Chuba — CS2 Stats

76561198269570139[U:1:309304411]

1,071Tracked matches37%Win rate2020Tracked since
3,655Hours in CS3Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate47.7%44.2%44.9%above
Shot accuracy17.5%11.2%11.8%above
Kill/death ratio1.161.041.04above
Match win rate38.7%45.3%45.3%6.6% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGChubaFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43543Last 10043%Win rateLLLLWWLWLW

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

Player DNA

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

Aim7.0
Aggression5.7
Utility5.8
Positioning5.8
Opening Duels1.2
Clutch4.2

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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim7.0
Positioning5.8
Utility5.8
Mechanics8.3
Opening Duels1.8
Win Impact0.6

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 0.01 → last ⅓ avg 0.00
Reaction time615ms+11ms
first ⅓ avg 604ms → last ⅓ avg 615ms
Headshot accuracy26.1%+3.6%
first ⅓ avg 22.5% → last ⅓ avg 26.1%

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

0.13Best rating — mirage 13–5
131Biggest win — train
4Longest win streak
L4Current streak
56In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 50% over 26ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB26131350%-0.01
mirageB178947%0.02
trainB126650%0.02
nukeD113827%-0.01
vertigoC104640%0.01
ancientD71614%-0.02
infernoC52340%-0.02
dust24040%-0.03
anubis32167%0.02
overpass32167%-0.00
italy110100%-0.01
alpine110100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,678Lifetime kills
1.16K/D · Top 25% of Level 5 players
8,630Matches
38.7%Match win rate
47.7%Headshot % · Top 50% of Level 5 players
17.5%Shot accuracy · Top 25% of Level 5 players
14,525MVPs
2,453Hours (in match)
7,957Bombs planted
3,425Bombs defused

Most-used weapons

AK-4749,159
AWP24,585
MAC-103,290
UMP-453,290
P903,289
FAMAS3,167

Lifetime map wins

7,723dust2
6,211inferno
1,968train
1,856nuke
1,784lake
1,684bank
1,659cbble
1,513vertigo

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

Faceit stats

Combat

95Matches
53%Win rate
1.33Avg K/D
88.2ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2759%1.4117.7
Inferno1040%1.7015.1
Dust2862%1.1815.4
Anubis633%1.2418.8
Nuke667%1.2617.8
Ancient475%1.4420.0
Train1100%1.0018.0

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.

25.8%Headshot accuracy
30.2%Accuracy (enemy spotted)
32.2%Spray accuracy
87.2%Counter-strafing
10.5°Preaim
616msReaction time
24.7%T opening success
44.6%CT opening success
0.80Enemies flashed / flash
7.1%Flash assists
13.04HE damage / grenade
12.01Flashes / 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 24.7387% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0529%23 Aug
ancient10–130.1030%23 Aug
dust210–13-0.0222%20 Aug
train6–13-0.0414%14 Aug
train13–10-0.0727%14 Aug
train13–50.0813%9 Aug
mirage3–13-0.0245%9 Aug
cache13–4-0.0126%5 Aug
ancient2–13-0.1036%5 Aug
train13–10.0821%3 Aug
vertigo13–100.0137%3 Aug
ancient8–130.0425%29 Jul
vertigo13–110.0317%29 Jul
vertigo2–13-0.0616%29 Jul
anubis13–90.0025%25 Jul
anubis7–130.0450%25 Jul
cache9–13-0.0516%7 Jul
cache9–13-0.0118%7 Jul
train10–13-0.0224%17 Jun
vertigo13–8-0.0130%10 Jun
mirage4–13-0.0424%10 Jun
nuke9–13-0.0218%10 Jun
vertigo13–80.0420%5 Jun
cache13–7-0.0426%5 Jun
ancient5–13-0.0825%5 Jun
vertigo11–130.0323%3 Jun
train4–130.0443%30 May
nuke5–130.1029%26 May
mirage7–13-0.0131%26 May
cache13–20.0517%26 May
mirage13–30.1220%25 May
inferno8–130.0131%25 May
train13–8-0.0433%20 May
cache4–13-0.0132%20 May
mirage13–90.0523%18 May
cache13–90.0124%18 May
cache13–110.0128%16 May
mirage13–10-0.038%16 May
nuke9–13-0.0841%15 May
cache13–40.0219%15 May
nuke3–130.0125%12 May
cache10–13-0.0325%12 May
vertigo6–130.0131%11 May
cache13–100.0320%9 May
cache11–130.0317%8 May
cache7–13-0.0413%7 May
cache10–13-0.0313%7 May
train12–12-0.0516%5 May
cache13–90.0325%5 May
mirage5–130.0221%3 May
cache5–13-0.0123%3 May
cache5–13-0.0129%2 May
cache13–10.1118%2 May
dust25–13-0.0617%1 May
ancient6–13-0.1020%1 May
cache13–11-0.0112%1 May
cache13–20.0328%1 May
nuke8–13-0.0728%29 Apr
cache11–130.0111%29 Apr
cache5–13-0.0314%29 Apr
mirage13–50.1325%29 Apr
cache10–13-0.067%29 Apr
cache9–13-0.0614%29 Apr
cache13–11-0.0418%29 Apr
cache13–5-0.0120%29 Apr
vertigo8–130.0627%28 Apr
dust211–13-0.0218%28 Apr
overpass13–5-0.0418%28 Apr
mirage10–13-0.0223%27 Apr
mirage7–13-0.0225%27 Apr
mirage13–11-0.0324%27 Apr
nuke13–70.0421%27 Apr
nuke7–13-0.0523%26 Apr
nuke13–8-0.0531%26 Apr
italy13–6-0.0127%26 Apr
ancient3–13-0.0234%26 Apr
overpass10–13-0.0220%26 Apr
mirage10–13-0.0418%25 Apr
inferno10–13-0.0517%25 Apr
mirage13–90.0123%25 Apr
ancient13–60.0214%25 Apr
anubis13–90.0316%24 Apr
dust212–12-0.0032%24 Apr
mirage10–130.0825%24 Apr
inferno13–80.0422%24 Apr
train4–130.0631%24 Apr
nuke11–130.0524%23 Apr
alpine13–80.0718%23 Apr
mirage13–60.0627%23 Apr
train13–90.0525%23 Apr
vertigo12–120.0319%23 Apr
train11–130.0322%22 Apr
train13–70.0733%22 Apr
nuke3–13-0.069%21 Apr
inferno13–8-0.0617%21 Apr
mirage10–130.0325%21 Apr
nuke13–6-0.0121%20 Apr
mirage13–100.0625%20 Apr
overpass13–60.0418%20 Apr
vertigo9–13-0.0615%20 Apr

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 →