lil Moochie

lil Moochie — CS2 Stats

76561198280820476[U:1:320554748]Steam profile ↗1 game ban

805Tracked matches53%Win rate2021Tracked since
2,033Hours in CS17Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating23,450Top 25% of 215,558 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#39364 of 261648 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (18 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: 23,450 -1,668 18 Aug – 28 Oct · 21 days played
23,45025,555peak 25,55518 Aug28 Oct
25,892Peak Premier in tracked matches
999Highest Faceit ELO seen on CSDB
48Days played since 2024-05-27

Premier CS Rating

  • 2,105 below peak (25,555)
  • -487 over 30 days · declining
  • Next: Red band at 25,000 — 1,550 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,911), 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 rate42.8%42.7%43.8%1.0% short
Shot accuracy5.7%11.2%12.0%6.3% short
Kill/death ratio0.810.991.020.21 short
Match win rate36.4%43.9%44.7%8.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

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 MoochieFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER23,450 · Pink bandPEAK ELO999csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning64
Utility34

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateWLWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −3.5pp headshot accuracy · −13ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 546ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.7
Utility3.4
Positioning6.4
Opening Duels3.9

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.

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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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.

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
Positioning6.4
Utility3.4
Mechanics5.7
Opening Duels4.1
Win Impact6.1

Composite 5.8/10 (Solid), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time539ms−22ms
first ⅓ avg 561ms → last ⅓ avg 539ms
Headshot accuracy18.2%+2.1%
first ⅓ avg 16.1% → last ⅓ avg 18.2%

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.

Personal bests

0.18Best match rating · 5–5 · boulder, 22 Aug →
43%Best headshot accuracy · 8–6 · rush_001, 11 Oct →
297msFastest reaction time · 6–13 · ancient, 7 Oct →
13–1Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–3In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeC2911–1838%0.02
nukeS128–467%0.01
infernoD102–820%-0.03
mirageB105–550%-0.06
dust2S96–367%-0.02
ancientC83–538%-0.07
anubisB63–350%-0.01
cacheB63–350%0.00
vertigo—31–233%-0.02
boulder—20–20%0.09
overpass—21–150%-0.00
rush_001—11–0100%0.03
fachwerk—11–0100%0.08
train—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,478Lifetime kills
0.81K/D
2,853Matches
36.4%Match win rate
42.8%Headshot % · Top 50% of Level 4 players
5.7%Shot accuracy
3,935MVPs
984Hours (in match)
1,244Bombs planted
272Bombs defused

Most-used weapons

AK-478,741
AWP3,189
AUG1,444
XM10141,115
P901,047

Lifetime map wins

2,734dust2
1,749nuke
1,678office
1,430inferno
606vertigo
490train
316lake
77italy

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

Faceit stats

Combat

4Matches
50%Win rate
0.95Avg K/D
—ADR
26%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.6710.0
Vertigo1100%1.1727.0
Nuke10%0.7115.0
Anubis1100%1.2520.0

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.

18.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
30.9%Spray accuracy
75.7%Counter-strafing
9.1°Preaim
534msReaction time
47.3%T opening success
45.5%CT opening success
0.41Enemies flashed / flash
1.3%Flash assists
10.11HE damage / grenade
4.13Flashes / 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 0.4127 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–40.0214%12 Nov →
inferno7–9-0.066%12 Nov →
office13–2-0.0113%11 Nov →
office9–13-0.0318%11 Nov →
office9–13-0.0513%10 Nov →
inferno6–13-0.0227%10 Nov →
office7–13-0.0115%7 Nov →
office13–100.0118%7 Nov →
office6–13-0.0224%6 Nov →
office5–130.0124%6 Nov →
office13–50.0423%6 Nov →
office13–50.0120%5 Nov →
boulder3–13-0.0121%3 Nov →
office13–90.0420%1 Nov →
office13–110.0913%29 Oct →
anubis7–13-0.0413%28 Oct →
office13–110.0230%28 Oct →
office13–60.0819%28 Oct →
office6–13-0.0127%22 Oct →
office6–13-0.0123%21 Oct →
office3–130.0321%21 Oct →
office13–4-0.046%20 Oct →
inferno10–13-0.0727%20 Oct →
dust213–8-0.024%14 Oct →
mirage13–11-0.0618%13 Oct →
rush_0018–60.0343%11 Oct →
ancient6–13-0.0517%7 Oct →
ancient5–13-0.0720%5 Oct →
dust213–110.0416%30 Sept →
inferno13–1-0.0013%30 Sept →
nuke13–2-0.0611%30 Sept →
anubis13–70.0615%29 Sept →
vertigo5–13-0.0213%29 Sept →
nuke3–13-0.0621%29 Sept →
nuke10–13-0.0310%29 Sept →
dust22–7-0.0138%28 Sept →
dust24–13-0.0815%28 Sept →
ancient10–13-0.0517%27 Sept →
ancient1–13-0.105%24 Sept →
dust29–13-0.0010%23 Sept →
anubis12–12-0.0013%22 Sept →
mirage2–13-0.070%22 Sept →
nuke13–10.0117%22 Sept →
cache13–8-0.0316%22 Sept →
vertigo9–50.1718%21 Sept →
anubis2–13-0.0010%21 Sept →
office12–120.0227%21 Sept →
overpass13–80.0313%20 Sept →
office12–120.0727%20 Sept →
ancient13–10-0.0622%15 Sept →
office10–130.0122%13 Sept →
mirage7–13-0.0314%12 Sept →
office13–70.0423%12 Sept →
nuke3–00.0725%12 Sept →
office7–13-0.0511%7 Sept →
nuke13–30.0918%7 Sept →
office12–120.0410%5 Sept →
ancient13–9-0.0423%3 Sept →
inferno4–10-0.100%3 Sept →
office12–12-0.0328%2 Sept →
nuke12–120.0410%31 Aug →
inferno3–13-0.046%30 Aug →
nuke5–1-0.0521%30 Aug →
dust213–70.0213%29 Aug →
mirage0–7-0.080%29 Aug →
cache13–50.036%29 Aug →
office10–130.0231%28 Aug →
ancient13–11-0.0512%27 Aug →
nuke7–130.0018%26 Aug →
ancient9–13-0.1314%25 Aug →
mirage5–1-0.0423%25 Aug →
inferno2–8-0.0522%25 Aug →
mirage12–4-0.0421%25 Aug →
cache4–13-0.0313%24 Aug →
office12–120.0311%24 Aug →
nuke13–60.0823%23 Aug →
boulder5–50.1826%22 Aug →
inferno8–130.0121%22 Aug →
office10–130.0313%20 Aug →
nuke13–70.039%20 Aug →
cache8–130.0210%20 Aug →
cache13–40.0424%19 Aug →
inferno13–10.0219%19 Aug →
fachwerk13–60.0816%19 Aug →
mirage5–13-0.0513%19 Aug →
office11–130.139%19 Aug →
mirage3–13-0.0320%19 Aug →
inferno0–8-0.035%18 Aug →
mirage13–10-0.088%18 Aug →
dust213–10.0413%18 Aug →
dust213–9-0.0917%18 Aug →
mirage13–6-0.0911%18 Aug →
cache2–8-0.0115%18 Aug →
nuke13–50.0212%18 Aug →
anubis13–5-0.0022%18 Aug →
dust213–10-0.0323%18 Aug →
anubis13–11-0.0811%17 Aug →
overpass12–12-0.0313%17 Aug →
train13–1-0.017%17 Aug →
vertigo1–9-0.2040%17 Aug →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.