v4lle

v4lle — CS2 Stats

76561199185646038[U:1:1225380310]Steam profile ↗✓ No bans

1,124Tracked matches31%Win rate2021Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating18,287Purple band · top ~15.3% of ranked players (population est.)
CSDB Leaderboard#97564 of 230721 tracked
FaceitLevel 8 · 1,590 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 May 2026 (135 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. 48 days played since 17 Nov 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,287 +1,128 17 Nov8 May · 27 days played
15,68322,747peak 22,74717 Nov8 May
22,747Peak Premier in tracked matches
1,590Highest Faceit ELO seen on CSDB
48Days played since 2025-11-17

Faceit ELO

  • At peak — 1,590
  • Next: Level 9 at 1,751 161 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 4,460 below peak (22,747)
  • Next: Pink band at 20,000 1,713 to go
  • Reached: Pink band · Purple band · Blue band · 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.GGv4lleFACEITLevel 8 · 1,590 ELOSTANDINGTop 31.2% of rankedPREMIER18,287 · Purple bandPEAK ELO1,590csdb.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

Aim55
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

COLD40555Last 10040%Win rateWLLLLTWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.6pp headshot accuracy · +1ms 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 667ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 5132 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 626ms

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 (+1.4 against its own average).

Aim5.5
Utility5.9
Positioning5.2
Opening Duels3.6
Clutch3.2

Effective flashes

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

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 603ms 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

Aim5.5
Positioning5.2
Utility5.9
Mechanics6.3
Opening Duels3.1
Win Impact0.0

Composite 4.8/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time623ms−41ms
first ⅓ avg 663ms → last ⅓ avg 623ms
Headshot accuracy17.6%−6.0%
first ⅓ avg 23.5% → last ⅓ avg 17.6%

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

0.17Best match rating · 13–4 · mirage, 6 Feb
50%Best headshot accuracy · 13–4 · anubis, 27 Feb
406msFastest reaction time · 19–17 · ancient, 12 Mar
13–3Biggest win · ancient, 28 Feb

Across the last 100 tracked matches.

Highlights

4Longest win streak
69In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC25111444%0.00
ancientD2481633%0.00
nukeC135838%0.00
anubisA117464%0.01
overpassD93633%-0.00
dust2D72529%-0.05
infernoC52340%0.04
sanctum21150%-0.03
poseidon2020%-0.00
train21150%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

522Matches
51%Win rate
1.02Avg K/D
79.0ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage9548%1.0516.3
Nuke9262%1.0616.2
Ancient9157%1.0516.0
Anubis7948%0.9114.7
Inferno3941%1.0616.6
Dust23837%0.9115.6
Train2642%0.8914.8
Vertigo2157%1.0917.0

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.

17.6%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.8%Spray accuracy
78.4%Counter-strafing
9.4°Preaim
603msReaction time
34.9%T opening success
49.8%CT opening success
0.70Enemies flashed / flash
6.5%Flash assists
8.56HE damage / grenade
9.68Flashes / 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

    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 34.8731% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0114%13 Sept
nuke3–130.0311%13 Sept
dust27–13-0.0224%8 May
anubis11–130.0225%7 May
dust23–13-0.1122%3 May
inferno8–80.0922%3 May
inferno9–60.0922%3 May
ancient9–13-0.029%3 May
inferno14–160.0321%2 May
anubis13–11-0.0611%28 Apr
ancient7–130.0523%28 Apr
ancient5–13-0.0019%28 Apr
anubis9–13-0.0015%27 Apr
ancient15–150.0820%27 Apr
mirage11–13-0.029%27 Apr
ancient2–13-0.098%27 Apr
mirage1–13-0.0417%13 Apr
mirage13–11-0.0123%30 Mar
nuke13–60.0816%30 Mar
nuke11–130.0015%29 Mar
ancient8–130.0420%29 Mar
mirage9–130.0621%29 Mar
ancient13–11-0.0417%29 Mar
ancient4–13-0.0216%18 Mar
dust22–13-0.1143%18 Mar
nuke10–13-0.0612%17 Mar
anubis13–100.0116%16 Mar
mirage13–100.0416%15 Mar
ancient19–17-0.0522%12 Mar
anubis13–80.0815%12 Mar
overpass7–130.0610%12 Mar
mirage7–13-0.0617%11 Mar
anubis13–100.028%11 Mar
sanctum6–9-0.189%10 Mar
overpass6–90.0313%10 Mar
mirage13–10-0.0414%10 Mar
nuke13–60.0114%10 Mar
anubis11–40.0215%10 Mar
mirage0–4-0.050%10 Mar
ancient5–13-0.0221%10 Mar
mirage13–7-0.0117%9 Mar
mirage13–9-0.0324%9 Mar
dust25–13-0.0312%9 Mar
dust213–10-0.1212%9 Mar
ancient13–50.0614%8 Mar
nuke13–9-0.0014%8 Mar
mirage13–10-0.0112%8 Mar
overpass3–13-0.0229%8 Mar
ancient13–80.1131%8 Mar
poseidon1–9-0.1028%5 Mar
ancient8–13-0.0229%1 Mar
mirage7–130.0035%28 Feb
mirage3–13-0.0112%28 Feb
ancient13–30.0726%28 Feb
overpass9–13-0.0810%27 Feb
anubis13–4-0.0650%27 Feb
mirage11–13-0.0323%27 Feb
ancient10–130.0220%25 Feb
nuke13–8-0.0129%25 Feb
mirage13–10-0.0313%24 Feb
mirage13–70.1419%23 Feb
nuke11–130.0015%12 Feb
ancient13–80.039%12 Feb
mirage13–10-0.0115%12 Feb
nuke7–90.0232%12 Feb
poseidon8–80.106%11 Feb
ancient10–13-0.0315%11 Feb
anubis13–90.0526%9 Feb
anubis7–13-0.0621%6 Feb
overpass15–15-0.0425%6 Feb
overpass13–3-0.0123%6 Feb
mirage13–40.1730%6 Feb
sanctum9–60.1223%26 Jan
ancient13–90.0922%4 Jan
dust27–130.0219%3 Jan
mirage11–130.0719%3 Jan
ancient3–13-0.0617%19 Dec
dust213–100.0120%18 Dec
mirage15–15-0.0116%17 Dec
mirage7–13-0.0328%17 Dec
inferno5–13-0.0333%11 Dec
inferno9–30.030%8 Dec
ancient1–13-0.1213%4 Dec
overpass13–110.0733%3 Dec
mirage9–130.0321%3 Dec
nuke13–3-0.0015%30 Nov
nuke5–90.0321%30 Nov
anubis9–130.0429%28 Nov
nuke9–13-0.0339%27 Nov
ancient8–130.0331%27 Nov
train2–13-0.0121%27 Nov
ancient12–16-0.0326%27 Nov
mirage7–13-0.0826%25 Nov
nuke7–13-0.0220%25 Nov
overpass13–4-0.0120%22 Nov
ancient11–13-0.0322%21 Nov
ancient12–6-0.0043%21 Nov
overpass7–13-0.0130%20 Nov
mirage8–13-0.059%20 Nov
train13–110.0134%17 Nov

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 →