Mölis — CS2 Stats

76561198382247592[U:1:421981864]

1,359Tracked matches50%Win rate2020Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 7 · 1,530 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMölisFACEITLevel 7 · 1,530 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning50
Utility19

0–100 skill scores via Leetify.

Recent form

COLD49483Last 10049%Win rateLLLLLWLLWW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression7.0
Utility1.9
Positioning5.0
Opening Duels3.4
Clutch3.4

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim6.4
Positioning5.0
Utility1.9
Mechanics9.4
Opening Duels3.4
Win Impact5.0

Composite 5.2/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time638ms−8ms
first ⅓ avg 646ms → last ⅓ avg 638ms
Headshot accuracy18.6%−1.4%
first ⅓ avg 19.9% → last ⅓ avg 18.6%

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.

Highlights

0.19Best rating — office 12–12
130Biggest win — overpass
7Longest win streak
L5Current streak
109In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 61% over 18mirageWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
nukeB24131154%-0.00
mirageC1981142%0.00
infernoA1811761%-0.00
ancientB136746%0.00
trainB84450%-0.00
vertigo42250%-0.04
overpass31233%-0.01
anubis21150%0.03
dust221150%-0.05
agency21150%0.09
office21150%0.10
golden1010%-0.08
basalt1010%-0.12
palais1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

926Matches
51%Win rate
0.97Avg K/D
72.7ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage16644%0.9413.9
Nuke12346%0.9614.3
Inferno8260%1.0415.2
Train6062%1.1615.8
Ancient5953%1.0815.3
Dust21942%0.9114.6
Anubis1753%1.0014.8
Overpass1338%1.0615.6

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.

18.1%Headshot accuracy
32.5%Accuracy (enemy spotted)
30.9%Spray accuracy
92.3%Counter-strafing
11.0°Preaim
625msReaction time
32.7%T opening success
54.5%CT opening success
0.50Enemies flashed / flash
5.3%Flash assists
7.83HE damage / grenade
6.30Flashes / 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 0.4974 — 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 32.6766% — 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.

42% 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
inferno2–9-0.0627%28 Jan
nuke4–9-0.1025%28 Jan
anubis3–80.0227%21 Jan
mirage8–130.1236%18 Nov
mirage6–13-0.068%18 Nov
inferno13–50.0931%14 Oct
golden8–13-0.0824%11 Oct
vertigo5–90.0025%11 Oct
nuke9–70.1010%11 Oct
nuke13–60.1115%9 Oct
inferno11–130.0218%14 Sept
ancient19–17-0.0417%12 Sept
inferno7–13-0.0318%30 Aug
inferno13–70.0815%30 Aug
inferno13–80.0022%30 Aug
inferno13–7-0.0122%29 Aug
inferno11–130.0114%25 Aug
mirage13–60.0624%24 Aug
inferno13–5-0.0310%27 Jul
nuke2–9-0.1417%16 Jul
overpass13–00.010%16 Jul
dust21–13-0.093%15 Jul
anubis12–20.0521%8 Jul
inferno16–13-0.0611%25 Jun
dust213–8-0.0118%21 Jun
nuke11–130.0230%17 Jun
agency13–90.1015%17 Jun
agency4–130.0817%17 Jun
train14–160.0321%12 Jun
ancient13–100.0121%5 Jun
ancient6–13-0.0913%4 Jun
mirage2–13-0.0429%28 May
train13–11-0.048%18 May
inferno16–19-0.0315%15 May
nuke7–13-0.0323%8 May
ancient9–130.0514%4 May
mirage10–130.0817%2 May
basalt7–13-0.1211%25 Apr
mirage13–30.1026%25 Apr
mirage2–130.0222%18 Apr
ancient13–70.0113%9 Apr
nuke2–12-0.1213%7 Apr
nuke10–70.0111%3 Apr
nuke10–70.0111%3 Apr
ancient13–30.0430%30 Mar
nuke5–6-0.0713%29 Mar
ancient7–13-0.0418%27 Mar
train13–9-0.0019%26 Mar
mirage10–13-0.0518%17 Mar
ancient1–9-0.090%16 Mar
ancient1–90.0321%16 Mar
palais8–80.0113%16 Mar
inferno4–9-0.0527%16 Mar
vertigo9–6-0.0324%16 Mar
mirage11–13-0.0044%15 Mar
mirage13–20.0313%15 Mar
vertigo7–9-0.0616%15 Mar
overpass8–8-0.0514%15 Mar
inferno9–7-0.0326%15 Mar
office12–120.1940%14 Mar
vertigo13–5-0.0725%14 Mar
mirage7–13-0.0219%13 Mar
mirage11–13-0.0521%12 Mar
nuke16–140.0037%12 Mar
nuke13–20.0446%11 Mar
ancient13–80.0120%11 Mar
mirage13–5-0.0223%11 Mar
nuke13–80.0329%11 Mar
inferno13–8-0.0224%11 Mar
inferno13–10-0.0217%9 Mar
train8–13-0.0110%6 Mar
office13–90.0032%5 Mar
overpass8–130.0219%4 Mar
mirage5–13-0.0123%3 Mar
train7–13-0.0825%3 Mar
mirage16–140.0322%3 Mar
nuke13–100.0223%3 Mar
ancient8–130.0931%3 Mar
nuke13–110.0530%1 Mar
nuke5–13-0.0018%1 Mar
mirage19–15-0.0717%27 Feb
inferno16–130.0815%24 Feb
nuke13–60.0321%16 Feb
inferno16–140.0515%16 Feb
mirage10–13-0.0723%14 Feb
train13–30.0713%14 Feb
train16–12-0.0113%11 Feb
nuke7–130.0121%10 Feb
nuke9–13-0.0616%9 Feb
inferno10–13-0.0213%9 Feb
mirage13–11-0.0114%7 Feb
ancient9–130.029%7 Feb
nuke13–3-0.017%1 Feb
ancient13–110.0114%1 Feb
nuke5–13-0.0245%29 Jan
train16–190.0016%25 Jan
nuke13–60.0421%25 Jan
nuke13–80.0111%25 Jan
mirage13–70.0532%25 Jan
nuke11–130.0017%24 Jan

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 →