Vicious — CS2 Stats

76561199057809499[U:1:1097543771]

3,330Tracked matches68%Win rate2020Tracked since
7,554Hours in CS29Hrs last 2 wks
CSDB Rating5.3 Developing
FaceitLevel 3 · 528 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate70.2%42.2%42.7%above
Shot accuracy10.9%11.9%10.8%meets
Kill/death ratio0.760.981.000.23 short
Match win rate27.1%43.6%44.1%17.1% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGViciousFACEITLevel 3 · 528 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning42
Utility69

0–100 skill scores via Leetify.

Recent form

HOT484012Last 10048%Win rateWWWWWLWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim5.8
Aggression4.7
Utility6.9
Positioning4.2
Opening Duels0.6
Clutch3.2

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 82% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 723ms 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

Aim5.8
Positioning4.2
Utility6.9
Mechanics7.9
Opening Duels0.6
Win Impact10.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time734ms−26ms
first ⅓ avg 760ms → last ⅓ avg 734ms
Headshot accuracy14.1%−5.0%
first ⅓ avg 19.1% → last ⅓ avg 14.1%

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

0.07Best rating — train 13–2
130Biggest win — anubis
5Longest win streak
W5Current streak
45In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 69% over 26infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S2618869%-0.01
mirageC2081240%-0.01
nukeA159660%-0.00
cacheB105550%-0.03
infernoD102820%-0.03
vertigoC73443%0.00
train41325%-0.00
ancient41325%-0.05
anubis31233%-0.02
overpass1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

406,747Lifetime kills
0.76K/D
10,431Matches
27.1%Match win rate
70.2%Headshot % · Top 1% of Level 3 players
10.9%Shot accuracy
11,828MVPs
29,155Hours (in match)
5,527Bombs planted
2,059Bombs defused

Most-used weapons

AK-47232,247
Galil AR14,178
FAMAS13,104
AWP8,457
MP95,218
MAC-101,823

Lifetime map wins

12,771dust2
9,274inferno
6,167nuke
4,208vertigo
2,512train
297cbble
293office
62lake

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

Faceit stats

Combat

424Matches
48%Win rate
0.95Avg K/D
72.4ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12648%1.0013.2
Dust28154%0.9614.2
Inferno5944%1.0213.5
Ancient5836%0.7212.0
Anubis4149%0.9013.6
Nuke3250%1.0312.4
Train956%1.1513.0
Overpass771%0.9112.9

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.

14.4%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.0%Spray accuracy
85.8%Counter-strafing
9.5°Preaim
723msReaction time
31.7%T opening success
33.1%CT opening success
0.54Enemies flashed / flash
5.1%Flash assists
16.03HE damage / grenade
19.11Flashes / 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 14.4311% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 722.8176ms — above the 700ms mark we flag

    Aim Training
  3. 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 31.7144% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–20.0712%27 Aug
vertigo13–40.0212%27 Aug
dust213–4-0.0231%27 Aug
cache13–7-0.0210%27 Aug
dust213–80.0216%26 Aug
cache5–13-0.0316%26 Aug
inferno13–10-0.0515%26 Aug
nuke13–90.0522%26 Aug
mirage5–13-0.026%24 Aug
nuke13–20.0014%24 Aug
dust213–70.0323%24 Aug
dust212–12-0.038%23 Aug
nuke13–5-0.0132%22 Aug
mirage13–20.0413%21 Aug
cache13–10-0.019%21 Aug
ancient8–13-0.0812%21 Aug
mirage13–3-0.053%20 Aug
inferno7–13-0.1010%19 Aug
ancient10–13-0.0424%12 Aug
cache13–10-0.069%12 Aug
dust213–7-0.0413%12 Aug
dust213–50.008%10 Aug
nuke13–9-0.036%10 Aug
mirage9–13-0.036%9 Aug
vertigo8–13-0.0316%9 Aug
nuke6–130.0618%8 Aug
inferno12–12-0.0317%8 Aug
dust213–7-0.0319%8 Aug
nuke13–7-0.0312%8 Aug
nuke9–130.0026%5 Aug
mirage13–10.0415%5 Aug
nuke13–10-0.058%5 Aug
nuke13–4-0.016%5 Aug
cache1–13-0.0825%5 Aug
dust213–40.0433%5 Aug
mirage12–12-0.0426%5 Aug
nuke13–100.0120%2 Aug
inferno7–130.0613%2 Aug
dust213–3-0.0110%2 Aug
dust213–4-0.0220%2 Aug
mirage8–13-0.0220%31 Jul
dust212–12-0.0518%31 Jul
dust210–13-0.0214%31 Jul
inferno3–13-0.0719%30 Jul
mirage13–20.0419%30 Jul
vertigo12–12-0.0321%29 Jul
inferno3–13-0.0417%29 Jul
dust27–13-0.0123%28 Jul
mirage8–13-0.0311%28 Jul
train11–130.0113%28 Jul
vertigo13–6-0.0121%28 Jul
mirage13–80.0422%26 Jul
cache6–13-0.0710%26 Jul
nuke12–12-0.0320%26 Jul
dust29–13-0.046%25 Jul
vertigo7–130.0013%25 Jul
anubis13–00.0319%25 Jul
inferno12–120.0315%25 Jul
ancient13–11-0.065%23 Jul
nuke12–12-0.0613%23 Jul
dust213–70.0320%23 Jul
dust213–70.0416%23 Jul
nuke13–20.0524%23 Jul
dust213–110.0620%23 Jul
overpass12–12-0.0315%22 Jul
anubis12–12-0.0516%22 Jul
dust213–40.0222%22 Jul
mirage13–10-0.0223%22 Jul
inferno13–80.0115%20 Jul
ancient5–13-0.0213%18 Jul
cache13–10.0310%18 Jul
mirage13–40.0316%17 Jul
dust211–13-0.0313%17 Jul
dust213–11-0.0619%17 Jul
inferno10–13-0.0019%16 Jul
mirage13–8-0.0225%16 Jul
dust212–12-0.0920%16 Jul
dust29–10.0419%16 Jul
mirage8–130.0318%15 Jul
nuke11–13-0.0615%15 Jul
dust213–9-0.0116%15 Jul
vertigo7–13-0.0219%15 Jul
train2–13-0.0627%15 Jul
mirage4–6-0.140%14 Jul
dust210–13-0.0316%14 Jul
cache0–70.000%10 Jul
mirage11–13-0.0318%10 Jul
mirage7–13-0.0224%9 Jul
cache13–11-0.0320%8 Jul
nuke12–120.0416%7 Jul
mirage6–130.0119%7 Jul
dust213–50.0014%7 Jul
mirage2–130.0225%7 Jul
inferno7–13-0.0720%7 Jul
dust23–0-0.00100%7 Jul
vertigo13–80.0725%7 Jul
train5–13-0.0315%7 Jul
mirage4–13-0.0118%2 Jul
cache7–13-0.054%1 Jul
anubis7–13-0.0412%1 Jul

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 →