vile33 — CS2 Stats

76561198913724247[U:1:953458519]

635Tracked matches52%Win rate2020Tracked since
1,503Hours in CS12Hrs last 2 wks
CSDB Rating5.8 SolidAggressive Rifler
Premier CS Rating21,943Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#6262 of 19503 tracked
WingmanGold Nova Master
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 median
Headshot rate51.1%48.1%
Shot accuracy10.2%12.9%
Kill/death ratio1.111.08
Match win rate46.7%46.5%

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CSDB.GGvile33PREMIER21,943 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning44
Utility34

0–100 skill scores via Leetify.

Recent form

COLD53461Last 10053%Win rateLLLWLWLLLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression6.9
Utility3.4
Positioning4.4
Opening Duels2.5
Clutch6.6

Strong 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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.9
Positioning4.4
Utility3.4
Mechanics7.4
Opening Duels2.6
Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time573ms+7ms
first ⅓ avg 566ms → last ⅓ avg 573ms
Headshot accuracy23.6%+1.6%
first ⅓ avg 22.0% → last ⅓ avg 23.6%

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

0.19Best rating — cache 13–2
131Biggest win — inferno
6Longest win streak
L3Current streak
67In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 63% over 16infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB23121152%0.02
mirageA169756%0.01
dust2A1610663%-0.01
ancientB147750%-0.01
anubisA127558%-0.00
nukeA95456%0.03
infernoD93633%0.01
train1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,720Lifetime kills
1.11K/D · Top 50% of Pink band
1,911Matches
46.7%Match win rate · Top 50% of Pink band
51.1%Headshot % · Top 50% of Pink band
10.2%Shot accuracy
7,194MVPs
839Hours (in match)
2,143Bombs planted
780Bombs defused

Most-used weapons

Lifetime map wins

1,496inferno
1,403nuke
1,165dust2
901train
506vertigo
424lake
232cbble
40office

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

Faceit stats

Combat

51Matches
65%Win rate
1.34Avg K/D
99.7ADR
45%Headshot %

Clutches & streaks

53%1v1 clutch win
24%1v2 clutch win
19Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage12100%1.8521.0
Dust2560%1.5623.2
Nuke3100%1.8420.3
Inferno2100%1.1421.5
Ancient10%0.8713.0
Cache1100%1.1919.0

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.

23.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.5%Spray accuracy
83.1%Counter-strafing
9.8°Preaim
573msReaction time
29.2%T opening success
51.1%CT opening success
0.36Enemies flashed / flash
1.8%Flash assists
6.49HE damage / grenade
5.55Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3551 — below the 0.5 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 29.1771% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0725%21 Aug
cache7–130.0424%20 Aug
ancient11–13-0.0319%19 Aug
cache13–30.0623%19 Aug
nuke10–13-0.0727%18 Aug
dust213–40.0129%18 Aug
mirage10–13-0.0417%18 Aug
mirage10–13-0.0117%17 Aug
anubis3–130.0118%12 Aug
anubis13–11-0.0324%12 Aug
dust213–10-0.0434%12 Aug
dust23–13-0.1027%11 Aug
mirage9–13-0.0323%11 Aug
inferno13–90.0329%11 Aug
mirage13–40.0120%11 Aug
ancient6–13-0.0150%11 Aug
anubis13–4-0.1121%11 Aug
ancient6–13-0.058%10 Aug
cache13–9-0.0320%10 Aug
ancient13–90.0728%10 Aug
cache14–16-0.0210%9 Aug
nuke13–90.0429%9 Aug
ancient9–13-0.0223%8 Aug
ancient11–13-0.058%7 Aug
dust29–00.0539%6 Aug
cache13–3-0.0323%6 Aug
anubis15–15-0.0719%6 Aug
dust213–80.0626%6 Aug
cache13–8-0.0425%5 Aug
mirage13–110.0323%27 Jul
mirage9–13-0.0527%26 Jul
inferno11–130.0229%26 Jul
cache11–13-0.0115%23 Jul
inferno13–20.0228%23 Jul
ancient0–13-0.0711%22 Jul
cache5–13-0.0621%21 Jul
mirage4–130.1122%21 Jul
nuke13–7-0.0117%21 Jul
cache13–40.0232%21 Jul
dust26–13-0.0254%20 Jul
ancient2–13-0.0057%20 Jul
mirage13–70.0125%20 Jul
cache8–13-0.0127%20 Jul
dust213–50.0210%19 Jul
cache5–13-0.0126%19 Jul
cache7–13-0.0837%19 Jul
ancient13–8-0.0717%18 Jul
dust213–7-0.049%18 Jul
inferno1–13-0.0218%18 Jul
ancient13–8-0.0630%17 Jul
anubis16–140.0021%17 Jul
cache8–130.0220%16 Jul
nuke13–30.0720%16 Jul
cache7–130.0014%16 Jul
mirage13–20.0915%16 Jul
inferno9–130.0020%15 Jul
anubis13–90.0522%15 Jul
inferno13–1-0.0116%14 Jul
cache16–12-0.0113%14 Jul
cache10–130.0320%14 Jul
nuke6–13-0.0117%14 Jul
anubis16–130.0226%14 Jul
nuke8–130.0134%13 Jul
cache13–90.0522%13 Jul
inferno9–130.0028%13 Jul
mirage7–13-0.0014%13 Jul
anubis8–130.0321%13 Jul
cache13–7-0.0025%13 Jul
ancient16–13-0.0418%13 Jul
cache9–20.1013%13 Jul
mirage13–80.0121%13 Jul
mirage13–6-0.0223%13 Jul
dust213–6-0.0117%13 Jul
anubis14–160.1228%10 Jul
cache13–100.0920%9 Jul
ancient13–10.0133%9 Jul
dust23–13-0.0422%9 Jul
mirage13–70.0623%9 Jul
inferno4–100.0238%9 Jul
ancient19–160.0624%8 Jul
anubis7–13-0.0615%8 Jul
ancient13–110.0824%8 Jul
anubis13–10-0.0112%8 Jul
nuke9–130.0729%7 Jul
nuke13–50.0916%6 Jul
dust27–13-0.0424%6 Jul
cache13–20.1930%4 Jul
cache7–130.0439%4 Jul
mirage13–110.0238%3 Jul
cache13–90.0322%2 Jul
nuke13–90.0537%2 Jul
dust29–13-0.0613%2 Jul
inferno13–16-0.0115%1 Jul
mirage16–140.0117%1 Jul
anubis13–3-0.0113%1 Jul
dust214–16-0.0024%30 Jun
train3–130.0317%30 Jun
dust213–50.0617%30 Jun
dust213–70.039%29 Jun
dust213–60.0112%29 Jun

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 →