Lil Plump — CS2 Stats

76561198290459331[U:1:330193603]

619Tracked matches44%Win rate2023Tracked since
471Hours in CS
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.8%42.5%44.2%4.4% short
Shot accuracy7.9%10.9%11.2%3.3% short
Kill/death ratio1.270.991.04above
Match win rate44.6%44.2%45.3%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLil PlumpFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility24

0–100 skill scores via Leetify.

Recent form

COLD463915Last 10046%Win rateTLWLLLTTWW

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

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

Aim6.7
Aggression7.0
Utility2.4
Positioning5.6
Opening Duels2.9

Limited utility dependence

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 639ms 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

Aim6.7
Positioning5.6
Utility2.4
Mechanics8.0
Opening Duels2.9
Win Impact3.1

Composite 5.3/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time635ms+29ms
first ⅓ avg 606ms → last ⅓ avg 635ms
Headshot accuracy16.2%+0.8%
first ⅓ avg 15.4% → last ⅓ avg 16.2%

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

0.23Best rating — inferno 13–4
130Biggest win — vertigo
7Longest win streak
83In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%0.03
vertigoA148657%0.02
mirageA117464%0.01
ancientD113827%0.05
infernoC114736%0.04
anubisS96367%0.04
cacheD72529%0.03
nukeD62433%0.04
trainS54180%0.02
overpass21150%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,725Lifetime kills
1.27K/D · Top 10% of Level 4 players
1,232Matches
44.6%Match win rate · Top 50% of Level 4 players
39.8%Headshot %
7.9%Shot accuracy
2,735MVPs
471Hours (in match)
1,091Bombs planted
423Bombs defused

Most-used weapons

Lifetime map wins

2,355dust2
1,713inferno
1,420vertigo
581nuke
384train
43office
39cbble
11italy

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

Faceit stats

Combat

10Matches
40%Win rate
1.40Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.129.0
Dust210%1.5420.0
Overpass10%0.5011.0
Vertigo10%1.0813.0
Anubis1100%3.3320.0
Inferno10%1.0716.0

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.

13.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
37.1%Spray accuracy
86.2%Counter-strafing
10.7°Preaim
639msReaction time
36.1%T opening success
47.3%CT opening success
0.46Enemies flashed / flash
7.9%Flash assists
3.64HE damage / grenade
2.23Flashes / 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. 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 13.5101% — below the 15% mark we flag

    Aim Training
  2. 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 0.46 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 36.091% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0211%28 Aug
anubis9–13-0.0114%28 Aug
mirage13–2-0.0121%28 Aug
dust22–130.0323%27 Aug
dust21–40.1225%27 Aug
ancient8–13-0.0218%26 Jul
nuke12–120.0111%26 Jul
mirage12–120.0115%22 Jul
anubis13–30.0220%18 Jul
inferno13–7-0.019%18 Jul
vertigo13–20.0910%18 Jul
cache13–30.0414%4 Jul
inferno10–130.026%18 Jun
cache7–13-0.0312%14 Jun
vertigo11–130.0313%10 Jun
anubis7–130.0119%27 May
inferno13–40.238%25 May
dust23–13-0.065%25 May
vertigo13–00.1811%25 May
mirage13–40.106%16 May
ancient7–130.0315%16 May
nuke8–130.0619%16 May
inferno10–13-0.0116%15 May
ancient13–50.1415%12 May
cache13–80.0115%12 May
nuke4–13-0.0511%8 May
dust213–80.096%8 May
cache6–130.0812%6 May
inferno10–13-0.02100%6 May
ancient13–40.139%1 May
cache7–130.0116%1 May
cache12–120.0617%29 Apr
cache3–13-0.0014%29 Apr
inferno4–13-0.023%27 Apr
vertigo13–110.0711%27 Apr
anubis13–100.0311%23 Apr
vertigo10–130.0210%21 Apr
dust213–90.089%21 Apr
inferno13–100.019%18 Apr
dust213–110.019%18 Apr
inferno12–120.108%17 Apr
nuke3–13-0.0211%15 Apr
anubis5–130.069%15 Apr
ancient3–130.0314%10 Apr
dust21–13-0.0413%10 Apr
mirage5–13-0.048%10 Apr
vertigo8–2-0.038%9 Apr
mirage5–13-0.043%8 Apr
vertigo9–130.0210%8 Apr
ancient5–13-0.028%6 Apr
dust213–11-0.038%6 Apr
nuke13–50.0612%4 Apr
dust213–110.0013%3 Apr
vertigo13–30.0710%3 Apr
anubis13–20.1313%3 Apr
dust210–130.0119%16 Mar
dust210–130.0216%16 Mar
dust28–130.0015%13 Mar
ancient7–130.0219%13 Mar
dust213–70.1321%6 Mar
mirage13–80.0618%6 Mar
mirage13–11-0.019%12 Feb
vertigo13–5-0.0514%12 Feb
dust213–110.0117%30 Jan
anubis13–100.0517%30 Jan
mirage13–9-0.0010%27 Jan
dust211–130.0418%16 Jan
inferno13–110.0321%22 Nov
mirage10–4-0.0221%13 Nov
dust213–20.0529%13 Nov
inferno10–130.0316%13 Nov
inferno12–120.0716%1 Nov
dust212–120.0821%1 Nov
dust212–120.0220%30 Oct
vertigo12–12-0.0414%23 Oct
vertigo13–70.008%22 Oct
anubis13–100.0414%22 Oct
train13–50.0219%9 Oct
dust213–20.0513%9 Oct
ancient11–13-0.0413%9 Oct
mirage12–120.0413%4 Oct
train13–40.0619%4 Oct
dust25–13-0.059%4 Oct
train2–13-0.0418%2 Oct
dust212–12-0.0220%2 Oct
vertigo4–13-0.1013%27 Sept
overpass10–130.0410%25 Sept
overpass13–110.029%24 Sept
dust212–120.0515%20 Sept
ancient12–120.1110%18 Sept
dust212–120.0714%18 Sept
vertigo8–13-0.0119%14 Sept
nuke13–20.1711%13 Sept
train13–10-0.0315%13 Sept
mirage13–100.0020%11 Sept
anubis13–50.049%11 Sept
vertigo11–40.0218%9 Sept
ancient13–60.1314%9 Sept
train13–10.1010%9 Sept
ancient12–120.0617%8 Sept

Match data via Leetify.

Recent teammates

Milestones

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