mdzN

mdzN — CS2 Stats

DK76561198044921780[U:1:84656052]Steam profile ↗✓ No bans

1,491Tracked matches45%Win rate2020Tracked since
2,556Hours in CS4Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating17,226Purple band · top ~19.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (11 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: 17,226 -2,938 29 Aug – 25 Oct · 35 days played
17,22620,164peak 20,16429 Aug25 Oct
20,164Peak Premier in tracked matches
1,432Highest Faceit ELO seen on CSDB
35Days played since 2026-05-11

Premier CS Rating

  • 2,938 below peak (20,164)
  • -1,664 over 30 days · declining
  • Next: Pink band at 20,000 — 2,774 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate48.3%44.4%46.9%above
Shot accuracy13.2%11.9%13.0%meets
Kill/death ratio0.971.031.080.11 short
Match win rate45.6%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGmdzNPREMIER17,226 · Purple bandPEAK ELO1,432csdb.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

Aim75
Positioning63
Utility68

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLWLWTLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −42ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 503ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 523ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 544ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim7.5
Utility6.8
Positioning6.3
Opening Duels3.1
Clutch7.4

Strong CT-side openerReliable in 1v1s

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

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

Aim7.5
Positioning6.3
Utility6.8
Mechanics6.5
Opening Duels5.0
Win Impact3.3

Composite 6.3/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time551ms+17ms
first ⅓ avg 534ms → last ⅓ avg 551ms
Headshot accuracy18.7%−0.2%
first ⅓ avg 19.0% → 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

0.12Best match rating · 13–6 · mirage, 19 Oct →
44%Best headshot accuracy · 4–13 · mirage, 6 Oct →
414msFastest reaction time · 15–15 · ancient, 23 Oct →
13–0Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 59% over 22anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.01
nukeA2213–959%0.00
ancientD124–833%-0.03
cacheD123–925%-0.04
dust2B115–645%-0.03
anubisD92–722%-0.01
mirageB84–450%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,628Lifetime kills
0.97K/D
3,131Matches
45.6%Match win rate · Top 50% of Purple band
48.3%Headshot % · Top 50% of Purple band
13.2%Shot accuracy · Top 50% of Purple band
6,922MVPs
1,564Hours (in match)
3,715Bombs planted
875Bombs defused

Most-used weapons

AK-4710,399
AWP6,971
SG 5535,872
AUG3,747
MAC-103,071
FAMAS1,446

Lifetime map wins

9,102inferno
8,777nuke
2,046vertigo
1,563dust2
1,301train
511cbble
17safehouse
12office

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

Faceit stats

Combat

44Matches
43%Win rate
0.82Avg K/D
58.9ADR
50%Headshot %

Clutches & streaks

57%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno367%0.8113.0
Dust220%0.548.5
Cache2100%0.6415.0
Ancient20%0.7813.5
Nuke1100%1.2117.0
Mirage10%0.336.0
Anubis10%0.628.0

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.

19.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
34.9%Spray accuracy
79.3%Counter-strafing
9.6°Preaim
556msReaction time
44.6%T opening success
55.1%CT opening success
0.60Enemies flashed / flash
6.4%Flash assists
13.09HE damage / grenade
9.93Flashes / 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.

22% 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
anubis6–130.0116%25 Oct →
nuke9–13-0.0318%25 Oct →
inferno13–30.0024%25 Oct →
anubis8–13-0.0231%23 Oct →
nuke13–70.0233%23 Oct →
ancient15–15-0.0212%23 Oct →
anubis5–13-0.0415%19 Oct →
nuke9–130.0422%19 Oct →
dust25–13-0.049%19 Oct →
cache1–13-0.0123%19 Oct →
mirage13–60.1225%19 Oct →
nuke13–90.0227%18 Oct →
cache5–13-0.016%18 Oct →
nuke14–16-0.0612%17 Oct →
dust213–10-0.0413%17 Oct →
anubis9–13-0.0320%16 Oct →
inferno13–100.0721%16 Oct →
nuke13–8-0.049%15 Oct →
inferno11–13-0.0317%15 Oct →
mirage8–13-0.0324%15 Oct →
nuke9–13-0.0110%15 Oct →
cache22–18-0.0329%13 Oct →
ancient13–16-0.0215%13 Oct →
inferno10–13-0.0426%13 Oct →
dust213–70.0824%12 Oct →
ancient13–110.0322%12 Oct →
inferno9–130.0217%11 Oct →
nuke13–110.0621%11 Oct →
nuke13–0-0.0221%11 Oct →
inferno16–14-0.0317%10 Oct →
inferno13–90.0014%10 Oct →
mirage13–10.0611%10 Oct →
inferno13–11-0.0315%9 Oct →
cache7–13-0.0310%9 Oct →
anubis8–13-0.0120%8 Oct →
cache11–13-0.0022%8 Oct →
nuke7–13-0.0322%7 Oct →
cache8–13-0.0312%7 Oct →
dust25–13-0.0915%6 Oct →
mirage4–13-0.0944%6 Oct →
dust25–13-0.0927%6 Oct →
cache8–13-0.0524%5 Oct →
nuke13–20.0527%5 Oct →
nuke13–80.0217%3 Oct →
anubis3–13-0.0026%3 Oct →
ancient8–13-0.0111%3 Oct →
dust23–13-0.1124%3 Oct →
cache13–7-0.0616%3 Oct →
inferno13–5-0.0112%3 Oct →
cache13–11-0.0921%1 Oct →
nuke11–00.0828%1 Oct →
inferno9–13-0.0222%1 Oct →
dust213–7-0.0020%29 Sept →
mirage13–3-0.0519%29 Sept →
cache5–13-0.1015%29 Sept →
nuke13–70.0018%27 Sept →
mirage3–13-0.0114%27 Sept →
dust26–13-0.079%27 Sept →
nuke13–5-0.0017%25 Sept →
dust213–160.0039%25 Sept →
mirage13–9-0.0410%25 Sept →
ancient15–15-0.0213%24 Sept →
dust213–20.0728%24 Sept →
ancient13–10-0.059%24 Sept →
dust213–10-0.0332%23 Sept →
cache11–13-0.0410%23 Sept →
inferno13–30.0117%23 Sept →
inferno13–11-0.0421%22 Sept →
inferno7–130.0312%22 Sept →
ancient13–16-0.0212%22 Sept →
inferno8–13-0.0215%21 Sept →
inferno13–80.0124%21 Sept →
anubis13–100.0220%20 Sept →
nuke4–13-0.0421%20 Sept →
inferno15–15-0.0416%20 Sept →
inferno5–13-0.1010%20 Sept →
nuke2–13-0.1014%20 Sept →
nuke13–11-0.0026%20 Sept →
ancient16–13-0.0212%15 Sept →
inferno13–30.0318%15 Sept →
anubis6–13-0.0523%15 Sept →
mirage7–13-0.0425%15 Sept →
inferno16–120.0117%15 Sept →
inferno11–13-0.0632%10 Sept →
nuke13–90.0416%9 Sept →
inferno8–130.0525%9 Sept →
inferno13–50.0435%8 Sept →
nuke7–13-0.0114%8 Sept →
inferno5–13-0.0122%6 Sept →
anubis13–10-0.0123%6 Sept →
ancient7–13-0.0715%5 Sept →
nuke13–8-0.0318%5 Sept →
inferno9–130.027%5 Sept →
inferno10–130.0125%5 Sept →
ancient6–13-0.0814%2 Sept →
ancient9–13-0.0417%2 Sept →
ancient13–40.0216%2 Sept →
nuke8–130.0521%2 Sept →
inferno10–13-0.0919%31 Aug →
cache10–13-0.0223%30 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.