 13–3 · mirage, 22 Jan
13–2Biggest win · anubis, 9 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
109In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 24dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2416867%0.03
infernoC23101343%0.00
ancientB23111248%0.02
anubisA85363%0.03
dust2D72529%0.01
overpassA53260%0.03
cache43175%0.01
nuke31233%0.05
train32167%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

196,939Lifetime kills
2.01K/D · Top 5% of Level 10 players
5,528Matches
49.8%Match win rate · Top 50% of Level 10 players
41.4%Headshot %
19.0%Shot accuracy · Top 10% of Level 10 players
21,177MVPs
3,525Hours (in match)
9,387Bombs planted
4,263Bombs defused

Most-used weapons

AK-4748,914
AWP45,033
FAMAS6,086
MAG-74,873
P2504,765
SSG 083,931

Lifetime map wins

12,955inferno
7,232dust2
3,705cbble
3,296train
3,264nuke
151vertigo
141aztec
140office

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

Faceit stats

Combat

417Matches
54%Win rate
1.37Avg K/D
77.9ADR
43%Headshot %

Clutches & streaks

14%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5100%1.4418.0
Inferno475%0.8212.0
Mirage450%1.2717.8
Anubis250%1.0916.0
Dust21100%1.8220.0

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.

23.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.7%Spray accuracy
78.9%Counter-strafing
8.8°Preaim
592msReaction time
45.4%T opening success
50.9%CT opening success
0.52Enemies flashed / flash
7.4%Flash assists
10.66HE damage / grenade
9.47Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–150.1020%2 Sept
ancient13–11-0.0224%2 Sept
mirage8–13-0.0216%1 Sept
inferno8–13-0.0224%1 Sept
mirage13–30.1140%1 Sept
mirage13–50.0826%30 Aug
ancient15–150.0217%30 Aug
cache13–80.0025%30 Aug
mirage15–15-0.0412%28 Aug
inferno13–7-0.0223%28 Aug
inferno5–13-0.0542%16 Aug
ancient7–13-0.0331%16 Aug
anubis13–30.0220%15 Aug
cache13–110.0011%15 Aug
inferno11–130.0330%20 May
inferno11–13-0.0019%15 May
ancient13–60.0223%15 May
mirage16–130.0125%15 May
cache13–10-0.0234%15 May
ancient10–130.0421%13 May
inferno9–130.0322%13 May
mirage13–110.0517%13 May
dust211–130.0237%9 May
nuke9–130.0625%9 May
mirage13–50.0113%9 May
anubis13–2-0.0121%9 May
ancient13–100.0017%9 May
mirage13–9-0.0013%9 May
dust213–80.0226%8 May
overpass13–60.0228%8 May
mirage4–13-0.0410%8 May
inferno13–100.0025%8 May
inferno13–100.0119%5 May
mirage13–5-0.0427%5 May
anubis4–130.0133%2 May
ancient11–130.0124%2 May
cache5–130.0426%2 May
nuke13–100.0538%12 Apr
inferno13–8-0.0021%12 Apr
ancient11–130.0338%12 Apr
inferno13–5-0.0027%10 Apr
mirage13–30.1231%10 Apr
inferno7–13-0.0212%10 Apr
inferno13–110.0326%9 Apr
dust213–5-0.0426%9 Apr
mirage13–90.0330%9 Apr
anubis5–130.0429%9 Apr
ancient9–13-0.0335%7 Apr
dust210–13-0.0328%2 Apr
anubis13–100.0831%2 Apr
ancient13–70.0421%2 Apr
mirage13–100.0132%1 Apr
overpass13–40.0243%1 Apr
dust29–130.0739%24 Mar
inferno7–13-0.0314%24 Mar
ancient13–9-0.028%24 Mar
inferno13–50.0526%19 Mar
ancient14–160.0116%19 Mar
ancient10–130.0931%19 Mar
mirage13–80.0727%19 Mar
ancient13–60.0721%18 Mar
overpass15–150.0422%18 Mar
inferno13–80.0133%2 Mar
inferno6–130.0218%28 Feb
ancient13–110.0220%28 Feb
mirage8–130.0112%28 Feb
dust29–130.0722%24 Jan
ancient5–13-0.0224%24 Jan
inferno11–13-0.0037%24 Jan
ancient8–13-0.0432%24 Jan
mirage13–110.0420%24 Jan
anubis11–13-0.0319%22 Jan
mirage10–130.0124%22 Jan
inferno13–8-0.0427%22 Jan
mirage13–30.0311%22 Jan
ancient13–11-0.0219%21 Jan
anubis13–90.1332%21 Jan
mirage8–130.0732%21 Jan
anubis13–50.0130%15 Jan
inferno0–13-0.0929%15 Jan
nuke15–150.0529%5 Jan
inferno13–110.0321%5 Jan
ancient13–60.1025%5 Jan
mirage8–13-0.0253%5 Jan
mirage19–17-0.0416%4 Jan
ancient13–40.1024%4 Jan
mirage13–20.1023%4 Jan
train14–16-0.0131%1 Jan
ancient5–13-0.0331%1 Jan
mirage16–120.0537%1 Jan
mirage10–13-0.0120%29 Dec
overpass6–130.0323%29 Dec
train16–120.0023%29 Dec
train13–5-0.0152%22 Dec
dust24–13-0.0224%18 Dec
ancient13–110.0925%18 Dec
inferno7–130.0311%18 Dec
overpass13–90.036%9 Dec
inferno10–13-0.0326%9 Dec
ancient7–130.0837%25 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →