Vulle

Vulle — CS2 Stats

FI76561198001789917[U:1:41524189]Steam profile ↗✓ No bans

1,161Tracked matches57%Win rate2020Tracked since
3,132Hours in CS5Hrs last 2 wks
CSDB Rating5.9 SolidSupport
FaceitLevel 10 · 2,219 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,219 → 2,219
+6Tracked matches · now 1,161
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Faceit ELO: 2,219 +0 1 Sept – 19 Oct · 4 observations
2,2192,219peak 2,2191 Sept19 Oct
17,856Peak Premier in tracked matches
2,219Highest Faceit ELO seen on CSDB
55Days played since 2024-09-07

Faceit ELO

  • At peak — 2,219
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 281 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate58.4%50.9%
Shot accuracy18.9%13.7%
Kill/death ratio1.071.09
Match win rate42.7%48.4%

Share this profile

CSDB.GGVulleFACEITLevel 10 · 2,219 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,219csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLWWWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.0pp headshot accuracy · +20ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 561ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 555ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 545ms

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 (+1.3 against its own average).

Aim7.5
Utility5.5
Positioning5.4
Opening Duels1.7
Clutch4.0

Limited utility dependence

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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Reaction time. 563ms 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

Aim7.5
Positioning5.4
Utility5.5
Mechanics5.7
Opening Duels1.2
Win Impact7.2

Composite 5.9/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time591ms−34ms
first ⅓ avg 625ms → last ⅓ avg 591ms
Headshot accuracy24.0%+4.8%
first ⅓ avg 19.2% → last ⅓ avg 24.0%

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

0.19Best match rating · 13–2 · overpass, 18 Jul →
50%Best headshot accuracy · 9–2 · inferno, 9 Jan →
359msFastest reaction time · 5–13 · ancient, 27 Sept →
13–1Biggest win · inferno, 19 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 27ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2717–1063%0.01
nukeB1910–953%0.02
dust2C167–944%0.01
trainA95–456%-0.01
anubisC73–443%-0.00
overpassA74–357%0.04
ancientC52–340%0.01
office—31–233%-0.00
mirage—31–233%-0.01
cache—10–10%-0.02
brewery—11–0100%0.18
jura—10–10%-0.00
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

217,119Lifetime kills
1.07K/D
4,284Matches
42.7%Match win rate
58.4%Headshot % · Top 25% of Level 10 players
18.9%Shot accuracy · Top 10% of Level 10 players
8,844MVPs
3,306Hours (in match)
6,416Bombs planted
1,115Bombs defused

Most-used weapons

AK-47130,762
AWP13,589
P2503,148
AUG2,077
FAMAS2,006

Lifetime map wins

7,379inferno
4,188nuke
3,815train
3,787dust2
1,311vertigo
1,008cbble
83lake
75assault

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

Faceit stats

Combat

1,168Matches
51%Win rate
1.23Avg K/D
79.0ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10455%1.1615.2
Nuke10057%1.3917.4
Anubis5441%1.0516.6
Train5155%1.2717.8
Dust24951%1.2216.5
Overpass3345%1.2217.7
Ancient2548%0.9915.5
Mirage1520%1.1919.2

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.

