morko

morko — CS2 Stats

76561197998679034[U:1:38413306]Steam profile ↗✓ No bans

1,572Tracked matches59%Win rate2020Tracked since
1,997Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating14,323Blue band · top ~32% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−677Premier CS Rating · 15,000 → 14,323
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. 37 days played since 8 Jul 2026. 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: 14,323 +2,182 26 Jul20 Sept · 22 days played
11,27915,058peak 15,05826 Jul20 Sept
15,227Peak Premier in tracked matches
37Days played since 2026-07-08

Premier CS Rating

  • 735 below peak (15,058)
  • +1,931 over 30 days · improving
  • Next: Purple band at 15,000 677 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 6 among CSDB-tracked players (n=11,764), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.7%44.8%45.7%6.1% short
Shot accuracy13.7%12.4%12.7%above
Kill/death ratio0.901.041.050.15 short
Match win rate45.3%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmorkoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,323 · Blue 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

Aim74
Positioning67
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateWLLTWWTWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −4.9pp headshot accuracy · +39ms 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

  • 221 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 10

  • 532 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 20

  • 983 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim7.4
Utility4.1
Positioning6.7
Opening Duels5.4
Clutch4.8

Limited utility dependence

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

donk

Plays most like donk 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 72% on T to 52% on CT — first contacts on the defending side are being lost.

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
Positioning6.7
Utility4.1
Mechanics6.5
Opening Duels7.8
Win Impact8.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time530ms−72ms
first ⅓ avg 602ms → last ⅓ avg 530ms
Headshot accuracy18.7%−0.6%
first ⅓ avg 19.3% → last ⅓ avg 18.7%

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

0.20Best match rating · 13–0 · anubis, 19 Sept
50%Best headshot accuracy · 13–0 · nuke, 24 Jul
359msFastest reaction time · 8–13 · ancient, 2 Sept
13–0Biggest win · anubis, 19 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B28131546%-0.00
ancientC1971237%-0.01
nukeA169756%0.01
anubisA106460%0.01
infernoS107370%0.03
mirageB105550%0.01
cache42250%-0.04
train3030%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,657Lifetime kills
0.90K/D
4,335Matches
45.3%Match win rate · Top 50% of Level 6 players
39.7%Headshot %
13.7%Shot accuracy · Top 50% of Level 6 players
8,838MVPs
1,997Hours (in match)
4,000Bombs planted
1,102Bombs defused

Most-used weapons

AK-4720,276
AWP10,637
SG 5532,328
P901,859
FAMAS1,707
P2501,656

Lifetime map wins

6,971dust2
5,682nuke
4,290inferno
3,402train
960vertigo
699cbble
55aztec
50assault

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

Faceit stats

Combat

1,448Matches
50%Win rate
0.91Avg K/D
74.6ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust211349%1.0115.4
Ancient10648%0.9715.5
Nuke9760%1.0215.4
Mirage9246%0.8913.3
Anubis3751%0.8714.6
Inferno3647%0.8413.6
Cache1155%0.8112.3
Vertigo743%0.8113.7

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.

19.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.1%Spray accuracy
79.3%Counter-strafing
10.4°Preaim
531msReaction time
71.6%T opening success
52.1%CT opening success
0.63Enemies flashed / flash
6.1%Flash assists
8.26HE damage / grenade
2.74Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7437 — below the 4 mark we flag

    Grenade Lineups
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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–50.0534%20 Sept
nuke10–13-0.0217%20 Sept
ancient5–13-0.0711%20 Sept
nuke12–120.1011%19 Sept
anubis13–00.2010%19 Sept
cache13–10-0.0221%19 Sept
dust212–120.0115%18 Sept
inferno4–20.0717%18 Sept
anubis1–13-0.1420%18 Sept
dust213–30.0415%18 Sept
inferno10–13-0.0324%18 Sept
inferno15–150.0226%17 Sept
ancient9–13-0.0324%17 Sept
inferno13–5-0.0318%17 Sept
nuke16–140.0518%17 Sept
ancient13–110.0318%17 Sept
inferno13–60.0528%17 Sept
dust27–130.0318%17 Sept
dust26–130.0028%17 Sept
dust29–13-0.0117%17 Sept
dust213–30.048%16 Sept
ancient13–50.0125%16 Sept
inferno13–50.0224%16 Sept
dust213–10-0.0613%16 Sept
ancient13–90.0216%16 Sept
dust210–13-0.0120%16 Sept
mirage3–5-0.040%16 Sept
inferno13–30.1226%16 Sept
mirage13–100.1024%16 Sept
ancient7–13-0.0327%15 Sept
nuke13–90.1014%15 Sept
ancient8–13-0.0217%15 Sept
nuke11–130.0614%15 Sept
ancient4–13-0.0412%15 Sept
nuke16–13-0.0313%15 Sept
dust213–40.0014%15 Sept
mirage15–150.1023%14 Sept
nuke13–11-0.0227%12 Sept
dust23–13-0.0417%12 Sept
mirage13–7-0.0127%11 Sept
dust211–13-0.0226%11 Sept
cache3–12-0.0525%11 Sept
nuke10–13-0.0234%11 Sept
anubis13–11-0.0616%11 Sept
cache13–9-0.0423%10 Sept
dust213–40.005%10 Sept
inferno16–13-0.0512%10 Sept
ancient8–13-0.0618%2 Sept
nuke13–10-0.077%31 Aug
dust213–9-0.0118%31 Aug
dust213–100.0819%30 Aug
nuke13–40.0512%30 Aug
nuke13–40.0415%23 Aug
dust215–15-0.0214%19 Aug
ancient13–110.0423%19 Aug
dust213–50.0320%19 Aug
ancient13–70.0324%18 Aug
nuke13–3-0.0214%15 Aug
dust28–13-0.0735%15 Aug
mirage13–10-0.0216%14 Aug
train11–13-0.0434%13 Aug
dust25–13-0.1316%13 Aug
train4–13-0.1219%12 Aug
nuke7–13-0.0218%11 Aug
ancient10–13-0.0721%11 Aug
dust27–13-0.0119%10 Aug
anubis13–60.0312%1 Aug
anubis13–90.0022%29 Jul
ancient15–150.0315%29 Jul
anubis13–30.1727%26 Jul
mirage13–80.1122%26 Jul
dust213–8-0.0316%26 Jul
cache2–13-0.0422%26 Jul
mirage5–13-0.0829%26 Jul
anubis11–13-0.0223%25 Jul
dust213–5-0.0015%25 Jul
nuke5–130.0328%24 Jul
ancient10–13-0.0323%24 Jul
dust213–30.0815%24 Jul
ancient10–13-0.0411%24 Jul
mirage13–5-0.0117%24 Jul
nuke13–00.0150%24 Jul
ancient4–13-0.0419%23 Jul
inferno13–00.0814%23 Jul
ancient13–70.0317%23 Jul
mirage11–130.0113%23 Jul
dust27–13-0.0513%23 Jul
mirage9–13-0.0513%22 Jul
inferno10–130.0010%22 Jul
dust213–80.0926%22 Jul
ancient8–13-0.0623%21 Jul
nuke6–13-0.0814%21 Jul
dust24–13-0.0135%20 Jul
anubis7–13-0.0416%18 Jul
anubis5–13-0.0420%17 Jul
dust22–13-0.0412%16 Jul
dust213–9-0.0317%14 Jul
ancient16–140.1222%14 Jul
train1–8-0.080%9 Jul
dust24–130.0220%8 Jul

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 →