Qkeyz

Qkeyz — CS2 Stats

DE76561198022025371[U:1:61759643]Steam profile ↗VAC banned

1,871Tracked matches52%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating23,539Top 25% of 194,975 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#35208 of 243065 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 25 days played since 20 Aug 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: 23,539 -525 20 Aug – 20 Sept · 25 days played
21,95425,487peak 25,48720 Aug20 Sept
25,487Peak Premier in tracked matches
1,942Highest Faceit ELO seen on CSDB
25Days played since 2026-08-20

Premier CS Rating

  • 1,948 below peak (25,487)
  • -232 over 30 days · steady
  • Next: Red band at 25,000 — 1,461 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.

Share this profile

CSDB.GGQkeyzFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,539 · Pink bandPEAK ELO1,942csdb.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

Aim79
Positioning69
Utility66

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLWLLLWLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 587ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 584ms

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 Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim7.9
Utility6.6
Positioning6.9
Opening Duels4.2
Clutch2.0

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 574ms 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

Aim7.9
Positioning6.9
Utility6.6
Mechanics7.7
Opening Duels4.0
Win Impact5.6

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time579ms−34ms
first ⅓ avg 613ms → last ⅓ avg 579ms
Headshot accuracy17.9%−0.9%
first ⅓ avg 18.8% → last ⅓ avg 17.9%

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 · 13–7 · mirage, 20 Aug →
39%Best headshot accuracy · 6–13 · dust2, 5 Sept →
406msFastest reaction time · 4–13 · inferno, 12 Sept →
13–2Biggest win · ancient, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–13In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 63% over 16infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%0.01
infernoD175–1229%0.01
ancientA1610–663%0.02
mirageB158–753%0.02
cacheB137–654%0.03
nukeC83–538%0.01
anubisC73–443%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

311Matches
54%Win rate
1.18Avg K/D
77.4ADR
47%Headshot %

Clutches & streaks

30%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2268%1.1017.1
Overpass1656%1.1414.8
Dust21250%1.0314.7
Ancient1118%0.7512.8
Anubis757%0.9315.3
Nuke650%1.3115.0
Train450%0.9412.3
Mirage3100%0.9220.0

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.

17.7%Headshot accuracy
37.3%Accuracy (enemy spotted)
41.4%Spray accuracy
84.6%Counter-strafing
10.2°Preaim
574msReaction time
44.1%T opening success
47.5%CT opening success
0.57Enemies flashed / flash
7.1%Flash assists
12.87HE damage / grenade
9.70Flashes / match

Recommended for you

Spend your practice time on Inferno

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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.038%20 Sept →
dust213–70.0521%20 Sept →
nuke4–130.0124%20 Sept →
inferno8–13-0.0216%12 Sept →
inferno4–13-0.0915%12 Sept →
inferno13–70.0719%12 Sept →
dust213–16-0.0017%11 Sept →
dust28–130.0325%11 Sept →
cache11–130.0520%11 Sept →
ancient16–130.0414%10 Sept →
anubis11–13-0.0211%10 Sept →
ancient13–50.0219%10 Sept →
cache8–130.0316%9 Sept →
nuke10–13-0.0418%9 Sept →
mirage4–13-0.0322%9 Sept →
ancient16–130.0318%8 Sept →
ancient13–30.0816%8 Sept →
dust216–120.0320%8 Sept →
anubis10–130.1120%8 Sept →
nuke13–110.0119%8 Sept →
inferno13–90.0610%8 Sept →
inferno13–60.0820%8 Sept →
dust26–13-0.0311%8 Sept →
ancient15–15-0.0417%7 Sept →
inferno13–60.0119%7 Sept →
cache13–30.1027%7 Sept →
mirage13–40.0716%7 Sept →
ancient11–130.0517%6 Sept →
cache13–80.0923%6 Sept →
dust213–100.0817%6 Sept →
dust211–13-0.0016%6 Sept →
ancient13–20.0020%6 Sept →
dust213–80.0319%6 Sept →
nuke15–15-0.0113%5 Sept →
anubis13–7-0.0115%5 Sept →
anubis13–50.0624%5 Sept →
dust26–13-0.0239%5 Sept →
inferno8–13-0.0323%5 Sept →
mirage3–12-0.0232%4 Sept →
mirage7–13-0.0310%4 Sept →
nuke13–110.0927%4 Sept →
ancient12–160.0114%3 Sept →
inferno9–130.0225%3 Sept →
inferno7–13-0.0713%2 Sept →
dust213–11-0.0415%2 Sept →
inferno5–130.0313%1 Sept →
cache9–13-0.0332%1 Sept →
mirage13–60.0419%1 Sept →
dust213–110.0031%1 Sept →
inferno11–130.0531%31 Aug →
inferno7–130.0229%31 Aug →
mirage9–130.0117%30 Aug →
dust211–130.0212%30 Aug →
mirage14–160.0019%30 Aug →
dust210–13-0.0518%30 Aug →
cache13–100.0519%30 Aug →
mirage13–8-0.0411%29 Aug →
cache11–13-0.036%29 Aug →
mirage16–130.0415%29 Aug →
ancient13–110.0113%29 Aug →
cache13–110.0322%28 Aug →
dust213–110.0415%28 Aug →
nuke15–150.0213%28 Aug →
inferno13–30.0213%28 Aug →
inferno7–13-0.0322%27 Aug →
dust213–10-0.0124%27 Aug →
mirage13–70.0723%26 Aug →
cache8–130.0314%26 Aug →
dust213–50.0424%25 Aug →
dust213–90.0214%25 Aug →
ancient13–70.0212%25 Aug →
ancient11–13-0.0116%25 Aug →
mirage8–130.0119%24 Aug →
nuke16–13-0.0111%24 Aug →
inferno7–130.0216%24 Aug →
ancient13–11-0.0520%23 Aug →
anubis6–130.0011%23 Aug →
cache2–13-0.0314%23 Aug →
cache16–140.0523%23 Aug →
cache13–60.0526%23 Aug →
ancient7–130.0312%23 Aug →
mirage15–150.0118%22 Aug →
dust211–130.0219%22 Aug →
dust210–130.0312%22 Aug →
mirage13–80.0511%22 Aug →
anubis6–13-0.0418%22 Aug →
dust25–130.0226%22 Aug →
dust28–13-0.0317%21 Aug →
ancient13–50.0621%21 Aug →
dust213–16-0.0119%21 Aug →
cache13–70.0531%21 Aug →
inferno14–160.1023%21 Aug →
dust29–130.0325%21 Aug →
mirage13–9-0.0317%21 Aug →
ancient11–130.0114%20 Aug →
mirage13–70.1333%20 Aug →
dust213–80.0724%20 Aug →
ancient13–30.0526%20 Aug →
anubis13–90.0520%20 Aug →
nuke14–16-0.0014%20 Aug →

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 →