volk

volk — CS2 Stats

US76561197999374662[U:1:39108934]Steam profile ↗

666Tracked matches40%Win rate2022Tracked since
2,936Hours in CS5Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating15,948Purple band · top ~24.6% of ranked players (population est.)
CSDB Leaderboard#3369 of 5418 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate38.0%48.1%10.1% short
Shot accuracy15.9%12.9%above
Kill/death ratio1.581.08above
Match win rate50.3%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGvolkPREMIER15,948 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning43
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY41581Last 10041%Win rateLLLWWWLLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression6.5
Utility6.0
Positioning4.3
Opening Duels2.5
Clutch2.6

Excellent counter-strafingStrong 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.

Your pro match

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim6.9
Positioning4.3
Utility6.0
Mechanics8.5
Opening Duels2.5
Win Impact1.7

Composite 5.5/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time676ms−21ms
first ⅓ avg 696ms → last ⅓ avg 676ms
Headshot accuracy13.5%−0.4%
first ⅓ avg 13.9% → last ⅓ avg 13.5%

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.

Highlights

0.14Best rating — overpass 13–9
130Biggest win — dust2
7Longest win streak
L3Current streak
715In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 61% over 18trainWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC23101343%-0.01
nukeD1851328%-0.01
overpassA1811761%-0.00
dust2A148657%0.02
anubisD92722%-0.00
infernoC83538%0.02
trainD8080%-0.01
mirage220100%0.03

Across the last 100 tracked matches.

Lifetime stats

71,570Lifetime kills
1.58K/D · Top 5% of tracked players
4,159Matches
50.3%Match win rate · Top 25% of tracked players
38.0%Headshot %
15.9%Shot accuracy · Top 25% of tracked players
6,207MVPs
1,145Hours (in match)
2,776Bombs planted
718Bombs defused

Most-used weapons

AK-4720,364
AWP8,611
MP92,476
P2502,068
MAC-101,650
SSG 081,309

Lifetime map wins

3,805inferno
3,744dust2
3,042nuke
1,716vertigo
1,168train
507office
472cbble
156dust

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

Faceit stats

Combat

4Matches
75%Win rate
1.67Avg K/D
84.1ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%1.4619.0
Ancient1100%3.6018.0
Nuke10%0.569.0
Train1100%1.0618.0

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.

13.7%Headshot accuracy
40.5%Accuracy (enemy spotted)
41.2%Spray accuracy
88.1%Counter-strafing
11.6°Preaim
665msReaction time
31.4%T opening success
48.4%CT opening success
0.51Enemies flashed / flash
5.9%Flash assists
5.91HE damage / grenade
14.58Flashes / 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 13.687% — below the 15% mark we flag

    Aim Training
  2. 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 31.4237% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0013%11 Feb
dust24–13-0.0020%11 Feb
anubis14–160.0414%11 Feb
dust216–120.0223%6 Feb
anubis13–110.0310%6 Feb
ancient13–11-0.0113%5 Feb
anubis11–13-0.0320%5 Feb
nuke5–13-0.0314%5 Feb
ancient13–10.0921%3 Feb
overpass11–13-0.0317%3 Feb
nuke10–130.0315%3 Feb
anubis3–13-0.0313%3 Feb
overpass13–8-0.0012%2 Feb
nuke13–30.086%2 Feb
overpass13–50.0417%2 Feb
ancient13–50.0112%2 Feb
anubis9–13-0.0212%29 Jan
nuke10–130.0020%29 Jan
ancient11–13-0.018%27 Jan
overpass11–13-0.0613%27 Jan
nuke4–13-0.0726%27 Jan
anubis10–130.0115%24 Jan
ancient13–100.0213%24 Jan
nuke2–13-0.076%24 Jan
overpass13–90.0011%24 Jan
anubis11–13-0.028%24 Jan
nuke11–130.0412%23 Jan
anubis0–13-0.089%23 Jan
overpass13–40.0311%23 Jan
anubis13–80.107%23 Jan
ancient13–6-0.028%20 Jan
dust213–110.0621%20 Jan
overpass13–60.019%19 Jan
ancient13–60.0419%19 Jan
dust213–110.0225%19 Jan
ancient10–13-0.0516%19 Jan
dust27–13-0.0212%19 Jan
nuke10–13-0.0233%19 Jan
ancient8–13-0.028%19 Jan
nuke9–130.019%19 Jan
overpass13–70.0215%19 Jan
ancient11–13-0.0712%18 Jan
dust213–00.1211%18 Jan
overpass11–13-0.0015%18 Jan
nuke3–13-0.0221%13 Jan
ancient13–60.017%13 Jan
inferno5–130.015%13 Jan
dust213–80.0019%11 Jan
mirage13–100.0621%11 Jan
nuke11–13-0.046%11 Jan
inferno13–7-0.026%11 Jan
dust24–130.0027%10 Jan
overpass13–60.1115%10 Jan
overpass13–90.1420%10 Jan
nuke3–13-0.0417%10 Jan
nuke13–70.0112%10 Jan
overpass11–13-0.0615%9 Jan
dust213–40.1124%9 Jan
train14–16-0.0413%9 Jan
ancient9–130.0114%9 Jan
ancient7–13-0.0917%30 Dec
dust24–13-0.0613%30 Dec
train6–13-0.0318%30 Dec
nuke9–13-0.017%30 Dec
overpass16–13-0.0211%30 Dec
ancient9–130.0713%30 Dec
train9–13-0.0120%30 Dec
dust27–13-0.0717%29 Dec
overpass7–13-0.0826%29 Dec
train10–13-0.0310%29 Dec
ancient5–13-0.0017%29 Dec
nuke13–7-0.0210%29 Dec
ancient13–10-0.036%29 Dec
overpass13–9-0.0410%29 Dec
dust216–120.0315%28 Dec
ancient13–8-0.017%28 Dec
overpass9–13-0.103%28 Dec
inferno0–13-0.0116%28 Dec
ancient7–130.0117%28 Dec
train6–13-0.049%19 Dec
ancient7–13-0.0114%19 Dec
dust213–90.0316%18 Dec
nuke5–13-0.0418%18 Dec
ancient10–13-0.0213%18 Dec
overpass13–16-0.0213%17 Dec
train11–130.0511%17 Dec
inferno7–130.0216%17 Dec
inferno16–140.048%16 Dec
ancient14–16-0.0210%16 Dec
inferno11–130.0215%10 Dec
ancient9–13-0.0713%10 Dec
nuke13–60.0314%10 Dec
inferno13–110.0919%7 Dec
mirage13–11-0.0116%7 Dec
train9–13-0.0214%7 Dec
overpass13–10-0.0116%7 Dec
ancient13–6-0.0225%6 Dec
inferno7–13-0.0219%6 Dec
train15–150.0212%6 Dec
nuke13–9-0.0318%6 Dec

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 →