Luh Shmunk

Luh Shmunk — CS2 Stats

FI76561199709149797[U:1:1748884069]Steam profile ↗✓ No bans

757Tracked matches59%Win rate2024Tracked since
1,178Hours in CS1Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating23,500Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#38745 of 261524 tracked
FaceitLevel 8 · 1,590 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (24 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: 23,500 +2,541 16 Feb – 21 Oct · 28 days played
20,95926,288peak 26,28816 Feb21 Oct
26,288Peak Premier in tracked matches
1,590Highest Faceit ELO seen on CSDB
51Days played since 2026-02-16

Faceit ELO

  • At peak — 1,590
  • Next: Level 9 at 1,751 — 161 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 2,788 below peak (26,288)
  • Next: Red band at 25,000 — 1,500 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.1%46.8%48.2%4.1% short
Shot accuracy0.1%13.0%13.2%13.1% short
Kill/death ratio0.981.061.070.09 short
Match win rate51.8%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLuh ShmunkFACEITLevel 8 · 1,590 ELOSTANDINGTop 31.2% of rankedPREMIER23,500 · Pink bandPEAK ELO1,590csdb.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

Aim86
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWWWTWWLLT

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · −69ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 483ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 524ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 558ms

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 (+1.3 against its own average).

Aim8.6
Utility4.4
Positioning5.0
Opening Duels2.5
Clutch2.8

Sharp aimerExcellent counter-strafing

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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

CT openings. Opening success drops from 60% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 589ms 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

Aim8.6
Positioning5.0
Utility4.4
Mechanics8.4
Opening Duels5.1
Win Impact8.1

Composite 7.0/10 (Strong), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time585ms−10ms
first ⅓ avg 595ms → last ⅓ avg 585ms
Headshot accuracy21.3%+3.3%
first ⅓ avg 18.0% → last ⅓ avg 21.3%

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

0.14Best match rating · 13–2 · inferno, 22 Mar →
40%Best headshot accuracy · 13–2 · ancient, 19 Oct →
438msFastest reaction time · 13–5 · mirage, 19 Mar →
13–1Biggest win · dust2, 19 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–6In matches decided by ≤2 rounds
18Overtime games

Map breakdown

mirageBest map · 66% over 29infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS2919–1066%-0.01
dust2B2010–1050%-0.01
ancientB157–847%-0.02
anubisC146–843%-0.03
infernoC135–838%0.00
nuke—41–325%-0.01
cache—31–233%-0.06
overpass—20–20%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,270Lifetime kills
0.98K/D
1,552Matches
51.8%Match win rate · Top 25% of Level 8 players
44.1%Headshot %
0.1%Shot accuracy
3,740MVPs
643Hours (in match)
1,643Bombs planted
289Bombs defused

Most-used weapons

AK-477,898
MP91,446
MAC-101,308
AWP978
Knife924

Lifetime map wins

3,204dust2
1,290inferno
866nuke
711vertigo
95train
3ar_shoots
1office

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

Faceit stats

Combat

898Matches
50%Win rate
1.06Avg K/D
85.1ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage37850%1.0615.9
Dust217153%1.0415.8
Anubis11745%1.1416.4
Ancient6948%1.0215.4
Inferno5544%0.9614.6
Nuke5153%1.0115.6
Vertigo3962%1.2118.4
Overpass1346%1.1315.2

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.

20.4%Headshot accuracy
37.2%Accuracy (enemy spotted)
43.2%Spray accuracy
88.0%Counter-strafing
8.9°Preaim
589msReaction time
59.7%T opening success
40.7%CT opening success
0.51Enemies flashed / flash
3.4%Flash assists
13.01HE damage / grenade
6.56Flashes / match

