vMoonyy — CS2 Stats

76561198176178145[U:1:215912417]✓ No bans

734Tracked matches52%Win rate2020Tracked since
CSDB Rating3.8 Learning
Premier CS Rating21,157Pink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#6145 of 16180 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGvMoonyyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,157 · Pink bandcsdb.gg/stats

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Performance scores

Aim23
Positioning45
Utility53

0–100 skill scores via Leetify.

Recent form

COLD48511Last 10048%Win rateLWLWTLLLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim2.3
Aggression3.8
Utility5.3
Positioning4.5
Opening Duels0.9
Clutch3.4

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 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 690ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning4.5
Utility5.3
Mechanics4.4
Opening Duels0.9
Win Impact5.6

Composite 3.8/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time688ms+42ms
first ⅓ avg 646ms → last ⅓ avg 688ms
Headshot accuracy15.8%+0.3%
first ⅓ avg 15.4% → last ⅓ avg 15.8%

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

0.07Best rating — debris 9–6
131Biggest win — overpass
4Longest win streak
912In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 67% over 18dust2Weakest map · 34% over 29
MapGradePlayedRecordWin rateAvg rating
dust2D29101934%-0.04
infernoA2112957%-0.03
nukeS1812667%-0.03
anubisA74357%-0.04
overpassC73443%-0.04
mirage41325%-0.02
train32167%-0.05
cache21150%-0.04
debris110100%0.07
fachwerk110100%-0.10
boulder1010%-0.04
shelter1010%-0.07
warden110100%-0.03
stronghold1010%-0.11
alpine1010%-0.06
ancient1010%-0.06
golden1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

582Matches
52%Win rate
0.80Avg K/D
61.1ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
10%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust24055%0.7011.8
Nuke3266%0.7511.8
Inferno2361%0.8012.5
Overpass1164%0.7110.1
Mirage1040%0.6510.7
Cache1030%0.6210.6
Anubis838%0.609.6
Train540%0.7914.4

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.

16.2%Headshot accuracy
26.7%Accuracy (enemy spotted)
27.6%Spray accuracy
69.9%Counter-strafing
12.6°Preaim
690msReaction time
31.8%T opening success
35.6%CT opening success
0.61Enemies flashed / flash
10.9%Flash assists
8.41HE damage / grenade
5.96Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.587° — above the 12° mark we flag

    Aim Training
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.

34% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.110%2 Aug
debris9–60.0717%18 Jul
inferno3–9-0.159%18 Jul
fachwerk13–5-0.1025%17 Jul
boulder12–12-0.047%10 Jul
shelter1–13-0.0715%10 Jul
overpass4–13-0.0424%15 Jun
mirage9–13-0.0521%15 Jun
inferno13–50.0512%7 Jun
inferno8–13-0.0815%13 May
cache13–8-0.0517%3 May
overpass13–1-0.0826%27 Apr
cache11–13-0.0320%22 Apr
dust213–4-0.078%8 Apr
anubis13–110.0318%2 Apr
dust211–13-0.0219%31 Mar
inferno13–10-0.0521%30 Mar
dust22–13-0.1010%30 Mar
inferno11–13-0.068%16 Mar
overpass13–9-0.038%16 Mar
nuke13–110.0116%11 Mar
inferno13–7-0.0515%11 Mar
dust212–16-0.0519%11 Mar
inferno13–110.0011%9 Mar
dust213–9-0.0525%9 Mar
inferno13–100.0122%8 Mar
warden13–10-0.0316%7 Mar
nuke4–13-0.097%6 Mar
overpass9–13-0.0523%19 Feb
dust210–20.0413%19 Feb
stronghold9–13-0.1122%18 Feb
alpine11–13-0.0618%18 Feb
inferno9–13-0.0211%14 Feb
dust29–13-0.0725%13 Feb
nuke3–13-0.0714%13 Feb
anubis13–11-0.0410%13 Feb
dust213–70.0033%13 Feb
dust213–3-0.0122%13 Feb
ancient1–13-0.067%12 Feb
inferno5–13-0.0925%12 Feb
inferno11–13-0.0729%12 Feb
inferno13–90.0119%11 Feb
nuke13–7-0.0312%8 Feb
dust25–13-0.0211%8 Feb
inferno13–6-0.036%6 Feb
anubis13–8-0.0519%6 Feb
dust211–13-0.0418%5 Feb
inferno13–30.0115%2 Feb
nuke13–8-0.0314%2 Feb
inferno13–6-0.0115%1 Feb
anubis13–7-0.0624%1 Feb
anubis8–13-0.0617%28 Jan
dust213–7-0.0413%28 Jan
inferno5–130.0117%26 Jan
nuke13–10-0.0115%26 Jan
nuke10–13-0.0719%26 Jan
inferno13–40.0621%26 Jan
anubis8–13-0.0219%21 Jan
nuke3–13-0.0925%18 Jan
inferno7–13-0.0524%18 Jan
dust29–13-0.0411%16 Jan
dust213–4-0.0114%16 Jan
dust210–13-0.0531%12 Jan
train2–13-0.0927%9 Jan
nuke13–110.0030%9 Jan
dust213–11-0.0122%5 Jan
dust23–13-0.0712%15 Dec
mirage4–13-0.0610%15 Dec
inferno11–13-0.0438%13 Dec
overpass13–5-0.043%13 Dec
dust26–13-0.0117%13 Dec
nuke13–70.0139%13 Dec
nuke11–13-0.0215%12 Dec
dust24–13-0.0211%12 Dec
nuke8–13-0.1119%12 Dec
train13–50.003%7 Dec
dust213–11-0.0130%7 Dec
mirage11–130.0013%1 Dec
dust29–13-0.0214%1 Dec
nuke6–00.0233%1 Dec
inferno13–70.038%24 Nov
nuke13–11-0.029%24 Nov
nuke13–50.0213%12 Nov
dust27–13-0.0919%12 Nov
inferno13–10-0.0619%8 Nov
dust25–13-0.0411%8 Nov
mirage13–80.030%7 Nov
dust210–13-0.0511%7 Nov
dust28–13-0.0813%2 Nov
dust211–13-0.0410%1 Nov
train13–4-0.068%1 Nov
overpass11–13-0.046%31 Oct
dust25–13-0.0717%31 Oct
overpass11–13-0.017%30 Oct
nuke13–9-0.0511%30 Oct
dust213–10-0.0424%28 Oct
golden10–13-0.0515%27 Oct
dust24–13-0.0819%1 Oct
nuke13–6-0.0125%1 Oct
nuke9–70.0121%1 Oct

Match data via Leetify.

Recent teammates

Milestones

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