everka

everka — CS2 Stats

76561198152710172[U:1:192444444]Steam profile ↗✓ No bans

1,952Tracked matches67%Win rate2020Tracked since
2,949Hours in CS
CSDB Rating7.6 StrongSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,952 tracked matches. 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. 34 days played since 10 Mar 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: 26,872 +3,713 19 Jun28 Apr · 8 days played
23,15926,910peak 26,91019 Jun28 Apr
26,910Peak Premier in tracked matches
34Days played since 2025-03-10

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 9 among CSDB-tracked players (n=12,569), 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 rate50.0%48.3%51.0%meets
Shot accuracy19.3%13.2%13.7%above
Kill/death ratio1.471.071.09above
Match win rate43.6%46.9%48.4%4.8% short

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

Widest gap: Match win rate. 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.GGeverkaFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim88
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

HOT66322Last 10066%Win rateWWWLWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −3.1pp headshot accuracy · −12ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 23%
  • Avg reaction 542ms

Last 20

  • 146 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 548ms

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 (+1.6 against its own average).

Aim8.8
Utility6.7
Positioning5.8
Opening Duels5.1
Clutch2.6

Sharp aimerExcellent counter-strafingEffective 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 91% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 556ms 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

Aim8.8
Positioning5.8
Utility6.7
Mechanics8.9
Opening Duels4.7
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time555ms−79ms
first ⅓ avg 634ms → last ⅓ avg 555ms
Headshot accuracy24.4%+0.7%
first ⅓ avg 23.7% → last ⅓ avg 24.4%

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

0.18Best match rating · 9–5 · inferno, 8 Aug
41%Best headshot accuracy · 13–5 · inferno, 28 Apr
422msFastest reaction time · 13–2 · dust2, 26 Mar
13–1Biggest win · ancient, 11 Apr

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
910In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 78% over 23anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA29171259%0.03
dust2S2318578%0.05
ancientS1510567%0.03
infernoS107370%0.03
nukeS75271%0.01
anubisD72529%-0.01
overpassS75271%0.03
poseidon110100%0.16
train110100%0.01

Across the last 100 tracked matches.

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

Lifetime stats

233,378Lifetime kills
1.47K/D · Top 10% of Level 9 players
6,700Matches
43.6%Match win rate
50.0%Headshot % · Top 50% of Level 9 players
19.3%Shot accuracy · Top 10% of Level 9 players
19,422MVPs
2,949Hours (in match)
6,036Bombs planted
2,149Bombs defused

Most-used weapons

AK-4795,293
AWP53,202
FAMAS3,495
SSG 083,102
Knife2,838

Lifetime map wins

22,112dust2
4,369inferno
1,464nuke
1,296vertigo
470train
408cbble
68office
66dust

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

Faceit stats

Combat

134Matches
65%Win rate
1.80Avg K/D
78.8ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21173%1.5716.4
Ancient978%1.4715.3
Mirage771%2.2414.3
Inferno786%1.6820.3
Nuke540%0.9013.8
Overpass2100%1.8412.0
Anubis2100%1.2415.0
Vertigo10%1.2117.0

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.

24.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.6%Spray accuracy
89.9%Counter-strafing
8.4°Preaim
556msReaction time
49.6%T opening success
48.0%CT opening success
0.77Enemies flashed / flash
15.3%Flash assists
12.95HE damage / grenade
8.30Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–110.0228%28 Aug
nuke13–30.0216%28 Aug
ancient13–70.0531%28 Aug
anubis3–13-0.0314%28 Aug
mirage13–90.0524%27 Aug
inferno13–60.1319%27 Aug
dust213–110.0724%27 Aug
poseidon9–50.1624%8 Aug
inferno9–50.1823%8 Aug
inferno11–130.0528%8 Aug
dust29–130.1336%8 Aug
inferno13–5-0.0541%28 Apr
inferno8–13-0.0532%28 Apr
ancient13–6-0.0218%28 Apr
dust213–100.0923%15 Apr
dust213–80.0627%15 Apr
anubis8–120.0121%15 Apr
dust28–13-0.0427%15 Apr
dust213–20.0919%15 Apr
ancient13–8-0.0616%15 Apr
overpass14–16-0.0124%15 Apr
anubis9–13-0.0021%14 Apr
mirage13–70.0420%14 Apr
ancient8–13-0.079%14 Apr
mirage13–20.0223%14 Apr
ancient13–7-0.0127%14 Apr
nuke13–5-0.0426%13 Apr
mirage13–80.1031%13 Apr
nuke13–5-0.0113%13 Apr
ancient13–10.1632%11 Apr
ancient11–13-0.0236%10 Apr
mirage13–90.0122%9 Apr
overpass7–11-0.0231%9 Apr
ancient13–70.0530%6 Apr
inferno3–13-0.0540%6 Apr
overpass13–7-0.0326%6 Apr
mirage13–60.0722%6 Apr
ancient13–11-0.0024%4 Apr
dust211–130.0921%4 Apr
dust213–90.0836%2 Apr
nuke5–13-0.0030%31 Mar
dust213–8-0.0121%30 Mar
mirage11–130.0516%30 Mar
dust213–90.0430%30 Mar
nuke13–16-0.0218%30 Mar
ancient11–130.0625%30 Mar
dust213–11-0.0424%28 Mar
mirage6–130.0015%28 Mar
mirage12–120.0511%28 Mar
dust211–130.0012%28 Mar
anubis13–70.0329%27 Mar
ancient13–80.0124%27 Mar
dust28–130.0336%27 Mar
mirage8–00.0733%27 Mar
inferno13–110.0238%26 Mar
inferno13–90.0114%26 Mar
dust213–20.1127%26 Mar
dust213–50.0618%26 Mar
inferno13–30.0721%26 Mar
ancient13–20.1114%26 Mar
anubis13–10-0.0420%26 Mar
mirage6–13-0.0240%26 Mar
dust213–110.0428%26 Mar
overpass13–20.1028%26 Mar
mirage13–60.0224%25 Mar
mirage13–8-0.0614%19 Mar
anubis11–13-0.0022%19 Mar
inferno13–100.0020%19 Mar
ancient13–90.0524%19 Mar
dust213–10-0.0021%18 Mar
mirage13–30.0618%18 Mar
mirage11–130.0325%18 Mar
anubis4–13-0.0518%18 Mar
mirage13–70.0221%8 Mar
overpass13–90.1226%8 Mar
ancient7–130.0320%8 Mar
mirage4–13-0.0540%7 Mar
mirage2–90.0517%28 Feb
ancient3–130.0535%28 Feb
dust213–90.1221%28 Feb
mirage16–140.0223%28 Feb
nuke16–130.0922%21 Feb
dust213–20.0911%21 Feb
mirage13–8-0.0323%21 Feb
mirage8–13-0.0319%11 Oct
mirage13–70.0128%8 Jul
mirage14–16-0.0128%8 Jul
mirage13–80.0633%19 Jun
mirage13–30.0931%19 Jun
dust213–80.0231%11 Jun
mirage9–130.0333%3 Jun
mirage13–110.0214%3 Jun
mirage12–120.0719%3 Jun
overpass13–60.0030%2 Apr
overpass13–70.0819%17 Mar
mirage3–13-0.0126%13 Mar
train13–110.0124%13 Mar
dust213–80.1015%13 Mar
dust213–40.1128%10 Mar
dust213–4-0.0319%10 Mar

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 →