QuizeRR

QuizeRR — CS2 Stats

PL76561198046817895[U:1:86552167]Steam profile ↗✓ No bans

796Tracked matches59%Win rate2020Tracked since
4,339Hours in CS9Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating19,964Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#87618 of 261542 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 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.

Rating over time

Premier CS Rating: 19,964 +413 21 Jun – 5 Nov · 27 days played
19,19022,497peak 22,49721 Jun5 Nov
22,743Peak Premier in tracked matches
46Days played since 2025-11-22

Premier CS Rating

  • 2,533 below peak (22,497)
  • -1,981 over 30 days · declining
  • -1,833 over 90 days
  • Next: Pink band at 20,000 — 36 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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 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 rate44.6%43.8%44.8%meets
Shot accuracy14.2%12.0%12.4%above
Kill/death ratio1.011.021.030.03 short
Match win rate40.0%44.7%45.2%5.2% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGQuizeRRFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,964 · Purple bandcsdb.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

Aim78
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY56–35–9Last 10056%Win rateWWLLLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · +19ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 635ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 625ms

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 (+3.1 against its own average).

Aim7.8
Utility5.8
Positioning4.4
Opening Duels0.5
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

ropz

Plays most like ropz 84% 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 625ms 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

Aim7.8
Positioning4.4
Utility5.8
Mechanics6.8
Opening Duels1.2
Win Impact7.9

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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time639ms−24ms
first ⅓ avg 663ms → last ⅓ avg 639ms
Headshot accuracy21.8%−0.7%
first ⅓ avg 22.5% → last ⅓ avg 21.8%

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

0.18Best match rating · 7–0 · anubis, 3 Oct →
50%Best headshot accuracy · 13–1 · shelter, 10 Aug →
438msFastest reaction time · 8–13 · anubis, 27 Sept →
13–1Biggest win · ancient, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
3–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 76% over 17ancientWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
ancientC187–1139%-0.00
mirageS1711–665%0.02
dust2S1713–476%0.01
nukeB158–753%0.00
infernoB115–645%0.00
anubisA106–460%0.03
cacheA95–456%-0.00
overpass—20–20%-0.03
shelter—11–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,567Lifetime kills
1.01K/D
5,315Matches
40.0%Match win rate
44.6%Headshot % · Top 50% of Level 5 players
14.2%Shot accuracy · Top 50% of Level 5 players
12,862MVPs
2,408Hours (in match)
5,307Bombs planted
1,036Bombs defused

Most-used weapons

AK-4737,144
AWP17,316
P907,494
P2502,531
AUG1,955
SG 5531,928

Lifetime map wins

13,252dust2
3,553inferno
2,176nuke
1,775vertigo
1,724train
727cbble
173office
55safehouse

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

Faceit stats

Combat

315Matches
51%Win rate
0.91Avg K/D
79.2ADR
38%Headshot %

Clutches & streaks

20%1v1 clutch win
33%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.4018.7
Ancient20%1.0216.0
Inferno20%0.6810.5
Nuke10%0.9313.0

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.

