MasterOfCubesAU

MasterOfCubesAU — CS2 Stats

AU76561198154117675[U:1:193851947]Steam profile ↗✓ No bans

387Tracked matches61%Win rate2020Tracked since
CSDB Rating5.6 Solid
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGMasterOfCubesAUFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning54
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53407Last 10053%Win rateWLLWLWLTWL

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Aim5.7
Aggression7.3
Utility4.2
Positioning5.4
Opening Duels2.0

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

b1t

Plays most like b1t 84% 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

Areas to improve

Reaction time. 613ms 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

Aim5.7
Positioning5.4
Utility4.2
Mechanics7.2
Opening Duels2.0
Win Impact8.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time599ms−10ms
first ⅓ avg 609ms → last ⅓ avg 599ms
Headshot accuracy18.9%−3.5%
first ⅓ avg 22.4% → last ⅓ avg 18.9%

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

0.21Best rating — inferno 9–6
130Biggest win — inferno
6Longest win streak
44In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A41261563%0.00
mirageC2191243%0.01
infernoC135838%0.02
ancientS64267%0.01
anubis41325%-0.01
train42250%0.01
vertigo31233%-0.00
nuke2020%-0.07
agency110100%0.06
grail110100%-0.00
brewery110100%0.16
dogtown1010%0.15
edin110100%0.11
basalt110100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.3%Headshot accuracy
30.0%Accuracy (enemy spotted)
31.1%Spray accuracy
82.6%Counter-strafing
10.3°Preaim
613msReaction time
34.5%T opening success
41.8%CT opening success
0.39Enemies flashed / flash
6.6%Flash assists
14.14HE damage / grenade
1.52Flashes / 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 0.3873 — 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 34.55% — 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.

38% 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
dust213–110.0925%24 Aug
anubis9–13-0.0426%24 Aug
vertigo5–13-0.0330%24 Aug
inferno9–60.2125%5 Aug
inferno6–90.0824%5 Aug
dust213–10-0.0423%17 Jul
inferno11–13-0.0326%11 Jul
inferno12–120.0423%9 Jul
dust216–12-0.0413%6 Jul
mirage7–13-0.0326%6 Jul
vertigo8–130.0017%29 Jun
dust210–13-0.058%29 Jun
dust213–100.0229%26 Jun
mirage10–13-0.0616%25 Jun
mirage13–3-0.0612%25 Jun
dust213–11-0.017%20 Jun
inferno13–70.0015%20 Jun
dust23–6-0.0911%19 Jun
ancient13–11-0.0413%19 Jun
dust213–70.0917%14 Jun
mirage13–10.1022%14 Jun
dust213–80.0621%12 Jun
mirage5–13-0.0523%12 Jun
dust213–40.1124%11 Jun
inferno8–13-0.0020%5 Jun
dust213–11-0.0312%5 Jun
dust27–13-0.0131%2 Jun
mirage13–100.0812%2 Jun
anubis12–12-0.048%30 May
ancient13–70.0116%22 May
train13–10-0.0110%21 May
inferno13–6-0.0617%15 May
mirage9–13-0.0421%15 May
agency13–100.0618%13 May
grail13–3-0.0019%13 May
inferno11–13-0.0514%13 May
train6–130.0923%12 May
nuke5–13-0.0910%12 May
brewery9–40.1618%12 May
dogtown8–80.1517%12 May
dust213–10-0.0315%9 May
mirage7–130.0222%9 May
dust213–80.0418%7 May
dust210–13-0.0013%7 May
dust213–80.0723%7 May
mirage13–60.0215%26 Apr
ancient13–100.0215%26 Apr
dust26–130.0621%25 Apr
ancient13–20.0613%25 Apr
mirage13–60.0317%25 Apr
inferno13–00.0927%25 Apr
anubis13–20.0422%1 Apr
dust213–80.0516%1 Apr
mirage7–130.0429%22 Mar
mirage5–13-0.0118%19 Mar
mirage10–10.0610%19 Mar
dust213–70.0119%12 Mar
mirage2–13-0.0415%12 Mar
dust213–9-0.0214%3 Mar
edin13–10.1111%3 Mar
inferno9–130.049%1 Mar
dust29–130.0524%21 Feb
dust213–0-0.0233%13 Feb
dust29–130.0227%13 Feb
anubis7–130.0119%13 Feb
dust213–8-0.0019%9 Feb
dust210–13-0.0217%9 Feb
inferno13–60.0213%7 Feb
dust213–00.0923%7 Feb
mirage13–80.0121%7 Feb
dust29–13-0.0324%7 Feb
mirage7–130.0124%3 Feb
ancient6–13-0.049%1 Feb
mirage6–130.0112%1 Feb
inferno6–130.0124%30 Jan
dust25–2-0.0520%30 Jan
ancient12–120.0717%27 Jan
nuke3–13-0.0421%26 Jan
dust213–30.0229%12 Jan
dust213–1-0.0614%12 Jan
mirage12–120.0535%6 Jan
inferno1–13-0.0839%6 Jan
dust212–120.0622%6 Jan
dust29–13-0.0527%4 Jan
dust213–8-0.0313%3 Jan
dust25–13-0.059%3 Jan
dust211–7-0.0525%2 Jan
dust211–130.0025%4 Dec
mirage13–20.0542%4 Dec
dust212–120.0021%1 Dec
dust27–1-0.038%1 Dec
mirage3–130.0018%1 Dec
train13–60.0318%1 Dec
vertigo11–20.0223%27 Nov
dust213–40.0927%27 Nov
mirage8–00.1124%24 Nov
dust213–9-0.0328%24 Nov
basalt13–60.0033%15 Nov
dust211–130.0324%15 Nov
train6–13-0.0826%15 Nov

Match data via Leetify.

Recent teammates

Milestones

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