Rozzer

Rozzer — CS2 Stats

GB76561199480376564[U:1:1520110836]Steam profile ↗✓ No bans

282Tracked matches60%Win rate2023Tracked since
646Hours in CS66Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating12,226Blue band · top ~43.1% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). 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: 12,226 +2,226 2 Oct – 27 Oct · 17 days played
10,00013,011peak 13,0112 Oct27 Oct
13,360Peak Premier in tracked matches
24Days played since 2026-10-02

Premier CS Rating

  • 785 below peak (13,011)
  • +2,226 over 30 days · improving
  • Next: Purple band at 15,000 — 2,774 to go
  • Reached: Blue band · Light Blue band

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate55.3%42.7%43.8%above
Shot accuracy2.1%11.2%12.0%9.9% short
Kill/death ratio1.400.991.02above
Match win rate46.4%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRozzerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,226 · Blue 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

Aim66
Positioning56
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWWLWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +0.9pp headshot accuracy · −4ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 566ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 568ms

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 (+2.1 against its own average).

Aim6.6
Utility7.2
Positioning5.6
Opening Duels2.3
Clutch5.2

Strong CT-side opener

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

iM

Plays most like iM 75% 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. 568ms 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

Aim6.6
Positioning5.6
Utility7.2
Mechanics6.1
Opening Duels3.5
Win Impact8.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time573ms−17ms
first ⅓ avg 590ms → last ⅓ avg 573ms
Headshot accuracy10.3%−0.6%
first ⅓ avg 10.8% → last ⅓ avg 10.3%

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

0.17Best match rating · 13–1 · ancient, 3 Oct →
24%Best headshot accuracy · 3–13 · mirage, 13 Oct →
398msFastest reaction time · 2–13 · inferno, 24 Oct →
13–0Biggest win · mirage, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 82% over 11mirageWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
mirageD279–1833%-0.01
dust2A1912–763%0.02
infernoB157–847%-0.01
cacheS119–282%0.02
anubisB115–645%-0.02
ancientA85–363%0.03
nukeS75–271%0.00
train—20–20%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,670Lifetime kills
1.40K/D · Top 10% of Level 4 players
661Matches
46.4%Match win rate · Top 50% of Level 4 players
55.3%Headshot % · Top 10% of Level 4 players
2.1%Shot accuracy
1,120MVPs
233Hours (in match)
868Bombs planted
204Bombs defused

Most-used weapons

Lifetime map wins

1,116dust2
620inferno
416nuke
270vertigo
90train

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

Faceit stats

Combat

18Matches
50%Win rate
1.06Avg K/D
72.4ADR
27%Headshot %

Clutches & streaks

46%1v1 clutch win
31%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%1.0215.3
Anubis540%0.8613.4
Dust22100%1.4216.5
Nuke250%0.9212.5
Inferno2100%1.5316.0
Cache1100%0.9314.0

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.

10.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
41.3%Spray accuracy
77.3%Counter-strafing
10.5°Preaim
568msReaction time
38.7%T opening success
49.4%CT opening success
0.66Enemies flashed / flash
5.1%Flash assists
7.31HE damage / grenade
14.23Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.4353% — below the 15% mark we flag

    Aim Training →
  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 38.6667% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.025%27 Oct →
cache13–50.0416%27 Oct →
anubis13–11-0.0111%26 Oct →
cache14–16-0.028%26 Oct →
dust213–40.0612%25 Oct →
inferno13–40.0517%25 Oct →
dust24–130.0218%25 Oct →
cache13–60.097%25 Oct →
dust28–13-0.0610%24 Oct →
dust213–30.0912%24 Oct →
inferno11–13-0.038%24 Oct →
mirage13–60.0311%24 Oct →
nuke5–13-0.064%24 Oct →
inferno2–13-0.1012%24 Oct →
mirage9–13-0.0412%23 Oct →
cache13–5-0.0214%23 Oct →
ancient13–110.056%23 Oct →
cache13–50.015%23 Oct →
dust213–90.0118%23 Oct →
mirage8–130.0218%21 Oct →
mirage8–13-0.0510%20 Oct →
inferno13–80.1013%20 Oct →
mirage13–110.0314%20 Oct →
ancient6–13-0.059%20 Oct →
ancient13–11-0.026%19 Oct →
cache13–80.0415%19 Oct →
mirage7–13-0.035%18 Oct →
inferno13–8-0.019%18 Oct →
inferno13–4-0.006%18 Oct →
anubis13–4-0.066%18 Oct →
ancient15–150.0510%18 Oct →
inferno11–130.016%17 Oct →
nuke13–110.046%17 Oct →
inferno8–13-0.029%17 Oct →
cache13–40.037%17 Oct →
dust213–20.062%17 Oct →
dust213–11-0.0116%17 Oct →
mirage0–8-0.0718%17 Oct →
nuke13–2-0.048%17 Oct →
cache13–60.008%17 Oct →
mirage10–13-0.005%16 Oct →
cache14–160.0117%16 Oct →
anubis13–11-0.026%16 Oct →
mirage13–8-0.0114%16 Oct →
mirage6–13-0.0824%16 Oct →
dust27–130.0118%16 Oct →
mirage9–130.011%16 Oct →
inferno10–13-0.017%15 Oct →
anubis7–13-0.029%15 Oct →
anubis15–15-0.0011%15 Oct →
mirage11–13-0.025%14 Oct →
anubis4–13-0.017%14 Oct →
dust213–9-0.0411%14 Oct →
nuke13–50.068%14 Oct →
mirage3–13-0.0424%13 Oct →
dust210–13-0.0119%13 Oct →
mirage12–120.037%13 Oct →
anubis13–4-0.0713%13 Oct →
ancient9–130.0811%13 Oct →
nuke5–13-0.0810%12 Oct →
dust213–30.0415%11 Oct →
anubis11–13-0.023%11 Oct →
inferno13–110.014%11 Oct →
mirage10–130.0114%10 Oct →
mirage7–130.099%10 Oct →
anubis7–13-0.058%10 Oct →
dust213–4-0.0114%9 Oct →
mirage13–80.0311%9 Oct →
mirage13–0-0.0013%9 Oct →
dust213–110.0913%9 Oct →
mirage12–12-0.0513%8 Oct →
train12–12-0.028%8 Oct →
cache13–90.0113%8 Oct →
anubis10–13-0.037%8 Oct →
mirage4–13-0.064%8 Oct →
train7–130.109%8 Oct →
mirage14–16-0.025%7 Oct →
nuke13–80.0120%7 Oct →
dust23–13-0.1211%7 Oct →
inferno13–0-0.088%7 Oct →
mirage13–9-0.0416%6 Oct →
ancient13–2-0.050%6 Oct →
ancient13–9-0.0214%6 Oct →
dust213–60.0212%6 Oct →
mirage3–13-0.057%4 Oct →
nuke13–60.109%4 Oct →
inferno2–13-0.0214%4 Oct →
cache13–11-0.0210%4 Oct →
mirage10–10.0120%4 Oct →
dust213–80.0312%3 Oct →
mirage12–120.0811%3 Oct →
ancient13–10.179%3 Oct →
dust26–130.0216%3 Oct →
mirage13–9-0.0811%3 Oct →
inferno9–60.1111%3 Oct →
dust29–130.0216%3 Oct →
inferno2–13-0.073%2 Oct →
anubis13–90.1211%2 Oct →
dust29–20.0815%2 Oct →
mirage13–100.068%2 Oct →

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 →

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