vleksy

vleksy — CS2 Stats

DE76561197990380409[U:1:30114681]Steam profile ↗✓ No bans

934Tracked matches56%Win rate2020Tracked since
2,977Hours in CS13Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating25,498Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17431 of 258973 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 25,498 +4,856 1 Jun – 27 Oct · 12 days played
20,54125,831peak 25,8311 Jun27 Oct
26,142Peak Premier in tracked matches
28Days played since 2026-06-01

Premier CS Rating

  • 333 below peak (25,831)
  • Next: Gold band at 30,000 — 4,502 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate52.7%48.2%50.9%above
Shot accuracy12.7%13.2%13.7%1.0% short
Kill/death ratio1.391.071.09above
Match win rate51.3%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGvleksyFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,498 · Red bandcsdb.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

Aim78
Positioning68
Utility63

0–100 skill scores via Leetify.

Recent form

COLD54–40–6Last 10054%Win rateLTLLTWLWLW

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · −43ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–3–2 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 494ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 514ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 536ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim7.8
Utility6.3
Positioning6.8
Opening Duels3.2
Clutch3.0

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

NiKo

Plays most like NiKo 85% 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 →

CSDB Rating breakdown

Aim7.8
Positioning6.8
Utility6.3
Mechanics7.0
Opening Duels5.0
Win Impact6.9

Composite 7.2/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time534ms−37ms
first ⅓ avg 570ms → last ⅓ avg 534ms
Headshot accuracy26.5%−0.8%
first ⅓ avg 27.4% → last ⅓ avg 26.5%

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

0.24Best match rating · 9–1 · debris, 24 Jul →
100%Best headshot accuracy · 2–0 · mirage, 11 Oct →
383msFastest reaction time · 10–13 · inferno, 7 Jun →
13–1Biggest win · dust2, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 64% over 14ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%-0.02
infernoA2011–955%-0.01
cacheA149–564%-0.00
mirageA85–363%-0.02
ancientD51–420%-0.06
nukeA53–260%-0.02
anubis—41–325%-0.04
debris—33–0100%0.17
overpass—32–167%-0.00
fachwerk—21–150%-0.04
train—20–20%-0.04
warden—22–0100%0.02
poseidon—11–0100%-0.08
eldorado—11–0100%-0.01
boulder—10–10%-0.02
shelter—11–0100%0.07
stronghold—10–10%0.05
vertigo—10–10%-0.05
alpine—11–0100%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,494Lifetime kills
1.39K/D · Top 10% of Level 9 players
4,625Matches
51.3%Match win rate · Top 25% of Level 9 players
52.7%Headshot % · Top 50% of Level 9 players
12.7%Shot accuracy
18,480MVPs
1,854Hours (in match)
7,486Bombs planted
2,755Bombs defused

Most-used weapons

AK-4749,139
AWP14,550
P2503,970
FAMAS1,920
SSG 081,509

Lifetime map wins

11,056dust2
7,543inferno
2,930nuke
2,226cbble
1,670train
938vertigo
732italy
675dust

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

Faceit stats

Combat

256Matches
59%Win rate
1.18Avg K/D
79.3ADR
53%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2446%0.9415.4
Inferno2176%1.1316.5
Dust21457%0.9414.2
Ancient1346%1.2515.9
Anubis1164%0.8613.8
Cache875%1.1216.0
Overpass450%0.9213.3
Nuke4100%1.7618.8

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.

24.6%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.0%Spray accuracy
81.6%Counter-strafing
8.7°Preaim
527msReaction time
53.7%T opening success
46.2%CT opening success
0.63Enemies flashed / flash
7.6%Flash assists
7.04HE damage / grenade
15.88Flashes / match

Recommended for you

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.

