VØNK — CS2 Stats

76561198188027778[U:1:227762050]

1,486Tracked matches43%Win rate2023Tracked since
1,415Hours in CS
CSDB Rating4.0 Developing
FaceitLevel 8 · 1,618 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVØNKFACEITLevel 8 · 1,618 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY36604Last 10036%Win rateLWLWWLLLWW

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

Player DNA

Aim4.7
Aggression3.5
Utility4.6
Positioning4.1
Opening Duels0.7
Clutch2.6

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

NiKo

Plays most like NiKo 78% playstyle similarity

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

Where you differ: lower positioning profile; 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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim4.7
Positioning4.1
Utility4.6
Mechanics6.1
Opening Duels1.6
Win Impact2.6

Composite 4.0/10 (Developing), 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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time628ms−48ms
first ⅓ avg 676ms → last ⅓ avg 628ms
Headshot accuracy15.3%−2.0%
first ⅓ avg 17.3% → last ⅓ avg 15.3%

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

0.06Best rating — dust2 13–2
132Biggest win — dust2
3Longest win streak
84In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 64% over 11infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2D42142833%-0.03
mirageC2381535%-0.04
infernoD1641225%-0.05
anubisA117464%-0.03
ancient43175%-0.04
nuke3030%-0.07
overpass1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,117Lifetime kills
1.09K/D · Top 50% of tracked players
8,209Matches
73.7%Match win rate · Top 1% of tracked players
48.9%Headshot % · Top 50% of tracked players
10.7%Shot accuracy
22,699MVPs
1,415Hours (in match)
2,047Bombs planted
607Bombs defused

Most-used weapons

AK-4721,344
AWP8,647
P903,035
MAC-101,660
SSG 081,301
XM10141,264

Lifetime map wins

19,811dust2
3,071inferno
1,879vertigo
1,089nuke
381train
143office
113dust
110italy

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

Faceit stats

Combat

82Matches
68%Win rate
0.81Avg K/D
67.9ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2677%0.8812.9
Dust21872%0.7711.1
Ancient1747%0.7212.5
Inferno1362%0.8013.5
Vertigo4100%0.8314.8
Anubis367%1.0717.3
Train1100%0.6210.0

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.

15.1%Headshot accuracy
29.4%Accuracy (enemy spotted)
30.6%Spray accuracy
77.7%Counter-strafing
10.2°Preaim
616msReaction time
22.3%T opening success
43.1%CT opening success
0.77Enemies flashed / flash
2.4%Flash assists
8.44HE damage / grenade
1.98Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.9814 — below the 4 mark we flag

    Grenade Lineups
  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 22.3425% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0618%28 Aug
dust213–11-0.0214%28 Aug
mirage10–130.0215%28 Aug
dust213–10-0.0312%28 Aug
dust213–9-0.0115%27 Aug
inferno10–13-0.047%26 Aug
mirage6–13-0.029%26 Aug
dust29–13-0.0022%26 Aug
dust213–110.0131%26 Aug
inferno13–6-0.043%24 Aug
inferno6–13-0.0527%24 Aug
nuke4–13-0.099%22 Aug
mirage13–3-0.0125%22 Aug
ancient16–12-0.0110%22 Aug
mirage3–13-0.036%20 Aug
dust213–9-0.0512%20 Aug
ancient13–8-0.1119%14 Aug
dust25–130.0216%14 Aug
mirage6–13-0.0117%9 Aug
ancient13–100.0113%9 Aug
dust210–13-0.0110%6 Aug
inferno11–13-0.068%6 Aug
mirage16–14-0.028%6 Aug
mirage4–13-0.077%5 Aug
inferno15–15-0.0524%3 Aug
nuke12–120.0117%3 Aug
mirage5–13-0.0915%3 Aug
dust213–90.0613%22 Mar
mirage9–13-0.0532%22 Mar
dust24–13-0.0321%15 Mar
anubis9–13-0.0714%15 Mar
dust27–13-0.0428%12 Mar
anubis13–8-0.0411%11 Mar
dust29–13-0.022%11 Mar
nuke4–13-0.124%6 Mar
mirage7–13-0.0818%2 Mar
mirage5–40.049%2 Mar
dust21–13-0.1111%2 Mar
dust25–12-0.0716%2 Mar
mirage6–13-0.0511%2 Mar
overpass4–13-0.0613%2 Mar
dust23–13-0.0213%2 Mar
mirage4–13-0.078%2 Mar
dust213–11-0.0215%1 Mar
dust213–30.0019%27 Feb
dust26–13-0.0617%27 Feb
anubis8–13-0.0822%24 Feb
inferno5–13-0.0414%24 Feb
dust213–20.0618%23 Feb
mirage8–13-0.0518%23 Feb
dust213–11-0.0324%22 Feb
dust213–9-0.0122%22 Feb
anubis13–7-0.0111%19 Feb
inferno11–13-0.0317%19 Feb
dust29–130.0124%19 Feb
dust211–13-0.0411%19 Feb
inferno7–13-0.0616%18 Feb
mirage13–80.0119%18 Feb
dust28–13-0.0440%16 Feb
inferno9–13-0.0624%13 Feb
anubis13–100.0117%13 Feb
anubis13–5-0.0327%13 Feb
mirage13–9-0.0230%13 Feb
dust24–13-0.064%13 Feb
dust213–80.0524%12 Feb
inferno13–10-0.0417%12 Feb
dust25–13-0.0017%12 Feb
dust23–13-0.0518%12 Feb
inferno13–60.0423%12 Feb
dust29–13-0.0633%11 Feb
anubis13–5-0.0713%11 Feb
dust24–13-0.0718%11 Feb
inferno4–13-0.0816%11 Feb
mirage13–9-0.0324%11 Feb
dust215–15-0.0514%11 Feb
dust22–13-0.0714%11 Feb
mirage13–10-0.0317%10 Feb
anubis16–14-0.0419%10 Feb
dust28–13-0.0327%10 Feb
mirage13–10-0.0513%10 Feb
inferno8–1-0.0520%10 Feb
dust28–13-0.0523%10 Feb
anubis6–13-0.0215%10 Feb
dust213–9-0.0322%9 Feb
inferno10–13-0.0515%9 Feb
mirage10–13-0.0618%9 Feb
mirage7–13-0.0518%8 Feb
inferno11–13-0.0518%8 Feb
dust25–13-0.0318%8 Feb
dust213–5-0.0116%8 Feb
dust25–13-0.0311%8 Feb
mirage1–13-0.1211%7 Feb
anubis16–14-0.0114%7 Feb
inferno6–13-0.1215%6 Feb
dust25–13-0.0818%6 Feb
dust23–13-0.0517%6 Feb
dust29–13-0.0513%6 Feb
anubis15–15-0.0214%6 Feb
mirage6–13-0.0314%6 Feb
dust29–13-0.0413%6 Feb

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 →