Recommended for you

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.1033%21 Oct →
ancient13–2-0.0240%19 Oct →
anubis13–9-0.0513%19 Oct →
dust213–1-0.0125%19 Oct →
inferno15–150.0216%16 Oct →
anubis13–60.0419%16 Oct →
inferno13–30.0920%16 Oct →
dust213–160.0121%13 Oct →
mirage13–16-0.0423%12 Oct →
anubis15–15-0.0415%10 Oct →
cache13–4-0.0518%10 Oct →
ancient13–7-0.0836%10 Oct →
anubis6–13-0.0413%10 Oct →
dust216–120.0716%10 Oct →
nuke0–130.0526%10 Oct →
cache6–13-0.0931%9 Oct →
cache14–16-0.047%4 Oct →
mirage13–11-0.0114%31 May →
ancient15–150.0223%30 May →
inferno13–80.0918%30 May →
mirage16–14-0.0423%30 May →
mirage13–10-0.065%23 May →
ancient9–13-0.0821%20 May →
mirage13–90.0014%20 May →
dust213–10-0.0625%10 May →
mirage13–50.0033%10 May →
inferno10–13-0.0221%6 May →
anubis11–13-0.0514%29 Apr →
mirage6–13-0.0525%27 Apr →
inferno13–6-0.0130%26 Apr →
ancient15–19-0.0418%16 Apr →
mirage10–130.0121%16 Apr →
inferno9–130.0125%12 Apr →
anubis13–40.0314%10 Apr →
dust216–13-0.0123%8 Apr →
anubis5–13-0.0433%7 Apr →
dust211–130.0213%4 Apr →
ancient11–130.0325%30 Mar →
dust219–170.0319%30 Mar →
mirage0–13-0.0614%30 Mar →
dust215–15-0.0115%30 Mar →
ancient2–13-0.0315%29 Mar →
nuke4–130.0014%28 Mar →
nuke1–13-0.1217%27 Mar →
ancient11–13-0.0415%27 Mar →
inferno6–13-0.0410%27 Mar →
mirage6–13-0.0123%26 Mar →
mirage13–110.0620%25 Mar →
anubis13–70.0512%25 Mar →
mirage13–100.0417%25 Mar →
mirage13–20.0334%25 Mar →
ancient13–8-0.0110%25 Mar →
mirage13–110.0213%25 Mar →
ancient13–30.0518%25 Mar →
mirage6–13-0.0727%22 Mar →
mirage13–160.0117%22 Mar →
mirage1–8-0.0333%22 Mar →
inferno13–20.1429%22 Mar →
ancient16–13-0.0212%21 Mar →
dust213–40.0740%21 Mar →
nuke13–90.0229%21 Mar →
dust213–110.0121%21 Mar →
overpass8–130.0528%21 Mar →
dust26–130.0119%20 Mar →
dust26–13-0.0417%20 Mar →
inferno0–5-0.120%20 Mar →
mirage11–13-0.1029%20 Mar →
mirage13–110.1214%19 Mar →
mirage13–50.0425%19 Mar →
anubis13–4-0.0112%19 Mar →
mirage13–9-0.0024%19 Mar →
mirage13–2-0.0116%19 Mar →
dust28–13-0.0421%19 Mar →
ancient9–13-0.0713%18 Mar →
mirage13–60.018%18 Mar →
ancient12–16-0.0318%18 Mar →
inferno1–13-0.138%17 Mar →
inferno8–130.0629%14 Mar →
ancient13–7-0.0420%13 Mar →
mirage13–3-0.0317%12 Mar →
dust213–8-0.056%10 Mar →
dust213–80.0220%6 Mar →
mirage13–30.0215%5 Mar →
inferno15–15-0.0316%4 Mar →
anubis6–13-0.0614%3 Mar →
dust210–130.0215%1 Mar →
mirage13–90.0125%1 Mar →
dust23–13-0.0718%25 Feb →
mirage13–90.0219%25 Feb →
inferno13–8-0.0117%24 Feb →
anubis7–13-0.0720%24 Feb →
overpass3–130.0321%22 Feb →
mirage12–16-0.0226%21 Feb →
anubis0–13-0.0535%18 Feb →
ancient13–10-0.0224%18 Feb →
dust23–13-0.0613%17 Feb →
dust213–8-0.0219%17 Feb →
dust29–130.0119%16 Feb →
mirage16–14-0.0415%16 Feb →
anubis13–7-0.0112%16 Feb →

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 →

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