CLB

CLB — CS2 Stats

76561199441219575[U:1:1480953847]Steam profile ↗

826Tracked matches44%Win rate2024Tracked since
1,340Hours in CS5Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating13,989Blue band · top ~33.8% of ranked players (population est.)
CSDB Leaderboard#8713 of 12936 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGCLBFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,989 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning43
Utility50

0–100 skill scores via Leetify.

Recent form

COLD474211Last 10047%Win rateTTLLLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim4.7
Aggression5.2
Utility5.0
Positioning4.3
Opening Duels2.0
Clutch0.0

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 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 642ms 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

Aim4.7
Positioning4.3
Utility5.0
Mechanics5.1
Opening Duels2.0
Win Impact3.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time635ms−3ms
first ⅓ avg 639ms → last ⅓ avg 635ms
Headshot accuracy19.5%−3.1%
first ⅓ avg 22.5% → last ⅓ avg 19.5%

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

0.11Best rating — dust2 13–3
131Biggest win — dust2
4Longest win streak
84In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 12mirageWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C25111444%0.02
nukeB189950%0.01
mirageD1531220%0.01
ancientS128467%0.00
cacheA106460%-0.00
infernoD103730%-0.02
anubisA53260%0.02
vertigo220100%0.04
train21150%-0.03
overpass110100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,329Lifetime kills
0.63K/D
2,226Matches
35.7%Match win rate
46.2%Headshot % · Top 50% of tracked players
0.5%Shot accuracy
3,822MVPs
2,197Hours (in match)
1,283Bombs planted
372Bombs defused

Most-used weapons

Lifetime map wins

4,108nuke
2,230dust2
1,180inferno
769vertigo
338train
13office
5ar_shoots
3ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
0.24Avg K/D
35.2ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.285.0
Vertigo1100%0.193.0

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.

19.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
29.1%Spray accuracy
73.2%Counter-strafing
11.2°Preaim
642msReaction time
37.4%T opening success
38.2%CT opening success
0.47Enemies flashed / flash
6.4%Flash assists
5.06HE damage / grenade
15.02Flashes / 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. 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 0.4707 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.4219% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0329%28 Aug
dust212–120.0524%25 Aug
mirage10–130.0122%24 Aug
mirage7–13-0.0528%21 Aug
nuke6–130.0116%21 Aug
dust24–13-0.0310%21 Aug
mirage7–13-0.0710%21 Aug
nuke13–5-0.0618%10 Aug
nuke3–13-0.0924%9 Aug
ancient13–60.0218%9 Aug
inferno4–13-0.0413%9 Aug
dust24–13-0.0221%9 Aug
dust212–120.0720%9 Aug
ancient13–60.0129%7 Aug
dust29–130.0112%7 Aug
dust213–30.0333%7 Aug
vertigo13–11-0.0220%7 Aug
dust213–110.1127%6 Aug
dust212–12-0.0313%6 Aug
train10–13-0.0519%4 Aug
mirage8–13-0.0133%4 Aug
mirage9–130.0018%4 Aug
dust213–10.0229%4 Aug
ancient7–130.0120%4 Aug
train13–8-0.0012%1 Aug
dust210–130.0812%1 Aug
nuke9–30.1014%1 Aug
vertigo13–30.0922%1 Aug
cache15–15-0.0316%31 Jul
ancient13–70.0116%31 Jul
dust27–20.0317%31 Jul
inferno5–130.0113%31 Jul
inferno13–100.0314%29 Jul
dust29–130.0319%29 Jul
nuke13–110.0925%29 Jul
dust213–20.0329%28 Jul
dust27–13-0.0517%28 Jul
ancient13–10-0.0224%28 Jul
overpass13–80.0424%28 Jul
nuke13–50.0219%27 Jul
nuke13–80.0122%27 Jul
ancient3–130.0129%27 Jul
nuke13–40.0323%27 Jul
ancient13–50.0326%27 Jul
nuke9–30.0416%26 Jul
mirage15–150.0019%24 Jul
dust213–30.1129%24 Jul
mirage13–7-0.0526%24 Jul
ancient13–100.0015%24 Jul
dust213–90.0044%24 Jul
dust212–12-0.0213%22 Jul
dust213–110.0430%22 Jul
nuke7–13-0.10100%22 Jul
cache13–11-0.0017%22 Jul
cache13–110.0429%22 Jul
ancient13–20.0217%22 Jul
mirage9–13-0.0318%21 Jul
inferno7–13-0.0319%21 Jul
mirage10–130.0023%21 Jul
anubis13–20.0516%21 Jul
dust29–130.1138%21 Jul
dust23–13-0.0215%21 Jul
ancient1–11-0.067%20 Jul
cache15–15-0.0913%20 Jul
nuke13–80.0221%20 Jul
anubis15–15-0.0618%19 Jul
anubis9–13-0.0027%19 Jul
cache5–80.0129%19 Jul
mirage13–60.0024%18 Jul
dust213–16-0.0416%18 Jul
dust211–13-0.0620%18 Jul
dust213–100.0632%18 Jul
nuke4–130.0126%18 Jul
ancient13–11-0.0117%18 Jul
anubis13–20.0624%18 Jul
inferno4–9-0.1515%18 Jul
cache13–3-0.0119%18 Jul
cache13–50.0325%18 Jul
inferno13–60.0630%18 Jul
dust213–80.0619%18 Jul
nuke11–130.1130%18 Jul
cache13–40.0829%9 Jul
inferno14–160.0324%9 Jul
cache13–10-0.0530%8 Jul
mirage5–130.0624%8 Jul
mirage12–120.0624%8 Jul
nuke7–13-0.1014%8 Jul
nuke10–13-0.0016%8 Jul
mirage13–90.1021%8 Jul
nuke6–130.0136%7 Jul
mirage6–130.0222%7 Jul
mirage15–150.0327%6 Jul
ancient8–13-0.0223%6 Jul
inferno13–90.078%6 Jul
nuke10–130.0313%5 Jul
anubis13–110.0424%5 Jul
inferno11–13-0.0524%5 Jul
inferno5–13-0.1018%5 Jul
dust213–20.0633%5 Jul
nuke13–70.018%5 Jul

Match data via Leetify.

Milestones

500 Matches
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