ルービック — CS2 Stats

76561199118446727[U:1:1158180999]

436Tracked matches38%Win rate2021Tracked since
CSDB Rating3.5 Learning
Premier CS Rating4,649Grey band · top ~80.3% of ranked players (population est.)
CSDB Leaderboard#18230 of 23666 tracked
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGルービックPREMIER4,649 · Grey bandcsdb.gg/stats

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Performance scores

Aim54
Positioning29
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY40528Last 10040%Win rateTWWLWLLWLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim5.4
Aggression2.5
Utility5.2
Positioning2.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 645ms 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

Aim5.4
Positioning2.9
Utility5.2
Mechanics4.9
Opening Duels0.2
Win Impact1.2

Composite 3.5/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time643ms−93ms
first ⅓ avg 735ms → last ⅓ avg 643ms
Headshot accuracy17.7%+1.0%
first ⅓ avg 16.7% → last ⅓ avg 17.7%

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

0.08Best rating — anubis 13–1
130Biggest win — boulder
3Longest win streak
66In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 61% over 18nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA1811761%-0.03
mirageB168850%-0.04
cacheD1551033%-0.04
dust2C73443%-0.05
nukeD61517%-0.04
anubisD62433%-0.01
officeC52340%-0.05
boulder41325%-0.00
vertigo4040%-0.04
ancient42250%-0.02
overpass4040%-0.05
train31233%-0.05
fachwerk21150%-0.01
warden2020%-0.04
alpine21150%-0.03
shelter110100%0.03
italy110100%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke 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.

16.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
36.4%Spray accuracy
72.2%Counter-strafing
8.7°Preaim
645msReaction time
31.4%T opening success
19.5%CT opening success
0.51Enemies flashed / flash
2.5%Flash assists
7.48HE damage / grenade
7.15Flashes / 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

    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 31.3552% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
boulder12–12-0.0317%27 Aug
office13–8-0.050%27 Aug
dust213–10-0.0815%27 Aug
cache9–13-0.0415%27 Aug
shelter13–110.0321%26 Aug
nuke3–13-0.050%25 Aug
cache7–13-0.0223%24 Aug
inferno13–40.0214%24 Aug
dust22–13-0.0124%23 Aug
mirage13–80.0423%23 Aug
inferno13–5-0.0235%23 Aug
mirage6–13-0.090%22 Aug
inferno13–110.0426%22 Aug
dust211–13-0.0623%21 Aug
anubis13–10.0828%21 Aug
fachwerk11–13-0.0324%20 Aug
mirage2–90.018%20 Aug
inferno3–2-0.0950%12 Aug
mirage7–2-0.0320%12 Aug
mirage12–12-0.0113%11 Aug
inferno5–11-0.0929%9 Aug
inferno11–13-0.0411%8 Aug
vertigo5–13-0.046%6 Aug
ancient1–130.0333%2 Aug
overpass11–13-0.029%25 Jul
nuke12–12-0.0414%25 Jul
nuke6–13-0.067%21 Jul
anubis12–12-0.0411%21 Jul
office4–13-0.0424%19 Jul
overpass5–13-0.0816%19 Jul
boulder5–13-0.0213%19 Jul
boulder13–00.048%19 Jul
inferno7–13-0.0825%18 Jul
boulder2–13-0.0119%18 Jul
train1–13-0.0820%18 Jul
cache7–130.0330%16 Jul
anubis5–13-0.0440%14 Jul
fachwerk13–70.0213%14 Jul
warden3–13-0.0521%4 Jul
ancient13–4-0.025%14 Jun
warden12–12-0.0216%13 Jun
anubis8–13-0.067%11 Jun
inferno13–10-0.078%2 Jun
alpine1–8-0.1120%23 May
vertigo2–13-0.0629%22 May
alpine13–80.0426%22 May
vertigo2–13-0.0414%17 May
anubis8–13-0.0912%16 May
italy13–9-0.0712%16 May
dust213–6-0.035%10 May
cache13–10-0.0311%9 May
mirage3–13-0.0625%7 May
mirage13–3-0.0720%7 May
mirage1–13-0.078%7 May
inferno9–10.0311%6 May
cache1–13-0.0814%5 May
cache6–13-0.1716%4 May
cache7–13-0.079%3 May
cache13–5-0.1011%2 May
cache7–13-0.038%30 Apr
cache9–13-0.0512%29 Apr
cache13–8-0.0413%29 Apr
cache7–13-0.0226%29 Apr
cache13–20.0213%29 Apr
cache10–13-0.0830%29 Apr
cache13–90.0227%29 Apr
inferno11–13-0.0216%28 Apr
dust213–8-0.0132%28 Apr
mirage13–00.020%28 Apr
anubis13–40.0722%28 Apr
dust212–12-0.0617%26 Apr
mirage7–130.0012%25 Apr
dust211–13-0.1125%24 Apr
mirage5–13-0.0632%24 Apr
office7–13-0.0426%24 Apr
inferno13–11-0.0219%23 Apr
mirage13–6-0.109%19 Apr
nuke9–13-0.0317%19 Apr
mirage13–7-0.0529%17 Apr
mirage13–10-0.0514%17 Apr
mirage5–13-0.0811%16 Apr
inferno13–70.0214%16 Apr
inferno12–12-0.0420%13 Apr
mirage13–5-0.0517%12 Apr
train13–7-0.0513%12 Apr
train1–13-0.020%11 Apr
ancient13–10-0.0416%11 Apr
overpass6–13-0.088%11 Apr
office13–8-0.0329%10 Apr
ancient3–13-0.0611%10 Apr
overpass7–13-0.0111%10 Apr
nuke13–60.0112%10 Apr
inferno13–11-0.0717%9 Apr
nuke5–13-0.0419%8 Apr
vertigo12–12-0.048%8 Apr
inferno13–10-0.0721%7 Apr
inferno5–13-0.0519%7 Apr
inferno10–9-0.0013%7 Apr
office1–13-0.1120%6 Apr
inferno5–13-0.0821%5 Apr

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 →