mrkmkz

mrkmkz — CS2 Stats

DE76561197994204729[U:1:33939001]Steam profile ↗✓ No bans

511Tracked matches37%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating15,585Purple band · top ~26.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (5 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: 15,585 -4,470 25 Jul – 26 Oct · 44 days played
15,18620,055peak 20,05525 Jul26 Oct
20,537Peak Premier in tracked matches
48Days played since 2026-07-25

Premier CS Rating

  • 4,470 below peak (20,055)
  • -1,194 over 30 days · declining
  • -3,849 over 90 days
  • Next: Pink band at 20,000 — 4,415 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue 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.

Share this profile

CSDB.GGmrkmkzPREMIER15,585 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning57
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateWLWLWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.2pp headshot accuracy · −5ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 9%
  • Avg reaction 480ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 529ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 531ms

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 (+1.2 against its own average).

Aim6.1
Utility5.1
Positioning5.7
Opening Duels2.6

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 84% 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

Aim6.1
Positioning5.7
Utility5.1
Mechanics5.3
Opening Duels3.8
Win Impact0.6

Composite 5.0/10 (Developing), 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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time520ms−59ms
first ⅓ avg 579ms → last ⅓ avg 520ms
Headshot accuracy10.9%−1.4%
first ⅓ avg 12.3% → last ⅓ avg 10.9%

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

0.11Best match rating · 13–9 · cache, 11 Sept →
23%Best headshot accuracy · 13–4 · inferno, 3 Sept →
328msFastest reaction time · 13–11 · ancient, 21 Aug →
13–0Biggest win · cache, 8 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 50% over 28dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB2814–1450%0.01
infernoC229–1341%0.02
anubisB126–650%0.00
dust2D113–827%-0.00
ancientC114–736%-0.03
mirageC94–544%0.00
nukeD72–529%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.7%Headshot accuracy
36.0%Accuracy (enemy spotted)
36.9%Spray accuracy
73.7%Counter-strafing
10.5°Preaim
523msReaction time
44.9%T opening success
45.9%CT opening success
0.42Enemies flashed / flash
3.7%Flash assists
7.13HE damage / grenade
9.97Flashes / 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 10.7411% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4185 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–60.015%26 Oct →
inferno10–13-0.058%24 Oct →
inferno13–40.077%24 Oct →
inferno9–130.0112%23 Oct →
nuke13–20.0711%23 Oct →
dust29–130.017%15 Oct →
anubis5–13-0.056%15 Oct →
mirage10–130.0111%13 Oct →
cache9–13-0.0110%13 Oct →
inferno13–80.0411%13 Oct →
mirage13–10-0.039%6 Oct →
mirage11–130.0413%6 Oct →
anubis9–130.0318%5 Oct →
cache13–60.0416%4 Oct →
cache13–90.049%3 Oct →
nuke7–13-0.0615%3 Oct →
dust211–13-0.0710%29 Sept →
anubis9–13-0.0211%27 Sept →
nuke14–160.006%27 Sept →
cache13–80.0413%23 Sept →
ancient3–13-0.064%23 Sept →
dust211–130.0414%22 Sept →
inferno13–110.0315%22 Sept →
anubis13–8-0.019%21 Sept →
inferno11–13-0.0214%17 Sept →
inferno13–30.1118%17 Sept →
ancient2–13-0.0510%17 Sept →
nuke8–130.1010%15 Sept →
ancient6–13-0.0611%15 Sept →
inferno5–13-0.006%13 Sept →
ancient13–90.026%11 Sept →
cache13–90.1113%11 Sept →
inferno4–13-0.0319%11 Sept →
inferno13–30.0915%11 Sept →
ancient11–130.0118%10 Sept →
cache6–13-0.0310%10 Sept →
dust213–30.0415%8 Sept →
anubis13–100.0514%8 Sept →
dust28–130.007%6 Sept →
inferno13–80.0412%5 Sept →
inferno13–40.0023%3 Sept →
inferno13–110.0413%3 Sept →
anubis13–70.058%2 Sept →
dust29–130.0219%1 Sept →
nuke4–13-0.028%31 Aug →
cache9–13-0.0412%30 Aug →
mirage11–130.0116%30 Aug →
cache13–100.0217%29 Aug →
cache15–150.058%29 Aug →
dust215–150.0420%27 Aug →
inferno6–130.0312%27 Aug →
mirage8–13-0.0810%26 Aug →
cache13–80.0918%26 Aug →
cache5–130.0416%25 Aug →
anubis13–60.0615%23 Aug →
inferno15–150.0713%23 Aug →
ancient13–90.014%22 Aug →
inferno11–13-0.052%21 Aug →
ancient13–11-0.0311%21 Aug →
mirage13–4-0.026%21 Aug →
dust213–11-0.078%17 Aug →
ancient5–13-0.0818%17 Aug →
mirage7–130.017%17 Aug →
cache16–130.0114%17 Aug →
anubis9–13-0.0115%16 Aug →
cache6–13-0.0710%16 Aug →
anubis13–160.0014%15 Aug →
cache13–70.0314%14 Aug →
mirage12–40.039%10 Aug →
cache13–90.059%10 Aug →
cache6–13-0.019%10 Aug →
nuke1–130.0221%9 Aug →
cache13–80.0920%8 Aug →
cache13–0-0.018%8 Aug →
cache9–130.0811%8 Aug →
cache12–12-0.0515%7 Aug →
cache6–13-0.0214%7 Aug →
inferno1–13-0.0223%6 Aug →
mirage13–60.0717%6 Aug →
inferno7–130.0213%5 Aug →
cache13–11-0.0111%5 Aug →
ancient9–13-0.0511%5 Aug →
cache7–13-0.119%5 Aug →
inferno9–13-0.0210%28 Jul →
anubis16–14-0.0213%28 Jul →
inferno5–130.0221%28 Jul →
cache13–11-0.0215%28 Jul →
dust28–130.0120%27 Jul →
ancient13–5-0.067%27 Jul →
inferno7–13-0.027%26 Jul →
cache15–15-0.049%26 Jul →
dust213–80.0110%26 Jul →
inferno13–70.0319%26 Jul →
cache8–13-0.0215%26 Jul →
cache10–13-0.005%26 Jul →
ancient1–13-0.029%25 Jul →
nuke13–40.0410%25 Jul →
anubis11–13-0.055%25 Jul →
dust215–15-0.086%25 Jul →
cache8–20.0310%25 Jul →

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 →

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