mörkö

mörkö — CS2 Stats

76561198853065349[U:1:892799621]Steam profile ↗✓ No bans

2,254Tracked matches60%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating19,895Top 50% of 204,316 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#84032 of 251424 tracked
FaceitLevel 7 · 1,535 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (10 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: 19,895 +4,115 9 May – 3 Oct · 6 days played
15,60219,999peak 19,9999 May3 Oct
19,999Peak Premier in tracked matches
1,535Highest Faceit ELO seen on CSDB
60Days played since 2026-05-09

Faceit ELO

  • At peak — 1,535
  • Next: Level 9 at 1,751 — 216 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 104 below peak (19,999)
  • Next: Pink band at 20,000 — 105 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.

Share this profile

CSDB.GGmörköFACEITLevel 7 · 1,535 ELOSTANDINGTop 42.3% of rankedPREMIER19,895 · Purple bandPEAK ELO1,535csdb.gg/stats

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Performance scores

Aim63
Positioning64
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLWWWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +5.9pp headshot accuracy · +56ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 616ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 532ms

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 (+1.8 against its own average).

Aim6.3
Utility3.1
Positioning6.4
Opening Duels5.4
Clutch3.4

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

m0NESY

Plays most like m0NESY 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Areas to improve

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

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning6.4
Utility3.1
Mechanics3.5
Opening Duels5.9
Win Impact8.3

Composite 5.6/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time538ms−49ms
first ⅓ avg 587ms → last ⅓ avg 538ms
Headshot accuracy16.6%+0.8%
first ⅓ avg 15.8% → last ⅓ avg 16.6%

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 · 9–4 · inferno, 28 Jun →
29%Best headshot accuracy · 4–13 · dust2, 30 Sept →
383msFastest reaction time · 7–13 · cache, 28 Sept →
13–2Biggest win · ancient, 24 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 70% over 10anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2717–1063%-0.00
ancientB2210–1245%0.00
nukeB157–847%-0.00
infernoS107–370%0.06
anubisD93–633%0.01
cacheA74–357%0.01
mirageS64–267%-0.01
vertigo—22–0100%0.03
overpass—22–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,747Matches
49%Win rate
1.10Avg K/D
83.3ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust236246%1.1016.4
Ancient27953%1.0617.1
Mirage24940%1.0615.5
Nuke21553%1.1017.1
Inferno15552%1.0916.1
Vertigo14254%1.1716.7
Anubis7642%1.0615.4
Overpass6048%1.1016.4

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.

16.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
38.3%Spray accuracy
65.6%Counter-strafing
10.2°Preaim
523msReaction time
52.0%T opening success
55.0%CT opening success
0.50Enemies flashed / flash
0.0%Flash assists
7.38HE damage / grenade
2.03Flashes / 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 2.0311 — below the 4 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0118%10 Oct →
anubis13–50.1324%3 Oct →
anubis13–60.0818%3 Oct →
nuke16–13-0.0417%30 Sept →
dust24–13-0.0529%30 Sept →
nuke5–90.0021%28 Sept →
cache7–13-0.0110%28 Sept →
ancient3–13-0.0424%28 Sept →
ancient6–13-0.0215%27 Sept →
dust213–30.0118%27 Sept →
ancient19–170.0615%27 Sept →
nuke13–60.0112%27 Sept →
vertigo13–4-0.0110%26 Sept →
ancient16–140.0518%26 Sept →
cache13–160.0120%26 Sept →
anubis13–30.1210%26 Sept →
ancient4–130.0110%20 Sept →
dust213–110.0410%20 Sept →
ancient14–160.0321%19 Sept →
nuke13–110.0012%15 Sept →
ancient13–8-0.016%11 Sept →
dust211–130.0023%11 Sept →
mirage4–13-0.0312%11 Sept →
ancient13–60.0213%5 Sept →
dust24–13-0.0113%3 Sept →
dust213–10-0.0213%1 Sept →
dust213–100.0023%26 Aug →
ancient13–8-0.0729%17 Aug →
dust213–40.0420%17 Aug →
nuke13–50.0316%16 Aug →
dust212–16-0.0115%15 Aug →
dust213–5-0.0213%15 Aug →
dust213–70.0421%14 Aug →
nuke13–30.0513%14 Aug →
mirage13–40.0814%6 Aug →
dust213–30.0617%4 Aug →
ancient9–130.0017%2 Aug →
anubis5–13-0.069%26 Jul →
anubis3–13-0.0212%20 Jul →
inferno13–11-0.0123%19 Jul →
anubis10–13-0.0416%18 Jul →
dust28–13-0.0223%18 Jul →
anubis9–13-0.085%18 Jul →
inferno13–8-0.0813%17 Jul →
dust213–100.0413%17 Jul →
nuke6–13-0.0326%17 Jul →
dust213–8-0.0224%17 Jul →
cache10–130.0419%13 Jul →
mirage8–13-0.0815%10 Jul →
dust211–13-0.0122%10 Jul →
nuke13–10-0.0315%10 Jul →
cache13–90.0519%9 Jul →
cache13–110.0116%9 Jul →
dust213–60.0010%9 Jul →
inferno9–50.0314%7 Jul →
overpass9–50.066%5 Jul →
dust25–13-0.0525%3 Jul →
nuke9–13-0.0314%2 Jul →
inferno13–90.0213%29 Jun →
inferno9–40.2429%28 Jun →
inferno9–70.079%28 Jun →
dust29–13-0.0317%28 Jun →
ancient13–110.0118%28 Jun →
nuke10–13-0.0022%27 Jun →
mirage13–6-0.0411%26 Jun →
ancient13–30.008%26 Jun →
ancient9–13-0.067%17 Jun →
ancient6–130.0013%17 Jun →
dust213–60.1018%17 Jun →
nuke9–130.0321%14 Jun →
nuke10–13-0.0224%13 Jun →
ancient13–80.0218%13 Jun →
dust213–10-0.0221%13 Jun →
ancient6–13-0.0013%12 Jun →
cache13–40.0319%11 Jun →
mirage13–7-0.0111%7 Jun →
dust213–10-0.0720%6 Jun →
inferno8–80.0319%4 Jun →
ancient10–13-0.0120%3 Jun →
nuke9–130.0212%2 Jun →
nuke5–9-0.108%30 May →
inferno9–40.2413%29 May →
anubis10–13-0.0416%29 May →
inferno8–80.1012%28 May →
ancient7–130.0114%28 May →
nuke16–120.0612%25 May →
ancient13–30.0514%24 May →
ancient13–2-0.0420%24 May →
ancient8–130.0313%22 May →
dust22–10-0.0716%22 May →
anubis10–13-0.0112%17 May →
vertigo9–20.0716%17 May →
inferno5–90.0116%17 May →
dust213–70.0323%16 May →
dust213–80.0117%16 May →
dust213–16-0.0415%15 May →
overpass13–8-0.0321%14 May →
mirage13–50.0211%12 May →
cache16–12-0.0510%11 May →
dust213–100.0015%9 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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