21.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.4%Spray accuracy
80.6%Counter-strafing
9.0°Preaim
625msReaction time
32.0%T opening success
37.4%CT opening success
0.65Enemies flashed / flash
4.3%Flash assists
6.42HE damage / grenade
11.86Flashes / 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 32.0069% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0321%5 Nov →
mirage13–100.0720%4 Nov →
inferno5–13-0.0415%4 Nov →
nuke9–13-0.0227%4 Nov →
cache4–13-0.0020%3 Nov →
dust26–13-0.0520%2 Nov →
nuke10–130.0923%2 Nov →
inferno13–9-0.0420%2 Nov →
dust213–60.0918%2 Nov →
dust213–60.0135%10 Oct →
ancient9–13-0.0423%10 Oct →
anubis15–150.0214%7 Oct →
ancient2–13-0.0117%7 Oct →
cache13–40.0926%7 Oct →
cache0–13-0.048%5 Oct →
anubis13–16-0.0013%4 Oct →
nuke13–60.0027%4 Oct →
anubis7–00.1818%3 Oct →
mirage1–90.0133%3 Oct →
ancient13–10.0129%3 Oct →
nuke13–100.0720%3 Oct →
anubis13–90.0223%3 Oct →
dust213–20.1030%3 Oct →
cache13–40.0518%3 Oct →
inferno13–8-0.0127%1 Oct →
nuke13–70.0121%28 Sept →
mirage8–13-0.0127%28 Sept →
anubis8–13-0.0526%27 Sept →
ancient13–110.0011%5 Sept →
mirage13–40.0115%5 Sept →
anubis9–00.0830%5 Sept →
cache13–9-0.0015%5 Sept →
dust213–10.1128%4 Sept →
mirage13–100.0817%4 Sept →
anubis13–100.0028%4 Sept →
ancient8–13-0.0218%2 Sept →
ancient13–70.0823%31 Aug →
mirage14–160.0222%31 Aug →
nuke10–13-0.0015%30 Aug →
dust213–50.0314%30 Aug →
cache15–15-0.0429%30 Aug →
nuke13–4-0.0117%10 Aug →
ancient15–15-0.0224%10 Aug →
inferno10–130.0431%10 Aug →
shelter13–10.0050%10 Aug →
ancient6–13-0.0728%7 Aug →
anubis13–70.0328%7 Aug →
cache13–7-0.0117%7 Aug →
mirage8–13-0.0424%6 Aug →
dust26–13-0.0528%6 Aug →
inferno4–13-0.0138%6 Aug →
cache13–100.0117%6 Aug →
mirage13–4-0.0623%6 Aug →
nuke13–7-0.0716%6 Aug →
nuke14–16-0.0432%5 Aug →
inferno16–120.0715%5 Aug →
mirage13–10-0.0126%5 Aug →
dust213–8-0.0021%5 Aug →
dust213–4-0.0327%5 Aug →
ancient9–130.0124%5 Aug →
dust215–150.0127%4 Aug →
ancient8–13-0.0530%4 Aug →
dust213–5-0.049%3 Aug →
mirage13–10-0.0815%3 Aug →
nuke5–13-0.099%29 Jul →
cache10–13-0.0629%29 Jul →
mirage13–11-0.0729%27 Jul →
mirage13–20.0840%27 Jul →
ancient13–10.0316%25 Jul →
dust213–16-0.0317%24 Jul →
mirage3–11-0.0613%24 Jul →
ancient13–90.0416%24 Jul →
inferno15–150.0633%19 Jul →
anubis13–50.0417%19 Jul →
mirage13–90.0240%27 Jun →
dust213–110.0417%27 Jun →
dust213–60.0213%23 Jun →
overpass3–13-0.0745%22 Jun →
anubis6–130.018%22 Jun →
ancient9–130.0626%21 Jun →
ancient13–10-0.0519%12 Jun →
dust213–10-0.0820%13 May →
dust213–9-0.0430%13 May →
ancient14–160.0326%23 Apr →
mirage12–120.1320%10 Apr →
dust213–70.0119%10 Apr →
mirage13–90.1435%10 Apr →
nuke13–60.0115%25 Mar →
ancient12–12-0.0429%19 Mar →
nuke16–12-0.0119%18 Mar →
inferno13–9-0.0022%16 Mar →
nuke15–15-0.0217%15 Mar →
inferno11–13-0.0326%15 Mar →
ancient9–13-0.0317%13 Mar →
inferno10–13-0.0021%12 Mar →
nuke13–30.0628%12 Mar →
inferno13–6-0.0221%11 Mar →
nuke15–150.0818%20 Dec →
mirage13–50.0914%20 Dec →
overpass10–130.0027%22 Nov →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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