v0k1 😈

v0k1 😈 β€” CS2 Stats

JM76561199206812913[U:1:1246547185]Steam profile β†—βœ“ No bans

833Tracked matches37%Win rate2021Tracked since
2,016Hours in CS32Hrs last 2 wks
CSDB Rating3.8 Learning
FaceitLevel 8 Β· 1,132 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate44.7%47.0%48.5%3.9% short
Shot accuracy9.9%12.7%13.3%3.3% short
Kill/death ratio1.001.071.070.08 short
Match win rate50.0%46.4%47.0%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGv0k1 😈FACEITLevel 8 · 1,132 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning37
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWWWLWLLLLW

Last 10 vs previous 10: +30pp win rate Β· -0.01 avg rating

Player DNA

Aim5.7
Aggression3.4
Utility6.1
Positioning3.7
Opening Duels0.0
Clutch2.0

Style profile from tracked-match aggregates β€” 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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 39% on CT to 20% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.7
Positioning3.7
Utility6.1
Mechanics4.9
Opening Duels1.1
Win Impact0.6

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02βˆ’0.00
first β…“ avg -0.02 β†’ last β…“ avg -0.02
Reaction time637msβˆ’25ms
first β…“ avg 662ms β†’ last β…“ avg 637ms
Headshot accuracy16.7%+0.6%
first β…“ avg 16.2% β†’ last β…“ 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.

Highlights

0.11Best rating β€” dust2 13–4
13–0Biggest win β€” mirage
5Longest win streak
W3Current streak
5–8In matches decided by ≀2 rounds
5Overtime games

Map breakdown

mirageBest map Β· 63% over 27ancientWeakest map Β· 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3617–1947%-0.00
mirageA2717–1063%-0.01
infernoC166–1038%-0.02
ancientD92–722%-0.01
anubisC52–340%-0.04
cacheβ€”31–233%-0.07
nukeβ€”20–20%-0.09
overpassβ€”21–150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,626Lifetime kills
1.00K/D
2,278Matches
50.0%Match win rate Β· Top 25% of Level 8 players
44.7%Headshot %
9.9%Shot accuracy
5,481MVPs
1,023Hours (in match)
1,627Bombs planted
482Bombs defused

Most-used weapons

AK-4714,794
AWP7,827
FAMAS1,365
MP91,315
Knife1,083

Lifetime map wins

6,597dust2
3,373inferno
679nuke
626vertigo
76train
10cbble
7bank
5ar_shoots

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

Faceit stats

Combat

1,169Matches
51%Win rate
1.00Avg K/D
81.4ADR
40%Headshot %

Clutches & streaks

30%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22051%0.9716.1
Dust219351%1.0516.4
Ancient10750%0.9815.9
Anubis10347%0.9114.8
Inferno9456%0.9914.7
Nuke2138%0.8713.7
Vertigo1560%0.9014.7
Overpass1050%1.0217.8

