mörme analsen

mörme analsen — CS2 Stats

JM76561199354104540[U:1:1393838812]Steam profile ↗✓ No bans

389Tracked matches55%Win rate2024Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 8 · 1,693 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 75 days played since 21 Oct 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,151 -2,428 1 Jan15 May · 4 days played
12,15114,999peak 14,9991 Jan15 May
14,999Peak Premier in tracked matches
1,693Highest Faceit ELO seen on CSDB
75Days played since 2024-10-21

Faceit ELO

  • At peak — 1,693
  • Next: Level 9 at 1,751 58 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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.

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CSDB.GGmörme analsenFACEITLevel 8 · 1,693 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,693csdb.gg/stats

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Performance scores

Aim85
Positioning55
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateTLLWWLWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +2.9pp headshot accuracy · −41ms 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

  • 221 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 522ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 516ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

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).

Aim8.5
Utility4.5
Positioning5.5
Opening Duels2.4
Clutch3.8

Sharp aimerLimited 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

sh1ro

Plays most like sh1ro 95% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 558ms 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

Aim8.5
Positioning5.5
Utility4.5
Mechanics7.8
Opening Duels2.3
Win Impact6.7

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time579ms−43ms
first ⅓ avg 622ms → last ⅓ avg 579ms
Headshot accuracy22.2%−3.5%
first ⅓ avg 25.7% → last ⅓ avg 22.2%

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

0.21Best match rating · 13–0 · anubis, 10 Jun
67%Best headshot accuracy · 6–0 · nuke, 12 Aug
328msFastest reaction time · 4–13 · anubis, 29 Nov
13–0Biggest win · dust2, 12 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
48In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB31161552%0.03
nukeB168850%0.00
dust2D123925%0.01
ancientC125742%-0.00
infernoB63350%0.04
anubisB63350%0.04
trainS64267%0.02
overpass440100%0.08
italy31233%-0.02
cache21150%0.09
grail1010%0.01
vertigo110100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

522Matches
53%Win rate
1.24Avg K/D
79.8ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15650%1.2216.5
Ancient7755%1.1815.8
Dust26955%1.2417.1
Anubis6164%1.3816.8
Inferno5949%1.3316.9
Nuke5848%1.2316.3
Vertigo2348%1.0615.2
Train771%1.2418.9

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.

19.7%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.8%Spray accuracy
85.3%Counter-strafing
8.2°Preaim
558msReaction time
34.0%T opening success
44.0%CT opening success
0.58Enemies flashed / flash
2.8%Flash assists
14.00HE damage / grenade
4.24Flashes / 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 34.0484% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–120.1041%11 Sept
mirage15–19-0.0016%9 Sept
dust213–160.0315%8 Sept
inferno13–10.1127%7 Sept
mirage13–90.0921%6 Sept
mirage8–130.0326%5 Sept
ancient13–100.0317%5 Sept
anubis7–130.0120%5 Sept
dust211–13-0.069%5 Sept
mirage19–160.099%3 Sept
dust29–130.0226%30 Aug
ancient6–13-0.0717%25 Aug
nuke13–7-0.0013%23 Aug
ancient10–130.0218%21 Aug
nuke7–13-0.0424%19 Aug
mirage13–90.0518%19 Aug
mirage7–13-0.027%16 Aug
ancient9–13-0.0216%16 Aug
mirage13–90.0815%15 Aug
mirage25–220.0816%15 Aug
mirage13–90.0326%12 Aug
nuke6–0-0.0167%12 Aug
dust213–00.1732%12 Aug
ancient13–90.0415%28 Jul
nuke13–7-0.0337%28 Jul
dust214–160.0447%15 May
mirage13–00.1321%15 May
ancient5–13-0.0411%6 May
dust27–1-0.020%6 May
nuke13–10.109%6 May
mirage13–100.0817%6 May
cache13–00.1735%30 Apr
cache12–120.0247%29 Apr
mirage15–150.0418%18 Apr
nuke15–15-0.0513%17 Apr
nuke13–20.0535%21 Feb
mirage16–140.0618%19 Feb
ancient13–10.0522%17 Jan
mirage13–8-0.0328%17 Jan
train13–11-0.0525%1 Jan
inferno8–130.0329%1 Jan
nuke2–13-0.0522%20 Dec
nuke10–130.0019%5 Dec
dust213–70.0033%1 Dec
nuke9–13-0.0216%30 Nov
inferno13–60.0622%30 Nov
mirage13–90.0738%29 Nov
anubis4–13-0.0357%29 Nov
overpass13–10.0114%8 Nov
train13–100.0339%8 Nov
nuke8–13-0.0427%6 Nov
mirage9–13-0.0417%1 Nov
nuke13–80.0825%12 Oct
mirage13–10-0.006%8 Oct
nuke13–10-0.0315%26 Sept
inferno3–13-0.0024%25 Sept
overpass13–30.0717%25 Sept
overpass16–130.0822%31 Aug
grail8–130.0122%29 Aug
ancient14–16-0.0216%28 Aug
mirage2–13-0.0929%23 Aug
mirage11–13-0.0212%22 Aug
mirage11–130.0638%22 Aug
mirage6–130.0025%19 Aug
ancient13–4-0.0022%9 Aug
mirage13–110.0312%5 Aug
ancient13–90.0212%31 Jul
train12–120.0531%30 Jul
overpass13–30.1724%25 Jul
ancient8–13-0.0037%1 Jul
italy10–13-0.0930%30 Jun
anubis10–13-0.0217%29 Jun
nuke7–130.0639%25 Jun
dust22–13-0.0321%24 Jun
mirage10–130.0220%12 Jun
dust26–13-0.0428%11 Jun
nuke8–13-0.0436%11 Jun
anubis13–00.2127%10 Jun
nuke13–90.0520%3 Jun
train11–130.0841%3 Jun
vertigo13–90.0221%2 Jun
mirage16–130.0435%11 May
ancient8–13-0.0220%6 Apr
dust210–130.0619%13 Mar
inferno8–13-0.0315%10 Mar
mirage13–70.0516%4 Feb
mirage5–70.0138%2 Feb
mirage11–130.0115%1 Feb
dust22–7-0.0438%27 Jan
dust210–13-0.0119%26 Jan
mirage12–120.0221%26 Jan
train13–100.0019%26 Jan
mirage13–50.0416%18 Jan
mirage3–130.0054%7 Jan
train13–5-0.0119%3 Jan
anubis13–60.0032%27 Dec
italy13–60.0615%27 Dec
italy8–13-0.0511%24 Nov
anubis13–40.0430%30 Oct
inferno13–110.0624%21 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →