varo

varo — CS2 Stats

ES76561197994892172[U:1:34626444]Steam profile ↗✓ No bans

678Tracked matches43%Win rate2023Tracked since
968Hours in CS0Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating15,879Purple band · top ~24.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (16 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: 15,879 -480 15 Jun – 27 Sept · 48 days played
14,66417,449peak 17,44915 Jun27 Sept
17,540Peak Premier in tracked matches
53Days played since 2026-06-15

Premier CS Rating

  • 1,570 below peak (17,449)
  • -437 over 30 days · declining
  • +133 over 90 days
  • Next: Pink band at 20,000 — 4,121 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 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 rate45.2%44.3%46.9%1.8% short
Shot accuracy7.3%11.9%13.0%5.7% short
Kill/death ratio1.041.031.080.04 short
Match win rate40.6%45.2%46.7%6.1% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGvaroPREMIER15,879 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWLWWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −27ms reaction

Win rate 0pp 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 17%
  • Avg reaction 653ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 636ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 649ms

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 (+2.8 against its own average).

Aim8.1
Utility5.8
Positioning6.4
Opening Duels2.3
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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

CT openings. Opening success drops from 57% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 655ms 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

Aim8.1
Positioning6.4
Utility5.8
Mechanics8.1
Opening Duels4.5
Win Impact2.8

Composite 6.5/10 (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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time655ms−82ms
first ⅓ avg 737ms → last ⅓ avg 655ms
Headshot accuracy18.9%−0.3%
first ⅓ avg 19.2% → last ⅓ avg 18.9%

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 · 7–11 · anubis, 8 Sept →
38%Best headshot accuracy · 13–7 · anubis, 24 Jul →
516msFastest reaction time · 3–13 · inferno, 22 Jun →
13–0Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 70% over 10dust2Weakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
dust2D289–1932%0.01
ancientS2013–765%0.01
anubisA169–756%0.01
nukeB168–850%0.01
infernoS107–370%0.01
cacheC73–443%0.03
mirage—30–30%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,086Lifetime kills
1.04K/D · Top 50% of Purple band
1,075Matches
40.6%Match win rate
45.2%Headshot % · Top 50% of Purple band
7.3%Shot accuracy
1,923MVPs
419Hours (in match)
1,139Bombs planted
292Bombs defused

Most-used weapons

Lifetime map wins

2,812dust2
2,444nuke
1,111inferno
152train
17vertigo
4cbble
2ar_shoots
1assault

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

Faceit stats

Combat

4Matches
50%Win rate
0.90Avg K/D
69.6ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%1.1424.0
Inferno1100%1.3117.0
Cache10%0.609.0
Anubis10%0.569.0

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.

19.5%Headshot accuracy
40.9%Accuracy (enemy spotted)
39.3%Spray accuracy
86.3%Counter-strafing
9.0°Preaim
655msReaction time
56.6%T opening success
39.3%CT opening success
0.54Enemies flashed / flash
6.1%Flash assists
12.42HE damage / grenade
8.29Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2508% — below the 40% mark we flag

Spend your practice time on Dust 2

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0414%27 Sept →
mirage11–130.0314%27 Sept →
anubis12–5-0.0019%21 Sept →
anubis10–13-0.0216%21 Sept →
inferno13–90.1021%21 Sept →
ancient13–80.0026%20 Sept →
dust22–13-0.0624%20 Sept →
inferno13–8-0.0316%20 Sept →
nuke10–130.0319%18 Sept →
anubis14–160.0119%18 Sept →
anubis11–13-0.0014%17 Sept →
dust212–160.0224%17 Sept →
nuke11–13-0.0016%16 Sept →
ancient13–11-0.0118%16 Sept →
ancient9–130.0219%15 Sept →
dust210–130.0124%14 Sept →
nuke13–10-0.0017%14 Sept →
anubis13–90.0419%14 Sept →
ancient13–11-0.0213%13 Sept →
ancient5–130.0219%13 Sept →
nuke13–80.0321%10 Sept →
ancient7–13-0.0110%10 Sept →
anubis13–80.0732%9 Sept →
mirage4–13-0.0115%9 Sept →
anubis7–110.145%8 Sept →
cache16–120.0524%8 Sept →
dust29–130.1228%7 Sept →
dust211–13-0.0117%6 Sept →
nuke13–100.0524%3 Sept →
ancient13–50.0326%3 Sept →
dust213–100.0422%2 Sept →
nuke13–90.0010%27 Aug →
inferno13–8-0.0117%26 Aug →
nuke7–130.0317%26 Aug →
anubis13–8-0.0116%25 Aug →
nuke6–130.0122%25 Aug →
anubis13–80.0616%24 Aug →
ancient13–40.0517%23 Aug →
anubis9–13-0.0427%20 Aug →
ancient13–90.0620%20 Aug →
ancient13–16-0.0115%19 Aug →
cache15–150.0019%19 Aug →
nuke13–8-0.0113%18 Aug →
dust213–30.1017%17 Aug →
dust213–30.1016%17 Aug →
inferno13–70.0717%14 Aug →
dust210–130.0124%13 Aug →
nuke7–13-0.047%13 Aug →
dust23–13-0.0715%12 Aug →
cache7–13-0.0112%10 Aug →
anubis13–60.0126%9 Aug →
inferno13–6-0.0218%9 Aug →
nuke13–11-0.0317%9 Aug →
dust20–13-0.096%9 Aug →
ancient8–13-0.0017%6 Aug →
cache16–12-0.0217%5 Aug →
dust27–13-0.0429%5 Aug →
ancient13–7-0.0219%5 Aug →
ancient12–160.0419%4 Aug →
inferno11–130.0119%4 Aug →
ancient13–50.0320%31 Jul →
dust213–60.0329%30 Jul →
cache15–150.0420%30 Jul →
inferno5–13-0.039%29 Jul →
dust213–60.0719%29 Jul →
nuke10–130.0622%28 Jul →
anubis13–100.0111%28 Jul →
anubis7–13-0.0813%27 Jul →
ancient7–13-0.0322%27 Jul →
dust28–130.0126%26 Jul →
ancient13–90.0423%26 Jul →
dust213–110.0334%24 Jul →
anubis13–7-0.0138%24 Jul →
inferno13–00.0312%24 Jul →
dust27–130.0311%22 Jul →
ancient13–90.0423%22 Jul →
dust26–13-0.0521%22 Jul →
cache13–30.0919%21 Jul →
nuke16–130.0114%21 Jul →
ancient13–9-0.0617%21 Jul →
ancient13–110.0416%20 Jul →
nuke5–130.0320%20 Jul →
dust211–130.0012%20 Jul →
anubis15–15-0.0324%17 Jul →
inferno13–60.0321%17 Jul →
dust210–130.0216%15 Jul →
dust213–50.1022%15 Jul →
dust213–10.036%13 Jul →
cache8–130.0522%13 Jul →
dust210–130.0119%13 Jul →
dust210–13-0.0320%12 Jul →
dust210–13-0.0521%26 Jun →
anubis13–9-0.0111%26 Jun →
inferno3–13-0.0518%22 Jun →
nuke13–11-0.0122%19 Jun →
nuke9–130.0117%17 Jun →
dust26–13-0.0729%16 Jun →
dust29–13-0.098%16 Jun →
ancient13–40.0116%16 Jun →
dust213–60.0321%15 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.