Čubajs.oRR™ — CS2 Stats

76561198001615930[U:1:41350202]

1,452Tracked matches43%Win rate2020Tracked since
3,624Hours in CS8Hrs last 2 wks
CSDB Rating4.5 DevelopingPassive Rifler
CSDB Leaderboard#24808 of 25523 tracked
Ladder ranks via Leetify

Rating over time

1,301Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,301
  • Next: Level 7 at 1,351 50 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGČubajs.oRR™PEAK ELO1,301csdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWLLWLLLWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.2
Aggression4.0
Utility6.6
Positioning4.8
Opening Duels0.3
Clutch4.6

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 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 618ms 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

Aim6.2
Positioning4.8
Utility6.6
Mechanics5.9
Opening Duels0.6
Win Impact2.8

Composite 4.5/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time622ms+19ms
first ⅓ avg 603ms → last ⅓ avg 622ms
Headshot accuracy15.2%+1.8%
first ⅓ avg 13.4% → last ⅓ avg 15.2%

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

0.12Best rating — dust2 13–5
130Biggest win — mirage
5Longest win streak
106In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 63% over 27infernoWeakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA27171063%0.02
dust2B25131252%-0.00
infernoB22101245%-0.00
ancientA106460%0.01
nukeB63350%0.00
anubis31233%-0.07
overpass31233%0.05
train220100%0.07
vertigo1010%0.05
cache110100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,549Lifetime kills
1.05K/D · Top 50% of tracked players
4,252Matches
45.6%Match win rate
35.2%Headshot %
17.6%Shot accuracy · Top 25% of tracked players
9,906MVPs
2,058Hours (in match)
5,237Bombs planted
1,175Bombs defused

Most-used weapons

AK-4723,100
AWP15,510
P902,116
P2502,073
MAC-101,996
Knife1,884

Lifetime map wins

12,375dust2
9,646inferno
3,720nuke
1,019vertigo
1,015train
157office
91dust
57lake

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

Faceit stats

Combat

1,431Matches
50%Win rate
1.15Avg K/D
79.7ADR
35%Headshot %

Clutches & streaks

43%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11641%1.0014.6
Anubis6149%0.9514.6
Ancient5652%1.0715.8
Inferno5547%0.9914.1
Dust25357%1.0815.8
Nuke3839%0.9914.4
Vertigo2642%0.8313.0
Overpass1662%1.2017.1

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.

15.2%Headshot accuracy
36.1%Accuracy (enemy spotted)
33.0%Spray accuracy
76.7%Counter-strafing
9.3°Preaim
618msReaction time
27.7%T opening success
34.6%CT opening success
0.66Enemies flashed / flash
7.1%Flash assists
13.86HE damage / grenade
8.59Flashes / 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 27.7157% — 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.

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–140.019%29 Aug
nuke14–160.0912%29 Aug
vertigo9–130.0525%24 Aug
dust213–9-0.0017%22 Aug
dust212–160.0624%17 Aug
dust26–130.029%17 Aug
inferno6–13-0.066%15 Aug
cache13–10-0.009%13 Aug
inferno13–3-0.039%11 Aug
mirage9–130.0912%10 Aug
inferno7–13-0.0013%8 Aug
mirage7–13-0.0332%8 Aug
inferno13–11-0.0212%8 Aug
mirage0–13-0.0118%7 Aug
inferno9–130.0112%6 Aug
mirage8–130.0529%5 Aug
dust213–100.0216%1 Aug
ancient9–50.0117%1 Aug
dust213–50.1223%1 Aug
ancient6–13-0.0012%1 Aug
dust213–60.0216%29 Jul
inferno1–100.0932%29 Jul
inferno13–30.0414%14 Jul
mirage13–7-0.0120%24 Jun
inferno4–13-0.0013%24 Jun
mirage13–10-0.036%18 Jun
inferno13–10-0.0119%15 Jun
anubis6–13-0.0711%15 Jun
mirage8–13-0.0710%7 Jun
dust211–13-0.0314%4 Jun
nuke3–13-0.059%1 Jun
mirage13–50.0612%26 May
mirage13–9-0.0010%19 May
overpass7–130.0819%16 May
inferno12–160.0327%7 May
dust213–6-0.0420%5 May
mirage13–0-0.0413%22 Apr
dust29–130.0319%22 Apr
nuke13–90.069%19 Apr
mirage13–40.0912%19 Apr
dust23–13-0.0814%19 Apr
mirage16–13-0.0211%12 Apr
mirage13–10-0.0418%11 Apr
dust213–10-0.0617%6 Apr
anubis4–13-0.0721%6 Apr
dust213–30.0312%6 Apr
overpass13–80.0922%6 Apr
ancient13–100.025%6 Apr
dust213–70.1113%27 Mar
mirage13–11-0.0016%22 Mar
dust27–13-0.0614%21 Mar
inferno10–130.0319%21 Mar
ancient9–13-0.0416%15 Mar
mirage7–130.0916%13 Mar
overpass13–16-0.0211%13 Mar
ancient17–190.0111%13 Mar
dust28–130.0115%11 Mar
mirage13–100.0315%11 Mar
inferno13–9-0.0213%10 Mar
dust213–4-0.1210%9 Mar
nuke13–30.019%8 Mar
mirage16–120.0512%8 Mar
dust27–13-0.056%8 Mar
dust213–110.0512%4 Mar
dust216–13-0.0215%3 Mar
nuke11–13-0.0410%3 Mar
mirage10–130.0813%2 Mar
dust23–130.0426%2 Mar
train13–90.089%25 Feb
ancient13–11-0.0011%24 Feb
inferno13–11-0.0711%22 Feb
mirage13–100.0911%21 Feb
mirage13–20.035%17 Feb
mirage8–130.0521%16 Feb
nuke16–14-0.0412%16 Feb
ancient16–130.009%11 Feb
mirage13–7-0.0213%10 Feb
dust215–15-0.0314%10 Feb
inferno9–60.1017%7 Feb
inferno13–5-0.1114%6 Feb
inferno14–16-0.039%6 Feb
ancient13–7-0.0010%6 Feb
dust213–11-0.0411%6 Feb
mirage13–60.0221%6 Feb
mirage16–14-0.0412%6 Feb
inferno6–130.0213%6 Feb
mirage15–15-0.0110%6 Feb
inferno6–130.0212%5 Feb
mirage13–100.0313%4 Feb
inferno7–13-0.1210%3 Feb
anubis13–8-0.0617%2 Feb
inferno13–80.0114%30 Jan
ancient13–30.0826%27 Jan
ancient11–130.0323%13 Jan
dust29–13-0.0110%12 Jan
dust213–30.0816%12 Jan
inferno5–130.048%12 Jan
train13–110.0710%12 Jan
dust23–13-0.109%10 Jan
mirage10–130.0118%8 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →