Ruupezz

Ruupezz — CS2 Stats

FI76561198829744104[U:1:869478376]Steam profile ↗✓ No bans

1,607Tracked matches43%Win rate2021Tracked since
4,512Hours in CS57Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating18,302Purple band · top ~15.3% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 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: 18,302 +849 24 Sept – 16 Oct · 19 days played
16,75019,885peak 19,88524 Sept16 Oct
20,345Peak Premier in tracked matches
21Days played since 2026-09-24

Premier CS Rating

  • 1,583 below peak (19,885)
  • Next: Pink band at 20,000 — 1,698 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches153——
Win rate47%——
K/D1.20——
Headshot %41%——

Measured 14 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.3%44.3%46.9%10.6% short
Shot accuracy9.1%11.9%13.0%3.8% short
Kill/death ratio1.201.031.08above
Match win rate50.3%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGRuupezzPREMIER18,302 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning65
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLWLLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +3.5pp headshot accuracy · −21ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

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 (+1.2 against its own average).

Aim5.6
Utility6.5
Positioning6.5
Opening Duels3.0

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

ZywOo

Plays most like ZywOo 72% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.6
Positioning6.5
Utility6.5
Mechanics4.0
Opening Duels4.2
Win Impact2.8

Composite 5.3/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time560ms−16ms
first ⅓ avg 576ms → last ⅓ avg 560ms
Headshot accuracy16.7%+0.5%
first ⅓ avg 16.3% → last ⅓ avg 16.7%

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

0.20Best match rating · 13–2 · mirage, 1 Oct →
50%Best headshot accuracy · 8–0 · nuke, 28 Sept →
391msFastest reaction time · 0–7 · dust2, 11 Oct →
13–0Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 77% over 30mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS3023–777%0.03
dust2C176–1135%0.02
mirageD155–1033%0.02
cacheC125–742%0.04
infernoC104–640%0.01
ancientC73–443%0.01
anubisA53–260%0.01
train—21–150%0.05
overpass—11–0100%0.09
office—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,597Lifetime kills
1.20K/D · Top 25% of Purple band
5,942Matches
50.3%Match win rate · Top 25% of Purple band
36.3%Headshot %
9.1%Shot accuracy
18,211MVPs
2,610Hours (in match)
9,917Bombs planted
1,827Bombs defused

Most-used weapons

AK-4724,573
AWP20,489
MP78,193
P2503,734
P903,439

Lifetime map wins

20,110nuke
5,943inferno
4,389dust2
3,481office
2,070train
1,406vertigo
746cbble
655lake

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

Skill profile

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

17.1%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.5%Spray accuracy
67.8%Counter-strafing
11.7°Preaim
571msReaction time
33.3%T opening success
60.5%CT opening success
0.67Enemies flashed / flash
2.8%Flash assists
7.30HE damage / grenade
16.33Flashes / 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 33.3333% — 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 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0332%16 Oct →
inferno13–100.0121%16 Oct →
nuke9–13-0.0311%16 Oct →
nuke11–130.0317%16 Oct →
mirage8–130.0415%16 Oct →
inferno13–70.0518%16 Oct →
nuke13–80.0816%15 Oct →
anubis13–90.0622%15 Oct →
mirage13–5-0.0026%15 Oct →
anubis13–80.0116%15 Oct →
cache8–13-0.0211%15 Oct →
nuke8–130.0628%15 Oct →
dust213–90.0913%14 Oct →
nuke7–13-0.0112%14 Oct →
anubis13–110.0521%14 Oct →
mirage10–13-0.0110%14 Oct →
dust213–11-0.0215%14 Oct →
nuke13–60.0626%14 Oct →
train8–13-0.0117%14 Oct →
cache6–130.017%13 Oct →
cache13–90.0523%12 Oct →
nuke13–30.0416%12 Oct →
anubis11–13-0.0318%12 Oct →
dust20–7-0.000%11 Oct →
overpass13–20.0913%11 Oct →
nuke5–13-0.0311%11 Oct →
mirage6–13-0.0317%11 Oct →
ancient8–130.0120%10 Oct →
ancient10–130.0416%10 Oct →
mirage9–13-0.0613%10 Oct →
nuke13–70.0317%10 Oct →
mirage4–13-0.0117%10 Oct →
ancient13–2-0.0119%10 Oct →
ancient13–110.067%10 Oct →
nuke13–6-0.0212%10 Oct →
ancient8–130.0114%8 Oct →
dust215–15-0.0113%8 Oct →
dust213–60.0824%8 Oct →
dust27–130.0210%8 Oct →
cache13–50.1514%8 Oct →
nuke13–00.065%7 Oct →
train13–60.1113%7 Oct →
nuke13–70.0516%7 Oct →
inferno13–110.0117%7 Oct →
dust213–60.0426%7 Oct →
nuke13–50.0218%7 Oct →
nuke13–50.0811%7 Oct →
cache15–150.0617%7 Oct →
dust215–150.0217%6 Oct →
anubis11–13-0.0125%6 Oct →
nuke13–20.1513%6 Oct →
dust29–13-0.0116%6 Oct →
mirage11–50.0535%6 Oct →
cache13–80.0419%6 Oct →
dust213–100.038%6 Oct →
nuke13–40.0517%6 Oct →
inferno15–150.0317%6 Oct →
mirage5–13-0.0111%5 Oct →
dust29–130.0514%5 Oct →
dust213–30.0612%5 Oct →
mirage8–130.0413%4 Oct →
dust24–13-0.0113%4 Oct →
nuke8–2-0.020%4 Oct →
nuke13–110.0611%3 Oct →
office12–120.019%3 Oct →
nuke13–110.048%3 Oct →
cache9–130.0114%3 Oct →
ancient13–110.0110%2 Oct →
nuke13–100.014%2 Oct →
inferno11–130.0421%1 Oct →
dust210–13-0.0130%1 Oct →
mirage13–20.2020%1 Oct →
mirage8–13-0.0218%1 Oct →
nuke13–20.0618%1 Oct →
cache7–130.0311%1 Oct →
nuke11–13-0.0241%1 Oct →
cache13–110.0112%30 Sept →
cache12–120.0415%30 Sept →
inferno9–130.0818%29 Sept →
cache6–13-0.049%29 Sept →
inferno13–11-0.037%29 Sept →
mirage13–110.0319%29 Sept →
nuke13–50.0116%29 Sept →
nuke13–90.0416%29 Sept →
mirage13–100.0811%28 Sept →
nuke13–7-0.028%28 Sept →
nuke8–0-0.0250%28 Sept →
dust23–13-0.0617%28 Sept →
nuke13–40.0211%28 Sept →
mirage2–13-0.0822%28 Sept →
inferno13–16-0.077%26 Sept →
nuke13–40.159%26 Sept →
nuke13–50.0114%25 Sept →
mirage3–130.0318%25 Sept →
inferno10–13-0.015%25 Sept →
nuke11–130.0716%24 Sept →
ancient7–13-0.029%24 Sept →
cache13–60.1113%24 Sept →
inferno2–11-0.0515%24 Sept →
dust27–130.0528%24 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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