Vladen the sexy rat

Vladen the sexy rat — CS2 Stats

NO76561198076386491[U:1:116120763]Steam profile ↗✓ No bans

4,213Tracked matches50%Win rate2021Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating25,984Top 10% of 204,412 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12858 of 251704 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,984 -1,068 30 Aug – 13 Oct · 18 days played
25,68427,052peak 27,05230 Aug13 Oct
27,052Peak Premier in tracked matches
40Days played since 2026-08-29

Premier CS Rating

  • 1,068 below peak (27,052)
  • -90 over 30 days · steady
  • Next: Gold band at 30,000 — 4,016 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGVladen the sexy ratFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,984 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning76
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLWWTWLTLL

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · +3.8pp headshot accuracy · −21ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 542ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 529ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 540ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.8
Utility6.1
Positioning7.6
Opening Duels5.1
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 45% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning7.6
Utility6.1
Mechanics7.4
Opening Duels6.7
Win Impact5.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time533ms−7ms
first ⅓ avg 540ms → last ⅓ avg 533ms
Headshot accuracy20.8%+0.7%
first ⅓ avg 20.1% → last ⅓ avg 20.8%

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.

Personal bests

0.14Best match rating · 8–8 · inferno, 13 Sept →
38%Best headshot accuracy · 9–13 · nuke, 3 Sept →
313msFastest reaction time · 0–9 · inferno, 1 Oct →
13–1Biggest win · mirage, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–17In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.01
dust2C167–944%0.03
nukeS1510–567%0.03
anubisC146–843%0.01
infernoD121–118%-0.01
ancientA85–363%0.01
cacheS75–271%0.03
train—41–325%0.02
vertigo—22–0100%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

434Matches
56%Win rate
1.20Avg K/D
87.1ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10247%1.0816.7
Ancient6758%1.2417.0
Dust25754%1.2617.3
Anubis5353%1.1416.3
Nuke4961%1.2016.8
Inferno4060%1.4018.1
Vertigo3462%1.1215.3
Cache1145%1.2218.1

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.

20.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.2%Spray accuracy
83.2%Counter-strafing
10.0°Preaim
543msReaction time
68.6%T opening success
44.8%CT opening success
0.68Enemies flashed / flash
3.7%Flash assists
8.58HE damage / grenade
11.23Flashes / match

Recommended for you

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0525%13 Oct →
mirage10–130.0221%13 Oct →
nuke13–30.0728%11 Oct →
mirage13–30.0623%11 Oct →
dust212–120.0419%9 Oct →
mirage13–20.0625%9 Oct →
cache11–13-0.0016%9 Oct →
train12–120.0214%7 Oct →
mirage0–13-0.0717%7 Oct →
mirage11–130.0717%7 Oct →
mirage14–160.0022%7 Oct →
nuke13–6-0.0513%6 Oct →
mirage16–140.0019%6 Oct →
inferno11–130.0022%5 Oct →
anubis13–9-0.0314%4 Oct →
inferno9–13-0.0317%3 Oct →
nuke13–11-0.0216%3 Oct →
anubis13–110.0215%2 Oct →
ancient9–13-0.0115%2 Oct →
mirage8–13-0.0914%1 Oct →
nuke11–130.0630%1 Oct →
inferno0–9-0.1520%1 Oct →
anubis10–13-0.0222%1 Oct →
ancient8–10.0125%1 Oct →
train11–130.0135%1 Oct →
dust213–100.0520%30 Sept →
anubis8–13-0.0230%30 Sept →
anubis13–30.0915%30 Sept →
ancient17–19-0.0222%29 Sept →
mirage13–5-0.0018%29 Sept →
cache13–60.0419%29 Sept →
dust213–80.0422%29 Sept →
ancient13–20.1437%29 Sept →
nuke13–110.0221%29 Sept →
anubis13–7-0.0313%28 Sept →
mirage6–130.0213%28 Sept →
anubis7–13-0.0618%28 Sept →
ancient13–40.0612%27 Sept →
mirage13–10-0.0514%27 Sept →
ancient13–10-0.0421%25 Sept →
mirage13–60.0323%24 Sept →
nuke13–40.1019%23 Sept →
dust211–13-0.0316%23 Sept →
anubis4–130.007%22 Sept →
cache13–7-0.0318%21 Sept →
ancient13–8-0.0619%21 Sept →
dust213–50.0723%20 Sept →
anubis11–13-0.0618%19 Sept →
mirage19–150.0322%19 Sept →
inferno8–130.0119%18 Sept →
anubis14–160.0013%16 Sept →
dust211–130.0429%15 Sept →
mirage13–90.0419%14 Sept →
inferno8–80.1423%13 Sept →
dust27–130.0213%13 Sept →
cache13–70.1318%12 Sept →
nuke5–130.0325%11 Sept →
nuke8–13-0.0220%9 Sept →
nuke13–60.0615%9 Sept →
inferno7–13-0.0311%9 Sept →
dust213–20.1324%9 Sept →
anubis12–160.0028%8 Sept →
mirage11–130.0316%8 Sept →
nuke13–60.1016%8 Sept →
anubis13–60.0713%7 Sept →
dust219–160.0723%7 Sept →
inferno7–9-0.0921%7 Sept →
inferno10–130.0117%6 Sept →
mirage13–110.0014%6 Sept →
dust213–50.0019%6 Sept →
inferno11–13-0.0414%6 Sept →
dust211–130.0523%5 Sept →
mirage13–110.0128%5 Sept →
inferno10–13-0.0226%4 Sept →
cache13–70.0215%4 Sept →
train13–70.0624%4 Sept →
mirage9–130.0128%4 Sept →
inferno7–130.0322%3 Sept →
dust28–13-0.0319%3 Sept →
mirage13–10.0018%3 Sept →
nuke9–13-0.0838%3 Sept →
dust26–13-0.0417%3 Sept →
nuke13–70.0216%3 Sept →
vertigo9–7-0.1918%2 Sept →
train8–13-0.0011%1 Sept →
dust25–13-0.018%1 Sept →
nuke11–130.0821%1 Sept →
anubis8–130.0120%1 Sept →
dust213–80.0621%1 Sept →
mirage13–9-0.0324%1 Sept →
ancient10–13-0.0316%31 Aug →
mirage13–160.0226%30 Aug →
dust24–13-0.0624%30 Aug →
cache17–190.0317%30 Aug →
anubis13–30.1220%30 Aug →
nuke13–90.0530%30 Aug →
vertigo13–100.0011%30 Aug →
nuke13–50.0014%29 Aug →
cache13–9-0.0118%29 Aug →
mirage13–110.0925%29 Aug →

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 →

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