20% 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
ancient6–13-0.0810%27 Oct →
inferno15–150.0419%27 Oct →
inferno5–13-0.0236%27 Oct →
ancient7–13-0.0516%26 Oct →
cache15–15-0.0021%26 Oct →
cache13–100.0124%23 Oct →
nuke10–130.0525%23 Oct →
cache13–110.0420%23 Oct →
cache8–13-0.0228%23 Oct →
dust213–80.0342%23 Oct →
nuke13–2-0.0031%23 Oct →
cache13–60.0524%23 Oct →
cache13–90.0212%23 Oct →
inferno14–16-0.0424%20 Oct →
mirage13–10-0.0311%20 Oct →
nuke13–11-0.0536%15 Oct →
dust216–14-0.0226%14 Oct →
inferno13–7-0.0613%14 Oct →
dust212–160.0133%14 Oct →
dust213–1-0.0119%14 Oct →
inferno10–13-0.0221%14 Oct →
inferno15–15-0.0722%11 Oct →
mirage2–00.06100%11 Oct →
cache16–14-0.0223%11 Oct →
dust213–160.0234%11 Oct →
mirage8–130.0227%11 Oct →
dust216–14-0.0423%11 Oct →
cache13–50.0233%8 Oct →
anubis14–16-0.0123%8 Oct →
dust27–130.0138%8 Oct →
cache14–16-0.0519%8 Oct →
cache13–20.0426%8 Oct →
mirage15–15-0.0618%2 Oct →
ancient13–7-0.0432%2 Oct →
inferno8–130.0126%29 Sept →
inferno19–16-0.0328%27 Sept →
inferno7–13-0.0224%25 Sept →
dust213–110.0119%25 Sept →
dust29–13-0.0322%22 Sept →
anubis3–13-0.0527%22 Sept →
inferno13–3-0.0133%22 Sept →
dust213–7-0.0119%22 Sept →
dust210–13-0.0126%21 Sept →
dust216–13-0.0426%21 Sept →
inferno13–50.0220%21 Sept →
inferno13–30.0127%21 Sept →
poseidon9–7-0.0831%21 Sept →
debris9–20.1319%21 Sept →
dust22–13-0.0532%12 Sept →
dust211–13-0.0655%5 Sept →
inferno13–10-0.0127%23 Aug →
dust213–7-0.0837%23 Aug →
overpass13–2-0.0126%23 Aug →
fachwerk3–13-0.0438%23 Aug →
nuke13–10-0.0129%7 Aug →
mirage13–7-0.0617%7 Aug →
inferno13–80.0436%7 Aug →
train9–13-0.0518%7 Aug →
dust213–11-0.0119%5 Aug →
debris9–30.1427%24 Jul →
eldorado9–7-0.0128%24 Jul →
debris9–10.2430%24 Jul →
train7–13-0.0333%24 Jul →
ancient3–13-0.0117%24 Jul →
dust212–12-0.0426%24 Jul →
fachwerk13–6-0.0510%24 Jul →
boulder9–13-0.0225%24 Jul →
shelter13–110.0728%24 Jul →
inferno13–9-0.0128%24 Jul →
dust26–13-0.0126%24 Jul →
cache13–9-0.0818%22 Jul →
mirage13–7-0.0024%22 Jul →
inferno13–3-0.0030%22 Jul →
dust24–13-0.0142%22 Jul →
nuke12–12-0.0721%22 Jul →
dust213–9-0.0517%22 Jul →
cache13–2-0.0157%5 Jul →
anubis13–4-0.0433%5 Jul →
inferno13–4-0.0025%5 Jul →
mirage13–10-0.0728%20 Jun →
ancient4–13-0.1346%12 Jun →
dust27–13-0.0923%12 Jun →
inferno13–80.0524%12 Jun →
stronghold9–130.0518%12 Jun →
cache7–13-0.0721%8 Jun →
warden13–1-0.0121%7 Jun →
mirage3–130.0134%7 Jun →
dust29–13-0.0314%7 Jun →
inferno10–13-0.0518%7 Jun →
anubis8–13-0.0628%7 Jun →
overpass0–13-0.0124%7 Jun →
dust213–10-0.0227%7 Jun →
inferno6–130.0333%7 Jun →
vertigo8–13-0.0535%7 Jun →
dust210–130.0030%7 Jun →
cache6–130.0244%3 Jun →
warden13–110.0532%3 Jun →
alpine13–5-0.0612%3 Jun →
overpass13–70.0222%3 Jun →
dust213–40.0820%1 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.