Vlad

Vlad — CS2 Stats

AU76561198020050594[U:1:59784866]Steam profile ↗VAC banned

1,974Tracked matches52%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating20,950Top 50% of 204,150 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#67735 of 251242 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 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: 20,950 +2,604 30 Aug – 10 Oct · 20 days played
18,34621,573peak 21,57330 Aug10 Oct
Faceit ELO: 1,307 +0 28 Aug – 23 Sept · 3 observations
1,3071,307peak 1,30728 Aug23 Sept
21,573Peak Premier in tracked matches
1,307Highest Faceit ELO seen on CSDB
30Days played since 2026-08-28

Faceit ELO

  • At peak — 1,307
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 44 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

Premier CS Rating

  • 623 below peak (21,573)
  • +1,507 over 30 days · improving
  • Next: Red band at 25,000 — 4,050 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-23
  • Purple band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGVladPREMIER20,950 · Pink band30 DAYS0 ELOPEAK ELO1,307csdb.gg/stats

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Performance scores

Aim83
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLTLWWWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · −141ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 511ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 502ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.3
Utility6.1
Positioning5.5
Opening Duels2.1
Clutch4.6

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 56% on T to 39% 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

Aim8.3
Positioning5.5
Utility6.1
Mechanics6.8
Opening Duels4.4
Win Impact5.6

Composite 6.7/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time549ms+22ms
first ⅓ avg 526ms → last ⅓ avg 549ms
Headshot accuracy20.1%+2.8%
first ⅓ avg 17.3% → last ⅓ avg 20.1%

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.

Personal bests

0.15Best match rating · 13–6 · dust2, 3 Sept →
100%Best headshot accuracy · 13–2 · dust2, 29 Sept →
281msFastest reaction time · 2–0 · anubis, 18 Sept →
13–0Biggest win · anubis, 31 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 83% over 6ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC176–1135%-0.01
dust2B178–947%0.03
infernoA148–657%0.03
nukeS128–467%0.05
anubisC94–544%-0.01
ancientD81–713%-0.00
cacheB63–350%0.04
officeS65–183%0.03
vertigoA53–260%0.03
overpass—22–0100%-0.01
train—21–150%0.01
rush_001—11–0100%0.10
shelter—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

144Matches
50%Win rate
0.98Avg K/D
85.5ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2343%0.9813.9
Dust2825%0.8915.6
Inferno771%1.1916.7
Overpass333%0.8215.3
Nuke333%0.7612.3
Ancient10%0.8814.0

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.

20.4%Headshot accuracy
38.7%Accuracy (enemy spotted)
46.2%Spray accuracy
80.6%Counter-strafing
11.0°Preaim
542msReaction time
56.4%T opening success
38.9%CT opening success
0.66Enemies flashed / flash
4.6%Flash assists
11.85HE damage / grenade
7.11Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.8556% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0424%11 Oct →
mirage2–13-0.068%10 Oct →
mirage12–120.0116%10 Oct →
dust25–13-0.0417%10 Oct →
nuke13–100.0119%10 Oct →
inferno13–80.055%6 Oct →
cache13–40.0719%6 Oct →
vertigo9–130.0830%5 Oct →
inferno4–13-0.0313%5 Oct →
mirage9–130.0326%4 Oct →
dust29–130.0012%4 Oct →
overpass13–5-0.0617%3 Oct →
nuke13–20.0745%3 Oct →
dust213–90.1016%3 Oct →
inferno5–130.0314%3 Oct →
mirage13–100.0722%3 Oct →
rush_0016–20.1010%3 Oct →
vertigo13–110.0111%1 Oct →
cache12–120.0016%1 Oct →
mirage2–130.028%1 Oct →
anubis2–13-0.0416%1 Oct →
nuke1–13-0.035%1 Oct →
cache13–70.0923%1 Oct →
inferno13–60.0224%1 Oct →
anubis9–13-0.0517%1 Oct →
ancient6–130.0017%1 Oct →
nuke13–60.0519%1 Oct →
vertigo13–70.0232%1 Oct →
dust213–20.03100%29 Sept →
train12–12-0.0023%29 Sept →
mirage10–13-0.0115%29 Sept →
vertigo3–130.0619%29 Sept →
ancient7–13-0.016%29 Sept →
inferno13–50.1414%29 Sept →
mirage13–11-0.019%27 Sept →
vertigo13–80.0028%27 Sept →
inferno7–13-0.0219%27 Sept →
dust213–110.0213%26 Sept →
mirage3–13-0.0214%26 Sept →
nuke13–90.0215%26 Sept →
ancient16–14-0.0018%26 Sept →
shelter6–13-0.0610%25 Sept →
inferno10–130.0314%25 Sept →
dust213–60.0619%25 Sept →
nuke13–110.0218%24 Sept →
inferno13–10-0.0318%20 Sept →
dust213–20.1522%20 Sept →
mirage2–13-0.0514%19 Sept →
mirage13–40.058%19 Sept →
dust210–13-0.0228%19 Sept →
inferno7–13-0.010%18 Sept →
office11–13-0.0219%18 Sept →
mirage2–130.0033%18 Sept →
cache4–130.0322%18 Sept →
dust212–120.0917%18 Sept →
anubis13–100.0519%18 Sept →
mirage13–6-0.0614%18 Sept →
anubis2–00.000%18 Sept →
anubis9–13-0.0616%17 Sept →
ancient5–13-0.0415%16 Sept →
overpass13–60.0411%16 Sept →
inferno13–60.0618%16 Sept →
dust23–13-0.0035%16 Sept →
nuke13–40.0814%16 Sept →
ancient7–130.0210%16 Sept →
inferno11–130.0323%16 Sept →
mirage4–13-0.078%16 Sept →
anubis8–13-0.0414%16 Sept →
anubis13–90.0317%16 Sept →
nuke4–130.0718%16 Sept →
cache3–130.036%16 Sept →
ancient8–130.0221%16 Sept →
nuke8–130.0821%14 Sept →
office13–70.0111%14 Sept →
mirage13–80.0915%14 Sept →
nuke14–16-0.0115%14 Sept →
inferno13–10.0350%13 Sept →
mirage13–9-0.0214%13 Sept →
ancient6–13-0.0317%13 Sept →
inferno13–70.0511%13 Sept →
dust21–13-0.1320%13 Sept →
dust213–100.0413%12 Sept →
dust210–13-0.035%12 Sept →
nuke13–80.1124%10 Sept →
dust25–130.0418%9 Sept →
train13–50.0323%8 Sept →
ancient4–130.0113%8 Sept →
mirage6–13-0.0219%7 Sept →
mirage1–13-0.095%7 Sept →
dust216–14-0.0226%6 Sept →
office13–110.0420%5 Sept →
office13–5-0.0027%5 Sept →
office8–00.0917%5 Sept →
office13–40.0313%5 Sept →
dust213–60.1526%3 Sept →
nuke13–80.1120%3 Sept →
cache13–80.0313%1 Sept →
dust212–160.0118%31 Aug →
anubis13–00.0914%31 Aug →
anubis6–13-0.048%30 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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