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

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

16.9%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.2%Spray accuracy
72.1%Counter-strafing
9.6Β°Preaim
635msReaction time
20.3%T opening success
39.1%CT opening success
0.72Enemies flashed / flash
3.5%Flash assists
10.31HE damage / grenade
11.58Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 20.2888% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games β€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy β†’Ancient grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
dust213–1-0.0118%29 Aug β†’
mirage13–10.0717%26 Aug β†’
mirage13–50.0631%26 Aug β†’
mirage9–13-0.055%24 Aug β†’
inferno13–11-0.0313%24 Aug β†’
inferno9–13-0.0322%18 Aug β†’
dust23–13-0.0511%18 Aug β†’
dust27–13-0.1110%17 Aug β†’
nuke10–13-0.1117%15 Aug β†’
mirage13–7-0.0714%14 Aug β†’
cache5–13-0.0843%13 Aug β†’
mirage7–13-0.0115%11 Aug β†’
inferno7–130.0118%7 Aug β†’
mirage13–7-0.0111%7 Aug β†’
dust211–13-0.0011%7 Aug β†’
inferno5–13-0.0235%6 Aug β†’
anubis8–13-0.0322%4 Aug β†’
cache13–8-0.0126%3 Aug β†’
dust27–13-0.0316%2 Aug β†’
mirage4–13-0.0318%30 Jul β†’
mirage1–13-0.066%29 Jul β†’
dust26–13-0.0218%28 Jul β†’
ancient10–13-0.0611%26 Jul β†’
mirage3–13-0.0714%23 Jul β†’
dust213–80.0527%23 Jul β†’
mirage8–130.0111%23 Jul β†’
dust213–80.0112%22 Jul β†’
ancient13–11-0.006%22 Jul β†’
inferno13–80.0110%21 Jul β†’
dust210–130.0726%20 Jul β†’
mirage6–13-0.0313%20 Jul β†’
dust213–110.0814%20 Jul β†’
dust213–40.0112%19 Jul β†’
dust21–130.027%18 Jul β†’
mirage13–10-0.015%17 Jul β†’
dust213–90.0412%11 Jul β†’
anubis9–13-0.0311%10 Jul β†’
ancient10–13-0.0421%7 Jul β†’
dust29–13-0.0213%5 Jul β†’
dust213–9-0.0021%5 Jul β†’
dust27–13-0.0119%4 Jul β†’
inferno4–130.0013%4 Jul β†’
overpass6–13-0.078%29 Jun β†’
dust213–40.0510%27 Jun β†’
dust27–13-0.0236%20 Jun β†’
cache7–13-0.1016%19 Jun β†’
ancient9–130.0018%13 Jun β†’
dust213–40.1114%12 Jun β†’
dust21–13-0.0721%9 Jun β†’
dust213–80.0614%8 Jun β†’
inferno13–5-0.1311%2 Jun β†’
dust213–40.000%30 May β†’
nuke6–13-0.0613%30 May β†’
ancient3–13-0.0213%29 May β†’
mirage13–80.1025%28 May β†’
mirage13–6-0.0126%28 May β†’
dust212–12-0.0313%26 May β†’
mirage13–2-0.039%19 May β†’
ancient15–150.0517%17 May β†’
inferno13–3-0.0317%16 May β†’
dust22–8-0.09100%16 May β†’
mirage13–4-0.0114%11 May β†’
inferno13–110.0212%11 May β†’
mirage13–6-0.0214%10 May β†’
dust213–20.0211%10 May β†’
mirage9–130.0510%4 May β†’
mirage13–0-0.0113%3 May β†’
dust210–130.0322%25 Apr β†’
ancient13–7-0.0116%22 Apr β†’
dust211–13-0.1013%19 Apr β†’
ancient11–130.0116%18 Apr β†’
inferno5–130.0722%17 Apr β†’
inferno11–130.0515%11 Apr β†’
mirage13–90.0222%11 Apr β†’
dust216–13-0.0716%10 Apr β†’
dust213–3-0.0311%9 Apr β†’
mirage13–6-0.0114%9 Apr β†’
anubis16–13-0.0312%5 Apr β†’
mirage9–130.0115%4 Apr β†’
inferno14–16-0.0117%30 Mar β†’
dust213–9-0.0122%30 Mar β†’
mirage13–80.0511%29 Mar β†’
mirage13–5-0.039%27 Mar β†’
dust213–90.0316%23 Mar β†’
anubis5–13-0.085%22 Mar β†’
inferno11–13-0.037%18 Mar β†’
anubis13–11-0.0413%1 Feb β†’
dust23–130.0215%24 Jan β†’
ancient11–13-0.0611%18 Jan β†’
dust210–13-0.089%8 Jan β†’
dust22–13-0.080%23 Dec β†’
mirage4–13-0.0924%23 Dec β†’
mirage16–130.019%12 Dec β†’
dust27–00.0650%11 Dec β†’
mirage9–00.0525%11 Dec β†’
inferno13–10-0.0619%29 Oct β†’
dust211–130.0115%25 Oct β†’
inferno6–13-0.0424%25 Oct β†’
overpass13–5-0.0114%12 Oct β†’
inferno3–13-0.0426%12 Sept β†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’