MissMøffe

MissMøffe — CS2 Stats

DJ76561198436299759[U:1:476034031]Steam profile ↗✓ No bans

1,164Tracked matches37%Win rate2020Tracked since
2,379Hours in CS6Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.4%41.8%42.7%1.3% short
Shot accuracy18.7%12.2%11.2%above
Kill/death ratio0.890.980.990.10 short
Match win rate36.9%43.3%43.9%7.0% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMissMøffeFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning32
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY35–57–8Last 10035%Win rateLLLWTWLWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +8.6pp headshot accuracy · −67ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 26%
  • Avg reaction 577ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 611ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 644ms

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 (+1.7 against its own average).

Aim6.6
Utility0.9
Positioning3.2
Opening Duels0.0
Clutch2.0

Limited 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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 688ms 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

Aim6.6
Positioning3.2
Utility0.9
Mechanics7.1
Opening Duels0.0
Win Impact0.7

Composite 3.9/10 (Learning), 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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time691ms−6ms
first ⅓ avg 697ms → last ⅓ avg 691ms
Headshot accuracy21.5%+3.8%
first ⅓ avg 17.6% → last ⅓ avg 21.5%

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

0.05Best match rating · 13–7 · cache, 5 Jun →
38%Best headshot accuracy · 13–7 · dust2, 15 Jun →
508msFastest reaction time · 7–13 · cache, 11 Sept →
13–2Biggest win · dust2, 22 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 47% over 15mirageWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C3213–1941%-0.05
mirageD193–1616%-0.06
cacheB157–847%-0.03
infernoD134–931%-0.03
vertigoC125–742%-0.05
nukeD51–420%-0.03
office—20–20%-0.06
boulder—11–0100%0.02
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (16% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,748Lifetime kills
0.89K/D
3,765Matches
36.9%Match win rate
41.4%Headshot %
18.7%Shot accuracy · Top 10% of Level 3 players
5,801MVPs
1,255Hours (in match)
3,157Bombs planted
633Bombs defused

Most-used weapons

AK-4713,097
AWP5,221
AUG2,591
SG 5532,220
FAMAS2,051

Lifetime map wins

6,687inferno
4,644dust2
1,903nuke
891vertigo
620train
439office
167lake
102safehouse

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

Faceit stats

Combat

40Matches
48%Win rate
0.82Avg K/D
66.2ADR
39%Headshot %

Clutches & streaks

30%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1164%1.0015.4
Inferno812%0.7313.3
Nuke560%0.9312.0
Ancient333%0.7111.0
Vertigo250%1.3017.0
Cache1100%0.6911.0
Anubis10%0.7911.0

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.

21.0%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.1%Spray accuracy
82.0%Counter-strafing
7.9°Preaim
688msReaction time
18.5%T opening success
22.3%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
5.09HE damage / grenade
0.20Flashes / 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. 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 0.1349 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 18.5033% — 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.

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.1112%14 Oct →
vertigo7–13-0.0730%4 Oct →
inferno6–13-0.0931%4 Oct →
vertigo13–8-0.0728%26 Sept →
inferno12–12-0.0332%26 Sept →
cache13–60.0235%22 Sept →
cache7–13-0.0619%11 Sept →
inferno13–8-0.0030%30 Aug →
mirage0–11-0.0618%29 Aug →
cache13–10-0.0613%29 Aug →
dust210–13-0.0721%29 Aug →
office12–12-0.0416%25 Jul →
dust213–6-0.0323%25 Jul →
office10–13-0.0712%24 Jul →
nuke2–13-0.046%24 Jul →
boulder13–40.0217%20 Jul →
inferno6–13-0.0215%7 Jul →
nuke8–13-0.0221%7 Jul →
dust29–13-0.104%1 Jul →
dust213–7-0.0128%22 Jun →
dust213–2-0.0915%22 Jun →
nuke8–13-0.098%21 Jun →
dust28–13-0.0424%21 Jun →
dust25–13-0.0214%18 Jun →
dust213–8-0.1025%17 Jun →
mirage9–13-0.1131%17 Jun →
cache12–12-0.0318%17 Jun →
dust28–13-0.0913%17 Jun →
dust213–7-0.0538%15 Jun →
dust210–13-0.0729%10 Jun →
inferno7–130.0428%10 Jun →
vertigo11–13-0.0632%7 Jun →
dust27–13-0.0425%7 Jun →
dust28–13-0.0422%7 Jun →
dust211–13-0.0520%7 Jun →
cache13–70.0536%5 Jun →
mirage2–13-0.0710%5 Jun →
dust213–4-0.0724%5 Jun →
vertigo6–13-0.0810%5 Jun →
cache11–130.0018%4 Jun →
dust24–13-0.0738%4 Jun →
cache9–13-0.0728%1 Jun →
dust211–13-0.1032%30 May →
vertigo7–130.0017%29 May →
mirage7–13-0.076%29 May →
mirage5–2-0.0825%29 May →
cache13–4-0.0325%29 May →
dust29–13-0.0610%29 May →
dust24–13-0.0735%28 May →
vertigo13–90.0213%23 May →
cache13–7-0.0421%23 May →
cache13–9-0.0629%23 May →
dust213–11-0.0123%19 May →
dust213–8-0.0113%19 May →
dust213–20.0015%18 May →
mirage7–13-0.0522%15 May →
dust26–13-0.0717%15 May →
cache13–9-0.0220%15 May →
nuke9–13-0.0021%8 May →
cache10–130.0117%8 May →
inferno2–13-0.057%8 May →
cache4–13-0.047%30 Apr →
cache12–12-0.0319%30 Apr →
dust213–50.0429%28 Apr →
vertigo13–9-0.0210%26 Apr →
dust213–10-0.0412%26 Apr →
inferno12–12-0.0725%26 Apr →
dust210–13-0.0429%26 Apr →
mirage9–13-0.0519%26 Apr →
dust213–30.0321%26 Apr →
mirage10–13-0.106%24 Apr →
mirage13–11-0.0712%24 Apr →
inferno8–13-0.0418%24 Apr →
mirage11–13-0.108%22 Apr →
dust211–13-0.1214%17 Apr →
dust211–13-0.0924%14 Apr →
dust213–9-0.0427%12 Apr →
mirage6–13-0.130%12 Apr →
mirage5–13-0.1325%12 Apr →
mirage9–13-0.0427%7 Apr →
inferno11–13-0.0015%4 Apr →
mirage7–130.0218%4 Apr →
nuke13–5-0.0116%4 Apr →
overpass13–9-0.0520%4 Apr →
mirage9–13-0.0215%4 Apr →
inferno16–12-0.0022%3 Apr →
inferno13–5-0.039%3 Apr →
mirage2–13-0.0420%3 Apr →
dust27–13-0.0425%3 Apr →
mirage13–3-0.0521%3 Apr →
dust212–120.0117%1 Apr →
inferno13–11-0.0818%1 Apr →
mirage12–12-0.0325%1 Apr →
vertigo6–13-0.1232%1 Apr →
inferno3–13-0.0811%1 Apr →
vertigo4–13-0.0412%31 Mar →
mirage12–12-0.0222%31 Mar →
vertigo13–7-0.075%31 Mar →
vertigo6–13-0.0517%31 Mar →
vertigo13–10-0.0314%31 Mar →

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.