Moze — CS2 Stats

76561198052689885[U:1:92424157]

718Tracked matches50%Win rate2024Tracked since
CSDB Rating6.1 SolidPassive Rifler
Premier CS Rating22,552Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#10417 of 41481 tracked
FaceitLevel 3 · 808 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMozeFACEITLevel 3 · 808 ELOSTANDINGTop 90.6% of rankedPREMIER22,552 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning41
Utility44

0–100 skill scores via Leetify.

Recent form

HOT53452Last 10053%Win rateWLWWWWWWWL

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating

Player DNA

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

Aim8.8
Aggression4.4
Utility4.4
Positioning4.1
Opening Duels1.0
Clutch4.4

Sharp aimerStrong 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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower utility contribution; lower 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 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.

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.8
Positioning4.1
Utility4.4
Mechanics7.7
Opening Duels1.7
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time579ms−30ms
first ⅓ avg 608ms → last ⅓ avg 579ms
Headshot accuracy19.1%+3.7%
first ⅓ avg 15.4% → last ⅓ avg 19.1%

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

0.08Best rating — cache 16–13
130Biggest win — inferno
7Longest win streak
94In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 71% over 17nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2213959%-0.01
mirageB189950%-0.02
ancientS1712571%-0.03
infernoB157847%0.00
cacheA127558%-0.00
anubisC94544%-0.01
nukeD61517%-0.02
office1010%-0.19

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches
60%Win rate
1.34Avg K/D
85.0ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1850%1.2916.0
Dust21861%1.6518.2
Inferno862%1.0816.5
Nuke786%1.0315.6
Ancient580%1.5019.6
Train20%0.8814.0
Overpass250%1.1918.0

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.

18.1%Headshot accuracy
40.9%Accuracy (enemy spotted)
47.6%Spray accuracy
84.8%Counter-strafing
8.9°Preaim
572msReaction time
24.5%T opening success
43.8%CT opening success
0.46Enemies flashed / flash
7.7%Flash assists
6.29HE damage / grenade
7.33Flashes / 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 0.4604 — 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 24.4666% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0312%28 Aug
anubis6–130.0221%28 Aug
nuke16–120.0120%28 Aug
inferno13–00.0218%28 Aug
inferno13–30.0323%28 Aug
dust213–7-0.027%27 Aug
mirage13–8-0.009%27 Aug
anubis13–5-0.0238%27 Aug
dust213–11-0.0412%27 Aug
mirage2–13-0.0317%23 Aug
nuke6–13-0.0426%23 Aug
ancient3–13-0.0415%23 Aug
cache9–13-0.0415%23 Aug
cache13–30.0418%23 Aug
ancient13–50.0119%23 Aug
dust210–130.0020%23 Aug
nuke5–130.0515%22 Aug
inferno6–9-0.0123%22 Aug
dust27–13-0.0518%22 Aug
anubis8–13-0.0715%22 Aug
anubis3–13-0.0213%21 Aug
dust211–13-0.0130%21 Aug
anubis13–110.0523%21 Aug
mirage13–7-0.056%20 Aug
cache2–8-0.0720%19 Aug
anubis1–13-0.0336%19 Aug
ancient13–7-0.0414%19 Aug
inferno10–130.0413%19 Aug
mirage13–8-0.0424%18 Aug
ancient13–11-0.0412%17 Aug
anubis11–130.0322%17 Aug
cache13–30.0439%17 Aug
dust28–130.0217%17 Aug
nuke10–13-0.0516%16 Aug
ancient13–10-0.0123%16 Aug
ancient13–110.039%16 Aug
mirage13–8-0.0215%16 Aug
inferno9–13-0.0120%16 Aug
inferno13–20.0518%16 Aug
dust213–100.0019%16 Aug
mirage12–16-0.0020%16 Aug
dust29–13-0.0013%16 Aug
dust213–6-0.0337%16 Aug
dust213–8-0.0133%14 Aug
ancient13–11-0.107%14 Aug
dust213–100.0220%14 Aug
ancient15–15-0.0414%14 Aug
inferno4–130.0119%14 Aug
mirage14–16-0.0213%13 Aug
dust213–50.0420%13 Aug
inferno13–9-0.0111%13 Aug
mirage2–13-0.0425%13 Aug
inferno13–100.0611%13 Aug
dust212–16-0.0217%13 Aug
anubis13–50.0018%12 Aug
cache16–130.0113%12 Aug
cache10–130.0610%12 Aug
ancient6–13-0.0117%12 Aug
mirage1–13-0.1011%12 Aug
inferno1–130.0320%12 Aug
mirage2–60.0040%12 Aug
ancient13–3-0.004%12 Aug
dust24–13-0.0615%9 Aug
mirage7–13-0.0014%9 Aug
inferno3–13-0.1022%9 Aug
dust213–4-0.0216%9 Aug
anubis13–9-0.0913%9 Aug
inferno2–10-0.0124%9 Aug
dust29–13-0.0519%9 Aug
ancient16–12-0.0113%9 Aug
nuke12–12-0.058%9 Aug
office11–13-0.190%8 Aug
dust26–13-0.0514%8 Aug
dust213–11-0.0119%8 Aug
mirage13–7-0.0315%6 Aug
dust213–60.0311%6 Aug
cache8–13-0.0218%6 Aug
mirage16–14-0.0118%6 Aug
inferno9–13-0.0321%6 Aug
mirage0–13-0.069%6 Aug
ancient5–13-0.0712%5 Aug
cache13–9-0.0213%5 Aug
cache16–130.0819%4 Aug
mirage13–50.0726%4 Aug
ancient13–8-0.0020%4 Aug
ancient8–13-0.0115%4 Aug
ancient13–11-0.1111%3 Aug
dust213–9-0.0519%3 Aug
ancient13–1-0.0215%3 Aug
cache13–9-0.0222%3 Aug
ancient13–8-0.0313%3 Aug
cache10–13-0.0526%2 Aug
nuke7–13-0.0416%2 Aug
mirage13–30.0111%2 Aug
inferno13–8-0.0510%2 Aug
dust213–40.0521%1 Aug
dust213–110.0113%1 Aug
inferno13–100.0120%1 Aug
mirage3–13-0.0515%29 Jul
mirage13–9-0.035%29 Jul

Match data via Leetify.

Milestones

500 Matches
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