VolkerRacho

VolkerRacho — CS2 Stats

DE76561198251780166[U:1:291514438]Steam profile ↗✓ No bans

581Tracked matches45%Win rate2021Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating13,516Blue band · top ~36.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (3 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: 13,516 +4,294 16 May – 29 Oct · 26 days played
9,18616,103peak 16,10316 May29 Oct
16,103Peak Premier in tracked matches
33Days played since 2026-05-16

Premier CS Rating

  • 2,587 below peak (16,103)
  • -181 over 30 days · steady
  • Next: Purple band at 15,000 — 1,484 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.GGVolkerRachoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,516 · Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLLLWWTWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · +44ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 717ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 671ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • 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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim3.1
Utility6.0
Positioning4.2
Opening Duels0.0
Clutch1.0

Strong T-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 57% 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

CT openings. Opening success drops from 44% on T to 16% on CT — first contacts on the defending side are being lost.

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.1
Positioning4.2
Utility6.0
Mechanics3.2
Opening Duels1.8
Win Impact3.3

Composite 3.5/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time652ms−61ms
first ⅓ avg 713ms → last ⅓ avg 652ms
Headshot accuracy16.0%+2.1%
first ⅓ avg 13.9% → last ⅓ avg 16.0%

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

0.18Best match rating · 13–1 · overpass, 1 Jun →
32%Best headshot accuracy · 6–13 · inferno, 24 Aug →
469msFastest reaction time · 4–13 · inferno, 26 May →
13–0Biggest win · dust2, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.02
dust2A2313–1057%-0.01
ancientD173–1418%-0.03
nukeD103–730%-0.04
anubisS96–367%-0.03
cacheA74–357%-0.01
mirage—42–250%-0.02
overpass—43–175%0.04
italy—20–20%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
56%Win rate
0.91Avg K/D
68.3ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke560%0.8312.6
Inferno560%0.8212.4
Dust2333%0.9814.3
Ancient20%0.7210.5
Anubis2100%0.8615.5
Mirage1100%1.9431.0

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.

15.8%Headshot accuracy
29.7%Accuracy (enemy spotted)
33.4%Spray accuracy
64.5%Counter-strafing
11.8°Preaim
663msReaction time
44.5%T opening success
16.4%CT opening success
0.60Enemies flashed / flash
2.5%Flash assists
10.46HE damage / grenade
6.70Flashes / 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 16.3644% — below the 40% mark we flag

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.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0418%29 Oct →
nuke7–13-0.0714%29 Oct →
dust210–13-0.0418%29 Oct →
ancient7–13-0.0917%29 Oct →
inferno13–80.0419%13 Oct →
dust213–9-0.0013%13 Oct →
inferno15–15-0.0017%13 Oct →
inferno13–100.0416%12 Oct →
mirage8–13-0.0214%29 Sept →
anubis13–80.0013%29 Sept →
mirage13–110.0016%29 Sept →
mirage7–13-0.0530%29 Sept →
dust29–130.0717%28 Sept →
dust213–30.1420%28 Sept →
ancient6–130.016%28 Sept →
nuke13–7-0.0610%28 Sept →
nuke8–13-0.0522%26 Sept →
anubis4–13-0.0714%25 Sept →
nuke11–13-0.058%25 Sept →
inferno13–100.0611%25 Sept →
inferno9–130.0116%25 Sept →
dust213–00.0923%25 Sept →
ancient9–130.0217%25 Sept →
ancient8–13-0.029%21 Sept →
inferno6–13-0.0510%21 Sept →
inferno5–13-0.1026%21 Sept →
nuke6–130.0017%21 Sept →
cache13–11-0.0420%19 Sept →
inferno13–11-0.0420%19 Sept →
ancient13–11-0.057%19 Sept →
inferno2–13-0.0611%17 Sept →
inferno13–110.0023%17 Sept →
cache13–90.0215%17 Sept →
inferno13–11-0.018%17 Sept →
dust29–13-0.0130%16 Sept →
cache13–30.0522%16 Sept →
ancient15–15-0.0518%16 Sept →
nuke13–80.009%16 Sept →
ancient7–13-0.1124%12 Sept →
dust213–9-0.0814%12 Sept →
dust213–10-0.0317%12 Sept →
inferno8–13-0.048%1 Sept →
ancient7–13-0.0519%1 Sept →
dust213–10-0.0521%1 Sept →
dust29–13-0.0519%28 Aug →
inferno7–13-0.0113%28 Aug →
dust213–10-0.0517%28 Aug →
anubis16–130.0322%27 Aug →
dust213–100.1027%27 Aug →
ancient6–13-0.0119%27 Aug →
cache2–13-0.1128%27 Aug →
inferno0–9-0.160%27 Aug →
dust213–16-0.068%25 Aug →
dust213–9-0.0221%25 Aug →
nuke13–11-0.0716%24 Aug →
inferno6–13-0.0232%24 Aug →
dust29–13-0.0514%23 Aug →
nuke12–16-0.0413%23 Aug →
ancient15–15-0.0310%23 Aug →
dust26–13-0.0118%22 Aug →
dust213–5-0.0417%21 Aug →
inferno13–00.1116%21 Aug →
dust213–11-0.0210%21 Aug →
mirage16–13-0.0319%21 Aug →
anubis9–13-0.0311%19 Aug →
anubis13–30.015%19 Aug →
inferno13–9-0.029%19 Aug →
italy12–120.0723%6 Jul →
cache6–13-0.0218%6 Jul →
cache6–13-0.0313%6 Jul →
ancient4–13-0.0419%6 Jul →
overpass13–60.0411%6 Jul →
dust26–13-0.037%28 Jun →
inferno5–13-0.030%28 Jun →
inferno10–10.028%28 Jun →
dust213–6-0.0110%16 Jun →
dust213–8-0.0117%10 Jun →
italy4–130.0516%10 Jun →
ancient11–130.0017%9 Jun →
overpass13–5-0.0216%9 Jun →
dust27–13-0.0712%9 Jun →
overpass9–13-0.0313%3 Jun →
anubis10–13-0.0611%3 Jun →
nuke4–13-0.0618%3 Jun →
overpass13–10.1817%1 Jun →
inferno4–13-0.0320%1 Jun →
nuke4–13-0.058%26 May →
inferno4–13-0.0410%26 May →
ancient11–13-0.107%26 May →
ancient13–40.0014%26 May →
anubis16–12-0.079%19 May →
ancient15–150.0117%19 May →
anubis13–8-0.0524%18 May →
inferno13–5-0.0716%18 May →
inferno13–4-0.0414%18 May →
anubis13–8-0.0118%17 May →
ancient13–9-0.0312%17 May →
inferno2–13-0.0713%17 May →
ancient12–16-0.0019%16 May →
dust25–13-0.0412%16 May →

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 →

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