Veke

Veke — CS2 Stats

FI76561198997964449[U:1:1037698721]Steam profile ↗✓ No bans

2,102Tracked matches57%Win rate2020Tracked since
2,931Hours in CS27Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating19,560Top 50% of 204,316 CSDB-tracked playersPurple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#88680 of 251424 tracked
FaceitLevel 7 · 1,366 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (7 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: 19,560 +4,764 25 May – 6 Oct · 17 days played
14,36519,903peak 19,90325 May6 Oct
19,999Peak Premier in tracked matches
1,366Highest Faceit ELO seen on CSDB
58Days played since 2026-05-24

Faceit ELO

  • At peak — 1,366
  • Next: Level 8 at 1,531 — 165 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 343 below peak (19,903)
  • +658 over 30 days · improving
  • +4,672 over 90 days
  • Next: Pink band at 20,000 — 440 to go
  • Reached: 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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.3%45.7%46.8%4.5% short
Shot accuracy8.8%12.7%13.0%4.2% short
Kill/death ratio1.001.051.060.06 short
Match win rate45.4%45.7%46.3%meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVekeFACEITLevel 7 · 1,366 ELOSTANDINGTop 42.3% of rankedPREMIER19,560 · Purple bandPEAK ELO1,366csdb.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

Aim64
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLLWWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.1pp headshot accuracy · +29ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 511ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 496ms

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 (+1.2 against its own average).

Aim6.4
Utility5.4
Positioning5.3
Opening Duels3.0
Clutch3.2

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: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim6.4
Positioning5.3
Utility5.4
Mechanics4.6
Opening Duels2.0
Win Impact7.2

Composite 5.4/10 (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 rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time495ms−70ms
first ⅓ avg 565ms → last ⅓ avg 495ms
Headshot accuracy15.5%−2.5%
first ⅓ avg 18.0% → last ⅓ avg 15.5%

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

0.13Best match rating · 14–16 · mirage, 1 Jun →
31%Best headshot accuracy · 9–5 · inferno, 7 Jul →
359msFastest reaction time · 4–13 · ancient, 20 Sept →
13–2Biggest win · dust2, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 17ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%0.01
ancientD186–1233%-0.02
infernoS1712–571%-0.01
nukeC166–1038%-0.01
cacheA74–357%-0.00
anubisB63–350%-0.03
mirageC52–340%0.01
overpass—22–0100%0.01
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,651Lifetime kills
1.00K/D
4,195Matches
45.4%Match win rate
42.3%Headshot %
8.8%Shot accuracy
12,511MVPs
1,649Hours (in match)
3,761Bombs planted
1,166Bombs defused

Most-used weapons

AK-4723,892
AWP6,984
MP91,956
FAMAS1,947
MAC-101,925

Lifetime map wins

6,635dust2
5,724nuke
5,315inferno
3,159vertigo
735train
549office
542cbble
251lake

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

Faceit stats

Combat

1,174Matches
50%Win rate
1.01Avg K/D
77.6ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust223950%0.9914.8
Ancient21351%1.0515.4
Nuke15253%1.0115.7
Mirage14341%0.9613.2
Inferno9949%0.9814.3
Vertigo6955%1.1815.7
Anubis4743%0.9013.7
Cache4567%1.0916.6

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.

