veljaN

veljaN — CS2 Stats

76561198261925371[U:1:301659643]Steam profile ↗✓ No bans

2,011Tracked matches73%Win rate2020Tracked since
CSDB Rating7.4 StrongSupport
Premier CS Rating27,733Top 5% of 213,399 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3525 of 259984 tracked
FaceitLevel 10 · 1,677 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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.

Rating over time

Premier CS Rating: 27,733 +2,241 7 Sept – 2 Nov · 17 days played
24,00027,733peak 27,7337 Sept2 Nov
27,733Peak Premier in tracked matches
1,677Highest Faceit ELO seen on CSDB
18Days played since 2026-09-07

Faceit ELO

  • At peak — 1,677
  • Next: Level 9 at 1,751 — 74 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-07
  • Level 7 first seen 2026-09-07

Premier CS Rating

  • At peak — 27,733
  • +1,780 over 30 days · improving
  • Next: Gold band at 30,000 — 2,267 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-07
  • Pink band first seen 2026-09-07

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.GGveljaNFACEITLevel 10 · 1,677 ELOSTANDINGTop 12.4% of rankedPREMIER27,733 · Red bandPEAK ELO1,677csdb.gg/stats

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Performance scores

Aim74
Positioning58
Utility89

0–100 skill scores via Leetify.

Recent form

HOT59–41Last 10059%Win rateWLWWWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.3pp headshot accuracy · −36ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 516ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 546ms

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 (+3.5 against its own average).

Aim7.4
Utility8.9
Positioning5.8
Opening Duels3.1
Clutch3.8

Strong CT-side openerEffective flashesHigh utility contribution

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 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Utility. Utility score of 89 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.4
Positioning5.8
Utility8.9
Mechanics6.3
Opening Duels3.8
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time541ms−14ms
first ⅓ avg 555ms → last ⅓ avg 541ms
Headshot accuracy19.7%−4.0%
first ⅓ avg 23.8% → last ⅓ avg 19.7%

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

0.21Best match rating · 13–4 · ancient, 4 Oct →
100%Best headshot accuracy · 3–1 · cache, 5 Oct →
320msFastest reaction time · 2–2 · dust2, 5 Oct →
13–0Biggest win · ancient, 20 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 77% over 13infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.03
dust2S2013–765%0.03
nukeA138–562%0.03
infernoC135–838%0.01
ancientS1310–377%0.04
cacheB137–654%0.00
anubis—31–233%0.04
overpass—10–10%0.10
office—11–0100%0.02
train—10–10%0.08
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

123Matches
67%Win rate
1.44Avg K/D
94.0ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
32%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2564%1.1617.5
Mirage2365%1.5619.9
Nuke1776%1.4319.7
Ancient1377%1.5521.0
Anubis989%1.7317.4
Dust2956%1.2517.1
Cache956%1.5018.9
Vertigo2100%2.3120.0

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.

19.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
40.6%Spray accuracy
78.5%Counter-strafing
11.7°Preaim
540msReaction time
34.6%T opening success
55.9%CT opening success
0.72Enemies flashed / flash
27.8%Flash assists
11.68HE damage / grenade
10.61Flashes / 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 34.5923% — below the 40% mark we flag

Spend your practice time on Inferno

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 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–90.0018%2 Nov →
mirage8–13-0.0110%2 Nov →
dust213–10-0.0530%2 Nov →
mirage13–7-0.0212%2 Nov →
nuke13–11-0.0311%2 Nov →
mirage13–10-0.0016%2 Nov →
mirage13–80.0621%2 Nov →
inferno7–13-0.0128%2 Nov →
ancient13–50.0613%1 Nov →
mirage13–70.0621%1 Nov →
ancient13–80.0422%1 Nov →
inferno16–130.0319%1 Nov →
nuke13–5-0.0124%1 Nov →
nuke13–50.1020%1 Nov →
mirage13–80.0117%30 Oct →
inferno16–130.0625%30 Oct →
mirage8–130.0319%30 Oct →
mirage4–13-0.0518%30 Oct →
anubis11–130.0431%30 Oct →
cache13–9-0.0317%30 Oct →
mirage11–13-0.0518%30 Oct →
mirage13–80.0925%30 Oct →
inferno11–13-0.0211%30 Oct →
inferno11–13-0.0526%30 Oct →
dust216–140.0221%26 Oct →
mirage13–10-0.0418%26 Oct →
cache13–110.0616%26 Oct →
mirage13–90.0518%25 Oct →
inferno13–70.0014%25 Oct →
ancient13–5-0.0125%25 Oct →
inferno13–80.0723%25 Oct →
mirage11–130.0526%25 Oct →
ancient10–13-0.0417%25 Oct →
nuke14–160.0020%25 Oct →
nuke6–130.0628%25 Oct →
dust213–40.0329%25 Oct →
cache13–90.0525%25 Oct →
cache13–60.0230%22 Oct →
mirage13–50.1325%22 Oct →
inferno13–100.0216%22 Oct →
ancient13–7-0.0216%22 Oct →
nuke6–13-0.0720%21 Oct →
ancient10–130.0220%21 Oct →
dust213–110.1223%21 Oct →
dust211–13-0.0138%21 Oct →
inferno14–160.0114%20 Oct →
ancient13–00.068%20 Oct →
dust28–130.0120%20 Oct →
mirage11–130.1022%20 Oct →
dust213–60.0213%20 Oct →
ancient13–100.0816%14 Oct →
inferno13–160.0828%14 Oct →
ancient13–70.0915%14 Oct →
ancient13–60.0618%7 Oct →
overpass10–130.1032%7 Oct →
office13–40.0219%7 Oct →
train4–130.0824%7 Oct →
mirage13–110.0821%5 Oct →
anubis2–130.0327%5 Oct →
inferno4–13-0.0120%5 Oct →
cache13–7-0.0429%5 Oct →
dust211–13-0.0429%5 Oct →
cache3–1-0.03100%5 Oct →
dust22–2-0.04100%5 Oct →
nuke13–70.0821%4 Oct →
dust27–130.0315%4 Oct →
dust213–90.0525%4 Oct →
inferno0–13-0.0750%4 Oct →
ancient13–40.2126%4 Oct →
cache1–13-0.0931%4 Oct →
cache1–13-0.0644%4 Oct →
mirage13–20.0820%4 Oct →
nuke11–130.0534%1 Oct →
dust213–60.0815%1 Oct →
nuke13–70.0119%1 Oct →
mirage8–13-0.0321%1 Oct →
nuke13–40.0720%30 Sept →
dust28–13-0.0126%30 Sept →
ancient13–50.0314%30 Sept →
anubis13–30.0418%29 Sept →
cache13–50.0913%27 Sept →
dust23–13-0.0531%27 Sept →
dust213–30.0828%27 Sept →
ancient7–13-0.0419%27 Sept →
inferno2–13-0.0414%27 Sept →
cache10–130.0041%27 Sept →
dust29–4-0.0424%27 Sept →
vertigo13–110.0520%27 Sept →
cache3–13-0.0021%27 Sept →
dust213–70.0823%27 Sept →
nuke9–130.0220%27 Sept →
mirage13–8-0.0219%27 Sept →
cache6–130.0721%27 Sept →
nuke13–80.0621%27 Sept →
dust211–40.1229%25 Sept →
mirage13–60.019%25 Sept →
dust213–60.0824%24 Sept →
cache2–13-0.0410%24 Sept →
dust213–90.0629%24 Sept →
mirage9–130.0430%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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