Klibber mech

Klibber mech — CS2 Stats

LU76561198306120182[U:1:345854454]Steam profile ↗✓ No bans

801Tracked matches59%Win rate2020Tracked since
3,369Hours in CS2Hrs last 2 wks
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating21,266Top 50% of 215,248 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#67285 of 261504 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,266 +34 6 Jan – 6 Nov · 33 days played
18,55121,350peak 21,3506 Jan6 Nov
21,368Peak Premier in tracked matches
52Days played since 2025-12-29

Premier CS Rating

  • 84 below peak (21,350)
  • +2,715 over 30 days · improving
  • +1,869 over 90 days
  • Next: Red band at 25,000 — 3,734 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-23
  • Blue band first seen 2026-10-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate40.6%50.9%
Shot accuracy13.1%13.7%
Kill/death ratio0.941.09
Match win rate50.5%48.4%

Share this profile

CSDB.GGKlibber mechFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,266 · Pink bandcsdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateLWWWLWWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · +118ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 684ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 650ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8
Utility3.6
Positioning4.6
Opening Duels2.7
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 579ms 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
Positioning4.6
Utility3.6
Mechanics5.7
Opening Duels2.2
Win Impact7.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time578ms−62ms
first ⅓ avg 640ms → last ⅓ avg 578ms
Headshot accuracy13.7%−3.0%
first ⅓ avg 16.7% → last ⅓ avg 13.7%

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.

Personal bests

0.09Best match rating · 13–10 · dust2, 11 Jul →
33%Best headshot accuracy · 13–6 · mirage, 21 Oct →
375msFastest reaction time · 6–13 · inferno, 18 Oct →
13–1Biggest win · ancient, 3 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 63% over 8cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%-0.02
infernoC188–1044%-0.03
anubisA127–558%-0.01
ancientB105–550%0.01
nukeA85–363%0.01
cacheC83–538%0.00
dust2A85–363%-0.00
office—33–0100%-0.06
train—32–167%-0.00

Across the last 100 tracked matches.

Lifetime stats

72,485Lifetime kills
0.94K/D
3,881Matches
50.5%Match win rate · Top 50% of Level 10 players
40.6%Headshot %
13.1%Shot accuracy
9,954MVPs
1,801Hours (in match)
4,918Bombs planted
1,240Bombs defused

Most-used weapons

AK-4719,091
AWP9,409
MP93,597
MAC-103,456
Knife1,954

Lifetime map wins

9,711inferno
7,354dust2
3,140nuke
2,076train
1,487vertigo
221office
20cbble
14lake

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

Faceit stats

Combat

1,664Matches
51%Win rate
1.03Avg K/D
79.0ADR
39%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19659%1.0415.8
Anubis9953%1.0816.3
Ancient6551%0.9315.5
Dust26434%0.9414.9
Inferno5951%1.1116.4
Nuke2264%1.2017.7
Train5100%1.0618.2
Vertigo450%1.5019.3

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.