15.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.3%Spray accuracy
70.9%Counter-strafing
8.6°Preaim
492msReaction time
41.0%T opening success
35.3%CT opening success
0.61Enemies flashed / flash
7.1%Flash assists
7.79HE damage / grenade
7.96Flashes / 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 35.2784% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0211%10 Oct →
ancient8–13-0.0318%6 Oct →
mirage3–13-0.0918%5 Oct →
dust213–7-0.0112%5 Oct →
anubis13–5-0.0118%3 Oct →
anubis13–6-0.067%3 Oct →
nuke16–130.0414%30 Sept →
dust24–130.019%30 Sept →
nuke5–9-0.069%28 Sept →
dust213–2-0.059%28 Sept →
cache7–130.0611%28 Sept →
ancient3–13-0.0812%28 Sept →
nuke5–9-0.0517%27 Sept →
vertigo13–40.0413%26 Sept →
ancient16–14-0.0710%26 Sept →
cache13–16-0.0516%26 Sept →
anubis13–3-0.0218%26 Sept →
ancient4–13-0.0612%20 Sept →
dust213–110.0316%20 Sept →
ancient14–16-0.0711%19 Sept →
inferno9–7-0.0625%19 Sept →
nuke13–110.0225%15 Sept →
ancient13–80.0220%11 Sept →
ancient13–60.0215%5 Sept →
dust24–13-0.0123%3 Sept →
dust213–10-0.008%1 Sept →
dust213–110.0222%30 Aug →
dust28–13-0.0019%29 Aug →
cache13–7-0.0517%26 Aug →
inferno5–13-0.0518%26 Aug →
dust213–40.1116%17 Aug →
nuke13–50.0513%16 Aug →
dust212–16-0.0429%15 Aug →
dust213–50.027%15 Aug →
dust213–70.0715%14 Aug →
dust220–220.0212%13 Aug →
ancient9–13-0.0523%2 Aug →
anubis5–13-0.0420%26 Jul →
anubis3–13-0.0120%20 Jul →
inferno13–11-0.0111%19 Jul →
inferno13–80.0513%17 Jul →
dust213–10-0.0215%17 Jul →
nuke6–13-0.0412%17 Jul →
dust213–80.0513%17 Jul →
cache10–13-0.0111%13 Jul →
mirage8–13-0.0427%10 Jul →
dust211–13-0.0014%10 Jul →
nuke13–100.0523%10 Jul →
cache13–9-0.0125%9 Jul →
cache13–110.0116%9 Jul →
dust213–6-0.039%9 Jul →
inferno9–50.1231%7 Jul →
overpass9–50.0514%5 Jul →
dust25–13-0.0220%3 Jul →
dust211–130.1115%3 Jul →
nuke9–13-0.0124%2 Jul →
inferno8–80.0316%29 Jun →
nuke2–9-0.1425%29 Jun →
nuke6–130.0121%29 Jun →
ancient4–130.018%29 Jun →
inferno13–9-0.0220%29 Jun →
inferno9–4-0.059%28 Jun →
inferno9–7-0.0113%28 Jun →
inferno9–7-0.0827%28 Jun →
dust29–13-0.0515%28 Jun →
dust213–100.0627%19 Jun →
ancient9–130.0223%17 Jun →
dust215–150.0017%17 Jun →
ancient6–13-0.0217%17 Jun →
dust213–6-0.0526%17 Jun →
nuke13–6-0.0315%16 Jun →
mirage13–10-0.0016%16 Jun →
overpass13–8-0.0313%15 Jun →
nuke9–13-0.0614%14 Jun →
nuke10–130.0514%13 Jun →
ancient13–80.0613%13 Jun →
dust213–100.0817%13 Jun →
ancient6–13-0.0610%12 Jun →
inferno9–60.0425%12 Jun →
dust213–110.0220%12 Jun →
dust26–13-0.0415%12 Jun →
cache13–40.0316%11 Jun →
dust213–5-0.0117%9 Jun →
ancient13–100.0127%9 Jun →
mirage13–70.0216%7 Jun →
dust213–100.0527%6 Jun →
inferno13–80.0920%5 Jun →
inferno8–80.0126%4 Jun →
ancient10–13-0.0421%3 Jun →
nuke9–130.0120%2 Jun →
mirage14–160.1322%1 Jun →
inferno9–4-0.0313%30 May →
inferno4–9-0.0921%30 May →
nuke5–9-0.0421%30 May →
inferno9–4-0.0517%29 May →
anubis10–13-0.0315%29 May →
inferno8–8-0.1611%28 May →
ancient7–13-0.098%28 May →
nuke16–120.0527%25 May →
ancient13–30.0219%24 May →

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 →

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