MK

MK — CS2 Stats

CH76561198053021303[U:1:92755575]Steam profile ↗✓ No bans

1,130Tracked matches61%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,879Top 50% of 188,431 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#80367 of 234241 tracked
FaceitLevel 9 · 1,828 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,130 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. 38 days played since 8 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: 19,879 +3,250 21 Apr18 Sept · 11 days played
16,62222,164peak 22,16421 Apr18 Sept
22,164Peak Premier in tracked matches
1,828Highest Faceit ELO seen on CSDB
38Days played since 2025-03-08

Faceit ELO

  • At peak — 1,828
  • Next: Level 10 at 2,001 173 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier CS Rating

  • 2,285 below peak (22,164)
  • Next: Pink band at 20,000 121 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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.

Share this profile

CSDB.GGMKFACEITLevel 9 · 1,828 ELOSTANDINGTop 20.7% of rankedPREMIER19,879 · Purple bandPEAK ELO1,828csdb.gg/stats

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Performance scores

Aim72
Positioning56
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY57412Last 10057%Win rateWLLWWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.6pp headshot accuracy · −33ms 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 566ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 571ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

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 (+1.5 against its own average).

Aim7.2
Utility4.1
Positioning5.6
Opening Duels3.6
Clutch3.2

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

iM

Plays most like iM 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

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.

Reaction time. 598ms 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

Aim7.2
Positioning5.6
Utility4.1
Mechanics7.3
Opening Duels3.2
Win Impact8.6

Composite 6.2/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time593ms+7ms
first ⅓ avg 586ms → last ⅓ avg 593ms
Headshot accuracy15.0%+3.3%
first ⅓ avg 11.8% → last ⅓ avg 15.0%

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

0.16Best match rating · 13–2 · cache, 12 May
31%Best headshot accuracy · 12–12 · cache, 11 May
391msFastest reaction time · 7–13 · inferno, 19 Mar
13–1Biggest win · cache, 10 May

Across the last 100 tracked matches.

Highlights

7Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 86% over 7mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
cacheS2517868%0.03
mirageD1961332%0.00
infernoA1811761%-0.02
dust2C114736%0.01
anubisS96367%0.03
overpassS76186%-0.00
ancientS64267%0.00
nuke43175%0.02
vertigo1010%-0.17

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,504Matches
50%Win rate
1.00Avg K/D
68.5ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
12%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4050%0.9614.6
Anubis3456%0.8314.0
Ancient2924%0.8212.8
Overpass1963%1.0713.7
Mirage1233%1.1215.7
Dust2757%0.7311.6
Nuke633%0.7911.8
Vertigo580%1.4214.6

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.

14.8%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.7%Spray accuracy
82.6%Counter-strafing
9.5°Preaim
598msReaction time
38.3%T opening success
47.1%CT opening success
0.62Enemies flashed / flash
11.3%Flash assists
8.57HE damage / grenade
2.61Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7936% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 2.61 — below the 4 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.2638% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0011%8 Aug
cache7–13-0.076%9 Jun
cache7–130.0111%9 Jun
cache13–80.0012%29 May
cache13–5-0.029%20 May
cache9–130.0413%20 May
inferno7–13-0.019%16 May
dust210–130.0319%16 May
anubis13–110.0515%16 May
cache13–50.0315%16 May
mirage11–130.0211%16 May
cache13–60.0013%16 May
mirage13–100.019%14 May
overpass11–13-0.0218%14 May
inferno16–14-0.0418%14 May
cache13–80.0413%12 May
cache13–90.084%12 May
cache13–20.1621%12 May
cache7–13-0.0117%11 May
cache7–13-0.0013%11 May
cache13–50.0728%11 May
cache12–120.0331%11 May
ancient8–130.0315%10 May
cache13–10.1017%10 May
cache13–60.1117%9 May
cache13–2-0.0319%9 May
cache13–110.0514%3 May
cache10–130.0411%3 May
cache13–5-0.0126%2 May
cache12–120.0812%2 May
cache13–10-0.019%1 May
cache13–4-0.0315%1 May
cache13–80.0325%1 May
ancient13–3-0.0613%22 Apr
dust210–13-0.0616%22 Apr
inferno9–13-0.016%22 Apr
anubis9–130.0117%19 Mar
inferno7–13-0.0315%19 Mar
dust213–10-0.0416%16 Mar
inferno16–140.0013%16 Mar
mirage6–13-0.0416%9 Mar
anubis13–110.0214%9 Mar
mirage13–160.015%9 Mar
mirage6–13-0.049%8 Mar
inferno13–30.0310%8 Mar
inferno13–4-0.0017%8 Mar
anubis13–70.0318%8 Mar
overpass13–8-0.0111%8 Mar
mirage12–16-0.0210%8 Mar
mirage9–130.0117%8 Mar
ancient13–10-0.0212%8 Mar
inferno14–16-0.0711%8 Mar
mirage11–13-0.0516%7 Mar
inferno13–90.016%7 Mar
anubis11–13-0.015%7 Mar
anubis13–80.106%7 Mar
inferno13–5-0.0213%7 Mar
mirage12–16-0.059%6 Mar
inferno8–13-0.024%27 Feb
mirage6–13-0.0317%27 Feb
dust213–5-0.024%27 Feb
dust213–90.0712%27 Feb
anubis13–100.023%26 Feb
mirage13–40.0218%26 Feb
anubis9–130.0314%26 Feb
mirage13–9-0.048%26 Feb
dust210–130.0619%26 Feb
mirage9–130.0126%16 Feb
inferno3–13-0.0312%16 Feb
overpass13–10-0.0111%9 Feb
nuke13–20.039%7 Feb
mirage13–40.124%7 Feb
dust210–130.0518%7 Feb
inferno13–7-0.0012%16 Jan
overpass13–5-0.055%19 Oct
overpass13–60.036%18 Oct
mirage9–13-0.025%18 Oct
dust213–11-0.027%18 Oct
inferno13–8-0.038%18 Oct
overpass13–50.056%18 Oct
inferno16–120.024%18 Oct
nuke6–13-0.0221%18 Oct
dust211–130.0211%18 Oct
mirage13–30.1017%18 Oct
overpass13–6-0.0312%3 Aug
ancient13–6-0.0419%11 May
nuke13–80.0011%10 May
anubis13–100.0113%10 May
inferno13–11-0.0411%21 Apr
ancient13–110.1112%21 Apr
ancient4–130.0015%20 Apr
nuke6–30.0515%20 Apr
dust28–13-0.0114%20 Apr
dust28–13-0.0323%19 Apr
mirage14–16-0.039%19 Apr
inferno16–140.018%18 Apr
mirage4–12-0.0411%18 Apr
mirage13–90.0612%15 Apr
inferno7–13-0.0510%9 Mar
vertigo6–9-0.1710%8 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 →