VLAD OF SOARA

VLAD OF SOARA — CS2 Stats

76561199182748398[U:1:1222482670]Steam profile ↗✓ No bans

240Tracked matches45%Win rate2026Tracked since
CSDB Rating2.6 LearningSupport
Premier CS Rating6,608Light Blue band · top ~71.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Jun 2026 (83 days ago). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 29 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,608 +2,953 29 May29 Jun · 25 days played
3,6557,790peak 7,79029 May29 Jun
8,093Peak Premier in tracked matches
26Days played since 2026-05-29

Premier CS Rating

  • 1,182 below peak (7,790)
  • +2,851 over 30 days · improving
  • Next: Blue band at 10,000 3,392 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGVLAD OF SOARAPREMIER6,608 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning29
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWLLLLWWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.5pp headshot accuracy · −12ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 725ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 717ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 723ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim2.5
Utility4.5
Positioning2.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 65% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 712ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning2.9
Utility4.5
Mechanics3.5
Opening Duels0.0
Win Impact3.3

Composite 2.6/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time717ms−68ms
first ⅓ avg 785ms → last ⅓ avg 717ms
Headshot accuracy10.8%−0.4%
first ⅓ avg 11.2% → last ⅓ avg 10.8%

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

0.09Best match rating · 13–6 · nuke, 5 Jun
30%Best headshot accuracy · 11–13 · dust2, 2 Jun
563msFastest reaction time · 1–13 · ancient, 18 Jun
13–1Biggest win · ancient, 22 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 75% over 8anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB22111150%-0.04
dust2B21101148%-0.04
mirageA2012860%-0.02
infernoS128467%-0.03
anubisD113827%-0.06
nukeS86275%-0.02
train32167%0.01
vertigo2020%-0.03
overpass1010%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.9%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.8%Spray accuracy
65.6%Counter-strafing
10.2°Preaim
712msReaction time
25.0%T opening success
22.2%CT opening success
0.55Enemies flashed / flash
2.2%Flash assists
7.88HE damage / grenade
6.50Flashes / 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 10.8805% — 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 712.4954ms — 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 24.9999% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0313%29 Jun
mirage5–13-0.0310%29 Jun
ancient11–13-0.059%29 Jun
ancient7–13-0.058%28 Jun
anubis6–13-0.0414%28 Jun
nuke13–11-0.0313%28 Jun
inferno16–120.0614%27 Jun
ancient5–13-0.0911%27 Jun
nuke13–9-0.049%27 Jun
dust25–13-0.0213%27 Jun
dust213–10-0.046%26 Jun
nuke13–11-0.0214%25 Jun
anubis5–13-0.0210%25 Jun
dust29–13-0.0413%24 Jun
anubis14–16-0.0713%22 Jun
ancient16–14-0.0311%22 Jun
mirage2–13-0.104%22 Jun
ancient13–1-0.0522%22 Jun
anubis6–13-0.089%22 Jun
dust215–15-0.018%20 Jun
inferno16–13-0.0716%20 Jun
inferno13–70.0311%20 Jun
nuke13–9-0.0510%20 Jun
anubis8–13-0.078%20 Jun
mirage13–11-0.0014%19 Jun
dust210–13-0.0611%19 Jun
mirage7–13-0.049%19 Jun
ancient1–13-0.078%18 Jun
anubis5–13-0.086%17 Jun
mirage13–80.029%17 Jun
train2–13-0.038%17 Jun
train13–60.0910%17 Jun
train13–4-0.0217%17 Jun
ancient6–13-0.053%16 Jun
mirage7–13-0.1013%16 Jun
inferno13–6-0.0412%16 Jun
dust213–10-0.0222%15 Jun
dust21–13-0.1019%13 Jun
ancient13–60.0416%12 Jun
dust26–13-0.0421%12 Jun
mirage13–9-0.0719%12 Jun
ancient13–5-0.047%11 Jun
inferno13–30.016%11 Jun
mirage10–3-0.000%11 Jun
dust211–2-0.060%11 Jun
mirage13–10-0.1014%11 Jun
anubis3–13-0.084%10 Jun
mirage14–16-0.0715%7 Jun
overpass4–130.0113%7 Jun
mirage13–40.0716%7 Jun
mirage13–8-0.050%7 Jun
dust29–13-0.037%7 Jun
mirage13–110.0118%7 Jun
mirage10–13-0.0316%7 Jun
dust213–4-0.038%6 Jun
ancient13–9-0.0316%6 Jun
inferno13–30.0117%6 Jun
anubis13–4-0.057%6 Jun
nuke7–130.0116%6 Jun
ancient13–50.014%6 Jun
dust27–13-0.0518%6 Jun
ancient4–13-0.0025%6 Jun
mirage13–100.0413%6 Jun
ancient13–10-0.0213%6 Jun
nuke13–4-0.0521%6 Jun
dust29–13-0.056%6 Jun
inferno8–13-0.072%6 Jun
ancient13–60.095%6 Jun
ancient10–13-0.069%6 Jun
dust213–60.0312%6 Jun
ancient11–130.027%6 Jun
inferno5–13-0.075%6 Jun
dust213–90.0219%6 Jun
nuke13–60.0916%5 Jun
dust28–13-0.0411%5 Jun
anubis13–6-0.0118%5 Jun
mirage13–8-0.016%5 Jun
mirage13–90.037%5 Jun
dust213–10-0.0812%5 Jun
ancient6–13-0.047%5 Jun
inferno13–9-0.0417%4 Jun
anubis13–9-0.059%4 Jun
inferno8–13-0.086%3 Jun
dust213–6-0.005%3 Jun
dust213–6-0.0415%3 Jun
vertigo7–13-0.0216%3 Jun
mirage9–13-0.0610%3 Jun
vertigo2–13-0.0415%3 Jun
dust211–13-0.0530%2 Jun
ancient13–11-0.112%2 Jun
mirage13–90.0113%2 Jun
ancient15–15-0.0514%31 May
ancient13–11-0.0711%31 May
nuke13–16-0.065%30 May
inferno13–90.0210%30 May
ancient13–11-0.082%30 May
anubis2–13-0.0815%30 May
inferno11–13-0.1015%29 May
ancient10–13-0.0311%29 May
mirage6–130.0115%29 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →