m0rrten

m0rrten — CS2 Stats

76561198173640057[U:1:213374329]Steam profile ↗✓ No bans

2,872Tracked matches47%Win rate2020Tracked since
13,980Hours in CS
CSDB Rating5.9 SolidSupport
FaceitLevel 9 · 2,196 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,196 → 2,196
+9Tracked matches · now 2,872
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 25,920 +288 1 Mar – 28 Jun · 6 days played
24,39826,057peak 26,0571 Mar28 Jun
Faceit ELO: 2,196 +0 17 Sept – 24 Sept · 2 observations
2,1962,196peak 2,19617 Sept24 Sept
26,057Peak Premier in tracked matches
2,196Highest Faceit ELO seen on CSDB
70Days played since 2025-12-18

Faceit ELO

  • At peak — 2,196
  • Next: 2,500 ELO at 2,500 — 304 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-17
  • Level 9 first seen 2026-09-17

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate56.2%48.2%50.9%above
Shot accuracy17.1%13.2%13.7%above
Kill/death ratio0.831.071.090.26 short
Match win rate42.2%46.9%48.4%6.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGm0rrtenFACEITLevel 9 · 2,196 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,196csdb.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

Aim77
Positioning55
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWWLLLWLWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −3.8pp headshot accuracy · +2ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim7.7
Utility5.8
Positioning5.5
Opening Duels4.0
Clutch3.2

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

ZywOo

Plays most like ZywOo 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim 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. 574ms 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

Aim7.7
Positioning5.5
Utility5.8
Mechanics6.2
Opening Duels3.0
Win Impact3.9

Composite 5.9/10 (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 time588ms+14ms
first ⅓ avg 574ms → last ⅓ avg 588ms
Headshot accuracy21.7%+2.4%
first ⅓ avg 19.3% → last ⅓ avg 21.7%

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

0.18Best match rating · 13–3 · ancient, 28 Feb →
39%Best headshot accuracy · 5–13 · mirage, 3 Aug →
430msFastest reaction time · 6–13 · inferno, 28 Jan →
13–1Biggest win · anubis, 1 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
11–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 92% over 12nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
anubisS2218–482%0.02
ancientB199–1047%-0.01
mirageC176–1135%0.00
dust2S1211–192%0.03
infernoS128–467%0.02
overpassC94–544%0.01
nukeD72–529%0.03
cache—10–10%-0.05
train—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

337,703Lifetime kills
0.83K/D
10,250Matches
42.2%Match win rate
56.2%Headshot % · Top 25% of Level 9 players
17.1%Shot accuracy · Top 25% of Level 9 players
32,525MVPs
13,980Hours (in match)
7,485Bombs planted
4,096Bombs defused

Most-used weapons

AK-47150,583
AWP40,182
Knife3,608
P2503,596
MP92,887

Lifetime map wins

23,182inferno
13,002dust2
7,289vertigo
7,105train
3,911nuke
797cbble
182lake
95office

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

Faceit stats

Combat

3,051Matches
51%Win rate
1.06Avg K/D
83.6ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient26352%1.1717.4
Mirage25851%1.1517.8
Anubis17056%1.1116.5
Inferno13645%1.1316.7
Dust210245%1.0616.3
Overpass6945%1.1117.4
Vertigo4457%1.1517.6
Nuke1926%0.9113.9

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.

20.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.1%Spray accuracy
77.9%Counter-strafing
9.8°Preaim
574msReaction time
36.9%T opening success
47.5%CT opening success
0.59Enemies flashed / flash
6.5%Flash assists
6.91HE damage / grenade
11.79Flashes / 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. 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 36.9046% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0026%26 Oct →
ancient13–60.0627%11 Oct →
nuke7–130.0327%5 Oct →
nuke12–16-0.0418%30 Aug →
nuke7–130.018%25 Aug →
nuke10–90.1528%16 Aug →
mirage11–130.0422%15 Aug →
anubis13–2-0.070%10 Aug →
ancient9–13-0.0321%5 Aug →
ancient10–130.0413%5 Aug →
mirage5–13-0.0539%3 Aug →
inferno13–8-0.0017%14 Jul →
dust213–50.0921%12 Jul →
mirage9–13-0.0217%12 Jul →
cache10–13-0.0513%8 Jul →
anubis11–13-0.0418%6 Jul →
anubis13–70.0127%5 Jul →
ancient7–13-0.0525%28 Jun →
overpass13–70.0528%26 Jun →
mirage13–70.0622%26 Jun →
anubis13–80.0527%21 Jun →
mirage13–60.0525%21 Jun →
dust213–100.0315%18 Jun →
mirage6–13-0.0517%16 Jun →
mirage11–130.0123%16 Jun →
mirage13–80.0114%15 Jun →
nuke9–13-0.0127%15 Jun →
mirage15–19-0.0019%14 Jun →
nuke13–40.0524%10 Jun →
ancient11–13-0.0917%10 Jun →
inferno13–110.0335%7 Jun →
dust29–130.0430%3 Jun →
dust213–80.1728%2 Jun →
mirage6–130.0220%2 Jun →
mirage5–13-0.0721%23 May →
anubis13–100.0237%23 May →
anubis14–160.0022%15 May →
ancient16–120.0523%14 May →
anubis13–90.0126%6 May →
overpass5–13-0.0311%5 May →
ancient1–13-0.0513%4 May →
overpass9–130.0223%3 May →
anubis9–13-0.0013%28 Apr →
anubis13–20.0620%27 Apr →
inferno13–90.0323%27 Apr →
anubis13–70.089%27 Apr →
anubis13–9-0.0118%27 Apr →
anubis13–40.0620%24 Apr →
mirage10–13-0.0319%22 Apr →
inferno19–170.0519%21 Apr →
ancient10–13-0.0428%21 Apr →
anubis4–130.0028%16 Apr →
ancient4–13-0.0615%14 Apr →
anubis13–100.0026%13 Apr →
anubis13–40.0224%11 Apr →
overpass13–110.0420%11 Apr →
overpass13–110.0213%8 Apr →
nuke10–130.0334%6 Apr →
inferno5–13-0.0532%22 Mar →
dust213–9-0.0422%2 Mar →
mirage16–14-0.0131%1 Mar →
dust213–110.0224%1 Mar →
anubis13–10.077%1 Mar →
dust213–80.0319%1 Mar →
ancient13–30.1822%28 Feb →
dust213–90.0212%27 Feb →
dust213–100.0119%27 Feb →
inferno2–9-0.0511%22 Feb →
dust213–3-0.0411%22 Feb →
inferno13–50.1121%21 Feb →
ancient1–13-0.0814%21 Feb →
dust216–140.0520%21 Feb →
mirage16–140.0818%18 Feb →
anubis13–90.0114%18 Feb →
ancient7–13-0.0814%13 Feb →
ancient13–100.0026%13 Feb →
ancient13–70.0817%12 Feb →
anubis13–100.0418%12 Feb →
anubis13–100.0221%7 Feb →
ancient13–110.0220%1 Feb →
anubis13–70.0722%1 Feb →
mirage6–13-0.0725%1 Feb →
ancient13–80.0926%1 Feb →
ancient13–6-0.0211%29 Jan →
inferno6–13-0.0216%28 Jan →
mirage9–130.0027%28 Jan →
anubis13–10.0722%20 Jan →
mirage13–50.0522%20 Jan →
inferno13–90.1029%19 Jan →
ancient8–13-0.0317%16 Jan →
anubis13–9-0.0212%13 Jan →
overpass5–13-0.0414%11 Jan →
inferno16–190.0019%8 Jan →
overpass9–130.0316%3 Jan →
inferno13–70.0329%3 Jan →
train11–130.0118%1 Jan →
inferno13–9-0.0224%30 Dec →
ancient13–10-0.0826%27 Dec →
overpass8–13-0.0116%22 Dec →
overpass13–50.0123%18 Dec →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.