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A_Cubed3

A_Cubed3 — CS2 Stats

AU76561198097699528[U:1:137433800]Steam profile ↗✓ No bans

335Tracked matches44%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating4,410Grey band · top ~81.3% of ranked players (population est.)
CSDB Leaderboard#43156 of 56010 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGA_Cubed3FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,410 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning50
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateWLWWLLLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim5.2
Aggression7.7
Utility0.7
Positioning5.0
Opening Duels3.2

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

ropz

Plays most like ropz 76% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 636ms 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

Aim5.2
Positioning5.0
Utility0.7
Mechanics7.0
Opening Duels3.2
Win Impact3.1

Composite 3.9/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time634ms−11ms
first ⅓ avg 645ms → last ⅓ avg 634ms
Headshot accuracy13.2%+2.2%
first ⅓ avg 11.0% → last ⅓ avg 13.2%

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

0.16Best rating — inferno 13–7
13–0Biggest win — inferno
6Longest win streak
2–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 67% over 6vertigoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2811–1739%-0.05
mirageC187–1139%-0.05
infernoB178–947%-0.03
vertigoD71–614%-0.07
officeS64–267%-0.05
anubis—41–325%-0.04
ancient—42–250%-0.03
nuke—32–167%-0.04
overpass—20–20%-0.05
agency—22–0100%-0.01
train—20–20%-0.03
shelter—11–0100%-0.08
warden—10–10%-0.09
alpine—10–10%-0.12
grail—11–0100%-0.04
brewery—11–0100%-0.03
dogtown—10–10%-0.12
basalt—11–0100%-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Vertigo 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.

13.2%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.8%Spray accuracy
81.4%Counter-strafing
9.8°Preaim
636msReaction time
42.9%T opening success
43.0%CT opening success
0.24Enemies flashed / flash
0.4%Flash assists
5.40HE damage / grenade
1.31Flashes / 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 13.2145% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2389 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0813%18 Jul →
overpass6–13-0.018%18 Jul →
shelter13–10-0.0814%12 Jul →
mirage13–10-0.0312%12 Jul →
warden4–13-0.0914%6 Jul →
office4–13-0.0517%6 Jul →
inferno4–13-0.1119%5 Jul →
alpine6–13-0.1222%22 Apr →
inferno12–60.0216%22 Mar →
dust213–11-0.0413%24 Aug →
anubis9–13-0.052%24 Aug →
inferno9–6-0.098%5 Aug →
inferno6–9-0.1218%5 Aug →
inferno12–12-0.037%9 Jul →
anubis8–13-0.055%4 Jul →
dust27–13-0.0221%4 Jul →
mirage12–12-0.0712%4 Jul →
vertigo8–13-0.0513%29 Jun →
dust210–13-0.0616%29 Jun →
dust213–7-0.0610%14 Jun →
mirage13–1-0.0415%14 Jun →
inferno8–13-0.038%5 Jun →
anubis12–12-0.0415%30 May →
mirage7–13-0.0211%23 May →
agency13–90.0113%17 May →
inferno13–6-0.0213%15 May →
agency13–10-0.0228%13 May →
grail13–3-0.0416%13 May →
inferno11–13-0.075%13 May →
train6–130.0221%12 May →
nuke5–13-0.0311%12 May →
brewery9–4-0.0315%12 May →
dogtown8–8-0.124%12 May →
dust213–8-0.0313%7 May →
dust210–13-0.0411%7 May →
ancient13–10-0.067%26 Apr →
dust26–13-0.078%25 Apr →
ancient13–2-0.013%25 Apr →
mirage13–6-0.0617%25 Apr →
inferno13–00.0211%25 Apr →
anubis13–2-0.0315%1 Apr →
dust213–8-0.059%1 Apr →
mirage7–13-0.0914%22 Mar →
inferno9–13-0.069%1 Mar →
dust29–13-0.0320%21 Feb →
ancient6–130.0111%1 Feb →
mirage6–13-0.0218%1 Feb →
ancient12–12-0.083%27 Jan →
mirage12–12-0.057%6 Jan →
inferno1–13-0.105%6 Jan →
dust212–12-0.056%6 Jan →
dust29–13-0.068%4 Jan →
mirage6–13-0.100%4 Jan →
basalt13–6-0.0510%15 Nov →
dust211–13-0.048%15 Nov →
train6–13-0.075%15 Nov →
vertigo10–13-0.0610%7 Nov →
dust27–13-0.1122%7 Nov →
mirage13–5-0.0113%6 Nov →
office13–4-0.049%6 Nov →
dust213–100.0224%6 Nov →
office8–13-0.0912%4 Nov →
dust28–13-0.0914%4 Nov →
inferno2–13-0.0715%13 Oct →
vertigo4–13-0.098%13 Oct →
dust22–13-0.0920%13 Oct →
mirage8–13-0.0716%13 Oct →
dust22–13-0.140%6 Oct →
overpass2–13-0.0914%6 Oct →
inferno13–11-0.0311%5 Oct →
inferno5–130.0218%5 Oct →
dust216–130.0514%3 Oct →
dust25–13-0.0826%2 Oct →
mirage13–80.0017%30 Sept →
vertigo11–13-0.065%30 Sept →
inferno13–70.1617%30 Sept →
vertigo2–13-0.146%25 Sept →
office13–9-0.017%23 Sept →
mirage13–3-0.046%23 Sept →
mirage8–13-0.0711%20 Sept →
dust211–13-0.104%20 Sept →
dust27–13-0.0813%20 Sept →
nuke13–4-0.065%19 Sept →
dust26–13-0.037%18 Sept →
dust213–80.0311%16 Sept →
mirage13–5-0.0610%15 Sept →
inferno13–80.0111%7 Sept →
mirage10–13-0.0714%6 Sept →
office13–5-0.0231%6 Sept →
dust28–13-0.1119%5 Sept →
mirage9–130.0010%5 Sept →
vertigo9–13-0.057%3 Sept →
office13–7-0.097%3 Sept →
nuke13–4-0.011%31 Aug →
vertigo13–7-0.0321%31 Aug →
dust213–8-0.049%31 Aug →
dust213–7-0.0310%30 Aug →
inferno13–8-0.004%30 Aug →
mirage5–13-0.107%28 Aug →
dust213–8-0.0311%28 Aug →

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 →

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