13.3%Headshot accuracy
34.8%Accuracy (enemy spotted)
47.9%Spray accuracy
75.7%Counter-strafing
13.8°Preaim
579msReaction time
35.0%T opening success
42.2%CT opening success
0.34Enemies flashed / flash
4.2%Flash assists
6.96HE damage / grenade
8.47Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.7763° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3252% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3432 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0610%6 Nov →
nuke13–7-0.0110%6 Nov →
anubis13–20.0211%1 Nov →
anubis16–13-0.035%1 Nov →
cache9–13-0.086%29 Oct →
inferno13–10-0.025%29 Oct →
mirage13–60.0333%21 Oct →
mirage13–4-0.0018%21 Oct →
mirage13–70.0315%18 Oct →
mirage14–160.0017%18 Oct →
inferno6–130.0012%18 Oct →
inferno7–13-0.090%9 Oct →
inferno13–4-0.0111%30 Sept →
office13–11-0.107%30 Sept →
mirage4–10.039%30 Sept →
office13–8-0.0813%28 Aug →
office13–8-0.0220%14 Aug →
mirage2–13-0.0911%13 Aug →
anubis11–13-0.0424%11 Aug →
mirage13–11-0.0212%10 Aug →
cache8–0-0.0521%10 Aug →
anubis13–30.0413%18 Jul →
nuke8–13-0.0415%17 Jul →
cache5–13-0.0812%16 Jul →
inferno13–6-0.0220%16 Jul →
mirage6–13-0.0129%16 Jul →
cache9–13-0.0113%16 Jul →
mirage5–13-0.0316%16 Jul →
nuke13–8-0.0117%15 Jul →
mirage15–15-0.077%15 Jul →
anubis13–8-0.0412%15 Jul →
cache13–100.0516%15 Jul →
ancient13–80.0217%13 Jul →
inferno16–14-0.040%13 Jul →
mirage13–8-0.0025%13 Jul →
anubis13–40.0222%13 Jul →
cache13–30.0212%13 Jul →
ancient13–80.0220%13 Jul →
dust27–13-0.0213%13 Jul →
ancient11–130.0014%13 Jul →
ancient13–80.0716%13 Jul →
inferno3–13-0.0623%12 Jul →
mirage13–30.027%12 Jul →
mirage13–40.0616%12 Jul →
inferno16–12-0.0523%12 Jul →
dust213–100.0927%11 Jul →
ancient6–130.0413%11 Jul →
cache6–130.0713%11 Jul →
ancient9–13-0.0215%11 Jul →
inferno13–160.0619%11 Jul →
inferno3–13-0.0526%11 Jul →
nuke13–6-0.0117%9 Jul →
cache11–130.0922%7 Jul →
nuke13–100.0524%30 Jun →
mirage1–13-0.0414%2 Jun →
ancient7–13-0.0422%21 May →
dust213–80.0118%26 Apr →
mirage6–13-0.0211%19 Apr →
anubis4–13-0.0513%19 Apr →
ancient13–100.0115%14 Apr →
anubis13–10-0.0121%14 Apr →
mirage13–9-0.0223%5 Apr →
anubis12–12-0.0433%17 Mar →
mirage15–15-0.0115%15 Mar →
mirage13–10-0.0827%3 Mar →
anubis4–13-0.0620%3 Mar →
inferno13–6-0.0121%15 Feb →
mirage11–130.0416%7 Feb →
dust22–90.0030%7 Feb →
inferno13–10-0.0218%30 Jan →
mirage10–13-0.0115%28 Jan →
dust216–130.0116%26 Jan →
inferno15–15-0.0120%25 Jan →
mirage13–5-0.0118%25 Jan →
dust213–5-0.0614%25 Jan →
dust213–2-0.0318%24 Jan →
inferno10–13-0.0213%24 Jan →
mirage3–13-0.0322%23 Jan →
mirage13–80.0313%22 Jan →
anubis5–130.0418%22 Jan →
inferno13–80.0221%16 Jan →
mirage6–13-0.1319%15 Jan →
mirage13–11-0.0018%14 Jan →
mirage7–13-0.0233%13 Jan →
mirage4–130.0013%13 Jan →
dust210–13-0.039%13 Jan →
train13–8-0.0214%11 Jan →
inferno5–13-0.0720%11 Jan →
inferno6–13-0.0120%9 Jan →
mirage9–13-0.0513%9 Jan →
nuke1–60.0620%6 Jan →
mirage5–13-0.0118%6 Jan →
inferno9–13-0.069%5 Jan →
ancient13–10.0120%3 Jan →
anubis13–100.0218%3 Jan →
train4–13-0.028%3 Jan →
nuke11–130.0113%2 Jan →
train13–50.0311%30 Dec →
nuke13–60.0513%30 Dec →
ancient12–120.0011%29 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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