moxx — CS2 Stats

76561198180639159[U:1:220373431]

784Tracked matches67%Win rate2021Tracked since
CSDB Rating7.5 StrongAggressive Rifler
FaceitLevel 10 · 2,778 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmoxxFACEITLevel 10 · 2,778 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning64
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY56422Last 10056%Win rateWWWLLWLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.8
Aggression9.7
Utility2.8
Positioning6.4
Opening Duels5.8
Clutch3.4

Sharp aimerExcellent counter-strafingLimited 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.

Your pro match

sh1ro

Plays most like sh1ro 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

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

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.

Reaction time. 609ms 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
Positioning6.4
Utility2.8
Mechanics9.3
Opening Duels5.8
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time610ms+25ms
first ⅓ avg 585ms → last ⅓ avg 610ms
Headshot accuracy26.8%+1.6%
first ⅓ avg 25.2% → last ⅓ avg 26.8%

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

0.20Best rating — ancient 13–5
163Biggest win — inferno
6Longest win streak
W3Current streak
710In matches decided by ≤2 rounds
44Overtime games

Map breakdown

dust2Best map · 75% over 12anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA24141058%0.01
ancientB23121152%0.02
infernoS1913668%0.02
dust2S129375%0.03
anubisD93633%-0.01
trainA53260%0.00
overpass42250%0.04
vertigo2020%-0.02
nuke2020%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,281Matches
56%Win rate
1.17Avg K/D
92.1ADR
62%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage61056%1.1618.2
Dust246054%1.1618.4
Ancient36161%1.2219.4
Anubis16354%1.1918.6
Train9759%1.1918.1
Inferno4955%1.2418.6
Overpass2638%1.1119.0
Nuke1040%0.9314.1

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.

26.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.4%Spray accuracy
91.7%Counter-strafing
8.3°Preaim
609msReaction time
49.4%T opening success
57.2%CT opening success
0.48Enemies flashed / flash
7.2%Flash assists
5.27HE damage / grenade
4.53Flashes / 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 0.4798 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–50.2035%16 May
ancient13–80.0319%6 May
dust213–3-0.0433%23 Apr
mirage13–160.0432%21 Apr
anubis11–130.0724%21 Apr
dust213–90.0827%28 Mar
ancient8–130.0521%14 Mar
anubis13–9-0.0314%9 Mar
mirage13–9-0.0426%9 Jan
ancient7–130.0116%4 Jan
inferno16–120.0925%31 Dec
ancient13–30.0427%27 Dec
inferno13–5-0.0530%23 Dec
mirage10–130.0128%16 Dec
dust213–50.0637%22 Sept
dust211–130.0221%22 Sept
ancient13–40.0138%29 Aug
inferno13–100.0726%13 Aug
overpass6–130.0239%1 Aug
train6–13-0.0832%31 Jul
ancient13–80.0425%27 Jul
mirage7–13-0.0314%29 Jun
train13–9-0.0228%28 Jun
dust213–20.0528%30 May
inferno1–60.0118%30 May
mirage13–70.1338%28 May
dust213–80.0621%16 May
ancient13–100.0124%16 May
ancient13–60.0319%11 May
inferno13–90.0631%10 May
anubis16–140.0328%10 May
ancient6–13-0.0324%10 May
mirage13–40.1339%10 Apr
mirage10–13-0.0315%11 Mar
dust213–50.1135%10 Mar
ancient9–13-0.0321%28 Feb
train13–11-0.0218%28 Feb
train5–13-0.0224%22 Feb
mirage13–100.0421%25 Jan
ancient13–11-0.0223%22 Jan
anubis13–90.0531%22 Jan
inferno13–2-0.0431%21 Jan
ancient10–13-0.0134%21 Jan
mirage13–60.0433%17 Jan
ancient11–130.0631%5 Jan
anubis8–13-0.0315%29 Dec
ancient10–13-0.0517%29 Dec
mirage13–80.0333%28 Dec
anubis11–13-0.0515%26 Dec
mirage13–100.0030%14 Dec
ancient9–13-0.0332%13 Dec
anubis7–13-0.0618%10 Dec
ancient14–160.0340%9 Dec
train13–50.1525%25 Nov
mirage13–110.0131%14 Nov
ancient13–7-0.0028%12 Nov
ancient13–10.2037%11 Nov
anubis11–130.0235%10 Nov
inferno13–80.0132%14 Jan
mirage2–13-0.1111%16 Nov
inferno16–30.0633%6 Jul
vertigo14–16-0.0225%25 Mar
inferno16–40.0223%25 Mar
nuke10–16-0.0339%4 Mar
overpass14–160.0422%13 Feb
dust217–19-0.0338%18 Jan
mirage19–16-0.0315%18 Jan
ancient16–12-0.0224%10 Jan
ancient12–160.0020%8 Jan
anubis13–16-0.0622%7 Jan
inferno10–16-0.0618%4 Jan
mirage4–16-0.0520%31 Dec
inferno16–70.0121%30 Dec
mirage16–130.0133%29 Dec
inferno16–50.0628%28 Dec
mirage14–16-0.0415%19 Dec
vertigo9–16-0.0222%10 Dec
inferno15–150.1026%3 Dec
mirage16–10-0.0635%1 Dec
dust216–13-0.0126%5 Nov
mirage16–40.1327%22 Oct
inferno8–16-0.0631%17 Oct
dust212–16-0.0118%4 Sept
dust216–110.0222%4 Sept
inferno16–70.0624%18 Aug
inferno16–70.0729%14 Aug
mirage10–16-0.0926%31 Jul
nuke10–16-0.0229%31 Jul
mirage16–40.1126%31 Jul
mirage10–160.0433%9 Jun
overpass16–100.0834%15 May
inferno3–16-0.0526%5 Apr
inferno15–150.0835%19 Mar
mirage16–100.0724%24 Feb
ancient5–160.0235%20 Feb
mirage15–190.0014%6 Feb
dust219–170.0030%4 Feb
overpass16–110.0316%3 Feb
ancient19–170.0219%3 Feb
inferno16–140.0524%3 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →