Rozza

Rozza — CS2 Stats

76561198025282359[U:1:65016631]Steam profile ↗✓ No bans

266Tracked matches59%Win rate2026Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating4,043Grey band · top ~82.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (4 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: 4,043 +1,364 26 Aug – 7 Oct · 24 days played
2,6794,392peak 4,39226 Aug7 Oct
4,428Peak Premier in tracked matches
34Days played since 2026-08-13

Premier CS Rating

  • 349 below peak (4,392)
  • +716 over 30 days · improving
  • Next: Light Blue band at 5,000 — 957 to go

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

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CSDB.GGRozzaPREMIER4,043 · Grey bandcsdb.gg/stats

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Performance scores

Aim34
Positioning54
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLLWLWWLTL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +1.1pp headshot accuracy · −101ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 558ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

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 (+2.2 against its own average).

Aim3.4
Utility2.0
Positioning5.4
Opening Duels2.3

Limited utility dependence

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

donk

Plays most like donk 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning5.4
Utility2.0
Mechanics4.1
Opening Duels4.2
Win Impact7.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time588ms+19ms
first ⅓ avg 569ms → last ⅓ avg 588ms
Headshot accuracy15.3%+1.8%
first ⅓ avg 13.5% → last ⅓ avg 15.3%

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

0.09Best match rating · 13–2 · nuke, 9 Sept →
33%Best headshot accuracy · 1–8 · nuke, 4 Sept →
391msFastest reaction time · 2–13 · anubis, 19 Aug →
13–0Biggest win · mirage, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 56% over 18mirageWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageD217–1433%-0.04
nukeA1810–856%-0.02
infernoB147–750%-0.03
ancientC135–838%-0.05
cacheB126–650%-0.04
dust2A116–555%-0.02
anubisD62–433%-0.03
train—22–0100%-0.04
vertigo—21–150%-0.08
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy
29.2%Accuracy (enemy spotted)
27.0%Spray accuracy
68.6%Counter-strafing
11.8°Preaim
587msReaction time
52.7%T opening success
40.7%CT opening success
0.29Enemies flashed / flash
2.9%Flash assists
5.66HE damage / grenade
3.49Flashes / 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 14.9311% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2876 — below the 0.5 mark we flag

    Grenade Lineups →
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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0010%7 Oct →
anubis9–13-0.0015%6 Oct →
dust211–13-0.0719%5 Oct →
train13–11-0.0323%5 Oct →
nuke10–13-0.117%2 Oct →
nuke13–30.0014%2 Oct →
nuke13–110.0115%2 Oct →
nuke11–13-0.0623%1 Oct →
nuke12–12-0.0511%1 Oct →
ancient11–13-0.0414%30 Sept →
nuke13–8-0.0615%30 Sept →
nuke5–13-0.0216%30 Sept →
anubis13–30.0418%29 Sept →
mirage13–7-0.0510%28 Sept →
nuke13–3-0.0213%28 Sept →
anubis13–8-0.0518%28 Sept →
cache1–13-0.0721%24 Sept →
cache10–13-0.059%24 Sept →
inferno16–140.0312%24 Sept →
mirage7–13-0.058%23 Sept →
dust213–9-0.0115%23 Sept →
dust213–5-0.035%23 Sept →
dust213–90.0025%23 Sept →
cache8–13-0.0416%19 Sept →
vertigo13–7-0.0515%19 Sept →
inferno13–11-0.0417%19 Sept →
overpass13–6-0.0121%19 Sept →
nuke13–5-0.0417%19 Sept →
mirage5–13-0.0615%19 Sept →
mirage11–13-0.0113%18 Sept →
dust213–80.0113%18 Sept →
dust28–13-0.0229%18 Sept →
anubis5–13-0.0815%18 Sept →
cache13–11-0.0317%18 Sept →
cache13–4-0.0713%18 Sept →
cache13–7-0.075%17 Sept →
nuke2–13-0.0424%17 Sept →
nuke13–40.0718%17 Sept →
mirage6–13-0.087%16 Sept →
nuke4–13-0.0719%14 Sept →
cache11–13-0.084%14 Sept →
nuke13–6-0.029%14 Sept →
mirage16–120.018%14 Sept →
mirage10–13-0.049%11 Sept →
nuke13–90.0313%10 Sept →
inferno13–8-0.0414%10 Sept →
ancient13–1-0.0329%10 Sept →
cache6–130.0425%10 Sept →
vertigo3–13-0.1217%10 Sept →
mirage5–13-0.050%10 Sept →
inferno10–13-0.0612%9 Sept →
mirage13–8-0.0918%9 Sept →
nuke13–20.0916%9 Sept →
inferno14–16-0.0313%8 Sept →
dust211–13-0.0111%7 Sept →
ancient13–6-0.0221%7 Sept →
ancient13–50.0217%4 Sept →
cache16–120.0213%4 Sept →
nuke1–80.0133%4 Sept →
mirage4–13-0.049%4 Sept →
ancient11–13-0.0922%3 Sept →
inferno13–9-0.0123%3 Sept →
mirage3–13-0.0817%3 Sept →
ancient2–13-0.0511%3 Sept →
dust213–100.0220%2 Sept →
mirage0–10-0.080%2 Sept →
ancient3–13-0.0413%2 Sept →
anubis1–13-0.0428%2 Sept →
mirage8–13-0.0111%2 Sept →
cache13–8-0.0415%1 Sept →
cache13–100.0317%1 Sept →
inferno3–13-0.0616%1 Sept →
mirage14–16-0.0216%1 Sept →
ancient13–6-0.0714%27 Aug →
inferno7–13-0.0314%27 Aug →
inferno13–20.077%26 Aug →
mirage16–14-0.0111%26 Aug →
nuke13–5-0.0525%26 Aug →
dust23–13-0.1018%26 Aug →
inferno13–9-0.036%24 Aug →
mirage13–8-0.0716%21 Aug →
ancient6–13-0.053%20 Aug →
inferno3–13-0.0816%20 Aug →
ancient13–8-0.0212%20 Aug →
anubis2–13-0.0518%19 Aug →
cache6–13-0.096%19 Aug →
mirage10–13-0.0314%19 Aug →
inferno3–13-0.0715%19 Aug →
mirage7–13-0.100%19 Aug →
dust215–15-0.039%18 Aug →
mirage13–7-0.047%18 Aug →
mirage14–16-0.0216%17 Aug →
ancient7–13-0.1021%17 Aug →
inferno2–13-0.049%17 Aug →
mirage13–00.0820%17 Aug →
ancient5–13-0.067%17 Aug →
nuke7–13-0.096%15 Aug →
inferno13–11-0.0414%13 Aug →
ancient5–13-0.0514%13 Aug →
train13–7-0.0524%13 Aug →

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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