rza'

rza' — CS2 Stats

DE76561199026642401[U:1:1066376673]Steam profile ↗✓ No bans

2,147Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating16,762Purple band · top ~21.4% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−712Premier CS Rating · 17,474 → 16,762

Rating over time

Premier CS Rating: 16,762 +1,746 20 Sept – 8 Oct · 19 days played
13,17117,630peak 17,63020 Sept8 Oct
18,013Peak Premier in tracked matches
19Days played since 2026-09-20

Premier CS Rating

  • 868 below peak (17,630)
  • Next: Pink band at 20,000 — 3,238 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGrza'FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,762 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning67
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLWLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +0.6pp headshot accuracy · +58ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 683ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 667ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 638ms

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 (+1.5 against its own average).

Aim4.9
Utility5.7
Positioning6.7
Opening Duels3.9
Clutch4.4

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

jL

Plays most like jL 69% 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.9
Positioning6.7
Utility5.7
Mechanics3.5
Opening Duels7.0
Win Impact5.0

Composite 5.4/10 (Developing), 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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time597ms+4ms
first ⅓ avg 593ms → last ⅓ avg 597ms
Headshot accuracy13.6%−4.0%
first ⅓ avg 17.7% → last ⅓ avg 13.6%

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

0.14Best match rating · 13–3 · inferno, 4 Oct →
32%Best headshot accuracy · 11–13 · dust2, 4 Oct →
406msFastest reaction time · 13–9 · mirage, 28 Sept →
13–2Biggest win · inferno, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 59% over 17ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB3517–1849%-0.01
ancientC218–1338%-0.02
dust2A1710–759%0.01
anubisC94–544%-0.01
mirageC83–538%-0.00
cacheB63–350%0.01
nuke—31–233%0.03
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

69Matches
58%Win rate
1.03Avg K/D
76.2ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21861%1.2015.5
Inferno1638%0.8511.8
Anubis1275%1.0415.8
Ancient1164%1.0114.6
Mirage967%1.1416.1
Nuke333%0.689.0

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.

13.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.8%Spray accuracy
65.5%Counter-strafing
9.5°Preaim
606msReaction time
70.0%T opening success
45.9%CT opening success
0.54Enemies flashed / flash
5.6%Flash assists
10.96HE damage / grenade
6.11Flashes / 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 13.4889% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0511%8 Oct →
ancient10–130.0426%8 Oct →
anubis8–13-0.1213%7 Oct →
inferno13–6-0.017%7 Oct →
ancient9–13-0.0420%7 Oct →
inferno10–13-0.0318%6 Oct →
mirage8–130.0414%6 Oct →
cache9–130.0614%6 Oct →
dust213–70.0513%6 Oct →
dust28–13-0.0610%6 Oct →
inferno13–7-0.042%6 Oct →
inferno13–100.0311%6 Oct →
nuke13–160.0515%6 Oct →
dust213–10-0.0020%5 Oct →
inferno13–50.0122%5 Oct →
dust214–16-0.028%5 Oct →
dust213–100.0811%5 Oct →
ancient16–130.0510%5 Oct →
dust211–130.0832%4 Oct →
ancient9–130.038%4 Oct →
nuke2–13-0.0222%4 Oct →
ancient2–70.0021%4 Oct →
inferno13–30.1414%4 Oct →
anubis13–40.0910%4 Oct →
nuke13–30.0711%3 Oct →
inferno13–90.0214%3 Oct →
inferno13–110.005%3 Oct →
inferno14–16-0.018%3 Oct →
cache13–9-0.049%3 Oct →
ancient13–8-0.0414%3 Oct →
ancient11–13-0.024%2 Oct →
dust213–110.0319%2 Oct →
inferno10–130.0115%2 Oct →
cache7–13-0.028%1 Oct →
inferno13–2-0.014%1 Oct →
ancient5–13-0.0418%1 Oct →
anubis5–13-0.049%1 Oct →
ancient4–13-0.0216%1 Oct →
inferno16–140.059%30 Sept →
ancient16–14-0.0420%30 Sept →
inferno7–13-0.0530%30 Sept →
dust211–13-0.047%30 Sept →
ancient13–11-0.0011%30 Sept →
cache16–12-0.0618%30 Sept →
inferno13–110.0322%30 Sept →
ancient10–13-0.0711%30 Sept →
inferno13–80.0313%30 Sept →
dust213–11-0.069%30 Sept →
mirage11–13-0.057%29 Sept →
inferno13–90.0516%29 Sept →
inferno5–13-0.0610%29 Sept →
anubis13–6-0.057%29 Sept →
cache13–60.0614%29 Sept →
mirage13–70.0523%29 Sept →
inferno9–130.0314%29 Sept →
dust213–100.0210%29 Sept →
dust213–70.0822%29 Sept →
cache6–130.0418%29 Sept →
anubis13–70.0414%29 Sept →
mirage13–9-0.0110%28 Sept →
anubis10–130.0415%27 Sept →
anubis13–80.0616%27 Sept →
ancient16–12-0.058%27 Sept →
ancient10–13-0.0512%26 Sept →
dust216–13-0.0017%26 Sept →
dust25–13-0.0021%26 Sept →
inferno9–13-0.067%25 Sept →
dust25–130.1029%25 Sept →
inferno16–140.0218%25 Sept →
inferno13–50.0212%25 Sept →
mirage7–13-0.049%25 Sept →
mirage15–15-0.0314%24 Sept →
anubis9–13-0.059%24 Sept →
mirage9–130.005%24 Sept →
ancient8–130.0321%24 Sept →
inferno11–13-0.078%24 Sept →
ancient16–130.0213%23 Sept →
inferno13–11-0.0620%23 Sept →
inferno13–7-0.0317%22 Sept →
inferno10–13-0.0123%22 Sept →
inferno9–13-0.0121%22 Sept →
ancient13–11-0.0124%22 Sept →
ancient15–15-0.0721%22 Sept →
inferno14–16-0.0027%22 Sept →
vertigo12–12-0.0323%22 Sept →
mirage13–5-0.0117%22 Sept →
dust213–10-0.0121%22 Sept →
inferno8–13-0.0617%22 Sept →
inferno11–13-0.0413%22 Sept →
inferno8–13-0.0318%21 Sept →
ancient4–13-0.1118%21 Sept →
ancient13–10-0.0114%21 Sept →
dust213–8-0.0519%21 Sept →
inferno13–60.0421%21 Sept →
inferno10–13-0.0329%21 Sept →
dust27–13-0.0816%21 Sept →
inferno9–13-0.0511%20 Sept →
anubis6–13-0.0420%20 Sept →
inferno9–13-0.0520%20 Sept →
ancient10–13-0.0121%20 Sept →

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 →

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