moxii

moxii — CS2 Stats

GB76561198158357543[U:1:198091815]Steam profile ↗

610Tracked matches52%Win rate2025Tracked since
2,357Hours in CS105Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 7 · 935 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGmoxiiFACEITLevel 7 · 935 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY53416Last 10053%Win rateLLWWWWLLWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9
Aggression8.5
Utility6.4
Positioning6.3
Opening Duels4.2
Clutch2.6

Strong CT-side openerEffective flashes

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

jL

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim6.9
Positioning6.3
Utility6.4
Mechanics5.6
Opening Duels4.7
Win Impact5.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time560ms+24ms
first ⅓ avg 537ms → last ⅓ avg 560ms
Headshot accuracy14.7%+0.4%
first ⅓ avg 14.3% → last ⅓ avg 14.7%

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

0.26Best rating — vertigo 9–3
131Biggest win — dust2
6Longest win streak
L2Current streak
1410In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 86% over 14infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB22111150%0.01
dust2B157847%0.03
nukeS1412286%0.06
infernoD1331023%-0.03
ancientA95456%0.04
anubisS86275%0.07
cacheA74357%0.01
vertigoA74357%0.07
overpass2020%0.03
poseidon1010%-0.01
office110100%0.10
train1010%-0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,188Lifetime kills
1.23K/D · Top 25% of tracked players
2,212Matches
45.3%Match win rate
50.0%Headshot % · Top 50% of tracked players
8.4%Shot accuracy
6,305MVPs
9,726Hours (in match)
1,128Bombs planted
659Bombs defused

Most-used weapons

Lifetime map wins

3,243dust2
1,667inferno
1,162nuke
743train
344vertigo
230cbble
126office
115aztec

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

Faceit stats

Combat

153Matches
54%Win rate
1.24Avg K/D
87.7ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4149%1.2318.0
Dust22548%1.2115.9
Anubis1580%1.3517.9
Nuke1275%1.3518.8
Ancient1155%1.2018.7
Inferno1030%0.8511.6
Cache1080%1.2617.1
Train450%1.7520.3

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.

14.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
41.5%Spray accuracy
75.2%Counter-strafing
9.5°Preaim
552msReaction time
26.2%T opening success
67.7%CT opening success
0.74Enemies flashed / flash
6.8%Flash assists
11.08HE damage / grenade
8.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5279% — below the 15% mark we flag

    Aim Training
  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 26.237% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0019%28 Aug
inferno7–13-0.0716%28 Aug
nuke16–120.0612%28 Aug
mirage13–70.0917%28 Aug
ancient13–110.1214%28 Aug
anubis13–80.0818%27 Aug
dust22–13-0.0517%27 Aug
nuke11–13-0.0220%26 Aug
dust213–40.0826%26 Aug
cache7–13-0.025%26 Aug
poseidon8–8-0.0120%26 Aug
mirage9–130.0112%25 Aug
anubis9–130.0716%25 Aug
anubis13–110.0714%25 Aug
mirage11–130.0317%24 Aug
mirage13–110.0419%24 Aug
ancient6–130.0012%24 Aug
cache13–110.0414%23 Aug
inferno10–130.0614%23 Aug
dust212–12-0.0012%23 Aug
mirage13–9-0.0412%22 Aug
mirage11–13-0.0411%21 Aug
mirage4–13-0.0715%21 Aug
cache16–12-0.0118%20 Aug
cache13–80.0221%20 Aug
dust213–80.1221%18 Aug
mirage16–140.077%16 Aug
mirage16–14-0.013%11 Aug
mirage2–13-0.0417%11 Aug
vertigo13–50.0315%7 Aug
ancient9–130.0513%7 Aug
cache5–13-0.0413%1 Aug
nuke13–90.106%24 Jul
anubis10–20.0620%24 Jul
inferno7–3-0.0423%24 Jul
dust213–10.0318%24 Jul
mirage9–13-0.047%23 Jul
cache2–13-0.0317%23 Jul
dust213–100.0923%23 Jul
nuke13–30.1223%23 Jul
nuke13–10.0328%29 Jun
mirage3–13-0.0213%31 May
dust23–13-0.0119%31 May
mirage13–10-0.0121%11 May
ancient13–80.0221%30 Apr
mirage13–40.1017%29 Apr
cache13–90.1017%29 Apr
mirage11–130.0415%26 Apr
mirage11–13-0.0213%26 Apr
mirage13–9-0.0019%18 Mar
ancient15–150.0018%11 Mar
inferno5–13-0.0614%7 Mar
ancient13–70.0528%6 Mar
anubis13–40.1612%6 Mar
dust210–130.0115%27 Feb
dust216–140.0213%25 Feb
nuke13–60.078%23 Feb
mirage13–110.0333%22 Feb
mirage11–130.038%20 Feb
anubis3–130.0626%20 Feb
inferno7–9-0.039%14 Feb
inferno7–9-0.117%14 Feb
vertigo2–13-0.0633%11 Feb
vertigo13–20.1128%11 Feb
vertigo8–130.0620%11 Feb
nuke5–13-0.0622%9 Feb
dust25–13-0.0317%7 Feb
ancient4–13-0.047%7 Feb
anubis13–90.0116%7 Feb
anubis13–40.0718%7 Feb
nuke9–70.1518%5 Feb
inferno1–9-0.1416%5 Feb
ancient13–40.1015%5 Feb
dust213–70.0318%30 Jan
ancient13–60.0520%28 Jan
dust212–120.0312%28 Jan
office13–50.108%23 Jan
dust213–110.0615%19 Jan
mirage13–11-0.0128%17 Jan
nuke9–50.076%17 Jan
nuke13–100.0721%17 Jan
inferno9–50.1118%16 Jan
dust27–130.0321%16 Jan
inferno5–90.0118%16 Jan
vertigo9–30.2611%16 Jan
mirage13–110.0422%15 Jan
vertigo9–60.0414%15 Jan
nuke9–50.065%15 Jan
nuke9–60.1012%15 Jan
inferno8–80.078%14 Jan
overpass8–130.0624%14 Jan
inferno7–9-0.066%13 Jan
train0–7-0.150%12 Jan
inferno13–110.0322%12 Jan
nuke9–70.0911%12 Jan
mirage5–130.0113%12 Jan
vertigo8–80.0512%12 Jan
nuke9–6-0.0214%12 Jan
overpass6–90.0013%12 Jan
inferno5–9-0.109%12 Jan

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 →