Klab0u^ — CS2 Stats

76561197960304948[U:1:39220]

1,441Tracked matches54%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,055Purple band · top ~12.3% of ranked players (population est.)
CSDB Leaderboard#10506 of 21748 tracked
Ladder ranks via Leetify

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CSDB.GGKlab0u^PREMIER19,055 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning41
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateLLWTWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.8
Aggression3.9
Utility7.3
Positioning4.1
Opening Duels0.0
Clutch1.8

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 641ms 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

Aim5.8
Positioning4.1
Utility7.3
Mechanics6.2
Opening Duels0.1
Win Impact6.3

Composite 5.2/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time643ms+1ms
first ⅓ avg 642ms → last ⅓ avg 643ms
Headshot accuracy16.1%−0.5%
first ⅓ avg 16.6% → last ⅓ avg 16.1%

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

0.10Best rating — inferno 13–1
131Biggest win — inferno
4Longest win streak
L2Current streak
156In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B35171849%-0.02
infernoC2281436%-0.00
ancientB178947%-0.01
nukeA169756%-0.01
mirageA53260%-0.05
cache32167%-0.01
anubis1010%-0.06
overpass110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,571Matches
50%Win rate
1.02Avg K/D
69.4ADR
39%Headshot %

Clutches & streaks

29%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23453%0.9211.1
Ancient2763%0.9212.3
Inferno1753%0.9513.5
Nuke1567%1.1912.9
Mirage1323%0.9414.1
Train10%0.7512.0
Overpass10%0.508.0
Cache1100%1.0022.0

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.

15.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.7%Spray accuracy
78.1%Counter-strafing
9.2°Preaim
641msReaction time
24.2%T opening success
31.1%CT opening success
0.62Enemies flashed / flash
4.4%Flash assists
9.99HE damage / grenade
19.73Flashes / 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 24.2056% — 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.

36% 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
inferno4–130.0221%26 Aug
nuke10–130.0012%26 Aug
ancient13–11-0.0118%26 Aug
inferno15–150.0612%26 Aug
dust213–110.0412%26 Aug
inferno11–130.0017%26 Aug
ancient13–9-0.0311%24 Aug
inferno9–13-0.027%24 Aug
dust213–3-0.0014%19 Aug
dust210–13-0.0615%18 Aug
ancient15–15-0.0111%14 Aug
ancient15–15-0.0011%14 Aug
dust213–80.0218%14 Aug
dust213–30.0113%4 Aug
inferno13–7-0.0013%4 Aug
anubis8–13-0.0614%1 Aug
inferno10–13-0.0218%31 Jul
cache13–110.057%31 Jul
dust24–13-0.119%31 Jul
cache3–13-0.0417%19 Jul
inferno4–13-0.0326%19 Jul
dust213–100.0323%19 Jul
dust216–13-0.0513%17 Jul
mirage3–13-0.1317%17 Jul
dust213–16-0.0621%17 Jul
dust215–150.0519%16 Jul
cache13–11-0.0411%16 Jul
inferno13–4-0.0114%16 Jul
dust213–4-0.0524%16 Jul
ancient13–6-0.0022%16 Jul
nuke15–150.0322%16 Jul
dust213–11-0.0533%10 Jul
dust210–13-0.0117%10 Jul
nuke13–30.006%10 Jul
inferno7–13-0.0013%10 Jul
inferno8–13-0.0521%10 Jul
inferno6–13-0.0513%11 Jun
dust213–40.0120%11 Jun
dust213–11-0.0816%29 May
inferno13–40.0828%29 May
nuke13–9-0.006%29 May
ancient11–13-0.0712%29 May
ancient2–13-0.0617%29 May
dust27–13-0.0624%29 May
nuke11–13-0.0615%29 May
dust213–110.0118%29 May
inferno14–160.0012%29 May
nuke7–13-0.0319%28 May
ancient13–11-0.0117%28 May
inferno13–10.1015%28 May
mirage13–8-0.0215%28 May
dust29–13-0.0622%27 May
dust213–110.0314%26 May
nuke10–13-0.0214%26 May
inferno5–13-0.0120%26 May
dust23–13-0.0920%22 May
nuke4–13-0.0031%22 May
mirage4–13-0.0721%22 May
mirage16–13-0.0327%22 May
inferno13–50.0121%22 May
ancient13–70.0114%22 May
nuke9–13-0.0713%21 May
ancient15–15-0.0113%19 May
ancient8–13-0.0011%19 May
dust213–8-0.0414%18 May
dust214–16-0.0318%13 May
dust213–5-0.0315%13 May
nuke13–7-0.0315%13 May
nuke13–6-0.0310%13 May
ancient9–130.0017%13 May
inferno16–14-0.0116%13 May
dust213–160.0619%1 May
dust22–13-0.0114%1 May
ancient9–130.0515%1 May
nuke13–110.0010%1 May
inferno13–11-0.0113%1 May
dust29–13-0.0716%1 May
ancient7–13-0.0814%30 Apr
dust28–13-0.0517%30 Apr
dust213–8-0.0317%27 Apr
nuke13–70.0025%27 Apr
ancient13–10-0.038%23 Apr
inferno6–13-0.0417%22 Apr
dust22–13-0.0917%22 Apr
inferno11–13-0.0718%22 Apr
nuke13–8-0.0019%21 Apr
ancient13–60.0313%21 Apr
dust25–130.0225%20 Apr
dust24–13-0.078%18 Apr
inferno4–13-0.037%18 Apr
ancient13–110.0114%18 Apr
mirage13–70.0322%18 Apr
nuke16–130.0118%18 Apr
dust210–130.0119%17 Apr
inferno13–90.0131%17 Apr
dust213–70.0317%17 Apr
nuke16–120.0018%17 Apr
overpass13–110.0328%17 Apr
dust210–13-0.0415%12 Apr
dust213–110.0018%12 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 →