m0rrten

m0rrten — CS2 Stats

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

2,863Tracked matches47%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
CSDB Leaderboard#12319 of 221308 tracked
FaceitLevel 10 · 2,196 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify
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. 70 days played since 5 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,920 +288 1 Mar28 Jun · 6 days played
24,39826,057peak 26,0571 Mar28 Jun
26,057Peak Premier in tracked matches
2,196Highest Faceit ELO seen on CSDB
70Days played since 2025-11-05

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

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.GGm0rrtenFACEITLevel 10 · 2,196 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,196csdb.gg/stats

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Performance scores

Aim77
Positioning58
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY5644Last 10056%Win rateLLWLWLLLWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.0pp headshot accuracy · −10ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 575ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • 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: Positional PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim7.7
Utility5.7
Positioning5.8
Opening Duels5.0
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

iM

Plays most like iM 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 588ms 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
Positioning5.8
Utility5.7
Mechanics6.1
Opening Duels3.8
Win Impact3.9

Composite 6.0/10 (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 time585ms+15ms
first ⅓ avg 570ms → last ⅓ avg 585ms
Headshot accuracy21.7%+3.0%
first ⅓ avg 18.7% → 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
L2Current streak
108In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 91% over 11mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
anubisS2218482%0.02
mirageD1961332%-0.00
ancientC1881044%-0.01
infernoS128467%0.02
dust2S1110191%0.03
overpassC94544%0.01
nukeD62433%0.03
train2020%-0.01
cache1010%-0.05

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

3,044Matches
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 resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient26152%1.1717.4
Mirage25352%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.

21.2%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.5%Spray accuracy
77.3%Counter-strafing
9.7°Preaim
588msReaction time
38.4%T opening success
51.7%CT opening success
0.57Enemies flashed / flash
5.4%Flash assists
7.52HE damage / grenade
11.91Flashes / 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 38.3766% — 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
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
mirage6–13-0.066%14 Nov
mirage23–25-0.0113%9 Nov
train11–13-0.024%5 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →