qrz

qrz — CS2 Stats

BR76561198084854177[U:1:124588449]Steam profile ↗✓ No bans

299Tracked matches57%Win rate2020Tracked since
3,038Hours in CS15Hrs last 2 wks
CSDB Rating6.0 SolidSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.8%43.8%44.8%3.0% short
Shot accuracy12.3%12.0%12.4%meets
Kill/death ratio0.961.021.030.07 short
Match win rate43.4%44.7%45.2%1.8% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGqrzFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

HOT47–52–1Last 10047%Win rateWWWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +5.7pp headshot accuracy · +71ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 638ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 616ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

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 (+2.2 against its own average).

Aim8.0
Utility5.9
Positioning4.4
Opening Duels0.6
Clutch3.8

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: utility contribution, aim profile.

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

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 563ms 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

Aim8.0
Positioning4.4
Utility5.9
Mechanics7.2
Opening Duels0.1
Win Impact7.2

Composite 6.0/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time550ms−94ms
first ⅓ avg 644ms → last ⅓ avg 550ms
Headshot accuracy19.6%+0.0%
first ⅓ avg 19.6% → last ⅓ avg 19.6%

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

0.08Best match rating · 13–7 · ancient, 21 Oct →
43%Best headshot accuracy · 13–4 · anubis, 20 Oct →
328msFastest reaction time · 4–13 · anubis, 4 Sept →
13–1Biggest win · inferno, 30 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
12–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 60% over 20nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3518–1751%0.01
anubisA2012–860%-0.01
ancientB158–753%-0.02
mirageB84–450%-0.02
nukeD61–517%0.00
dust2D61–517%-0.02
overpassA53–260%-0.02
train—20–20%-0.03
cache—10–10%-0.06
vertigo—10–10%-0.06
office—10–10%-0.03

Across the last 100 tracked matches.

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

Lifetime stats

76,538Lifetime kills
0.96K/D
4,154Matches
43.4%Match win rate
41.8%Headshot %
12.3%Shot accuracy · Top 50% of Level 5 players
8,308MVPs
2,041Hours (in match)
5,024Bombs planted
1,643Bombs defused

Most-used weapons

AK-4721,758
AWP8,854
P903,064
MAC-101,952
FAMAS1,627

Lifetime map wins

8,411dust2
8,197inferno
2,021vertigo
1,820nuke
854train
164lake
134cbble
124safehouse

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

Faceit stats

Combat

48Matches
56%Win rate
1.09Avg K/D
70.4ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1567%1.3611.9
Ancient862%1.3013.9
Mirage633%0.7511.0
Anubis683%1.0611.3
Dust2333%1.0118.3
Vertigo20%0.729.5
Overpass1100%1.0428.0
Train1100%0.8315.0

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.

18.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.8%Spray accuracy
82.3%Counter-strafing
9.2°Preaim
563msReaction time
29.6%T opening success
30.6%CT opening success
0.45Enemies flashed / flash
2.5%Flash assists
10.47HE damage / grenade
11.39Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4466 — below the 0.5 mark we flag

    Grenade Lineups →
  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 29.6494% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.0611%30 Oct →
anubis13–10-0.0015%29 Oct →
anubis13–100.0623%28 Oct →
inferno13–20.0620%28 Oct →
anubis10–13-0.0521%27 Oct →
inferno13–90.0528%27 Oct →
ancient13–11-0.0412%25 Oct →
anubis17–19-0.0515%23 Oct →
ancient13–70.0826%21 Oct →
anubis13–4-0.0143%20 Oct →
inferno11–13-0.0310%19 Oct →
nuke13–160.0011%19 Oct →
inferno13–110.0133%19 Oct →
mirage5–13-0.0614%18 Oct →
nuke14–16-0.0117%16 Oct →
anubis13–7-0.0018%12 Oct →
ancient13–9-0.028%12 Oct →
inferno13–110.0422%11 Oct →
ancient7–13-0.027%10 Oct →
inferno8–130.0615%9 Oct →
inferno11–130.0629%2 Oct →
nuke11–13-0.0712%29 Sept →
ancient13–3-0.0028%28 Sept →
inferno19–170.0416%15 Sept →
anubis13–80.0421%14 Sept →
anubis4–130.0033%4 Sept →
ancient13–7-0.0114%4 Sept →
inferno8–130.0113%4 Sept →
anubis13–60.0526%21 Aug →
inferno10–13-0.0116%19 Aug →
inferno13–4-0.0537%19 Aug →
anubis13–110.0322%19 Aug →
inferno16–14-0.0313%14 Aug →
anubis8–13-0.0526%14 Aug →
ancient10–13-0.0717%10 Aug →
anubis13–70.0133%5 Aug →
inferno13–110.0138%8 Jul →
ancient5–13-0.0718%8 Jul →
inferno5–13-0.0716%4 Jul →
inferno5–80.0240%4 Jul →
ancient16–13-0.0112%3 Jul →
inferno13–8-0.0129%3 Jul →
overpass13–9-0.0024%3 Jul →
anubis7–13-0.0422%3 Jul →
inferno13–16-0.0112%2 Jul →
ancient11–13-0.083%1 Jul →
inferno5–130.0621%30 Jun →
inferno13–50.0824%29 Jun →
dust25–13-0.0511%29 Jun →
ancient10–13-0.0719%28 Jun →
anubis13–9-0.0111%26 Jun →
inferno6–13-0.0325%24 Jun →
inferno8–130.0426%24 Jun →
anubis9–13-0.0413%23 Jun →
dust28–13-0.0315%23 Jun →
inferno16–13-0.0515%19 Jun →
mirage13–11-0.0415%19 Jun →
inferno13–10-0.0621%19 Jun →
inferno5–13-0.0115%15 Jun →
overpass5–13-0.0311%15 Jun →
ancient13–60.0414%15 Jun →
inferno13–11-0.0314%15 Jun →
dust217–19-0.0623%15 Jun →
anubis6–13-0.0616%14 Jun →
dust213–30.0122%13 Jun →
inferno10–13-0.0414%9 Jun →
inferno9–13-0.0512%3 Jun →
anubis4–13-0.0718%3 Jun →
anubis13–80.0117%2 Jun →
anubis16–14-0.0217%22 May →
mirage13–2-0.0024%16 May →
overpass13–9-0.0427%5 May →
mirage6–13-0.0418%4 May →
dust211–13-0.0233%1 May →
cache9–13-0.0610%1 May →
anubis13–11-0.0219%1 May →
mirage13–60.0421%25 Apr →
inferno13–70.0116%25 Apr →
nuke13–90.0429%4 Apr →
ancient7–13-0.0713%21 Mar →
inferno8–13-0.0818%25 Jan →
nuke14–160.0112%24 Jan →
inferno13–110.0740%24 Jan →
mirage2–13-0.0924%22 Jan →
nuke13–130.0422%9 Jan →
inferno17–130.0514%7 Jan →
mirage13–10-0.0210%7 Jan →
ancient10–130.0121%7 Jan →
train0–6-0.0523%6 Jan →
dust210–130.0021%6 Jan →
inferno13–20.0612%15 Dec →
overpass13–20.0620%11 Dec →
mirage8–130.0317%29 Nov →
inferno10–130.0316%15 Nov →
vertigo3–13-0.0630%23 Oct →
overpass3–13-0.0710%11 Oct →
office8–13-0.0315%2 Oct →
train7–13-0.0119%2 Oct →
ancient13–90.0725%2 Oct →
inferno11–130.0216%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 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.