23.1%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.9%Spray accuracy
75.6%Counter-strafing
9.2°Preaim
563msReaction time
38.6%T opening success
31.0%CT opening success
0.64Enemies flashed / flash
11.8%Flash assists
7.69HE damage / grenade
3.99Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9915 — below the 4 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 38.6145% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0126%30 Oct →
office2–13-0.0345%30 Oct →
dust213–40.0523%16 Oct →
nuke13–80.0440%9 Oct →
inferno13–60.0517%9 Oct →
cache6–13-0.0233%2 Oct →
ancient3–13-0.0217%19 Sept →
inferno8–130.0325%4 Sept →
anubis13–80.0120%11 Aug →
dust213–40.0329%26 Jun →
inferno13–60.0128%26 Jun →
nuke13–6-0.0213%23 Jun →
inferno13–90.0015%22 Jun →
inferno10–130.0329%14 Jun →
dust28–13-0.0238%12 Jun →
anubis9–13-0.0422%12 Jun →
nuke13–50.0418%22 May →
inferno16–14-0.0228%24 Apr →
dust213–70.0525%24 Apr →
anubis11–130.0620%20 Mar →
mirage10–13-0.039%13 Feb →
anubis7–13-0.0613%6 Feb →
inferno9–20.0850%9 Jan →
overpass13–4-0.0321%9 Jan →
nuke13–50.0832%25 Dec →
train5–13-0.0416%19 Dec →
inferno13–10.0714%19 Dec →
inferno13–7-0.0120%12 Dec →
inferno4–9-0.0930%12 Dec →
dust25–13-0.0627%5 Dec →
mirage4–13-0.0616%5 Dec →
inferno13–80.0417%5 Dec →
overpass13–50.1118%5 Dec →
overpass6–13-0.0120%5 Dec →
dust25–13-0.0215%28 Nov →
inferno9–60.1326%7 Nov →
overpass5–9-0.0810%7 Nov →
dust24–13-0.0026%17 Oct →
train13–110.0629%17 Oct →
inferno11–130.0331%3 Oct →
nuke15–150.0623%3 Oct →
inferno13–8-0.019%3 Oct →
inferno13–100.0420%3 Oct →
nuke13–40.0412%30 Aug →
inferno11–13-0.0215%30 Aug →
train8–130.0317%23 Aug →
inferno13–60.0226%22 Aug →
overpass13–110.0423%15 Aug →
inferno9–6-0.047%15 Aug →
brewery9–10.1828%15 Aug →
nuke8–80.0215%2 Aug →
dust212–16-0.0223%25 Jul →
inferno13–70.0610%25 Jul →
nuke13–100.0315%25 Jul →
dust213–60.0112%25 Jul →
inferno6–13-0.0722%25 Jul →
inferno13–80.1321%18 Jul →
train13–110.0024%18 Jul →
overpass13–20.1930%18 Jul →
overpass14–160.0411%18 Jul →
nuke9–60.1140%11 Jul →
inferno8–8-0.0325%11 Jul →
inferno2–13-0.0122%4 Jul →
nuke13–80.0115%27 Jun →
dust213–50.0216%27 Jun →
dust213–100.0320%19 Jun →
ancient13–110.0730%19 Jun →
anubis13–90.0013%19 Jun →
jura6–13-0.0010%6 Jun →
anubis11–13-0.0519%28 May →
nuke6–13-0.0113%3 May →
inferno7–130.0432%17 Apr →
anubis13–100.0614%17 Apr →
dust211–130.0622%11 Apr →
nuke6–9-0.1011%14 Mar →
inferno13–10-0.0419%7 Mar →
train5–13-0.0415%7 Feb →
nuke3–130.0120%7 Feb →
train9–13-0.0513%17 Jan →
inferno13–10-0.0126%3 Jan →
nuke13–50.0311%3 Jan →
train13–6-0.0021%28 Dec →
ancient19–160.0019%14 Dec →
train13–7-0.0117%10 Dec →
nuke10–130.0022%30 Nov →
dust211–13-0.0229%30 Nov →
train13–5-0.0020%30 Nov →
inferno4–13-0.0721%30 Nov →
nuke7–130.028%5 Oct →
ancient11–130.0315%5 Oct →
nuke16–140.0018%5 Oct →
ancient5–13-0.0217%27 Sept →
dust27–130.1226%27 Sept →
nuke10–130.0223%27 Sept →
office13–50.0539%13 Sept →
mirage13–100.0725%13 Sept →
dust211–13-0.0022%13 Sept →
vertigo16–120.0216%13 Sept →
nuke14–160.0513%7 Sept →
office11–13-0.0324%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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