Vlotiel

Vlotiel — CS2 Stats

US76561198067377954[U:1:107112226]Steam profile ↗✓ No bans

379Tracked matches57%Win rate2020Tracked since
763Hours in CS
CSDB Rating5.7 SolidAll-Rounder
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 379 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,103 -1,896 20 Feb – 24 Jun · 20 days played
12,34315,116peak 15,11620 Feb24 Jun
15,116Peak Premier in tracked matches
56Days played since 2025-02-20

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,677), 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 rate33.2%41.8%42.7%9.5% short
Shot accuracy19.1%12.2%11.2%above
Kill/death ratio1.150.980.99above
Match win rate48.3%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot 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.GGVlotielFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

HOT41–49–10Last 10041%Win rateWWLWWWLWWW

Last 10 vs previous 10: +60pp win rate · +0.06 avg rating · +1.6pp headshot accuracy · −65ms reaction

Win rate up 60pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 484ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 601ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2
Utility4.8
Positioning5.3
Opening Duels3.4

Strong T-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.

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

ZywOo

Plays most like ZywOo 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 625ms 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

Aim6.2
Positioning5.3
Utility4.8
Mechanics6.8
Opening Duels2.9
Win Impact7.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time599ms−77ms
first ⅓ avg 676ms → last ⅓ avg 599ms
Headshot accuracy18.2%+3.5%
first ⅓ avg 14.7% → last ⅓ avg 18.2%

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

0.16Best match rating · 13–1 · cache, 19 Jul →
50%Best headshot accuracy · 0–7 · mirage, 2 Nov →
406msFastest reaction time · 0–7 · mirage, 2 Nov →
13–1Biggest win · cache, 19 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 60% over 5trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%-0.00
infernoC2711–1641%-0.01
cacheB136–746%-0.00
nukeC94–544%0.01
trainC83–538%0.02
mirageA53–260%-0.00
ancient—30–30%-0.07
overpass—30–30%0.02
anubis—21–150%-0.02
grail—10–10%-0.03
office—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

33,534Lifetime kills
1.15K/D · Top 25% of Level 3 players
1,842Matches
48.3%Match win rate · Top 25% of Level 3 players
33.2%Headshot %
19.1%Shot accuracy · Top 10% of Level 3 players
3,986MVPs
763Hours (in match)
2,137Bombs planted
450Bombs defused

Most-used weapons

Lifetime map wins

5,191dust2
2,767inferno
822nuke
511train
366office
365cbble
67vertigo
42lake

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

Skill profile

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

17.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.0%Spray accuracy
80.4%Counter-strafing
10.7°Preaim
625msReaction time
48.8%T opening success
34.1%CT opening success
0.51Enemies flashed / flash
7.4%Flash assists
7.66HE damage / grenade
8.04Flashes / 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 34.0941% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0931%2 Sept →
nuke13–80.0515%30 Aug →
cache4–13-0.0927%30 Aug →
inferno13–11-0.060%21 Aug →
cache13–80.0116%21 Aug →
mirage13–70.0621%17 Aug →
inferno9–130.0116%17 Aug →
cache13–10.1625%19 Jul →
inferno13–10-0.0216%19 Jul →
inferno13–2-0.0229%14 Jul →
dust214–16-0.0624%14 Jul →
dust26–13-0.108%12 Jul →
cache11–130.0122%12 Jul →
dust213–7-0.0428%20 Jun →
cache0–7-0.0623%8 Jun →
cache13–100.0013%8 Jun →
inferno5–13-0.0511%24 May →
cache12–120.0113%23 May →
dust24–13-0.0917%22 May →
cache12–12-0.0422%10 May →
cache13–80.0517%10 May →
cache6–13-0.0219%9 May →
cache13–8-0.0430%29 Apr →
cache13–6-0.0010%29 Apr →
cache4–13-0.006%28 Apr →
dust213–9-0.0115%24 Apr →
nuke13–10-0.0023%24 Apr →
ancient4–13-0.0811%17 Nov →
inferno5–13-0.0413%17 Nov →
inferno13–7-0.005%2 Nov →
mirage0–7-0.1350%2 Nov →
nuke12–120.0713%26 Oct →
overpass6–13-0.0114%24 Sept →
dust28–130.0721%24 Sept →
dust28–130.0227%19 Sept →
inferno13–110.0514%18 Sept →
inferno13–100.019%17 Sept →
dust213–100.025%17 Sept →
inferno10–50.0420%2 Sept →
mirage13–80.0710%2 Sept →
dust25–130.0422%27 Aug →
inferno12–120.108%24 Aug →
inferno6–13-0.0219%23 Aug →
inferno5–13-0.0130%9 Aug →
inferno10–130.0011%9 Aug →
train6–130.0124%2 Aug →
dust213–80.0720%31 Jul →
dust29–130.0214%31 Jul →
grail2–13-0.033%25 Jul →
dust212–120.0017%25 Jul →
overpass12–160.0710%20 Jul →
inferno11–13-0.0318%20 Jul →
dust213–50.1513%19 Jul →
overpass9–13-0.0123%19 Jul →
office7–13-0.0127%12 Jul →
inferno13–10-0.0222%12 Jul →
dust212–120.0016%11 Jul →
dust213–110.0120%24 Jun →
inferno13–60.0121%24 Jun →
dust211–13-0.0017%16 Jun →
inferno11–13-0.0511%31 May →
dust213–9-0.0712%31 May →
nuke10–13-0.0321%31 May →
mirage7–130.0226%31 May →
train13–20.0235%20 Apr →
dust20–13-0.097%20 Apr →
inferno15–150.0418%20 Apr →
dust28–13-0.0213%20 Apr →
dust213–80.0122%2 Apr →
nuke11–130.0120%31 Mar →
dust213–5-0.0214%31 Mar →
train13–90.0330%31 Mar →
dust210–130.0118%30 Mar →
ancient7–13-0.077%29 Mar →
anubis13–80.0116%29 Mar →
train10–13-0.025%29 Mar →
train13–60.0916%27 Mar →
inferno13–10-0.0111%27 Mar →
inferno10–13-0.0516%23 Mar →
train8–13-0.0613%23 Mar →
mirage13–10-0.0314%23 Mar →
inferno4–13-0.0021%23 Mar →
inferno15–15-0.014%21 Mar →
dust213–70.0431%21 Mar →
inferno11–13-0.009%18 Mar →
inferno13–8-0.0713%18 Mar →
dust211–13-0.049%17 Mar →
dust212–120.0115%15 Mar →
train6–13-0.015%15 Mar →
nuke1–7-0.0410%15 Mar →
dust213–100.0115%15 Mar →
inferno5–13-0.0610%14 Mar →
anubis2–13-0.056%14 Mar →
inferno15–150.0114%4 Mar →
dust213–11-0.0219%2 Mar →
nuke16–130.0219%25 Feb →
ancient1–13-0.0610%25 Feb →
train9–130.0719%23 Feb →
dust213–70.0329%20 Feb →
nuke2–13-0.1117%20 Feb →

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 →

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